Image Formation Research Articles

In situ build surface topography determination in electron beam powder bed fusion

Electron optical imaging is the most promising process monitoring method in electron beam powder bed fusion. State of the art in modern machines is the installation of a single detector in the top center of the build chamber. Exemplary applications are the reconstruction of digital twins of manufactured parts to compare their dimensional accuracy or analysing the top surface of each layer to identify surface features like pores or material transport. Multi-detector systems are currently under research and have shown great potential in reconstructing the surface topography in situ. A recently developed ray tracing model, describing the image formation process, allows to formulate design guide lines for multi-detector systems and provides a method for the computation of the normal vector field of the build surface. This work utilizes the recent progress and presents a newly developed four-detector system and an updated computation chain, which enable build surface topography reconstruction in situ in every layer of a build process. The computation chain contains a normal integration algorithm, which employs Tikhonov regularization to cope with measurement irregularities. The integration method is validated with ex situ measured as-built surfaces. Additionally, first applications are demonstrated and connections to process parameter changes illustrated.

PSYCHOLOGICAL FACTORS OF BUSINESS ORGANISATIONS COMPETITIVENESS

The study is aimed at identifying the psychological factors of competitiveness of a business organization and determining the directions of organizational activities for their actualization. The relevance of the study is due to the fact that in today’s increasingly competitive environment, an organization should strive to make the most of all available resources and factors that can contribute to its competitiveness among other market players. On the basis of theoretical analysis, the authors develop a model of internal (organizational) and external psychological factors of competitiveness of a market-type organization. The internal psychological factors comprise three relatively independent subsystems: the managerial subsystem (goal setting, decision making, labor incentives, change management), the subsystem of professionally important qualities and the subsystem of organizational interaction (socio-psychological climate and corporate culture). The external psychological factors are divided into two subsystems: the client subsystem based on the consumer psychology and the subsystem of institutional interaction with other organizations. The areas of organizational activities aimed at actualizing internal psychological factors of competitiveness include psychological and managerial counseling; designing processes with due regard for psychological factors; psychological examination of various components of organizational activities: management decisions, key processes; personnel selection and training; formation of a socio-psychological climate and development of corporate culture. In order to gain an external competitive advantage, such organizational practices as consumer research, brand development, market positioning, company image formation, and psychological support of the negotiation process will be appropriate. The results of the study can be used by top managers of organizations in the formation of strategies to improve the competitiveness of the company, psychology specialists to determine the directions of psychological support of organizational processes. Key words: business organization, competitiveness, psychological factors, management system, professionally important qualities, organizational interactions, interaction with consumers.

Multi-Image Steganography

Steganography is the practice of concealing information within various types of data, encompassing the embedding of confidential content like messages, images, audio, or video within a cover image. The primary objective involves hiding the secret message or image within the selected image through the utilization of the Least Significant Bit (LSB) technique. To ensure the safeguarding and security of the concealed content, the Advanced Encryption Standard (AES) Algorithm is implemented. The comparison of different image formats, each varying in text length or image size, is conducted. The algorithm's efficacy is evaluated through metrics such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE), with a higher PSNR value indicating a superior image quality. Steganography assumes a vital role in numerous applications, including but not limited to medical, military, One Time Password (OTP), and copyright protection. Key Words: Image steganography, LSB, Advanced Encryption Standard, PSNR Ratio, MSE

Formation of radar images of radiating radioelectronic devices by passive aperture synthesis

Statement of the problem. Justification of the possibility of creation of radar station with passive synthesis of the aperture for detection of the radiating REM and forming their of the radar image (RI) with high resolution capacity. Purpose. Justification of the possibility of forming RI of the radiating REM with high resolution capacity. Results. It is shown that receiving RI REM in the passive mode is possible. Practical importance. Resolution capacity necessary for detection and forming of RI of the radiating REM is provided.

City Image Shaping Elements in Manado’s Megamas

The Megamas area encompasses 37 hectares of reclaimed beachfront land, hosting malls, hotels, and recreational spaces vital for bolstering tourism in Manado. Positioned facing Bunaken Island, Megamas stands as a must-visit destination for tourists. Leveraging Kevin Lynch's theory of city image formation, which comprises landmarks, paths, districts, nodes, and edges, this study aims to scrutinize the components shaping the urban identity of Megamas Manado. Employing qualitative methods, the research commenced with on-site observations to gain nuanced insights, followed by questionnaire administration to gauge public perceptions regarding the five elements of city image formation. The findings highlight Megamall as the predominant landmark, with adjacent public spaces serving as nodes, and corridors like Jl. Piere Tendean and thoroughfares such as Jl. E. E. Mangindaan and Jalan K.H. Abdurrahman Wahid acting as pathways. Moreover, shopping centers emerge as prominent districts within the Megamas area.

