Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence Applications in Autonomous Vehicles: Training Algorithm for Traffic Signs Recognition

Abstract As the last point of autonomous vehicle development, these vehicles are being evolved by most of the car manufacturing companies, which increases the need for novel image recognition and automation solutions. This paper presents autonomous driving for vehicles at the stage of level 2 (partial Automation; the vehicle can perform steering and acceleration, though the human driver still monitors all tasks and can take control at any time). YOLO (You Only Look Once), is a Python-based image processing algorithm that was used to achieve the goals. This algorithm is extremely useful due to its real-time capabilities. A new data set was gathered using miniature signs, and a Python script was developed to label these newly trained objects. The algorithm draws bounding boxes around the object with object name and the rates of accuracy. The created system performs well, with further plans to improve it, and apply it in a simulated/modelled environment.
High-dimensional neural feature design for layer-wise reduction of training cost

We design a ReLU-based multilayer neural network by mapping the feature vectors to a higher dimensional space in every layer. We design the weight matrices in every layer to ensure a reduction of the training cost as the number of layers increases. Linear projection to the target in the higher dimensional space leads to a lower training cost if a convex cost is minimized. An $\ell_2$-norm convex constraint is used in the minimization to reduce the generalization error and avoid overfitting. The regularization hyperparameters of the network are derived analytically to guarantee a monotonic decrement of the training cost, and therefore, it eliminates the need for cross-validation to find the regularization hyperparameter in each layer. We show that the proposed architecture is norm-preserving and provides an invertible feature vector, and therefore, can be used to reduce the training cost of any other learning method which employs linear projection to estimate the target.
Efektivitas Komunikasi Nonverbal Bahasa Isyarat dalam Pemenuhan Kebutuhan Informasi Siswa SLB Cicendo Bandung

Abstract — Nonverbal communication is a symbol used in communication, which is not language but a sign with members of the body, including the head, eyes, lips, hands and fingers. Sign language is usually a combination of form, orientation and gestures of hands, arms, body and facial expressions to express the contents of the mind, therefore sign language is one of the languages needed by persons with hearing impairements to be able to understand and receive messages. Sign language is influenced by the person’s cultural background and habits. Sign language is a language whose function is very important fot the deaf in accessing information, so that communication can run effectively if the information conveyed can be understood for deaf students. The effectiveness of communication can be said to be effective if the message delivered by the communicator can produce effects of changes. As for the theory used, the SOR theory (stimulus, organism, response) SOR theory as an abbreviation of Stimulus-Organism-Response was originally derived from pshychology that includes components such as attitudes , opinion, behavior, cognition and conation. This research uses quantitative research methods with a descriptive approach. Using data collectiontehniques in the form of questionnaries and interviews, the population in this study were students of SMA Negeri SLB Cicendo Bandung. Sampling using saturated sampling technique. The results of the study were declaredeffective by fulfilling information needs using sign language interpreters. Keywords : Sign Language, Nonverbal Communication, Communication Effectiveness.
Story ARtist: Story Authoring in Augmented Reality

Most of the content creation applications that are currently common in use are regular PC applications with simulated 3D visualisation on a 2D screen and indirect interaction through a mouse and keyboard. Augmented Reality (AR) is a medium that can provide actual 3D visualisation and more hands-on interaction for these applications. This thesis explores how AR can be used for story authoring, a specific type of content creation. Both types of existing AR interfaces, tangible and touch-less were explored and combined in a useful way. The Story ARtist application was developed to evaluate the designed interactions and AR visualisation for story authoring. Its interface combines tangible and touch-less interactions in the form of physical markers and hand tracking input. A tabletop environment is used to visualise the story authoring elements dynamically, using the 3D space that AR provides. Story authoring is kept simple for accessibility, with a plot point structure focused on core story elements like actions, characters and objects. A user study was done with the concept application to evaluate the designed AR interaction and visualisation for story authoring. The results show that AR has considerable potential for story authoring.
Improved Scheme for Reversible Data Hiding for Encrypted Images using Interpolation Technique

