Reviewerly/exHarmony huggingface dataset:
Solving the Problem with an Additional Source of Information

Line triangulation already displays important features of a ‘perfect’ single-shot principle but lacks high data density. Hence, current line triangulation sensors, like Flying Triangulation, are far away from being ‘perfect’. The reason is the profound ambiguity problem. The majority of measurement principles (see Chap. 3 ) buys correlation information by sacrificing feature and data resolution or/and temporal resolution.
Asymmetric Deep Cross-modal Hashing

Cross-modal retrieval has attracted increasing attention in recent years. Deep supervised hashing methods have been widely used for cross-modal similarity retrieval on large-scale datasets, because the deep architectures can generate more discriminative feature representations. Traditional hash methods adopt a symmetric way to learn the hash function for both query points and database points. However, those methods take an immense amount of work and time for model training, which is inefficient with the explosive growth of data volume. To solve this issue, an Asymmetric Deep Cross-modal Hashing (ADCH) method is proposed to perform more effective hash learning by simultaneously preserving the semantic similarity and the underlying data structures. More specifically, ADCH treats the query points and database points in an asymmetric way. Furthermore, to provide more similarity information, a detailed definition for cross-modal similarity matrix is also proposed. The training of ADCH takes less time than traditional symmetric deep supervised hashing methods. Extensive experiments on two widely used datasets show that the proposed approach achieves the state-of-the-art performance in cross-modal retrieval.
Weighted Linear Multiple Kernel Learning for Saliency Detection

This paper presents a novel saliency detection method based on weighted linear multiple kernel learning (WLMKL), which is able to adaptively combine different contrast measurements in a supervised manner. Three commonly used bottom-up visual saliency operations are first introduced, including corner-surround contrast (CSC), center-surround contrast (CESC), and global contrast (GC). Then these contrast measures are fed into our WLMKL framework to produce the final saliency map. We show that the assigned weights for each contrast feature maps are always normalized in our WLMKL formulation. In addition, the proposed approach benefits from the advantages of the contribution of each individual contrast operation, and thus produces more robust and accurate saliency maps. The extensive experimental results show the effectiveness of the proposed model, and demonstrate the combination is superior to individual subcomponent.
The Analysis of the Negative Feedback Circuit in the Induction Sensors

In this paper, the analysis method of the step response of the second-order system under different damping is applied to the feedback circuit analysis in the sensors. It analyzes the influence of different feedback resistors and mutual inductances on the system stability and pass band, which provides a theoretical basis for the matching of feedback resistors and mutual inductances in the circuit. It is of great significance to improve the performance of the sensor. when the parameters of the induction sensor are determined, the system performance can be more stable by designing appropriate mutual inductance and feedback resistance to make the damping ratio close to 0.8. Finally, we designed the feedback resistor Rf = 400 Ω, and the mutual inductance M = 1 to make sure damping ratio ζ be around 0.8 in the selected sensors.
PROCESSING A BIG DATA SET USING A “SMART” TABLE

The use of information technologies in professional activities for most people is an objective necessity. The task of an informatics teacher is to create conditions for students to master various technologies of creation and transformation of information objects, including the use of Microsoft Excel. The article proposes a project of the lesson on the theme “Processing a big data set using a “smart” table” according the system activity approach.
Improving Visual Quality for Share Images

In this chapter, we focus on improving visual quality for extended VC, i.e., VC with meaningful shares. First, we discuss the case with binary secret images and cover images. Then we extend it to halftone cover images, in order to produce share images with better visual quality based on error diffusion. Finally, we extend the design to include a hidden watermark that can serve the authentication purpose.
Image Caption Generation Using Hint-words

画像キャプション生成技術により，画像の内容を説明する文を自動的に生成することが可能となった．この技術は近年注目を集めている．しかし，この技術には未だに多くの課題が残っている．本研究では，画像に関連する重要かつ有益な単語(ヒントワード) を活用し，高品質な画像キャプションを生成する手法を提案する．また，提案された画像キャプション生成手法の有用性を検証するために，有益なヒントワードを選択するためのいくつかの方法を提案し，ベンチマークデータセットで一連の実験を行う．実験結果は次のことを証明している．(1) 提案されたアプローチはより情報量豊富な画像キャプションを生成可能であり，ベースライン手法より性能が優れている．(2) ヒントワードの数と品詞情報はヒントワードを選択するための重要な指標である．
Objects Geometry Comparative Analysis Method for Industrial Robot Vision System

