Reviewerly/exHarmony huggingface dataset:
The JaCa-Android Framework for Programming BDI-Based Personal Agents on Mobile Devices

Nowadays, smart mobile applications are a medium allowing more and more for developing (part of) complex software systems, featuring interactive behaviour and exhibiting different degrees of autonomy and flexibility. In agents and MAS literature, Personal Assistant Agents represent the area that mostly can benefit from the availability of frameworks allowing for easily developing native agent-based applications able to exploit features offered by smart mobile and wearable devices. This paper discusses the JaCa-Android framework, a version of JaCaMo redesigned to natively run over mobile devices equipped with Google Android operating system. Exposing native features to observe and perceive the real-time user context and act accordingly, the framework is oriented in particular to the development of smart mobile apps as BDI-based personal assistant agents offering a proper layer of abstraction for this specific purpose.
Research on SFC Fast Bullet State Detection Method Combining Statistics and Conditional Random Field

It is difficult to accurately locate and extract a specific part or region in a fast elastic strip fastener system (SFC) with a single-layer base plate by using image processing technology. In this paper, a SFC fast strip state detection method based on the combination of statistics and conditional random field is proposed. Firstly, the target detection and extraction of the fast strip state of track fastener image on a specific feature scale are carried out by using statistical theory. Then, the fast strip region is segmented by conditional random field model and the strip region is extracted by using conditional random field model. Finally, the SFC fast spring is further detected by the precise location information of the fastener fast spring. The experimental results show that, the method of this paper can accurately extract and detect the SFC fast spring strip, and has better detection effect and accuracy in practical engineering applications.
Linear codes over 𝔽4R and their MacWilliams identity

Let [Formula: see text] be the field of four elements. We denote by [Formula: see text] the commutative ring, with [Formula: see text] elements, [Formula: see text] with [Formula: see text]. This work defines linear codes over the ring of mixed alphabets [Formula: see text] as well as their dual codes under a nondegenerate inner product. We then derive the systematic form of the respective generator matrices of the codes and their dual codes. We wrap the paper up by proving the MacWilliams identity for linear codes over [Formula: see text].
A Proposal for Earthmovers Distance Based KNN Classification for Document Retrieval

The recent rise in the amount of unstructured data in digital format has given rise to the use of natural language processing techniques to understand the data. Organizations have started recognizing the potential in the unstructured textual data. Data from the internet as well as from the organizations' internal repository can help them to gain more insight into the market. Information collected from such sources provides valuable decision-making probability for the organizations. Keyword-based search is the most helpful form of the document retrieval process. The paper discusses such processes used in the current scenario as well as propose a new form of classification technique to be used for the process of document retrieval.
Fraud Detection Using Sequential Patterns from Credit Card Operations

This paper presents a novel method for detection of frauds that uses the differences in temporal dependence (sequential patterns) between valid and non-legitimate credit card operations to increase the detection performance. A two-level fusion is proposed from the results of single classifiers. The first fusion is made in low-dimension feature spaces from the card operation record and the second fusion is made to combine the results obtained in each of the low-dimension spaces. It is assumed that sequential patterns are better highlighted in low-dimension feature spaces than in the high-dimension space of all the features of the card operation record. The single classifiers implemented were linear and quadratic discriminant analyses, classification tree, and naive Bayes. Alpha integration was applied to make an optimal combination of the single classifiers. The proposed method was evaluated using a real dataset with a great disproportion between non-legitimate and valid operations. The results were evaluated using the area under the receiver operating characteristic (ROC) curve of each of the single and fused results. We demonstrated that the proposed two-level fusion combining several low-dimension feature analyses outperforms the conventional analysis using the full set of features.
Development of Multimedia Learning in Hydroponic Farming on Children with Hearing Impairment

Abstract Almost every subject will relate to agricultural material, such as farming and getting to know plants. However, some Special Schools in Padang have very limited yards so children with hearing impairment are farming by using polybags. In the use of polybags, plant care requires greater effort because children must routinely control the nutritional needs and water availability in the polybags. Based on these problems, this article will discuss the development of multimedia learning in hydroponic farming. This study used the research and development (R&amp;D) method. Design validation used an educational expert in teaching children with special needs, an expert in educational technology, and an expert in hydroponics. Data were analyzed using the non-parametric Wilcoxon signed-rank test. The result showed that the subject’s ability to grow crops increased. Based on these results it can be concluded that this multimedia learning in hydroponic farming can be used in agricultural activities in Special Schools. The findings obtained in this study are the development of a video tutorial that has been validated by a validator and can be used on children with hearing impairment who are in special education.
Semantic Analysis of Videos for Tags Prediction and Segmentation