Aiming at avoiding the leakage of image contour and that the embedding capacity can be adjusted by the data hider, this paper improves an interpolation-based reversible data hiding scheme in encrypted images (RDH-EI). Before image encryption, we create the embedding space for encrypted image in interpolation-errors of non-sample pixels, using the interpolation techniques. The generated auxiliary data is embedded into the sample pixels with classical difference expansion (DE) technique. Then, a stream cipher is utilized to encrypt sample pixels, and a scrambling encryption is utilized to encrypt interpolation-errors of non-sample pixels to preserve the histogram of interpolation-errors. On the cloud server, the data hider can embed additional data into interpolation-errors with expansion and shifting simply. As a result, an authorized receiver can extract embedding data exactly and recover the original image perfectly, and the two operations are separable. Experimental results also indicate the effectiveness of the proposed method.
Managing A Project Portfolio In An Educational Organization

The article raises the problem of project management in the educational process of a comprehensive school. The paper proposes a temporary organizational structure for managing a portfolio of projects in an educational organization, implemented by teams of teachers focused on solving the problems of strategic development of an educational organization. The paper describes the content of the work, the functions of the entities implementing the project portfolio: the customer of team building - the director of the educational organization, the project portfolio manager, the center of responsibility for the implementation of the project portfolio (project office), the presidents of the clubs directly managing the implementation of the projects, and the teams of teachers implementing projects. In matrix form, a description of the management of the project portfolio by temporary resources, content, and communications is carried out through the establishment of interaction between the subjects of the project activity, expressed in the definition of reporting, its forms, types and frequency of presentation. The content of software, institutional and personal resources providing project portfolio management in an educational organization is disclosed. The paper gives the analysis of the results of experimental work on the implementation of the system of psychological and pedagogical support for the growth of professionalism of a teacher in an educational organization, psychological and pedagogical conditions for the implementation of the system (organization of work of project teams of teachers).
Features Of Manifestation Of Individual Manner In The Preschool Childdrawings

The article is devoted to the important task of education and training of preschool children – namely to the development support of individual drawing manner. The article discusses the features of the manifestation of the individual drawing manner of preschoolers. It is emphasized that the individual drawing manner is a component of the individual style. The phenomenon of stereotyping in children's drawings, which is associated with the development of individual drawing manner, is considered in the article. The study investigated one of the components of the individual drawing manner – the preferred way of depicting the main parts and details of the human image. In order to answer the questions about the features and awareness of preschoolers using preferred ways of drawing, the ascertaining experiment was conducted. There were studied collections of children's drawings depicting people and drawings made by children during special tasks. The study found that individual drawing manner is evident in children's preferred ways to draw the main parts and components of the human, and these methods are steadily repeated by the child in different drawings. Most children do not use stereotypical ways of portraying consciously, and cannot consciously apply another way of portraying. At the same time, these methods differ in children within groups and, accordingly, are the features of their individual drawing manner, which make the drawings recognizable. Study raises new questions. How the children’s preferred drawing ways are formed? What else, in addition to the ways of the drawing, shows the individual drawing manner of preschoolers?
Temperature Control Optimization for Heat Pipe Based on Particle Swarm Optimization

Abstract In order to optimize the parameters of heat pipe temperature control during the thermal vacuum test, the particle swarm optimization (PSO) algorithm is used to tune the PID control parameters. According to the heat response data of heat pipe, the temperature control system model of heat pipe is established. The time integral of the absolute value of the control error is selected as the objective function. The parameters of the particle swarm optimization algorithm are compared with those of the attenuation curve method, and compares the control result based on parameter from PSO and the attenuation curve method. The simulation result shows that the optimization algorithm can accelerate the convergence rate. The setting time of system is cut down from 10h to 3.7h, and the maximum overshoot decreases from 16.7% to 1.4%. The dynamic performance of system is effectively improved.
LSC-North Harris Library Research Guides: Library Online Learning Modules: Welcome

This guide is to serve as a menu of instruction modules to meet the information literacy needs LSC-NH online classes. Each module can be embedded into D2L, and takes 5-10 minutes to complete.
Visual Attack and Defense on Text

Modifying characters of a piece of text to their visual similar ones often ap-pear in spam in order to fool inspection systems and other conditions, which we regard as a kind of adversarial attack to neural models. We pro-pose a way of generating such visual text attack and show that the attacked text are readable by humans but mislead a neural classifier greatly. We ap-ply a vision-based model and adversarial training to defense the attack without losing the ability to understand normal text. Our results also show that visual attack is extremely sophisticated and diverse, more work needs to be done to solve this.
Choice Situations In Educational Activities As Means Of Developing Students Creativity

