Reviewerly/exHarmony huggingface dataset:
Prenex Separation Logic with One Selector Field

We show that infinite satisfiability can be reduced to finite satisfiability for all prenex formulas of Separation Logic with $$k\ge 1$$ selector fields ( $$\mathsf {SL}^{\!\scriptstyle {k}}$$ ). This fact entails the decidability of the finite and infinite satisfiability problems for the class of prenex formulas of $$\mathsf {SL}^{\!\scriptstyle {1}}$$ , by reduction to the first-order theory of a single unary function symbol and an arbitrary number of unary predicate symbols. We also prove that the complexity of this fragment is not elementary recursive, by reduction from the first-order theory of one unary function symbol. Finally, we prove that the Bernays-Schönfinkel-Ramsey fragment of prenex $$\mathsf {SL}^{\!\scriptstyle {1}}$$ formulas with quantifier prefix in the language is PSPACE-complete.
Two sensitivity orders applied to the comparison of ROC curves

The main aim of this article is to propose a conceptual support for ROC curves within the general field of inequalities by applying the theory of majorization of vectors. For our purpose, we will use the concept of sensitivity associated with a vector in Rn+ which have been recently published in literature. Based on the sensitivity concept we first define an order between two vectors that we will call strong order sensitivity. Secondly, we will define a weak version of the previous order that enables us to expand the range of ROC curves that are comparable in absolute terms. Finally, we will apply the results to compare medical diagnostic procedures using ROC curves where we propose a new index of the reliability of diagnostic methods.
Deep Learning Method with Attention for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMTC), the problem of finding the most relevant label subset of each document from hundreds or even millions labels, has been a practical and important problem since the boom of big data. Significant progress has been made in recent years by the development of machine learning methods. However, although deep learning method has beaten traditional method in other related areas, it has no clear advantage in XMTC when we consider the performance of prediction. In order to improve the performance of deep learning method for Extreme multi-label text classification, we propose a novel feature extraction method to better explore the text space. Specifically, we build the model consisting of attention mechanism, convolutional neural network and recurrent neural network to extract multi-view features. Extensive experiments on four public available datasets show that our method achieves better performance than several strong baselines, including traditional methods and deep learning methods.
ADOPTION OF MOBILE APPLICATION: A STUDY WITH TECHNOLOGY ACCEPTANCE MODEL

With the development of technology, mobile applications have become indispensable for societies and individuals for nearly 20 years.Mobile applications serve in many different areas like communication, education, entertainment, shopping, travel and health.The aim of this study is to examine the perceived usefulness and perceived ease of use for mobile applications and to determine the relationships between attitudes, intentions and actual usage of mobile applications.For this purpose, the reasons behind the adoption of mobile application has been tried to be identified.The convenience sampling method was used for the selection of sample.1000 data were obtained and structural equation modeling was used for analysis.As a result of the study, it has been understood that applications with easy-to-use have a great effect on the choice of users.Users often choose applications that are easy to understand, not cumbersome, and easily available.In addition, it is understood that users who feel trust in mobile applications can recommend to people around them, and they will promote the use of mobile applications both in their social lifes and in their jobs.
The Interactivity of ICT in Language Teaching in the Context of Ukraine University Education

The purpose of the study is to examine and evaluate the impact the the multimedia textbook-based interactive, based on ICT model learning environment provides for the learning styles of the university students majoring in Philology. The study sought to identify tangible (seemingly measurable) and intangible (difficult to measure) gains this learning model brought to both students and instructors. A multimedia textbook to deliver the course in Urkainian Languge was developed for the study. A multi method approach was used to gather feedback and quantitative methods were used to analyze the data. Specifically, Covariance-based Structural Equation Modeling (SEM) software as SPSS AMOS and Textalyzer were used to process the students’ responses to survey questions. The results reported a shift in student preferences in learning, including a greater desire to engage independently with computer-assisted work, quicker problem solving, increased motivation to study, and improved time management and lifelong learning skills. Additionally, there was a shift in teaching approaches of the instructors, namely from a teacher-centered to a student-centered approach. The study may better inform building the learning process for the students with limited learning opportunities or studying the distance learning model. Despite the experimental group involving only the students majoring in Philology, this methodology could be applicable to teaching Ukraninan for Specific Purposes to other majors, such as: Psychology, Law, Cultorology. The research is advancing the knowledge of integration ICT (multimedia) tools into teaching, and specifically the use of multimedia textbooks to deliver Ukrainian English course to the students majoring in Philology.
Cryptocurrencies: Do they qualify as “gross income”?

