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In this letter, a comprehensive and detailed introduction to the current security risks faced by networked printers is given, the security monitoring platform and attack detection method are explained, and the actual monitoring results are analyzed. In particular, the most comprehensive feature knowledge database for networked printer is organized and published. [ABSTRACT FROM AUTHOR]

Abstract In this letter, a comprehensive and detailed introduction to the current security risks faced by networked printers is given, the security monitoring platform and attack detection method are explained, and the actual monitoring results are analyzed. In particular, the most comprehensive feature knowledge database for networked printer is organized and published.

Printers can release numerous particles to contaminate indoor environments and pose health risks. Clarifying the exposure level and physicochemical properties of printer-emitted particles (PEPs) will help to evaluate the health risks of printer operator. In our study, the particles concentration in the printing shop was monitored in real time for a long time (12 h/day, total 6 days), and the PEPs were collected to characterize their physicochemical properties including shape, size and compositions. The result showed that the concentration of PEPs is closely related to the printing workload and the highest particle mass concentration of PM10 and PM2.5 was 212.73 μg m−3 and 91.48 μg m−3, respectively. The concentration of PM1 in the printing shop was in the range of 11.88–80.59 μg m−3 for mass value, and 174.83–1348.84 P cm−3 for count value which changed with the printing volume. The particle sizes of PEPs were less than 900 nm, 47.99% of PEPs was less than 200 nm, and 14.21% of the particles were at the nanoscale. PEPs contained 68.92% organic carbon (OC), 5.31% elemental carbon (EC), 3.17% metal elements, and 22.60% other inorganic additives, which contained more OC and metal elements than toners. Total polycyclic aromatic hydrocarbons (PAHs) levels were 18.95 ng/mg in toner and 120.70 ng/mg in PEPs. The carcinogenic risk of PAHs in PEPs was 1.40 × 10–7. These findings suggested future studies should pay more attention to the health effects of printing workers exposed to nanoparticles. [ABSTRACT FROM AUTHOR]

The article discusses the development of book printing in the Czech in the 16th – early 17th centuries, two periods in the development of Czech book printing are distinguished: 1501–1547 and after the events of 1547 until the Battle of White Mountain. The author reveals the changes that have taken place in the working conditions of printing houses, the attitude of the royal authorities to book printing, the repertoire of Czech printed books, the number of published products.

This work describes a computational method for reconstructing clusters of social relationships among early modern printers and publishers, the most determinant agents for the process of transformation of scientific knowledge. The method is applied to a dataset retrieved from the Sphaera corpus, a collection of 359 editions of textbooks used at European universities and produced between the years 1472 and 1650. The method makes use of standard bibliographic data and fingerprints; social relationships are defined as “awareness relationships”. The historical background is constituted of the production and economic practices of early modern printers and publishers in the academic book market. The work concludes with empirically validating historical case studies, their historical interpretation, and suggestions for further improvements by utilizing machine learning technologies.

This work describes a computational method for reconstructing clusters of social relationships among early modern printers and publishers, the most determinant agents for the process of transformation of scientific knowledge. The method is applied to a dataset retrieved from the Sphaera corpus, a collection of 359 editions of textbooks used at European universities and produced between the years 1472 and 1650. The method makes use of standard bibliographic data and fingerprints; social relationships are defined as "awareness relationships". The historical background is constituted of the production and economic practices of early modern printers and publishers in the academic book market. The work concludes with empirically validating historical case studies, their historical interpretation, and suggestions for further improvements by utilizing machine learning technologies. [ABSTRACT FROM AUTHOR]

