Reviewerly/exHarmony huggingface dataset:
A Study on the Development of Smart Factory Equipment Engineering System and Effects

The Smart Factory Equipment Engineering System collects and monitors necessary information in real-time. While putting the product into the equipment, operation conditions are lowered through a Recipe Management System. The working conditions are set by Run-to-Run a system for real-time detection and control through Fault Detection Classification function. In this study, the smart factory equipment system associated with the entire system is proposed by defining and integrating the necessary equipment management functions from a smart factory’s point of view. To do this, detailed analysis and process improvement on products, processes, and production line equipment were conducted and implemented in the smart factory equipment engineering system. The models proposed in this paper have been implemented to the production site of BGA-PCB. It has been confirmed that the models have resulted in significant change, and have qualitative and quantitative impacts on the working methods of equipment. Typically, data collection time, data entry time, and manual writing sheets were greatly reduced.
Advances in Ultrasound Despeckling

The B-mode ultrasound images are corrupted due to the presence of speckle noise. Hence, the speckle removal in the ultrasound images is essential for proper clinical examination and quantitative assessments. The speckle pattern varies with several imaging parameters as well as the anatomical structure in the image. It is hard to avoid speckle by performing averaging and low noise system designs. An excessive speckle reduction diminishes the visibility of small anatomical structures and thereby makes the image understanding complicated. This chapter is intended to encapsulate various techniques for reducing speckle in medical ultrasound images and improving the image quality for visual inspection and/or computer-assisted diagnosis of ultrasound images. In addition, the chapter surveys the papers published between 2015 and 2018 to highlight the latest trends in the despeckling of ultrasound images. The chapter also presents the performance comparison of a few popular algorithms to despeckle medical ultrasound images.
Motivational and Communicative Readiness to Teach College Students

This article analyses motivational and communicational readiness of students in the system of vocational secondary education. Motivational and communicational readiness are major features that determine student performance. Studying these characteristics will allow to reveal weaknesses in career guidance programs conducted by institutions of vocational education, and to single out students that are in need of individual assistance.
Sketch Design of Information System for Personnel Management of Large State Corporation in the Field of Control Engineering

The need to create an information system for proactive personnel management is particularly acute for many state corporations. The strategy of such management consists, first of all, in not only finding the necessary specialists in due time as the need arises for them, but also in anticipation of these needs. In particular, it is necessary to have a reliable idea of what personnel are trained in the country, what competencies they possess. This analysis by profession and level of preparation should also be obtained with reference to the geography of university graduates, since it is unlikely that a significant part of graduates are ready to change their place of residence without sufficiently weighty motives. The paper analyzes the main tasks of creating such a system and the possibility of using Federal state educational standards for such a search, as well as for actively influencing the process of preparing students. Such influence can be carried out by opening new training profiles, as well as by creating individual educational trajectories through the use of network-based form of education. The paper also contains terminology, discusses the basic background information for creating a preliminary technical project for a pilot version of the system.
Dominating Laplacian Energy in Products of Intuitionistic Fuzzy Graphs

The Laplacian energy of an intuitionistic fuzzy graph concept is extended to dominating Laplacian energy in various products of intuitionistic fuzzy graph. In this paper, we have obtained the value of dominating Laplacian energy in two products such as Cartesian product and tensor product. Also we study the relation between the dominating Laplacian energy in the products in two intuitionistic fuzzy graphs.
Multiple Hypothesis Testing

Tracking is the process of determining the position of other objects as their position changes with time. Air traffic control radar systems are used to track aircraft. Aircraft in flight must track all nearby objects to avoid collisions and to determine if they are threats. Automobiles with radar cruise control use their radar to track cars in front of them so that the car can maintain safe spacing and avoid a collision.
Evaluation of real-time object detection model based on small targets

In recent years, with the applications of object detection increasingly extensive, the approaches based on Deep Learning have achieved state-of-the-art performance on challenging datasets. Some researchers have made demands on real-time performance while paying attention to the accuracy of the model. In addition, with the rapid development of the object detection model, the detection of small targets has attracted extensive attention. Although several evaluations of the models have been conducted, we have conducted a more detailed evaluation of the small targets real-time detection. In this work, we carried out an in-depth evaluation of the latest real-time object detection model. We evaluate three state-of-the- art models including Single Shot MultiBox Detector (SSD), You Only Look Once version 2 (YOLO v2), and You Only Look Once version 3 (YOLO v3) with related trade-off factors i.e. accuracy, execution time and resource usage. Experiments were conducted on benchmark datasets and a newly generated dataset for small object detection. All analyses and findings are then presented.
Design and Implementation of a Reactive Navigation System for a Smart Robot Using Udoo Quad