The article is devoted to the consideration of one aspect of the problem of the development of personality creativity. In it, one of the important pedagogical means of developing the individuality, activity and creativity of students is considered a specially designed in the educational activity choice situation. The methodological basis for the study of the process of development of creativity of students using the educational situation using the choice situation substantiates systematic and personal-activity approaches. The study confirmed the existence of a problematic situation with the students' awareness of their creativity, the desire to develop it and the actual actions for its development. In the course of the study, it was found that for the effective use of the choice situation as means of shaping the creativity of students in educational activities, it is advisable to take into account the pedagogical conditions: 1) saturate the content of the educational process with creative tools that implement the idea of a situation of choice that contributes to the development of personal creative qualities of students; 2) to increase the willingness of teachers to implement this process, stimulating the creativity and development of the reflective position of students; 3) the creation of a creative environment in the educational environment of an educational institution that allows a person to act as a subject of training, which also involves the development of creative personality traits; 4) the use of specially designed software and methodological support for the development of students creativity.
Classification of Mammogram Abnormalities Using Legendre Moments

In this paper, the issue of classifying mammogram abnormalities using images from an mammogram image analysis society (MIAS) database is discussed. We compare a feature extractor based on Legendre moments (LMs) with six other feature extractors. To determine the best feature extractor, the performance of each was compared in terms of classification accuracy rate and extraction time using a [Formula: see text]-nearest neighbors ([Formula: see text]-NN) classifier. This study shows that feature extraction using LMs performed best with an accuracy rate over 84% and requiring relatively little time for feature extraction, on average only 1[Formula: see text]s.
Test tasks Application for Effective Assessment of Student Performance

The article deals with the actual problem of using test tasks to control students' knowledge, practical recommendations for the development of test tasks. The existing model of education focuses students on independence, mobility, and obtaining a competitive profession. The acquisition of the necessary competencies, from school to University, is accompanied by pedagogical training of students, with constant monitoring of training. At all stages of training, tested knowledge control is applied, and it becomes important to correctly compile and apply test tasks as a means of evaluating the quality of students' knowledge.
An efficient algorithm of total variation regularization in the two-dimensional case

Denoising has numerous applications in communications, control, machine learning, and many other fields of engineering and science. Total variation (TV) regularization is a widely used technique for signal and image restoration. There are two types of TV regularization problem: anisotropic TV and isotropic TV. One of the key difficulties in the TV-based image denoising problem is the nonsmoothness of the TV norms. There are known exact solutions methods for 1D TV regularization problem. Strong and Chan derived exact solutions to TV regularization problem for onedimensional case. They obtained the exact solutions when the original noise-free function, noise and the regularization parameter are subject to special constraints. Davies and Kovac considered the problem as non-parametric regression with emphasis on controlling the number of local extrema, and in particular consider the run and taut string methods. Condat proposed a direct fast algorithm for searching the exact solutions to the one-dimensional TV regularization problem for discrete functions. In the 2D case, some methods are used to approximate exact solutions to the TV regularization problem. In this presentation, we propose a new approximation method for 2D TV regularization problem based on the fast exact 1D TV approach. Computer simulation results of are presented to illustrate the performance of the proposed algorithm for the image restoration.
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses

Convolutional Neural Networks have been shown to be vulnerable to adversarial examples, which are known to locate in subspaces close to where normal data lies but are not naturally occurring and of low probability. In this work, we investigate the potential effect defense techniques have on the geometry of the likelihood landscape - likelihood of the input images under the trained model. We first propose a way to visualize the likelihood landscape leveraging an energy-based model interpretation of discriminative classifiers. Then we introduce a measure to quantify the flatness of the likelihood landscape. We observe that a subset of adversarial defense techniques results in a similar effect of flattening the likelihood landscape. We further explore directly regularizing towards a flat landscape for adversarial robustness.
On the Ensemble Transfer Entropy Analysis of Non-Stationary Geophysical Time Series: The Case of Magnetospheric Response

&amp;lt;p&amp;gt;The fundamental question what causes what has always been the motivating motto for natural sciences, being the study of causality a crucial point for characterizing dynamical relationships. In the framework of complex dynamical systems, both linear statistical tools and Granger causality models drastically fail to detect causal relationships between time series, while a powerful model-free statistical framework is offered by the information theory.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we discuss how to deal with the problem of measuring causal information in non-stationary complex systems by considering a local estimation of the information-theoretic functionals via an ensemble-based statistics. Then, its application for investigating the dynamical coupling and relationships between the solar wind and the Earth&amp;amp;#8217;s magnetosphere is also presented.&amp;amp;#160;&amp;lt;/p&amp;gt;
Responsibility For Future Generation As The Basis Of Engineering Ethics