Due to the growing volume of multimedia data generated these days, it has become extremely difficult to manually analyze the data and extract useful information from it. Especially the analysis of videos pertaining to different fields such as surveillance, videos, social media, education, etc. cannot be done efficiently by manual methods. This requires automatic analysis algorithms that can intelligently analyze videos and derive salient information from them. This information can be useful in a number of tasks such as video segmentation, incident detection, anomaly detection, query-based video retrieval, and content censorship. This chapter provides a detailed review of the techniques proposed for video analysis to provide a compact set of video tags. This chapter considers it a joint tag-segmentation problem and critically analyzes the relevant literature to highlight their respective pros and cons. At the end, potential research areas in this domain and suggestions for improvement are discussed.
Iterative Saliency Detection

Salient object detection aims to locate objects that capture viewer's attention within images. Previous approaches often exploit multiple priors to improve the saliency detection results. In this letter we present a novel saliency method by applying two simple priors namely color-spatial, and object proposal. We note directly applying existing these priors does not produce reasonable results. Our solution is to establish the connection between these modified priors via an optimization technique, where a novel, simply iterative manner is introduced as a reliable support for saliency detection. Our framework can produce more accurate saliency maps, yet performs favorably against several state-of-the-art methods on the three image datasets.
Research on Construction of Quality Service Platform of Survey and Mapping

Quality data of Surveying and mapping is an intuitive reflection of the industry's quality situation and technical development situation. The construction of quality service platform of Surveying and mapping is discussed for the problems existing in the management of surveying and mapping quality data and for the demand for the use of quality data. It discusses the contents, framework and techniques used by the platform. The platform can be used to assist scientific decision-making and improve the service level.
Analysis of the Differences in the Presentation Forms of Artistic Design Based on Computer and Hand Drawing

Abstract With the high popularity and extensive application of computers, computer renderings can meet the market demand and conform to the development trend of the times. Hence, they are so widely used in the design market for communication that designers may ignore the existence of hand-drawn renderings to some extent. However, after several years of vigorous development, when we began to review the renderings in the design calmly, we found they have their respective strengths and weaknesses. Neither should be ignored, but they should be combined instead. Computer drawing has accounted for an increasing proportion of the design field. However, hand-drawing still has its irreplaceable features. Based on their respective features and design process, the differences in the forms of presentation between hand drawing and computer drawing can be reasonably analyzed to fully exert their respective roles.
Collapse-free action at a distance by multiple photon annihilations and tracking the action with a photon-number measurement

The so-called quantum vampire effect, or, namely, collapse-free action at a distance by photon annihilation operator, is introduced in Optica 2, 112 (2015). Here, we investigate the quantum vampire effect in scenarios involving multiple photon annihilation on two different optical beams. We show that all $m$-time photon annihilations in some specific state will generate the same output, meaning that $m$ vampires can hide both their locations and their numbers in each optical mode. This demonstrates another interesting and strange phenomenon of quantum optics that originates from the property of the annihilation operator: $\stackrel{\ifmmode \hat{}\else \^{}\fi{}}{a}|0\ensuremath{\rangle}=0$. However, the annihilation operator is a nonphysical and nonunitary operation, and realistic implementation of photon annihilation is performed with the beam splitter and photon detector. We find that realistic photon annihilation will ``leave'' some shadow that makes the quantum vampire easier to track in real scenarios. We design a simple quantum measurement to catch realistic quantum vampires.
Application of BP Neural Network in Evaluation Model of Bridge Blasting Program

Bridge blasting by engineers is a special and professional operation. It is difficult to assess the merits of the blasting scheme. By analyzing the influencing factors of bridge blasting, the evaluation index system of bridge blasting scheme based on blasting personnel, blasting target and blasting tool is constructed, and the evaluation method of military bridge blasting scheme is also studied in this paper. The evaluation model of military bridge blasting scheme based on BP neural network is established. Finally, the military bridge blasting task implemented by an engineer detachment is given as an example. The candidate scheme is evaluated based on relevant training data, and the effectiveness of the model is verified.
Ethics, Economics, and Ransomware: How Human Decisions Grow the Threat

