Reviewerly/exHarmony huggingface dataset:
A torsional axis measurement method based on the adaptive window shape DIC

Torsion test is one of the most basic tests in material mechanics, which can reflect the static and dynamic properties of materials. Torsional deformation measurement, as a key technology in torsion test, has received more and more attention in the field of mechanical engineering. Although there have been many measurement methods for measuring torsional deformation, these methods suffer from various disadvantages. To realize the torsion measurement of large torsional deformation, this paper proposes a torsion measurement method based on the Digital Image Correlation (DIC) method, which has the advantages of full-field, large-scale, and non-contact measurement. First, to solve the de-correlation problem caused by large torsional deformation, this paper proposed an adaptive window shape based DIC method, which adaptively changes the window shape with the torsion of the specimen to ensure the correlation between the reference and deformed sub-region at a high level. Second, the monocular camera was used to photograph the specimen from six directions to obtain six reference images, and the reverse matching method was used to overcome the problem of tracking points moving out of the camera's field of view. Experiment shows that, the adaptive window shape based monocular DIC method can effectively measure the large torsional deformation.
Storage Problems of Library Collections

The purpose of this work is to generalize the experience and reveal the main storage problems of the libraries’ collections in Ukraine.&#x0D; The methodology of the study includes methods of generalization and analysis of the sources.&#x0D; The results. It was demonstrated that the storage problem of library collections, both traditional and non-traditional, is relevant, since all documents, when saved and used, eventually become unsuitable for further use. The damage to documents can be caused by: chemical instability of materials, poor environmental conditions, poor preservation, unsatisfactory handling of documents, emergencies, vandalism. It was demonstrated that both traditional and new methods are used to reduce the effect of these causes, among which the use of new materials, non-damaging fire extinguishing systems and document digitization technologies are highlighted. However, traditionally insufficient funding limits the implementation of these methods.&#x0D; The scientific novelty. An attempt was made to generalize the experience and reveal the main storage problems of the library collections in Ukraine.&#x0D; The practical significance. The study’s results contribute to a more accurate understanding of the main problems associated with storing library collections and can be used in teaching courses on this topic.
From fringe phases or from pixel shifts: a comparative study of depth-measuring modes in fringe projection profilometry

In fringe projection profilometry, by taking the projector as a camera, depth measurement has the similar principle with binocular vision. The matching of feature points carrying depth information plays an important role in measurement. Due to the existence of difficultly-corrected projector errors, the measurement results of using a fixed point in camera corresponding to the points in the projector or of conversely using a fixed point in projector corresponding to the points in the camera is not exactly same. According to fringe projection system, a function representing the relationship between the depths and the corresponding fringe phases is introduced for measurement. This traditional method usually requires three or more known reference planes to calibrate parameters determined by the measurement system. However, another way is also feasible. Based on the measurement system, a generic function representing the relationship between the depths and the corresponding pixel shifts are also presented in this paper. Using these two functions allows us to recover the depth information of the object. Theoretical analyses are carried out to investigate the performances of these two methods. Comparative experiments are implemented, and their results demonstrate that the depth measurement method from pixel shifts is immune to the influence of high order harmonics as a little expense of efficiency, being better than the method from fringe phases having high measurement efficiency regardless of the low accuracy.
Three-channel micro-polarization array simultaneous phase-shifted interferometry method

Polarization cameras integrated with conventional four-channel Micro-Polarization Arrays (MPA) are usually used as phase shift devices in focal plane-type interferometric systems to achieve simultaneous phase shifts. However, such phase shift devices suffer from low sampling rates and a lack of mature resolution reconstruction techniques to resolve pixel-level alignment errors. To solve such problems and further improve the phase reconstruction accuracy of the focal plane interferometric system, this paper proposes to apply the "Bayer-like" three-channel MPA to the interferometric system to realize the simultaneous phase shift. The arrangement of the three-channel MPA can reduce the processing complexity of the element and improve the inter-channel sampling rate. In addition, this structure can better utilize the resolution reconstruction idea of Color Filter Array (CFA) to solve the inherent pixel-level alignment error problem between simultaneous phase shift interferograms. Taking lateral shearing interferometry as an example, the process of acquiring simultaneous phase-shifted interferograms and phase reconstruction in an interferometric system with three-channel MPA is verified by simulation. The experiment results shows that the proposed three-channel MPA structure performs better than the traditional four-channel MPA structure in terms of visual reconstruction effect and quantitative index of phase reconstruction.
Multi‐hop teleportation of arbitrary multi‐qudit states based on <i>d</i> ‐level GHZ channels