The indoor localization still has challenges when compromising accuracy, cost, scalability, and so on. In recent years, signals of opportunity have been widely used for low-cost and scalable indoor localization services, especially in complex and changeable environments. In this article, a new opportunistic signal for indoor localization is proposed using the inaudible sound pattern from the appliances, which has superiority in long-term existence, stability, high availability, and privacy protection. The short-time Fourier transformed feature is exploited with a random forest model to recognize the appliance, and a promised matching algorithm is proposed to avoid any false detection. The recognized appliances can be used as standalone location indicators or supplements, such as loop closure pairs and additional landmarks, to the existed indoor localization system. The experimental results show that the appliance recognition achieves a recall rate of 79.66% under 100% precision, and a 95.43% improvement of localization accuracy is obtained to the pedestrian dead reckoning system over a 621.58-m trajectory. [ABSTRACT FROM AUTHOR]

Increasing usage of digital manufacturing (DM) in safety-critical domains is increasing attention on the cybersecurity of the manufacturing process, as malicious third parties might aim to introduce defects in digital designs. In general, the DM process involves creating a digital object (as CAD files) before using a slicer program to convert the models into printing instructions (e.g., g-code) suitable for the target printer. As the g-code is an intermediate machine format, malicious edits may be difficult to detect, especially when the golden (original) models are not available to the manufacturer. In this work, we aim to quantify this hypothesis through a red team/blue team case study, whereby the red team aims to introduce subtle defects that would impact the properties (strengths) of the 3-D printed parts, and the blue team aims to detect these modifications in the absence of the golden models. The case study had two sets of models, the first with 180 designs (with two compromised using two methods) and the second with 4320 designs (with 60 compromised using six methods). Using statistical modeling and machine learning (ML), the blue team was able to detect all the compromises in the first set of data, and 50 of the compromises in the second. [ABSTRACT FROM AUTHOR]

For extrusion-based additive manufacturing, the variation in material deposition can significantly affect printed material distribution, causing infill nonuniformity and defects. These variations are induced by kinematic variations of the printer extruder. Such infill nonuniformity is more significant in an application of collaborative printing systems by which multiple printers’ extrudes co-create the same structure since more accelerate–decelerate kinematic cycles are involved. There is a lack of a quantitative understanding of the impact of printing kinematics on such variations to guide the printing process control. This article deals with the challenge by establishing a mathematical model that quantifies the printing width variations along the printing paths induced by printing speed and acceleration. The model provides vital information for predicting infill pattern nonuniformity and potentially enables using G-code adjustment to compensate for the infill errors in future research. In addition, since the model captures the mechanism of kinematics-induced variations, it provides a way of between-printer knowledge transfer on estimating printing errors. This article further proposes an informative-prior-based transfer learning algorithm to improve the quality prediction model for a printer with limited historical data by leveraging the shared data from interconnected 3-D printers. A case study based on experiments validated the effectiveness of the proposed methodology. Note to Practitioners—This article quantitatively studies the impact of extruder kinematics on geometric variations and printing quality in extrusion-based 3-D printing processes. The model can help predict the geometric printing quality and related defects, such as overfill or underfill problems given kinematics setup by G-code. This study can expedite the learning process of printing variations induced by kinematics for new printers to set up monitoring and G-code adjustment for process control in the early stage of production when the data are limited. In the long run, such between-printer transfer learning has the potential to enable the transfer learning for interconnected collaborative 3-D printing systems with improved printing efficiency and quality. [ABSTRACT FROM AUTHOR]

About 125 years ago, the question of whether a synod established the handed-down classical Reformed Liturgy, and if so, which one, was hotly debated. The answer to this question was important in determining which text should be considered authoritative in the church. It is now clear that the answer has only limited relevance. On the one hand, the text of the Liturgy has certainly been handed down in a broadly correct manner. On the other hand, there is a large number of variations, most of which, however, are of minor importance. The influence of church assemblies on all this is only one factor. This article, therefore, chooses to ask what factors influenced the shape of the Liturgy as it developed in the second half of the sixteenth and the first half of the seventeenth centuries. It names six factors in addition to the (both provincial and national) synods, namely the government, some prominent pastors, local church councils, printers, buyers' tastes, and local practice. [ABSTRACT FROM AUTHOR]