This chapter describes a process of design and implementation of a reactive navigation system for a smart mobile robot. Equipped with a webcam and distance sensors, the autonomous robot will explore an arena to locate a number of sites in a limited time all while avoiding the arena boundary and any obstacles it might encounter. A fuzzy behavior-based control scheme with adaptive membership functions has been taken as a proposed reactive navigation system. The tests of the proposed method were performed in a real robot using a UDOO Quad board, which is a single-board computer equipped with two CPU, and experiments demonstrated that this embedded system was able to successfully complete the autonomous navigation task in a real arena.
Security Improvement of Common-Key Cryptographic Communication by Mixture of Fake Plain-Texts

One of the fundamental methods for eavesdroppers to achieve a plaintext from a cryptogram is the brute force attack where possible candidates of decryption keys are exhaustively applied to the decryption algorithm. Here the only reason why the eavesdroppers believe to find the common-key and to achieve the plaintext is that the output of the decryption algorithm is contextually acceptable. According to this fact, this paper proposes a novel common-key cryptosystem where fake plaintexts which are also contextually acceptable are mixed into a cryptogram with the legal plaintext. If an eavesdropper applies a fake common-key to the decryption algorithm, it outputs the fake plaintexts which the eavesdroppers might believe legal. This paper also proposes concrete encryption/decryption algorithm which can be combined with any conventional common-key cryptosystem. Results of simulation experiments show the proposed method reduces probability for eavesdroppers to get legal plaintexts.
Technology Entrepreneurship in the Concept of Development of the Innovative System of a Technical University

Issues of scientific and technological development of economy determine the need for changes to the management system in the organizations of scientific and educational services, including higher education. Scientific, technical, educational, and innovative activities of technical universities are designed to promote the development of students' technological entrepreneurship. The chapter examines different (institutional, mental, interuniversity, etc.) student entrepreneurship development barriers. It identifies the key stakeholders (their role and motivation), in accordance with the levels of their involvement in the process of promotion of entrepreneurship in the university environment. It presents the approaches to the formation of a system of stimulation and a complex of activities, which are held at the platform of the technical university.
Geochronological and Geochemical Constraints on the Galinge Skarn Deposit

Galinge, the largest iron (Fe) polymetallic skarn deposit in the Qinghai province (NW China), is located in the Qiman Tagh metallogenic belt. At Galinge, post-collisional calc-alkaline metaluminous intrusions, including granodiorite, diorite and diorite porphyry dikes were emplaced into the Cambrian to Ordovician Qiman Tagh strata. Zircon U-Pb dating for granitic rocks yielded ca. 229 ‒ 217 Ma. Phlogopite coexisting with disseminated magnetite was dated to be 234.2 ± 3.5 Ma by Ar-Ar technique, indicating a close temporal magmatic-metallogenic relationship. Geochemically, the Qiman Tagh granodiorite is enriched in light earth element (LREE) with moderately negative Eu anomalies. Such geochemical data and zircon Hf isotopic data suggest that the studied granodiorite might be generated by low-degree partial melting of the amphibolite-facies metamorphosed rocks, whereas the Galinge diorite and diorite porphyry dykes were probably generated by higher degree of partial melting of the residual materials after granodioritic magma. We propose that the Galinge granitic magmatism and skarn Fe mineralization were formed under Late Triassic post-collisional extension after the closure of the Paleo-Tethys.
Correction of Predictive Power for Photovoltaic Plant based on Meteorological and Geographical Correlations

A abnormal data repairing method based on adjacent power plant and integrated similar days of BP neural network is presented. Some factors influencing power generation such as geographical position, temperature and day type are considered. By means of selecting adjacent power plants with high power correlation to plant to be repaired by Pearson product-moment correlation coefficient and the combination of Grey Relational Analysis and curve similarity is used to select similar days. Finding out the integrated similar days' data of the adjacent power plant that is in conformity with the day to be repaired, corresponding BP neural network model is built, then the diverse learning speed algorithm are employed to repair abnormal data. The actual abnormal data in PV prediction power repairing results for Qinghai district show that the proposed method possesses better repairing accuracy.
A Novel Combination Method for Image Restoration Based on Bootstrap Filter and DWT