The combination of quantum communication technology and wireless networks brings a flexible and secure communication method that adapts to a more complex and open network environment. A new multi-hop teleportation scheme is investigated for transferring arbitrary unknown multi-qudit states between two distant parties. Based on a more general quantum routing protocol, intermediate nodes are introduced and linked with each other via d-level entangled Greenberger-Horne-Zeilinger states as quantum channels. In this multi-hop teleportation protocol, the source node and all the intermediate nodes can perform the entanglement measurement and transmit the measurement results simultaneously, thus reducing the time consumption largely. Furthermore, a general matrix formula is derived between the measurement results and the receiver's state, which enables the receiver to restore the unknown state efficiently. Compared with previous multi-hop teleportation protocols, the teleportation protocol of arbitrary unknown multi-qudit states of the authors can transfer more information, and it demonstrates lower computational complexity and higher flexibility.
Estimation theory and introduction to the Kalman filter

As we will see later, the Kalman filter is a powerful, yet complex, estimation algorithm. Under the right conditions, it provides an optimum way to form predictions as well as the weighting factors. Its ability to estimate dozens of parameters simultaneously will prove to be, as we shall see, highly useful. However, starting an explanation of the full Kalman filter with its usual matrix form is, in the opinion of this author (and teacher), counterproductive. We seek to understand the principles underlying the filter&apos;s structure and not get hopelessly lost in the matrix manipulations. To do this, we will start with a simple scalar problem (i.e., estimation of a single parameter). After fully describing the scalar Kalman filter, we will be able to attack the multivariate filter from a position of strength.
Conjugate complex function coupling strategy of interferometric field: Synthetic-wavelength interferometric fringe extraction in simultaneous dual-wavelength interferometry

Simultaneous dual-wavelength interferometry (SDWI) supplies a better solution to extend the measurement range of traditional single-wavelength interferometry with higher efficiency. To decompose the needed longer beat-frequency synthetic-wavelength (λS) information from the generated moiré fringe pattern in SDWI, a conjugate complex function coupling strategy (CCFC) of interferometric field is proposed in this study. By the Fourier transform and the half-band filter in one side of the spectrum, the positive half spectrum is obtained. The inverse Fourier transform and conjugate operation are performed on the half spectrums to obtain the two conjugate complex functions of the interferometric field. Coupled by the multiplication for the conjugate complex functions, the lower beat-frequency synthetic-wavelength interferometric fringe pattern is derived directly. And if the SDWI is implemented with the π/2 phase shift at λS, the obtained phase-shift interferogram for λS could be demodulated by the conventional phase-shift algorithm. Compared with other spatial-domain Fourier transform demodulation theory, the half-band filter used in CCFC method is appropriate for the different spectral width and carrier spatial frequency. The necessary introduced linear carrier is merely about 0.0947 times of the carrier in the former numerically. And it is only used to pursue the separation between the ±1 order phase lobes instead of the separation between the different wavelength phase lobes. The feasibility and applicability of the CCFC method are verified using simulation and experimental results.
Antecedents and Consequences of Employee Well-Being: Empirical Study on Saudi Aramco

This study addresses how employee well-being and knowledge sharing behavior can be managed within challenging work factors in the workplace environment. Besides identifying antecedents to well-being, it also seeks to examine the impact of well-being (psychological, physical, and social) on knowledge sharing behavior (tacit and explicit). The methodology of research in the present study is quantitative. The survey technique was used in data collection, it was conducted among 362 Saudi Aramco employees using the judgmental sampling method. Smart PLS was used for analyzing data. The findings illustrated that 1. Job hazards were found to affect the physical well-being of employees significantly. 2. As a result of improvement in physical and social well-being, better knowledge-sharing behavior in both tacit and explicit dimensions was demonstrated. In specific, tacit knowledge-sharing behavior is motivated more by physical well-being while explicit knowledge-sharing behavior is by social well-being. 3. Workplace conflict is found positively related to social well-being, contradicting hypothesized relationship. This seems to indicate Saudi Aramco employees embrace differences in view, beliefs, and feelings at work, and open discussion of conflicts enhances their social well-being. This study provides ideas to human resource management on strategies to enhance employee well-being for improved knowledge sharing behavior. Also, managers are encouraged to use open debates of differing views to resolve work matters professionally. This study deviates from current employee well-being studies by recognizing three different types of employees well beings (psychological, physical, and social) that contribute differently to knowledge sharing behavior. Also, it identifies factors that determine employee well beings.
Who Have We Invited to Dinner Next?