Remanufacturing offers an approach to extend product lifetime beyond its first use. After restoring products to original quality, they are reintroduced to the market. To make products more suited for this approach, and to increase resource-efficiency, design for remanufacturing can be incorporated for new product development. Academic literature points out opportunities for improved implementation particularly through early-stage design activities. This paper presents an in-depth, single case study into the opportunities and barriers to incorporate design for remanufacturing ine early-stage design. The selected case company is a producer of professional imaging equipment with an internal remanufacturing division. The company has decades of experience in remanufacturing and has introduced a company standard on design for End-of-Life. For data collection, employees from different departments were interviewed and observed. Design management theory was used to combine findings from all perspectives into a company-specific strategy map. This map shows departmental interrelations and dependencies, and exposes the opportunities for creating new value through design. At the case company, remanufacturing was found to be separate from, and secondary to, the development of newly manufactured products. If the strategy of a company is not attuned to developing products that serve multiple use-cycles, its execution will remain sub-optimal and remanufacturing will be a value-retention strategy in isolation. These findings may be valid for other companies that have remanufacturing operations, which are separate, as well. [ABSTRACT FROM AUTHOR]

A study into the manufacturing considerations for developing a frequency reconfigurable antenna solution using a low-cost inkjet printing technique is presented in this article. The solution uses an off-the-shelf printer, cartridges filled with nanoparticle silver ink, and inexpensive electronic components. In this study, two conductive patches are printed on an inexpensive polyethylene terephthalate (PET) substrate, which can provide both switching and tuning by repositioning and rearranging of the components in a single-layer design configuration. The conductive silver provides an insight into the quality of the printed area. Furthermore, it provides information on potential procedures to mount and reattach the components. Inexpensive capacitors and p-i-n diodes were affixed onto the printed aperture using conductive adhesive to create complimentary dipoles for frequency reconfiguration. A single-band switching solution switches between two adjacent frequency bands. A dual-band tuning solution demonstrates dynamic tuning between a range of frequencies. Simulated and measured results are in good agreement with one another. An assortment of bands of operations allows the antennas to be suitable for mobile communication, wireless local area network (WLAN), and sensing applications. The dual-band nature of the tunable antenna can act perfectly as a bridge among 3G, 4G, and 5G communication bands. [ABSTRACT FROM AUTHOR]

Surface mount technology (SMT) is a process for producing printed-circuit boards. The solder paste printer (SPP), package mounter, and solder reflow oven are used for SMT. The board on which the solder paste is deposited from the SPP is monitored by the solder paste inspector (SPI). If SPP malfunctions due to the printer defects, the SPP produces defective products, and then abnormal patterns are detected by SPI. In this article, we propose a convolutional recurrent reconstructive network (CRRN), which decomposes the anomaly patterns generated by the printer defects, from SPI data. CRRN learns only normal data and detects the anomaly pattern through the reconstruction error. CRRN consists of a spatial encoder (S-Encoder), a spatiotemporal encoder and decoder (ST-Encoder-Decoder), and a spatial decoder (S-Decoder). The ST-Encoder-Decoder consists of multiple convolutional spatiotemporal memories (CSTMs) with a spatiotemporal attention (ST-Attention) mechanism. CSTM is developed to extract spatiotemporal patterns efficiently. In addition, an ST-Attention mechanism is designed to facilitate transmitting information from the spatiotemporal encoder to the spatiotemporal decoder, which can solve the long-term dependency problem. We demonstrate that the proposed CRRN outperforms the other conventional models in anomaly detection. Moreover, we show the discriminative power of the anomaly map decomposed by the proposed CRRN through the printer defect classification. [ABSTRACT FROM AUTHOR]