In our paper, we propose a novel combination of two methods based on the bootstrap filter. We will use the fusion technique to combine the restored images from the bootstrap multivariate kernel density filter and the bootstrap kernel-diffeomorphism filter. Experimental results have shown that our method has proved the image restoration results.
The book studies has been driven from the dead-lock, finally! On publication of the monograph by Elena Deaner «The electronic book as a bibliological category»

The monograph by E. Deaner «The electronic book as a bibliological object» [«Elektronnaya kniga kak kategoriya knigovedeniya», 2017, in Russian] is analyzed. The monograph logically extends the previous book by the same author published in 2016, namely “Theoretical and methodological foundations of digital books as a bibliological category” [«Teoretikometodologicheskiye osnovy elektronnoy knigi kak kategorii knigovedeniya», in Russian]. The monograph is seen as a radical breakthrough in the modern Russian bibliology, as it tends to reconcile the traditional bibliology and new information technologies on which e-publishing and book distribution are based today. The author demonstrates that digital books completely matches the theoretical and practical provisions of bibliology and documentology being specific type of the document rather than a specific genre. The digital books can be blended seamlessly into the book culture phenomenon, to enrich it with a radically new and innovative object. The high appraisal is given to the methodological approaches toward defining the concept of the digital book and its representation within the book communication system. The principle of the digital book ergonomics is examined in detail and is positively appraised, as well as the principle main factors, i.e.: the material, semantic, signatury, syntactic, pragmatic and temporal elements. The monograph content would enable to liven up the academic courses in bibliology and documentology. The librarians in collection development and digital collection development and bibliographers will make the readership of the monograph.
Mathematical Modeling and Workspace Analysis for Photographic Robot

The four-link manipulator can realize the characteristics of various motion trajectories to achieve multi-angle, precise positioning and high-quality shooting operations. A new method is proposed to determine the membership degree of the photographic robot workspace. In this paper, we use the DH digital modeling method to establish the positive kinematics model of the photographic robot and solve the kinematics positive solution of photographic robot. We also utilize the numerical analysis method to analyze the working space of the angle between the robot manipulator and guide rail, which will obtain the workspace, boundary point coordinates and geometry to measure and divide membership of a complex workspace into several simple working subspaces, and then get the decision conditions of the comprehensive workspace. Finally, the simulations are performed using MATLAB for verification. The working space of the photographic robot is determined, and the limit range of the robot operation is obtained.
Cycle GAN-Based Attack on Recaptured Images to Fool both Human and Machine

Recapture can be used to hide the traces left by some operations such as JPEG compression, copy-move, etc. However, various detectors have been proposed to detect recaptured images. To counter these techniques, in this paper, we propose a method that can translate recaptured images to fake “original images” to fool both human and machines. Our method is proposed based on Cycle-GAN which is a classic framework for image translation. To obtain better results, two improvements are proposed: (1) Considering that the difference between original and recaptured images focuses on the part of high frequency, high pass filter are used in the generator and discriminator to improve the performance. (2) In order to guarantee that the images content is not changed too much, a penalty term is added on the loss function which is the L1 norm of the difference between images before and after translation. Experimental results show that the proposed method can not only eliminate traces left by recapturing in visual effect but also change the statistical characteristics effectively.
Exhaustive Analysis of Image Enhancement Using Point-to-Point Transformation

Image can be processed via variety of transformation techniques. Transformations of signals not only extract useful information from any real signal but also process it as per demanding application. Image transformation can be histogram equalization, discrete wavelet transform, morphology or point transformation. Point transformation just improves visual appearance of an image without fetching any new information. It is just required for detection or extraction of some information as per demanding application. Point transformation can be point-to-point transformation, local-to-point transformation, or global-to-point transformation. Transformation technique can be chosen based on complexity of transformation technique. The aim of this paper is to discuss point-to-point transformation technique which is advantageous in terms of constant complexity compared to local to point and global-to-point techniques as it is calculated per pixel and it is point to point. Different types of image enhancement techniques such as image negative, separation of image into RGB parts, gamma correction and log transformation are implemented using MATLAB.
Experience Evaluation in Virtual Environments on Using an Accessible Prototype