This article argues that, for purposes of the Income Tax Act 58 of 1962, Bitcoin and cryptocurrencies operating in a like manner are incorporeal property with a comparable value in real currency. The fundamental basis for the advancement of the hypothesis that such cryptocurrencies give rise to protectable proprietary rights are: (i) the rights exist digitally in cyberspace; (ii) the rights have value to their users; (iii) the rights are capable of being owned as cyberproperty; (iv) the rights can be transferred electronically by a possessor of a unique public-private cryptography protected keypair, and (v) the rights can be proved by entries in a digital ledger that records the historical chain of ownership transfers. This article argues further that the average, fair market value of the cryptocurrency in South African Rands on the date of its receipt or accrual as a revenue asset must be included in a taxpayer’s gross income. It is further argued that this value ought to be the average price of the cryptocurrency determined with reference to at least two pricing indices commonly used or accepted in the marketplace.
Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data

Detection of anomalous patterns from traffic data is closely related to analysis of traffic accidents, fault detection, flow management, and new infrastructure planning. Existing methods on traffic anomaly detection are modelled on taxi trajectory data and have shortcoming that the data may lose much information about actual road traffic situation, as taxi drivers can select optimal route for themselves to avoid traffic anomalies. We employ bus trajectory data as it reflects real traffic conditions on the road to detect city-wide anomalous traffic patterns and to provide broader range of insights into these anomalies. Taking these considerations, we first propose a feature visualization method by mapping extracted 3-dimensional hidden features to red-green-blue (RGB) color space with a deep sparse autoencoder (DSAE). A color trajectory (CT) is produced by encoding a trajectory with RGB colors. Then, a novel algorithm is devised to detect spatio-temporal outliers with spatial and temporal properties extracted from the CT. We also integrate the CT with the geographic information system (GIS) map to obtain insights for understanding the traffic anomaly locations, and more importantly the road influence affected by the corresponding anomalies. Our proposed method was tested on three real-world bus trajectory data sets to demonstrate the excellent performance of high detection rates and low false alarm rates.
Automatic Standardization System for Free Text Addresses

In cases where addresses entry should be entered as free text, it is necessary for the delivery service quality to be improved by correcting the errors and deficiencies of the addresses and standardizing them to geographic coordinate information. In our study, it is aimed to develop a system using Support Vector Machines algorithm which is used on matching free text address data with standard address. The model trained with using classified data serves to express the similarity between a free text address and a standard address as a numerical value. It is confirmed that using the developed system, queries made with free text addresses over a database created from 250.000 addresses, the system has achieved a matching accuracy exceeding 81%.
Penerapan Metode Eksperimen untuk Meningkatkan Motivasi Belajar Siswa

[Title: The Implementation of Experiment Method to Improve Students Learning Motivation]. The purpose of this study was to improve the learning motivation of Learners of SMP Negeri 3 Mataram using the experimental method. This research is a classroom action research model of Kemmis and Taggart consisting of three cycles. The stages of each cycle consist of the planning stage, the stage of action, the stage of observation, the stage of reflection. The research implementation subjects were class VIII-3 students, amounting to 29 people on simple aircraft material. The results showed that students' learning motivation in the first cycle obtained an average score of 56.25% consisting of 50% attention, relevance 40%, confidence 75% and satisfaction 60%. Cycle II the average score of students is 68.75% consisting of 72% attention, 78% relevance, 60% confidence and 65% satisfaction. The third cycle average score of 83.27% consisted of 84.16% attention, relevance 80.68%, confidence 84.55% and satisfaction 83.55%. From the results of this study, it can be concluded that the application of experimental methods can increase students' learning motivation in class VIII-3 on Simple Plane material.
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning

Semantic embedding learning for image and text has been well studied in recent years. In this paper, we present a simple while effective dual-encoder (image encoder and text encoder) framework to unify image and text into a common embedding space. Inspired by deep metric learning, we utilize triplet ranking loss to minimize the gap between the two embedding spaces. We train and test our proposed framework on Flickr8k, Flickr30k and MS-COCO datasets respectively, and evaluate the framework on the Corel1k benchmark dataset as an application. Using VGG-19 for image encoder, GRU for text encoder and triplet ranking loss, we gained obvious improvement versus baseline model on image annotation and image search tasks. Additionally, we explore the vector generated by our image encoder and the one by word embedding of plain word for some arithmetic operations. The above experiments demonstrate the effectiveness of our proposed learning framework.
Knowledge representation of non-literal meanings of Chinese words and its applications