Remote sensing of high energy particle currents (HEC): towards HEC radiography

Abstract High-energy charged particle current (HEC) originating in or passing through an object creates mirror currents in a system of electrodes surrounding it. The electrodes are not in an electrically conductive contact with the object; they can be placed at a distance from its surface. We employ this effect to probe the object by measuring HEC-radiographic signal for a megavoltage x-ray scanning beam and for a broad static beam. Unlike in standard radiography, where an external bank of detectors measures the emerging radiation from the object, the principle of the proposed HEC radiography relies on remotely sensing the current distribution inside the object. Thus, HEC radiography is capable of probing objects that absorb all or most of the primary incident beam and where transmitted radiation cannot be used for image formation or reconstruction. Potential applications of this technology include non-destructive imaging of radio-opaque objects and in-vivo monitoring of charged particle ranges or dose distribution during cancer radiotherapy.

Ultrafast 3-D Transcutaneous Super Resolution Ultrasound Using Row-Column Array Specific Coherence-Based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, in Rabbit and in Human Study

ObjectiveThis study aimed to realise 3-D super-resolution ultrasound imaging transcutaneously with a row-column array which has far fewer independent electronic channels and a wider field of view than typical fully addressed 2-D matrix arrays. The in vivo image quality of the row-column array is generally poor, particularly when imaging non-invasively. This study aimed to develop a suite of image formation and post-processing methods to improve image quality and demonstrate the feasibility of ultrasound localisation microscopy using a row-column array, transcutaneously on a rabbit model and in a human. MethodsTo achieve this, a processing pipeline was developed which included a new type of rolling window image reconstruction, which integrated a row-column array specific coherence-based beamforming technique with acoustic sub-aperture processing. This and other processing steps reduced the ‘secondary’ lobe artefacts, and noise and increased the effective frame rate, thereby enabling ultrasound localisation images to be produced. ResultsUsing an in vitro cross tube, it was found that the procedure reduced the percentage of ‘false’ locations from ∼26% to ∼15% compared to orthogonal plane wave compounding. Additionally, it was found that the noise could be reduced by ∼7 dB and the effective frame rate was increased to over 4000 fps. In vivo, ultrasound localisation microscopy was used to produce images non-invasively of a rabbit kidney and a human thyroid. ConclusionIt has been demonstrated that the proposed methods using a row-column array can produce large field of view super-resolution microvascular images in vivo and in a human non-invasively.

Characterizing Natural Hydrogen Occurrences in the Paris Basin From Historical Drilling Records

AbstractThis study investigates natural hydrogen (H2) occurrences in the Paris Basin, using Optical Character Recognition (OCR) technology to analyze an extensive, yet underexploited, database that contains historic drilling records. The potential of natural hydrogen has been largely unexplored in conventional oil and gas wells. Utilizing the in‐house CVAGeoDB database based on public well data, which includes well logs, mudlogs, and End Drilling Reports (EDRs) in PDF image format, we applied the Tesseract‐OCR Engine to convert these documents into searchable formats for efficient data analysis. Our analysis revealed several H2‐bearing wells across French sedimentary basins. The hydrogen occurrences in the Aquitaine Basin may be explained by the geological context and in particular the presence of a mantle body at shallow depth. On the contrary, the detection of H2 in the Paris Basin cannot be explained in a straightforward manner as the presence of ultramafic or U‐rich rocks is poorly documented so far. In the Paris Basin, H2 has been detected in four main formations: the Lusitanian, the Dogger, and Triassic aquifers as well as in the basement. The highest hydrogen concentration (52 vol%) was measured in the Dogger aquifer. These wells are primarily located along the Bray Fault, indicating at least a structural influence on H2 distribution. Finaly, the presence of serpentinzed dunite from the Lizard complex associated with the bedrock may have played the role as a source for H2. This research demonstrates the effectiveness of OCR in reassessing historical drilling data for natural hydrogen exploration, highlighting the need for comprehensive exploration methodologies in this emerging field.