You are already a target for fraud. The fraudster knows you, knows your weaknesses and how to profit from them. Can you stop it, you could use the forensic accounting methodologies of following the money and other tips and systems, but are you to blame by chasing cheaper food supplies and larger profits? Can the customer really buy from suppliers around the world via the internet or should they go to local suppliers and high-street suppliers? Enforcement will not stop it for you, their role has changed.
AN AUTOMATED SYSTEM FOR SOLVING MULTIPARAMETRIC PROGRAMMING PROBLEMS

An automated system for solving multiparametric programming problems has been developed. The system is designed to solve multiparametric linear and quadratic programming problems. The parameters can exist in the coefficients of objective function as well as in the coefficients of constraint and right-hand sides. Functional dependencies of parameters can be both linear and non-linear. It is assumed that the partial derivatives of the coefficients with parametric dependencies, right-hand sides, as well as the functional dependencies of the solutions which are sought, do exist in respect to all parameters. The system prompts the user to select the class of the problem, the number of variables, the number of parameters and the number of differential images. Then it suggests entering the symbolic notations of the parameters, the interval of change. After that, text fields are created, in which the coefficients of the objective function of the optimization problem, the coefficients of the constraints and the right-hand sides are entered symbolically. For the solution of the problem, the system uses developed models using multidimensional differential transforms. The solutions to the problem are given by change intervals of the parameter, in each of them by the functional dependencies of the objective function and the variables, as well as graphical forms (in the case of one or two parameters). The computational operations are performed in Python 3 programming language using NumPy, SymPy, SciPy and Matplotlib libraries. The modules for calculating differential transforms are integrated in the system. The paper presents the results of solving a two-parameter programming problem by using the developed system which includes 24 intervals of change of the parameter, the functional dependencies of the solutions in each of them. The solutions were presented both in functional and graphical forms.
Key Information Extraction Method Study for Road Traffic Accidents via Integration of Rules and SkipGram-BERT

Road traffic accident reports have important information for analyzing and preventing road traffic accidents. Early information extraction methods of road traffic accident reports were mainly manual reading and manual input, which cost a lot of manpower and material resources and isn’t conducive to the aggregation and mining of accident information. Therefore, this paper innovatively proposes a key information extraction method of road traffic accident via integration of rules and SkipGram-BERT. Firstly, the paper constructs the key information index system of road traffic accidents based on the characteristics of road traffic accident reports. At the same time, the unstructured road traffic accident reports are processed by sentence segmentation and word segmentation. Secondly, for indicators with stronger regularity, the paper builds extraction rules for each indicator. For indicators with more diverse expressions, the paper proposes the SkipGram-BERT information extraction model. Finally, this paper applies the key information extraction method of road traffic accidents to practical cases to verify the effectiveness of the model. The result shows that the model proposed in this paper has an average accuracy of 85.52% for information extraction, which can more accurately extract key road traffic information. This method can help road traffic managers to quickly obtain the key information of road traffic accidents, and greatly improve the efficiency of road traffic accident industry management.
Systems Theory, Mechanics with Servoconstraints, Artificial Intelligence

The categorical theory of systems, the theory of functional and biomachsystems are based on a system-forming factor that assembles a system from disparate parts to achieve the planned result. In living organisms, ergatic and biomachsystems (human-machine-living), within their categorical models, the system-forming factor includes, among other things, both the principle of survival (for the living, physiology) and the principle of stationary action (for the inanimate, mechanics). An extension of the concept of a system within the framework of the categorical theory of systems to describe a system-forming factor for non-living systems is considered. The living controls the mechanical part of the system (musculoskeletal subsystem, machine, etc.), the movement of which is described by equations with servoconstraints, through which the control formalized with the help of these equations takes place. System principles distinguish varieties of mechanical systems, Newton-Galileo mechanics, Lagrange-D’Alembert mechanics, vakonomic and other mechanics. The intellectual properties of the living, which controls the mechanical parts, are modeled within the framework of artificial intelligence.
A New Approach to Search Engine Optimization Based on the Synthesis of a Virtual Promotion Map