As a parataxis language, Chinese is characterized by its word formation. The meanings of Chinese literal words can somehow be expressed by their word-formation patterns and morphemic concepts, but the meanings of non-literal words are quite deviant and retard a deeper understanding of the language. This paper discusses the knowledge representation of non-literal meanings of Chinese words from the perspective of language cognition. We explored the non-literal meanings of disyllabic words in the Modern Chinese Dictionary, labeled the meanings as specific metaphorical or metonymic types, and annotated their source and target domains in Tongyici Cilin and their synonyms with literal meanings. For the first time at the lexical level, our study systematically reveals the distribution of types and semantic domain mapping of Chinese metaphors and metonymy, as well as significantly improves the performance of word similarity calculations under the same algorithmic frame. These ideas, practices, and language resources construction are expected to promote the in-depth development of humanities and computing applications as well.
PERANCANGAN SISTEM INFORMASI PERSEDIAAN BARANG MENGGUNAKAN MICROSOFT ACCESS

Inventory information system is something that is often heard in a company. A company that is engaged in trading of such distributions must be familiar with the inventory system. The use of manual recording has a negative impact on the company. Looking at company earnings and how many remaining items available manually require a long time. This research aims to design an inventory information system to help employees manage goods and find available items more easily so as to reduce mistakes made by employees. The system designed in this study uses Microsoft Access. This research uses descriptive qualitative method, data collection techniques in research conduct interviews, observation, and literature study conducted directly with the owner of the company. This research produces an application that can help control the inventory of goods more effectively and informally so that it can control the goods entering and leaving the company
STUDI KOMPARASI OPTIMASI PARTICLE SWARM DAN ALGORITMA GENETIKA PADA PERANCANGAN FOIL

Foil is a ship installed wings at bottom of hull support. If the speed's ship increases, foil will produce a lift that causes the hull rised and exit from the water. Therefore, there will be a reduction in friction force that results in the ship's velocity increase. The choice of foil is important to improve the ship performance. The study aims to compare 2 optimization methods, namely Genetic Algorithm (GA) and Particle Swarm (PSO) produce maximum lift and minimum drag. The designed foil is Joukowsky type with angle of attack 2°, 4°, 6°, 8°, 10° and 150,000 Reynold numbers. The method is used to state initial geometry of Joukowsky foil, iterated JavaFoil, optimized by GA and PSO using GNU Octave software. They are compared foil produces the maximum optimum C L /C D value. Validation of lift coefficient (C L ) and drag (C D ) Airfoil S9000 is almost similiar with the Williamson experiment. Stall is at angle of attack 9.3 o , with C L error of 3.66%, C D error of 6.83%. It results in the allowed tolerances are below 9.5%. Validation with JavaFoil Solver shows accurate results, with error of 4.15%. GA optimization produces C L /C D averages of 41,777 so it grows 6,544%. Whereas the C L /C D average PSO is 36,197, improve of 4,793%. GA optimization has a fairly high convergence speed at the first, then followed by stagnation process, the resulted solution improves significantly. PSO is focused on local search so convergence is difficult to achieve. The recommended foil optimization is to use GA. Keywords: Drag, GA, Hydrofoil, Lift, PSO
Authority Control: Sharing Cataloguing Experiences Practiced at the Library of Open University of Sri Lanka