Visualization of Solar Radiation Using Three-Dimensional Computer Graphics Technologies

Currently, the prediction, calculation and rationing of solar radiation is a serious problem that has a wide impact on the spheres of human activity. Creating and maintaining a comfortable living environment, as well as solving the world's energy problems, are the fundamental criteria that determine its relevance. This article discusses the possibility of using three-dimensional graphics technologies to calculate insolation. The paper considers an algorithm for calculating the four main components of the visualization of global solar radiation: direct beam radiation, diffuse radiation, reflected beam radiation and reflected diffuse radiation. The freely distributed open source software Blender 3D is used as a tool for working with computer graphics. In the course of the study, calculations based on the principle of bidirectional path tracing, which is used in the visualization algorithms of the Cycles graphics engine, are presented. The use of the technology of transferring complex data to the raster image format allows you to create a separate texture map for each component of the simulated lighting. Based on the obtained texture maps, it is possible to calculate the global solar radiation for all created or imported 3D models in the three-dimensional space of Blender 3D.

Using R Programming for Somatoploting

Introduction: Anthropometry is a technique employed to evaluate body dimensions and ratios by examining body length, width, circumference, and skinfold thickness. It is cost-effective, uncomplicated, and easily transportable, and it may be used in diverse industries. Somatotyping is a primary method used to classify the human physique based on three main components: endomorphy, mesomorphy, and ectomorphy. Heath and Carter established and modified the standards of somatotype, which continue to be employed for global measurements. Several software tools have been created for somatoploting, including SAS/GRAPH, Houcine, Orhan, and machine-learning models. Nevertheless, most of these tools are not open-source, resulting in laborious manual enumeration and hindering the accurate representation of differences among groups. A functional, open-source, precise tool is required to categorise somatotypes of extensive sample sizes and illustrate their differences. Method: R programming is a powerful and versatile programme language, particularly popular in statistical computing and graphics. It is widely used in various fields, like biostatistics, bioinformatics, and financial market analysis. R incorporates original programming concepts like object-oriented programming, which users can use transparently. This paper introduces how to use R programming as a tool for somatoploting, introduces the code for somatoploting, inserts x and y data, and executes the program to get a somatochart. It uses anthropometric data of 34 school-going students collected in Shindikurbet, Karnataka, aged between 10 and 12 years, collected through ISAK protocol guidelines to develop somatotypes and further plot them. Result: The paper holistically demonstrates using R programming to plot somatotypes in a 2-D Somatochart. Using this process, the reader can develop high-quality somatocharts in image or PDF formats. Conclusion: This study explores using R programming, an open-source software, for somatoploting and generating somatocharts. This method aids in understanding complex information, fact-explaining, and guiding action in various fields. It offers accessible data processing, analysis, and presentation, making implementing and saving budgets for students, researchers, and institutions easy. Further research could be conducted to make the code easier to use in Excel sheets or mobile applications.

A photogrammetric approach for real‐time visual SLAM applied to an omnidirectional system

AbstractThe problem of sequential estimation of the exterior orientation of imaging sensors and the three‐dimensional environment reconstruction in real time is commonly known as visual simultaneous localisation and mapping (vSLAM). Omnidirectional optical sensors have been increasingly used in vSLAM solutions, mainly for providing a wider view of the scene, allowing the extraction of more features. However, dealing with unmodelled points in the hyperhemispherical field poses challenges, mainly due to the complex lens geometry entailed in the image formation process. To address these challenges, the use of rigorous photogrammetric models that appropriately handle the geometry of fisheye lens cameras can overcome these challenges. Thus, this study presents a real‐time vSLAM approach for omnidirectional systems adapting ORB‐SLAM with a rigorous projection model (equisolid‐angle). The implementation was conducted on the Nvidia Jetson TX2 board, and the approach was evaluated using hyperhemispherical images captured by a dual‐fisheye camera (Ricoh Theta S) embedded into a mobile backpack platform. The trajectory covered a distance of 140 m, with the approach demonstrating accuracy better than 0.12 m at the beginning and achieving metre‐level accuracy at the end of the trajectory. Additionally, we compared the performance of our proposed approach with a generic model for fisheye lens cameras.

2D and 3D compatible chaotic image encryption system based on checkers rules and shift register

The neighboring coordinates are strongly correlated in 3D images, but the encryption format of 3D images is not suitable for 2D image encryption. Thus, a novel compatible chaotic image encryption system based on checkers rules and shift register is proposed in this paper. Firstly, a discrete memristive hyperchaotic map(a discrete hyperchaotic map coupled with a memristor) is used to generate the chaotic sequence of the cryptosystem. The hyperchaotic map is analyzed through Phase diagrams, Lyapunov exponent spectrum(LEs), and bifurcation diagram. Secondly, the data format of a 3D image is converted to a 2D image data format. Then, the checkers rules are used to scramble the 2D image data format. Finally, the scrambled data and the chaotic sequence are converted to character types, and the scrambled data is further encrypted by the shift register principle. The 2D image and 3D image are tested and the results show that the compatibility encryption system has good performance, significantly reducing the correlation among the data.