At present, in computer vision systems, neural networks are used to process information received by the system from cameras. The recognition of all objects on the image is an extremely resource-intensive task, the solution of which consumes most of the computing power. For that reason, systems based on neural networks cannot be fully utilized for real-time systems due to limited computing resources. To build real-time computer vision systems, the authors suggested using the contour comparison method. The method allows to supervise the geometry of objects, conduct presorting and screen out defective parts, thereby the pressure on neural networks will reduce. The method is implemented in the Java. The created software performs image processing and objects search on it, that are the most similar to the template. The results of the experiment showed that the desired object is correctly determined on a noisy image and the proposed method can be used to solve the problem of pattern recognition in technical vision systems.
Networks of Competences of Subjects of the Local Food Market in the Conditions of Formation of Digital Economy

The network research of the local food markets participants is based on author’s methodology. At the same time, the methodology is considered generally as the form of knowledge and self-knowledge provided by three expressed aspects: world outlook, cognitive, technological. In general the methodology represents the multi-level system of receipt of converting and statement of knowledge about any object. Notice that it is about methodology of a specific research, but not about methodology as the area of knowledge which study means, prerequisites and the principles of the organization of cognitive and practical and reformative activity. In article, allowing equivalence of methodology and a method and considering that the methodology represents a peculiar method which establishes the relation between the theory and practice, we will consider author’s understanding of management of network development of participants of the local food markets, believing that the world outlook part of methodology (which is in focus of our attention) isn’t subject to the strict proof, only argumentations of an author’s line item. The world outlook aspect influences statement of a research problem and interpretation of results. World outlook aspects of methodology are dualistic as they represent unity objective and subjective. We suggest to understand set of the methods allowing to synthesize theoretical views on a problem of management of network development as a method of regulation and activization of opportunities, resources and knowledge of the subjects of the local food market showing interest in development of regional economy and showing responsible behavior taking into account the situation determined from a line item “role status” as world outlook aspect of methodology of the considered area of a research. The approaches created during formation and development of the classical economic theory, the neoinstitutional economic theory, network theories and digital economy became theoretical basis of a research namely: system, resource, institutional, network, evolutionary, behavioural approaches. Research methods: cognitive modeling, method of analogies, abstract and logical method, system approach.
Modeling an Optimal Control Problem for the Navigation of Mobile Robots in an Ocduded Environment Application to Unmanned Aerial Vehicles

An optimal control problem of two Unmanned autonomous Vehicles to follow the trajectory and avoid the collision between them. The aim is to minimize energy, the distance between state and desired, and maximize the distance between the two drones. For this study, we used midpoint such discretization method, the simulation results ar given by Bocop software.
Construction and Parallel Implementation of Homomorphic Arithmetic Unit Based on NuFHE

The existing homomorphic operator is not efficient and flexible, two parallel multi-bit homomorphic operators are designed for this problem in this paper. Firstly, the homomorphic 1-bit adders and 1-bit comparators are implemented based on CGGI scheme. Secondly, using the parallel technology, based on the GPU hardware, a homomorphic adder and comparator that can calculate an arbitrary bit length are implemented. Finally, the nuFHE homomorphic algorithm library is called to program the homomorphic adder and comparator. The results of experiment show that the parallel homomorphic adder and comparator improve the efficiency and flexibility of homomorphic operations and can meet the needs of some scenarios.
New Solutions for Systematic Problems Involving Complexity through Program MATLAB Based on Indeterminism for Non-Physicists

Modern science has solved the systematic dynamic problems involving complexity such as complex systems by logical solution algebraically such as the old chaos theory derived from algebraic statistics based on determinism.It is very vague and difficult for us.Moreover, modern science treats systems dynamic problems as logical static problems according to determinism.However, this study proposes a novel solution for systematic problems, it is accomplished by systems analysis theory based on a third science (indeterminism) as it is more precise and easier to understand compared to chaos theory.Furthermore, it is suitable for non-physicists, because it is supported by computer simulations without any mathematical processing.Thus, it can be solved especially regressive systems solution.Therefore, this provided an innovative scientific result to non-physicists for their unsolved systematic problems in modern science.
Take Control : (On the Unreasonable Effectiveness of Software Analytics)

The goal of software analytics should be insight; i.e. surprises that make us change the way we do business (in our case, the business of software construction, maintenance and evolution). So what insights have we learned from software analytics? Our field is rife with any number of truisms that are commonly quoted but rarely checked. That stops now. Using software analytics, we can check, and prune, many of those truisms. Specifically, the number of variables required to make predictions about SE projects is remarkably small-which means that (a) most of the things we think might affect software quality have little impact in practice; (b) controlling just a few key variables can be enough to improve software quality.
TRADITIONAL AND INNOVATIVE APPROACHES TO STUDENTS OF UKRAINIAN LANGUAGE BY COLLEGE STUDENTS