This paper examines the modern history of ransomware and its evolution to the current form of large-scale ransomware attacks (ones that disrupt entire organizations). Within that timeframe, public reporting, articles, and news media reporting on large-scale ransomware attacks is reviewed to create an empirical analysis of ransom payments, conditions that led to those payments, and if data was ultimately recovered. Three factors were discovered that lead to organization to pay the ransom when recovery is impossible or cost-prohibitive: the rise of cyberinsurance companies that dictate responses that lessen their financial exposure, many victim organizations who have to always operate such as hospitals and emergency services, and the fiduciary duty of business executives to act in the best interest of a company. Lastly, we look at the concept of outlawing ransom payments and relate it the policy of outlawing random payments in kidnapping.
An Attentional Control Mechanism for Reasoning and Learning

This paper discuses attentional control mechanism of several systems in context of Artificial General Intelligence. Attentional control mechanism of OpenNARS, an implementation of Non-Axiomatic Reasoning System for research purposes is being introduced with description of the related functions and demonstration examples. Paper also implicitly compares OpenNARS attentional mechanism with the one found in other Artificial General Intelligence systems.
Acceleration of Evolutionary Grammar Using an MISD Architecture Based on FPGA and Petalinuxs

The evolutionary grammars are part of the optimization methods and searching for solutions based on the biological evolution postulates. The proposed technique is based on the genetic recombination’s concept and could be used to automatically generate programs in any programming language according to the specified grammar.The objective of this work is to design and evaluate a hardware acceleration solution for a Java evolutionary grammar software application, performing modifications in the data processing phase using an MISD (Multiple Instruction Single Data) architecture. The implementation is performed on a platform that integrates the programmability of an ARM processor along with the programmable logic of an FPGA with a custom Linux embedded operative system like Petalinux. The tests carried out allow determining the viability of the project, the results show that the parallelized stage is faster than the original solution, and the whole system can be implemented in a SoC.
ISO/TC204/WG3 and Its International Standardization of Geospatial Information in ITS community

In ITS (Intelligent Transport Systems), road maps coded in network data structure with nodes (intersections) and links (routes), are indispensable, not only for car navigation system but also cooperative, connected and automated mobility. TC204/WG3 undertakes standardization of road map which includes functional specification of road maps, location reference methods and exchange formats between geographic data providers. This paper introduces current activity of TC204/WG3, as well as some hot topics in ITS community, such as MaaS, V2X and Dynamic Map.
Knowledge Graph for Multi-source Data Fusion Topics Research

Multi-source data fusion technology is an important cornerstone of research on big data and artificial intelligence. However, due to the limitations of previous knowledge and the reliance on research methods, it has been in a state of repeated research for a long time, which has affected the long-term development of multi-source data fusion technology. With the help of Cite Space software, it is helpful to explore the path of knowledge generation for multi-source data fusion research and to tease out the development of relevant academic history. This paper analyzes 780 important papers in CNKI from 1994 to 2019. Through simple analysis, statistical analysis is performed on the number of publications, distribution of publication institutions and distribution of journals. Through author co-occurrence network analysis, visual analysis is performed on authors and teams that have significant impacts. Through keyword co-occurrence network analysis, this paper tracks the path of knowledge evolution, and explores frontier hotspots.
Real-Time, Cross-Platform Detection of Spectre and Meltdown Attack Variants

Modern processors employ optimization techniques such as out-of-order and speculative execution to maximize the performance. However, they may leave observable side effects that leak the secrets of the system. This phenomenon has led to a proliferation of Spectre and Meltdown attack variants, and this trend will likely continue in the near future. While many makeshift countermeasures have been proposed, they are either not adequately effective or come with inadvertent consequences. New types of processors are designed to deal with these problems; however, those older ones in billions of devices that are currently being used cannot easily or even possibly be replaced. In this chapter, therefore, the authors provide a cross-platform, micro-agent detection system, which can detect four main types of Spectre variants and one variant of Meltdown in real-time in these devices. The empirical performance tests show that the micro-agent system and the in-built detection mechanisms are efficient and effective in detecting such attacks.
Dedale: Demonstrating a Realistic Testbed for Decentralized Multi-agents Problems