Ecolinguistic components of the Arctic literary image in Vasily Matonin’s travelogue Kochevoy dnevnik

This article explores key ecolinguistic components forming the literary image of the modern Arctic in V. N. Matonin’s travelogue Kochevoy dnevnik (“Nomadic Diary”). Nowadays, a significant part of the scientific literary works covers the Arctic image of the past, from the very beginning of the circumpolar region development to its active transformation during the 20th c. The modern study of the Arctic image is not the same as the study of the modern image of the Arctic presented in this article. All above determines the relevance of the work. The research material includes the Arctic travelogue Kochevoy dnevnik by Vasily Nikolaevich Matonin. This book describes the author’s journey through three regions belonging to the Arctic zone of the Russian Federation in 2012–2013. The contextual analysis applied in the article aims to systematically identify and describe several contexts of the phenomena studied. This study uses the ecolinguistic approach connecting some individual components of the space representation into a complex ecosystem. The use of ecolinguistic frameworks to examine the formation of the modern Arctic literary image determines the scientific novelty of this article. This work covers the structural and functional features of travelogue as a literary genre (such as composition, author’s quasi-socialization in a new reality, relaying of the subjective space image, author’s self-reflection, manifesting importance of language as an essential element forming a connection between man, society and nature); defines the concept of the “Arctic literary image” as a combination of physical, symbolic and mathematical space of different multilingual multicultural circumpolar territories; and analyses some linguistic, social, demographic, ethnocultural, interactive, mental, political, economic and environmental aspects that construct the circumpolar literary image in V. N. Matonin’s travelogue.

Application of continuous wavelet transform and convolutional neural networks in fault diagnosis of PMSM stator windings

Efficiency, reliability, and durability play a key role in modern drive systems in line with the Industry 4.0 paradigm and the sustainability trend. To ensure this, highly efficient motors and appropriate systems must be deployed to monitor their condition and diagnose faults during the operation. For these reasons, in recent years, more and more research has been focused on developing new methods for fault diagnosis of permanent magnet synchronous motors (PMSMs). This paper proposes a novel hybrid method for the automatic detection and classification of PMSM stator winding faults based on combining the continuous wavelet transform (CWT) analysis of the negative sequence component of the stator phase currents with a convolutional neural network (CNN). CWT scalogram images are used as the inputs of the CNN-based interturn short circuits fault classifier model. Experimental tests were carried out to verify the effectiveness of the proposed approach under various motor operating conditions and at an incipient stage of fault propagation. In addition, the effects of the input image format, CNN structure, and training process parameters on model accuracy and classification effectiveness were investigated. The results of the experimental tests confirmed the high effectiveness of fault detection (99.4%) and classification (97.5%), as well as other important advantages of the developed method.

МЕТОДИКО-ПРИКЛАДНІ ПІДХОДИ ДО ФОРМУВАННЯ ЛОГІСТИЧНОГО МЕХАНІЗМУ БЕЗПЕКИ РОЗВИТКУ ПІДПРИЄМСТВА

The research focuses on aspects of guaranteeing stable and safe (mainly in terms of economy, finance and production) functioning and development of enterprises, organization of their logistics activities, formation and development of logistics systems, including the processes of implementing the appropriate logistics mechanism. It is emphasized that this approach is based on careful planning of various aspects and elements of the business security system. The purpose of the study is to improve the methodological and applied approaches to the formation of the logistics security mechanism of the enterprise development. It is shown that the logistics system plays an important and one of the leading roles in the sustainable and stable functioning and development of domestic enterprises. It is pointed out that an important task facing the top management of business entities is, first, strategic and tactical planning of the formation and implementation of the logistics mechanism of development; secondly, coordination of tasks and means of ensuring the development of the logistics system and strengthening the security of business development. The task of identifying and implementing opportunities and prospects for the application of innovative tools in the system of formation and implementation of the logistic mechanism of business development, oriented at the same time to strengthening the security of the sustainable development of the enterprise, has been identified. It was emphasized that the role of information and communication technologies in these processes, which open up new opportunities for the enterprise, is especially important, in particular in the areas of: quick access to information about the enterprise, as well as markets and consumers of products (services); image formation in online applications and social networks; operational identification of the main stakeholders of the enterprise; realizing the potential of Internet marketing and the absence of boundaries for communication and interaction; transfer of logistics operations online; growth in the volume of virtual trade and settlement and transport and logistics operations; combating cybercrime, etc.