Nowadays, the ongoing changes in the Ukrainian education are aimed towards the development of an intelligent person, capable to social adaptation and representation by means of language. It is emphasized by the National Doctrine of the Development of Education in Ukraine, the State Standard of Basic and Complete Education and, of course, by the school programs. Updating the content of the course “Ukrainian language”, increasing attention to the study of the state language in higher educational establishments, practical orientation in the language teaching as a compulsory discipline, as well as the definition of tasks for the formation of professional competences of future specialists by means of speech, contribute to the improvement of forms, methods, learning technologies. The analysis of traditional and innovative approaches to the study of the Ukrainian language is the subject of the study of many domestic and foreign pedagogues, methodologists, psychologists (Holub N.V., Lyubashenko O.V., Pionova R.S., Symonenko T.V., Surmin Yu. P., etc). The article deals with the traditional and innovative approaches to the study of Ukrainian language. Special teaching techniques of the process of Ukrainian language studying for schoolchildren have been submitted as well. In this paper we prove the principles of specificity, openness and clarity. The lessons are always focused and are aimed for achieving of some definite goals. The main thing at the lesson is the organization of students’ work as well as the ability to interest and attract them to perform various types of activities, so we are constantly in search for the new methods and techniques of training and education. Creating conditions for the development and self-realization of each individual as a citizen of Ukraine as well as the formation of generations capable of learning throughout life, will gradually facilitate the quality of the training and educational process simultaneously with overall functioning of the higher educational establishment
Multi-objective Optimization Algorithms

In the LSIES, multiple benefits of different operating interests are taken into consideration. Hence, the planning and operation of LSIES are formulated as multi-objective optimization problems, which should be tackled using the multi-objective optimization algorithms. This chapter presents three multi-objective optimization algorithms, i.e., the multi-objective group search optimizer with adaptive covariance and Lévy flights (MGSO-ACL), multi-objective group search optimizer with adaptive covariance and chaotic search (MGSOACC), and multi-objective evolutionary predator and prey strategy (EPPS). Simulation studies conducted on benchmark functions are also carried out to investigate the performance of these algorithms. In later chapters, these algorithms are employed to deal with the planning and operating problems of LSIES.
A block based secret sharing scheme using Hilbert matrix and RSA

Due to the impact of network technology, all information are transmitted in digital mode and the security of information is ever more important. In order to ensure the secret messages are not been stolen when transmitting, it will be a good countermeasure to encrypt the secret message before transmitting. The level of security of information is based on the number of participants. Security is definite when a single person is involved. In the scenario, if many people are involved, security may be ensured if secrets are kept in. This lead the direction for researchers to develop new cryptographic scheme in the past two decades. This paper proposes techniques for transmission of secret messages between two parties and also sharing of messages between multiple parties. These methods uses well known public key cryptography algorithm RSA and Hilbert matrix for authentication and encryption. The proposed method overcome the issues addressed by the existing scheme and ensures secure transmission of text messages with less computational Complexity and no additional code book. The proposed (N, N) Secret sharing Scheme also reduces the overhead of generation of keys for each pair of parties.
Fast transmission of image, reduction of energy consumption and lifetime extension in wireless cameras networks

In this paper, a fast image processing was proposed.It ensures energy efficiency and the extension of both the lifetime and the proper functioning of the network.It is a filtered zonal discrete cosine transform that allows and optimizes an effective adjustment of the trade-off between power consumption and image distortion.This is a remarkable energy saving method, in this kind of networks.It is applied throughout the chain of transmission and decompression of the image.It makes it possible to integrate a fast and a filtered zonal discrete cosine transform.This proposal dramatically improves the indicated method.The insertion of the frequency filters in this chain has greatly reduced the coefficients to be calculated and to be coded in each block.This new method ensures the fast transfer of images, decreases more the energy consumption of sensors and maintains a long network lifetime.This proposal seems to us very satisfactory as shown by the experimental results provided here.
Optimization Method for Controller Parameters Using Support Vector Machine

In actual industrial processes, it is difficult to optimize parameters for a control system because of its perturbations. As a result, the performance of the control system may depend on a designer experience. To solve this problem, we have proposed a method to optimize the controller parameters with support vector machine. With the proposed method, we can obtain a robust controller without the need for designer's rich experience. Experimental results show that the proposed method enables us to design parameters for a robust controller in a two-wheeled inverted pendulum.
Analysis of the amplitude on optical axis at the incidence of the conical wave on an astigmatic lens