This chapter presents the experience evaluation process of the virtual learning environment prototype MooBi accessible to deaf people. In the evaluation elaboration, the authors use the “technology as an experience framework” model of McCarthy and Wright because it approaches the sensorial, emotional, compositional, and space-time aspects. They believe that this model can provide elements for intervention in order to improve the students' experience. The authors applied the evaluation to a postgraduate listener student community from two classes to evaluate the use of MooBi as a support platform for studying. In the evaluation result, they found both positive experience attributes and unwanted experience attributes related to usability and instructional design. The authors noticed that the evaluation can be applied to other contexts since it provides a multidisciplinary view.
Design and analysis of intelligent handing robot

The main purpose of this study is to make a kind of intelligent robot which can acquire the tasks (handing objects with different shapes and different colors) from QR codes and fulfil it. In the whole process, in order to fulfill the task, we place multiple photoelectric tubes. After a plurality of ADC acquisition data channels are configured on the STM 32 board and the photocell is connected with the single chip microcomputer, we can get the values of different ADC’s on the track by photoelectric pair tubes. We use a camera module to in order to identify QR codes. According to different requirements at the same time, we use DC motors with encodes as power for wheels and use a mechanical arm with steering gears to grab objects. At the same time, we have compiled a universal algorithm to plan the robot’s walking routes to fulfill the task.
Generate a Meta-Model Content for Communication Space of Learning Management System Compatible with IMS-LD

The context of this work is that of designing an IMS-LD meta-model for communication space of a Learning Management System (LMS). Our approach is to first think about the conditions for creating a real IMS-LD meta-model for communication space between learners, and designing the IT environment that supports this space. In this paper, we try to adapt the IMS-LD model with a communication meta-model for Learning Management System based on the social constructivism. This adaptation will go through three stages. Firstly, the development of a communication meta-model of LMS. Secondly, the study of correspondence between the developed meta-model and IMS-LD model. Finally, their transformation to IMS-LD meta-model.
Point-CounterpointConsiderations in computing accreditation

research-article Share on Point-CounterpointConsiderations in computing accreditation Authors: Andrew Phillips US Naval Academy US Naval AcademyView Profile , Kenneth Martin University of North Florida University of North FloridaView Profile , John Impagliazzo Hofstra University Hofstra UniversityView Profile Authors Info & Claims ACM InroadsVolume 10Issue 1March 2019 pp 14–20https://doi.org/10.1145/3293872Published:08 February 2019Publication History 1citation421DownloadsMetricsTotal Citations1Total Downloads421Last 12 Months8Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Development of Digital Game Environments Stimulating Creativity in Engineering Education

Teaching for creativity is one of the most challenging problems in engineering education. Two approaches are mostly applied in teaching creative skills: using creative problem-solving exercises and emerging people into a creative environment for stimulating their creativity. One of the most important requirements to creative digital environment is creativity of its non-player characters (NPC). The chapter discusses the advantages of applying a multi-agent (MA) approach to achieve creative behavior of the NPCs. The agent architecture is based on a behavior tree model, extended with three additional classes of nodes, implementing agent reactions and adaptive action planning according to agent priorities. The proposed agent architecture is implemented in a typical survival action game where all players, represented as agents, should explore the world to find resources. The assessment of the quality of agents' behavior shows that all the agents successfully demonstrate rational and adaptive behavior in the complex dynamical environment.
Vehicle detection system using soft channel cascade for resource-limited platforms

The trade-off between accuracy and computational cost is a central aspect of the problem of real-time vehicle detection, especially for resource-limited platforms. We propose a vehicle-detection method based on template aggregate channel features (TACFs) and soft channel cascade to address the computational requirements of a monocular rearview vehicle detection system. The TACFs is a system of template features designed based on the original aggregate channel features, which is aimed at fully describing the characteristics of the vehicle’s appearance. The proposed soft channel cascade is a pipeline of multiple single-channel classifiers and a full-channel classifier, in which the single-channel classifiers are used to quickly filter the background window and reduce the area of the region of interest, and the full-channel classifier is used to verify the candidate window to improve the detection precision. The proposed method is evaluated on three different datasets with a variety of scenarios involving dense traffic, poor lighting, bad weather conditions, and partial occlusion. Detailed evaluations show that the proposed method enables high-precision detection and high recall rate, and performs better than the existing state-of-the-art vehicle detection methods. In addition, the soft channel cascade can rapidly reject most windows that do not contain any vehicles and enables real-time detection.
Study of the interaction between roof bolting of the output and a breed array inclined to creep

The basic equations of the theory of linear hereditary creep are considered. An algorithm for determining the value of the anchor tension as a result of deformation of rocks in the bottom-hole zone of the barrel is presented. The area of the scope of roof bolting trunks in various breeds is defined.