Fused filament fabrication (FFF) 3D printing is one of the most common additive processes due to its low cost and speed of production. There has been growing interest to have a fleet of such printers, which can be procured at low cost, as they have enormous potential of providing a large volume of continuous production of customized parts on demand. However, the main bottleneck for the FFF printing process is that the part must be manually removed before the next print can commence as the print bed is occupied. Time is also wasted when erroneous print is not stopped. This requirement increases the downtime of the machines significantly, which affects utilization and profit. The process is desired by several industries for continuous printing around the clock. Therefore, this article presents a system with vision-based failure detection and robotic manipulation, termed detect-remove-replace (DRR), to address the aforementioned issues. It provides automated monitoring and part extraction for FFF 3D printers while eliminating the need for manual intervention to enable unmanned continuous printing. The experimental results show that DRR is able to detect common defects of the prints (such as spaghetti, detachment, and air printing) with 85.11% accuracy. In addition, the prints are successfully removed 20 times out of 21 tests, and the heatbed steel sheet is robustly replaced for the next prints with a 100% success rate. [ABSTRACT FROM AUTHOR]

A comprehensive study of developing a novel printing system using a low-cost open-source printer for fully 3-D printing frequency-selective surface is presented in this article. The novel printing setup employs a low-cost printer to print a plastic-based filament and a conductive silver ink paste simultaneously. As there were no printers available in the market for this application, the open-source fused filament fabrication (FFF) printer was modified to accommodate two extruders mounted on the same extruder carriage. Techcon TS250 air pressure dispenser was employed for the extrusion of silver ink. Extension pieces for the extruder carriage were also 3-D printed using a fused deposition modeling (FDM) printer to reduce the production costs. A bandstop FSS comprising of square loop elements was designed to demonstrate the full fabrication. The FSS operated at a central frequency of 2.55 GHz and provided a good angle of response with wide bandwidths. Surface profiles of the printed FSS and substrate demonstrate the reliable fabrication of the FSS design. This full 3-D printing method provides an economical, eco-friendly, swift, reliable, and viable substitute for the fabrication of FSS designs that could be highly customized in terms of fabricating 3-D FSS designs with reliable performances. The designs can be printed and deployed to reduce the drop in signal within an enclosed environment. [ABSTRACT FROM AUTHOR]

If machine failures can be detected preemptively, then maintenance and repairs can be performed more efficiently, reducing production costs. Many machine learning techniques for performing early failure detection using vibration data have been proposed; however, these methods are often power and data-hungry, susceptible to noise, and require large amounts of data preprocessing. Also, training is usually only performed once before inference, so they do not learn and adapt as the machine ages. In this article, we propose a method of performing online, real-time anomaly detection for predictive maintenance using hierarchical temporal memory (HTM). Inspired by the human neocortex, HTMs learn and adapt continuously and are robust to noise. Using the Numenta Anomaly Benchmark, we empirically demonstrate that our approach outperforms state-of-the-art algorithms at preemptively detecting real-world cases of bearing failures and simulated 3-D printer failures. Our approach achieves an average score of 64.71, surpassing state-of-the-art deep-learning (49.38) and statistical (61.06) methods. [ABSTRACT FROM AUTHOR]

Additive manufacturing (AM), otherwise known as 3D-Printing (3DP) or rapid prototyping (RP), is the fabrication of an object from zero by means of depositing materials layer by layer. 3DP allows the creation of complex geometrical objects such as human anatomy. 3DP applications in a surgical setting have mainly been described for anatomical models (surgical planning, simulation and education), customized implants, prostheses and surgical guides. In order to 3DP for surgical planning, Digital Imaging and Communications in Medicine (DICOM) images are converted to Standard Tessellation Language (STL) files. This process is called segmentation. Segmentation of bone structures is nowadays quite automated, whilst this becomes a challenge when dealing with other anatomical parts such as organs or soft tissues. This review explores what can be done in 3DP for surgical planning beyond bone structures, the current available technology, and clinical applications, limitations of printers and materials and ongoing research.