In this article we have considered the situation when a conical wave illuminates an astigmatic lens. Since the task to be solved is to estimate the degree of astigmatism, it is not necessary to determine the total amplitude distribution, it is sufficient to obtain an analytical expression for the field amplitude on the optical axis. On its basis, the boundaries of the shadow region, the number of zeros of intensity and their positions are calculated. The astigmatic coefficient was calculated based on the positions of zeros were found in numerical modeling. The obtained value is quite consistent with the given a priori, which proves the practical applicability of the proposed method.
An Approach Towards Design and Analysis of a Non Contiguous Block Cipher Based Cryptographic System Using Modular Arithmetic Technique (NCBMAT)

In this article a new Cryptographic System based on Modular Arithmetic using block ciphers has been considered. The original data which is a stream of bits, is assumed to be divided into a number of blocks & each block contains m bits, where m is anyone of (3, 9, 27, 81, 243). The technique is based on the concept of data redundancy. A Number of redundant zeros will be appended at the MSB of bit stream to make total number of bits odd in each block. The binary addition has been made between first and the ultimate block taking modulus of addition as 2m. The sum replaces the content of ultimate block, first block remains unaltered to get the cipher text. In the next step the binary addition has been made between the ultimate block and the second block and the result replaces the second block. The technique proposed here involves operations on non-contiguous blocks (unless only two blocks are left which are adjacent to one another). In any two consecutive operations, one block is common, which makes the encryption unpredictable and thereby enhances security. The carry generated (if any) out of the MSB is discarded. The technique is applied on blocks with varying sizes from 3 to 3n. The modulo subtraction technique is adopted for decryption to get back the plain text.
The Aspect Calculus

For theorem proving applications, the aspect calculus for reasoning about states and actions has some advantages over existing situation calculus formalisms, and also provides an application domain and a source of problems for first-order theorem provers. The aspect calculus provides a representation for reasoning about states and actions that is suited to modular domains. An aspect names a portion of a state, that is, a substate, such as a room in a building or a city in a country. Aspects may have aspects of their own. A state is assumed to be either a leaf state that cannot be further decomposed, or to be composed of substates, and actions associated with one substate do not influence other, disjoint substates. This feature can reduce the number of frame axioms that are needed if the domain has a modular structure. It can also permit planning problems on independent substates to be solved independently to some degree. However, interactions between independent substates are also permitted.
Register, Source Language, and Cognateness Effects on Lexical Choice in Translated Dutch

In line with recent studies about register and source language effects on translated language (Delaere, De Sutter, et al. 2012; De Sutter, Delaere, et al. 2012; Kruger and Van Rooy 2012; Delaere and De Sutter 2017), the aim of this paper is twofold: to further investigate the influence of register and source language, and to study any potential influence of the variable “cognateness” on translated language. We focus on specific onomasiological choices (lexical choices) in the semantic field of inchoativity, made by translators into Dutch and attested in corpus observations (Dutch translated texts in the Dutch Parallel Corpus). First, we performed a multinomial regression analysis on our dataset and carried out an Analysis of Deviance to determine whether the predictor variables “source language lexeme” and “register” (“text type”) have a significant influence on the response variable (the set of lexemes representing the onomasiological choice range in translated Dutch inchoativity). Doing a second multinomial regression analysis, followed by an Analysis of Deviance, we investigate the influence of the new variable “cognateness” on the translator’s onomasiological choice (in the target language). Classification trees were generated as statistics-based visualizations of onomasiological choice in translated Dutch (translated from French and translated from English) within the semantic field of inchoativity. The results of the statistical analyses show that register, source language, and cognateness significantly influence the specific lexical choices made by translators. In addition, the visualizations show how the onomasiological choice for some target lexemes can be predicted on the basis of a single source language lexeme, while other choices are more complex, and will also be determined by the register of the text.
An Analysis of a New Detection Method for Spear Phishing Attack

A new method to detect credential spear phishing attack for the network is introduced in the conference of 26th USENIX Security Symposium. First, on the basis of the researching for the processes and the principles of spear phishing attack, and the overall structure of its detector, the Directed Anomaly Scoring technology is analyzed in the paper. Second, the selections of scalars in subdetectors are defined. Third, the spear phishing attack detection method of detector and the methods of traditional detection are compared and analyzed. And then, the obvious advantages of the detector are discussed. The prospection of the spear phishing attack detection development is also given at the end of the paper.