The article discusses the nature and importance of subject analysis and the retrieval tools used in subject authority control at the Open University of Sri Lanka (OUSL) library. The article documents the cataloguing practices used at OUSL library and how objectives of the catalogue as mentioned by Cutter are achieved by creating an efficient catalogue. Further, how authority control is done at the OUSL library to create an efficient catalogue which is needed for an efficient retrieval of information is also analyzed. The article explains further, the three types of authority files that are maintained by the OUSL library and the importance of maintaining authority control in digital environment. In addition to that, how cataloguing and classification are practiced to keep the consistency of the catalogue is also discussed. The purpose of the article is to inform others how OUSL has developed and maintained the authority lists with the aim of effective retrieval. The problem that influenced the author to write the article is that there are no proper guidelines available nationally to be used by the professionals. Each institution/country is responsible for authority headings for its own personal and corporate authors. IFLA emphasizes that national authority lists should be available in each country for everyone to use but it is not available in Sri Lanka. This article will be an eye opener for the LIS professionals to think about such as important attempt. The objective of the article is to share OUSL library practices among LIS professionals and to inform the value of maintaining authority control in digital environment. Action research method was applied to conduct the study to achieve the objective. Archival data and author experiences were used to write the article. Survey and observation methods were used to collect archival data. Accordingly, findings were presented with examples. Further, included in the discussion are the requirements for effective subject retrieval from OPAC, bibliographic databases, full text systems, digital archives and the Internet. It attempts to project the nature of subject analysis systems requirements into the future and to draw some conclusions about what new information professionals should be taught and what skills they need to acquire to develop and operate subject analysis systems into the next century. Finally, it challenges information professionals to seize the opportunity and to take responsibility for subject analysis in retrieval of information now and into the future.
Assembly Method for Satellite Propulsion System based on HoloLens

Abstract As the satellite design changes from the traditional 2D mode to the 3D digital mode, the satellite assembly also enters the 3D assembly mode. An effective and accurate propulsion system assembly information transmission method from designers to operators is not formed, in the process of complex propulsion assembly, operators need to frequently confirm status back and forth between satellite and computer stations, and accidents with incorrect polarity in component installation often occur. In order to improve efficiency and quality of satellite propulsion system installation, a system based on HoloLens is designed. The successful application of this system provides a new solution for satellite propulsion system installation and marks a new step in the digital assembly capacity.
A Cascaded Noise-Robust Deep CNN for Face Recognition

State-of-the-art face recognition methods have achieved excellent performance on the clean datasets. However, in real-world applications, the captured face images are usually contaminated with noise, which significantly decreases the performance of these face recognition methods. In this paper, we propose a cascaded noise-robust deep convolutional neural network (CNR-CNN) method, consisting of two sub-networks, i.e., a denoising sub-network and a face recognition sub-network, for face recognition under noise. Instead of separately training the two sub-networks, we jointly train them in a cascaded manner. As a result, the images generated from the denoising sub-network are beneficial to the training of the face recognition sub-network. Furthermore, the dense connectivity is used to concatenate the feature maps layer-by-layer in the denoising sub-network, which can effectively exploit the shallow and deep features of CNN. Experimental results on public face datasets demonstrate the superior performance of the proposed method over several state-of-the-art methods.
An Investigation of Security Approaches in Industrial Robots

Human-robot collaboration is an important direction for the development of the robot industry. In order to ensure that robot can share their workspace with human, the safety mechanism of the robot needs to be considered. Not only to ensure that the robot will not harm the operator, but also to protect the robot itself. We review several related works in the field of human-robot coexistence security methods, including obstacle avoidance and collision detection. Then concerning works of implementation of security approaches in industrial scenario are discussed in detail. Finally, we summarize the problems that have not yet been solved, and hope to inspire new ideals in research of human-robot coexistence security approaches in the future.
PERCEPTION AND OBSTACLES OF COLLEGE STUDENTS IN WRITING

This is a descriptive qualitative research which aimed at finding the perception and obstacles of college students in writing. The subject of this research was all of students in English Education Department of STKIP Suar Bangli in academic year 2018/2019. There were three instruments used in this research, namely questionnaire, interview and documentation. From the data analysis it was found that students of English Education Department considered writing was important for them and considered as the second most important skill after speaking. Teaching writing skill should be taught through the process of writing (drafting, writing and revising) in relax and fun situation with many practices. The evaluation of writing should also provide feedbacks for their writing improvement. The most challenging obstacle that should be solved by the students was finding ideas. The students also proposed some reasons that may trigger them to write such as having idea/inspiration, having assignment, being in a good mood, there is time allocation for writing, having motivation, and being in supportive situation and condition. It is also suggested to teach writing skill by using project-based learning through proper process of writing starting from pre-writing, drafting, writing, revision and editing. The evaluation was also in form of portfolio assessment.
Correction to: Morphometric network drainage analysis for railway location: case study of Saudi Railway Company’s project

The original version of this paper was published with error. The correction in Figure 4 was misinterpreted. Instead of deleting the entire Figure 4b, typesetter only deleted the labels “a” and “b”. Given in this article is the correct figure.