Over the past ten years, we have been conducting research in the field of search engine optimization. More than 30 WEB projects of varying complexity were completed (online services, medicine, household goods, jewelry, lumber, auto parts). The results of these projects show two key problems. The first problem is that classic search engine optimization approaches such as Google AdWords advertising, HTML code optimization and building the semantic kernel of a WEB resource no longer provide significant results in a given period of time. The second problem is that there are no exact metrics that show when and with what budget the desired result can be achieved. The main reason for this is that these classic search engine optimization techniques are static, and the online market is constantly changing due to competition. Therefore, we have proposed a new information technology – virtual promotion of a product. Its skeleton is a virtual promotion map. This map is created based on the concept of a cognitive map. That is, it is a method of analyzing the current situation and automatically making a decision. By introducing a virtual promotion map into the project, we create a new decision-making mechanism for the implementation of a WEB search engine optimization project. The virtual promotion map includes two levels. The first one describes the Internet nodes where the semantic core of the e-content of our WEB project will be placed. The second level describes the cost of placing the semantic kernel. The second level is a mathematical programming problem, the solution of which gives us an answer on which nodes and for how long it is necessary to place the semantic core in order to obtain the desired result. The article shows a real example (WEB project in the American market of online services), in which a virtual promotion map was applied. Its application gave a tenfold increase in the main key performance indicator (traffic) over a given period of time (9 months) and a given promotion budget.
An Enhanced Session Based Login Authentication and Access Control Scheme Using Client File

This research enhanced session based login authentication and access control scheme by storing session login information on a client file store in an external memory instead of database. AES-256 is used to encrypt the user ID and biometric prior to storage on a client file to ensure user privacy. Password is also protected using SHA-2 hash function. Access control is also ensured using time stamp, device ID and network IP address. It prevents session hijacking and SQL injection because the above parameters are neither stored in session nor in server but only in client file. It also, remedies the impact of session hijacking and weak session management commonly occurred in session based login authentication because access control is verified via the client file in respect of other parameters like login time, device ID and network IP address in addition to session ID. User privacy is also ensured by encrypting the user ID to be used for automatic password protection of the client file and to be stored in both the database and client file. It is also more efficient than the previous scheme because session login is verified at the client not at the server. It is simulated using model as documentation for its implementation using any programming language. The enhanced session based login authentication scheme is analyzed for using cryptanalysis. And the results of analysis show that it ensures user privacy, unauthorized access control and defense against impersonation attack in addition to those provided by the previous research under consideration.
Multi-threaded Parallelization of Automatic Immunohistochemical Image Segmentation

In the research study, parallelization of the automatic selection of the biomedical image segmentation algorithm was developed. Parallelization is based on input image parameters. For histological, cytological, and immunohistochemical biomedical image segmentation, it is necessary to apply modern segmentation algorithms and their combinations. Using different segmentation parameters for a specific image increases the quality of the final result. Therefore, the development of a mechanism for the automatic selection of algorithms is an urgent task. Many publications have been devoted to the problem of parallelization of image processing tasks, but the processing of immunohistochemical images is a complex and urgent task. The peculiarity of the developed approach arises from the fact that parallelism is implemented for immunohistochemical images, which are characterized by the high complexity of processing at the segmentation levels. Training the system to determine the best segmentation algorithm for a particular type of images requires a lot of resources, particularly, time. The training sample of services is recruited by immunohistochemical images divided into the following groups: KI-67, HER2neu, Er, Pr. Parallelization of the process of segmentation algorithm and input parameters selection allows for speeding up this stage by 20%. Considering the number of images in the dataset, such an increase made it possible to optimize the process of biomedical image processing.
Illumination Invariant Based Face Descriptor

Majority of the local descriptors performance is not satisfactory in illumination variations. Therefore, the major significance of this research is to develop such descriptor in light variations. This work presents Robust Binary Pattern (RBP) descriptor by utilizing the two state of art descriptors i.e., MRELBP-NI and ELBP. Both descriptors capture discriminant information under the influence of illumination variations. By integrating features of there is outcome of more discriminant feature (RBP) in light variations. MRELBP-NI strength is using the two local statistics median and mean for developing the size. ELBP strength is development of the feature size by integrating multiple features (i.e. from HELBP and VELBP). FLDA and SVMs are used for compaction and classification. Results conducted on EYB proves RBP ability in contrast to the alone descriptors and several literature methods. The value of RBP is justified by comparing with numerous methods.