The article is devoted to highlighting the basic ethical challenges of engineering activity in times of globalization and multiculturalism. We insist that Responsibility is the basis of engineering ethics. The core of their ethical education should be their relation to the public and the communication between them. Empathy becomes the necessary component of communication. The ability to talk on behalf of «an ideal communicative community» allows one to be responsible for the Future Generation in the engineering practice. Virtue Ethics and Normative Ethics are both important for ethical education of engineers. However, the existing Codes of Ethics of Engineers do not guarantee the fulfilment of moral demands of society. Moreover, the introduction of Ethical Codes in the educational process of future engineers in a new way reveals the problem of virtue that exists today in ethical education. In the article, the authors seek to determine what should be the foundation of ethical education: virtue ethics or normative ethics. The main aspect here is not the issues of ethical principles and coherence of universal ethical constructions, but the issues of proper professional education of a future engineer, formation of individual traits of their character. Ethics is deemed not a rational understanding of principles, but a virtue of certain mental and motivational predispositions that establish an effective link between explicitly formulated moral rules and real behaviour.
Problems Of Implementation Of Modern Education Technologies

The article discusses the problems of implementing modern educational technologies. A number of issues are identified that make it difficult to implement educational technologies in educational organizations, both in Russia and abroad. A list of various educational technologies used by practitioners is given. It also explains the reasons for the need to implement educational technologies at the present stage. The fact of understanding educational technologies in the broad and narrow sense of the word is ascertained, a generalized understanding of the essence of the term “educational technologies” is given. Presents the results of studies of teachers of four educational organizations of the city of St. Petersburg based on the application of interrogation methods. In particular, the results are given, the analysis of which makes it possible to understand that practical trainers do not distinguish between the concepts of “technologies of upbringing”, “educational technologies”, “upbringing systems”, educational concepts, and do not have clear positions on the application of various types of educational technologies. The article cites certain studies of foreign scientists on pedagogical technologies, where it is noted that in foreign studies there is no clear distinction between the concepts of upbringing technologies and teaching technologies, many issues in education are associated with the use of information and communication technologies. The attention is also focused on the issues of adult education (upbringing) technologies.
Improving Students’ Vocabulary Mastery Using Mind Map

This article focuses on describing the use of Mind Map to increase students’ vocabulary mastery. The objective of this research was to improve students’ vocabulary mastery by applying Mind Map. It was descriptive qualitative research. The method used in this research is Classroom Action Research (CAR) which consists of Planning, Acting, Observing, and Reflecting. This research was managed in two cycles. The participants of this research were first semester students in one of the universities in North Maluku. The instruments used in this research were observation and test. From the data collection, it can be drawn a conclusion that the use of mind map was able to improve students’ vocabulary mastery. After analyzing the data sources, it was found that there was improvement score from the pre-test and post-test. The mean score of pre-test was 54, 91 and the post-test was 83, 43. Thus, it can be concluded that Mind Map is an appropriate method to improve the students’ vocabulary mastery.
Special issue: Engineering Applications of Artificial Intelligence for Industry 4.0

Citation: Guest editor: Cheng Siong Chin. Special issue: Engineering Applications of Artificial Intelligence for Industry 4.0[J]. Mathematical Biosciences and Engineering, 2020, 17(3): 2399-2399. doi: 10.3934/mbe.2020128
Towards transparency-encouraging partial software disclosure to enable trust in data usage

Whenever software components process personal or private data, appropriate data protection mechanisms are mandatory. An essential factor in achieving trust and transparency is not to give preference to a single party but to make it possible to audit the data usage in an unbiased way. The scenario in mind for this contribution contains (i) users bringing in sensitive data they want to be safe, (ii) developers building software-based services whose Intellectual Properties (IPs) they desire to protect, and (iii) platform providers wanting to be trusted and to be able to rely on the developers integrity. The authors see these interests as an insufficiently solved field of tension that can be relaxed by a suitable level of transparently represented software components to give insights without exposing every detail.