Uncertainties in ocular proton planning and their impact on required margins

PurposeTo review required margins in ocular proton therapy (OPT) based on an uncertainty estimation and to compare them with widely used values. Further, uncertainties when using registered funduscopy images in the 3D model is investigated. MethodsAn uncertainty budget in planning and delivery was defined to determine required aperture and range margins. Setup uncertainties were considered for a cohort of treated patients and tested in a worst-case estimation. Other uncertainties were based on a best-guess and knowledge of institutional specifics, e.g. range reproducibility. Margins for funduscopy registration were defined resulting from scaling, rotation and translation of the image. Image formation for a wide-field fundus camera was reviewed and compared to the projection employed in treatment planning systems. ResultsValues for aperture and range with margins of 2.5 mm as reported in literature could be determined. Aperture margins appear appropriate for setup uncertainties below 0.5 mm, but depend on lateral penumbra. Range margins depend on depth and associated density uncertainty in tissue. Registration of funduscopy images may require margins of >2 mm, increasing towards the equator. Difference in the projection may lead to discrepancies of several mm. ConclusionsThe commonly used 2.5 mm aperture margin was validated as an appropriate choice, while range margins could be reduced for lower ranges. Margins may however not include uncertainties in contouring and possible microscopic spread. If a target base is contoured on registered funduscopy images care must be taken as they are subject to larger uncertainties. Multimodal imaging approach in OPT remains advisable.

Studi Peran Citra Perusahaan Dalam Meningkatkan Motivasi Kerja Karyawan PT. PAL Indonesia (Persero)

This study investigates the factors that influence the formation of PT's corporate image. Pal Indonesia (Persero) and how this perception is related to employee work motivation. Through a literature analysis approach, this research analyzes the perceptions of various stakeholder groups, including prospective employees, customers, suppliers and the general public. The results of the analysis show that company reputation, product and service quality, relationships with stakeholders, organizational values, and commitment to social responsibility are the main factors that influence the company's image. Positive perceptions of the company's image can increase trust, reputation and support from various parties, which in turn can motivate employees to provide their best contribution. Conversely, negative or ambiguous perceptions can reduce employee interest and motivation. Therefore, company management must actively monitor and manage these factors, and strive to build good relationships with various stakeholders to create a motivating work environment that contributes to the company's long-term success.

The Eye Caustic of a Ball Lens

Abstract Lens phenomena, such as caustics, image distortions, and the formation of multiple images, are commonly observed in various refracting geometries, including raindrops, drinking glasses, and transparent vases. In this study, we investigate the ball lens as a representative example to showcase the capabilities of Berry’s eye caustic as an optical tool. Unlike the conventional paraxial approximation, the eye caustic enables a comprehensive understanding of image transformations throughout the entire optical space. Through experimental exploration, we establish the relationship between the eye caustic and traditional light caustics. Furthermore, we provide mathematical expressions to describe both the caustic and the image transformations that occur when viewing objects through the ball lens. This approach could be of interest for optics education, as it addresses two fundamental challenges in image formation: overcoming the limitations of the paraxial approximation and recognizing the essential role of the observer in comprehending lens phenomena.

ЛИЧНОСТНЫЙ И ПСИХОЛОГИЧЕСКИЙ СТАТУС АДЪЮНКТА КАК ОСНОВА ЕГО ИМИДЖА

The results of a study on the formation of the image of an associate are presented on the example of students at the Saint-Petersburg university of State fire service of EMERCOM of Russia. Surveys of adjuncts were conducted, and external factors that directly affect the formation of status positions and the formation of the image of students were analyzed. In the methodological component of the presented material, based on the main provisions of the theory of modernization of education in law enforcement agencies, the results of this study are summarized, a comparative characteristic of the factors and conditions ensuring the formation of a positive image of an associate is given. The authors' conclusion demonstrates the ability and willingness of all subjects of activity related to the training of highly qualified personnel to effectively solve the task of improving the personal and social status of an associate, forming the image of a young scientist, and, consequently, modern science as a whole.

Underwater image sharpening and color correction via dataset based on revised underwater image formation model

Underwater image sharpening and color correction via dataset based on revised underwater image formation model