The Dedale platform is a peer-to-peer multi-agent testbed dedicated to the study of MAS coordination, learning and decision-making problems under realistic hypotheses: Asynchrony, partial observability, uncertainty, heterogeneity, open environments, limited communication and computation. Dedale facilitates the implementation of reproducible and realistic experiments in discrete and (3D) continuous environments. Agents can face cooperative or competitive exploration, patrolling, pickup and delivery, treasure(s) or agent(s) hunt problems with teams of dozens of heterogeneous agents. This paper presents the demonstration elaborated in order to exibit the platform's capabilities.
A tutorial on using Benaloh public key cryptosystem to encrypt text

Abstract The Benaloh public key cryptosystem is an asymmetric cryptosystem with the property of homomorphic encryption scheme. This study explains how to use Benaloh public key cryptosystem to encrypt a simple text. To increase the clarity of the computation, some intermediate variables which are not available in the original Benaloh cryptosystem have been used. The Benaloh algorithm has been implemented in Python programming language version 2.7.15.
An Empirical Study on Utilization of Technology inEducation and its Usage during Emergency Situations

This paper reviews the role of technology in education and its usage during emergency situationslike lockdowns. This paper emphasizes more on computer technology due to its availability and it being moreeffective way of communication. The main objective of the paper is to canvas the importance of technology theirimplication during the world crisis. As the world is becoming more competitive, knowledge of technology isvery crucial to sustain in any field of work. It has resulted in a big change in our working conditions, teachingmethodology, learning approaches and research area. So, main purpose of this paper is to know the advantagesof technology along with the limitations and challenges faced while inclusion of Technology in education.
Removing randomness from evolutionary algorithms

It is natural to think of Evolutionary Algorithms as highly stochastic search methods. This can also make Evolutionary Algorithms, and particularly recombination, quite difficult to analyze. One way to reduce randomness involves the quadratization of functions, which is commonly used by modern optimization methods, and also has applications in quantum computing. After a function is made quadratic, random mutation is obsolete and unnecessary; the location of improving moves can be calculated deterministically, on average in O(1) time. Seemingly impossible problems, such as the Needle-in-a-Haystack, becomes trivial to solve in quadratic form. One can also provably tunnel, or jump, between local optima and quasilocal optima in O(n) time using deterministic genetic recombination.
FORMATION OF STUDENT MOTIVATION TO OBTAINING SKILLS BY PERFORMING CREATIVE TASKS

The article presents the experience of developing the creativity of students within the educational process in the disciplines of “Informatics”, “Geography”, “Physiography” and “Socio-economic Geography”. Examples of creative tasks proposed for implementation in the framework of independent work of students are given.
[Paper] Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification

A method for image retrieval based on supervised local regression and global alignment (sLRGA) with relevance feedback for insect identification is presented in this paper. Based on the novel sLRGA, which is an extended version of LRGA, the proposed method estimates ranking scores for image retrieval in such a way that the neighborhood structure of a feature space of the database can be optimally preserved with consideration of class information. This is the main contribution of this paper. By measuring the relevance between all of the images and the query image in the database, sLRGA realizes accurate image retrieval. Furthermore, when positive/negative labels to retrieved images are given by users, the proposed method can improve image retrieval performance considering the query relevance information via use of both relevance feedback and sLRGA. This is the second contribution of this paper. Experimental results show the effectiveness of the proposed method.
Design, Pragmatism and Dewey

In this chapter I offer an introduction to the book as a whole. I begin by first exploring the contemporary state of design practice, highlighting a number of recent shifts that have led to the discipline’s transformation. Following on, I offer an overview of the historical trajectory of design research and consider its present configuration as well as some key points of continued contestation. Following on, the relationship between design research and philosophy is briefly examined with reference to the work of Wittgenstein, the phenomenologists and the pragmatists. This leads into a discussion of classical pragmatism in particular. From this, I finally focus in on John Dewey’s work by offering an early, concise outline of his unique brand of pragmatism and its special features. I then move to close the chapter by considering his work in relation to the other, already referenced, popular philosophic perspectives within the field of design research, i.e., the later Wittgenstein and phenomenology.
Research on Design of Children’s Experiential Space in Museum Based on Interaction Concept: Take Perth, Australia as an Example

The “interactive” concept of children’s experience space in domestic museums is superficial, rendering a poor sense of experience for children. Taking the design of the museum children’s experience space in Perth, Australia as an example, studying the concept of interaction and children’s experience can introduce the “behavioral logic” in the interaction process. This paper discusses strategies designing the museum children’s experience space based on the concept of interaction, and proposes methods of interaction between children and space environment, child and digital media, child and child, child and adult interaction to achieve the goal of children’s unconscious awareness in museums.