Phase-only holograms are more attractive than the amplitude holograms for the higher energy utilization and the possibility to realize on-axis holographic 3D display without conjugate image. In this study, we propose a high-resolution phase-only holographic 3D display using the light field images rendered in the frequency domain. The high-resolution phase-only hologram contains a large number of elemental phase-only holograms (EPHs), and each EPH is calculated from the light field image of the corresponding viewing point in frequency domain through weighted GS (Gerchberg-Saxton) algorithm. Parallel calculation is performed to speed up the calculation in the row direction and the previous EPH is used as the initial phase for the current EPH calculation in order to improve the display quality due to the great similarity between adjacent light field images. Two high-resolution phase-only holograms both with the size of 64 mm×64 mm and the resolution of 200k×200k pixels were calculated and printed by our homemade holographic printer. The full-parallax and high quality 3D displays were verified by optical experiments, which have the potential to be applied in holographic advertising and other fields. [ABSTRACT FROM AUTHOR]

Signal acquisition from mechanical systems working in faulty conditions is normally expensive. As a consequence, supervised learning-based approaches are hardly applicable. To address this problem, a one-shot learning-based approach is proposed for multiclass classification of signals coming from a feature space created only from healthy condition signals and one single sample for each faulty class. First, a transformation mapping between the input signal space and a feature space is learned through a bidirectional generative adversarial network. Next, the identification of different health condition regions in this feature space is carried out by means of a single input signal per fault. The method is applied to three fault diagnosis problems of a three-dimensional printer and outperforms other methods in the literature. [ABSTRACT FROM AUTHOR]

Screws are often used to connect 3-D printed parts to other objects. When screwing directly into printed plastic, the reliability is limited, and the connection can wear out over time. For more reliable connections, standard metal nuts are often inserted into slots designed into the object. This article presents an approach where nuts and other ferromagnetic components are integrated directly into the part while printing it. Our prototype machine is a modified Prusa-I3 fused filament fabrication printer with an electromagnetic pick and place tool. We introduce augmented slicing software, where the user can insert generic component models from a library and place them at arbitrary positions in the object. Cavities for the components and additional G-code commands for robotic placing are automatically generated and sent to the printer. A printed component tray is attached to the printbed, allowing different part configurations for each print. The pick and place unit is controlled by our OctoPrint plugin OctoPNP. [ABSTRACT FROM AUTHOR]

With the advent of additive manufacturing and a flurry of new-generation, three-dimensional (3D) printers that hit the market in the early 2000s, biomedical innovators began envisioning the technology as a way to replace damaged or diseased tissue and organs with on-demand, printed parts –. The path from vision to reality was not quite as quick or easy as many anticipated, but research groups today are making headway to keep the technology moving toward its goal. [ABSTRACT FROM AUTHOR]

To address the increasing challenges of counterfeit detection and IP protection for 3D printing, we propose that every 3D printer holds unique fingerprinting features characterized by the thermodynamic properties of the extruder hot-end and can be used as a new way of 3D watermarking. We prove that these physical fingerprints resulting from manufacturing imperfections and system variations exhibit distinct heating responses, namely “ThermoTag,” which can be represented as the distinguishable thermodynamic processes and, ultimately, the temperature readings during the preheating process. Experimental results show that, by only changing the hot-ends of the same model on the same 3D printer, we can achieve about 92% identification accuracy amongst 45 hot-ends. The permanence and robustness of ThermoTag for the same hot-end were examined, throughout a period of one month with hundreds of trials under different environmental temperature settings. Leveraging the hidden ThermoTag, an example of watermarking scheme in 3D printing is presented and evaluated. [ABSTRACT FROM AUTHOR]

Der aus Posen am 14. März 1879 gebürtige Leon Trzebiński war Drucker von Beruf und arbeitete sein ganzes Leben lang in typografischen Betrieben in mehreren Städten. 1900 zog er für kurze Zeit nach Thorn um und verband sich mit der Druckerei Sylwester Buszczyńskis. Als verantwortlicher Redakteur in Pommerellen unterzeichnete er die Nummern von „Gazeta Toruńska“ (von Nr. 78 vom 4. April bis zu Nr. 112 vom 16. Mai 1901) und „Przyjaciel“ (von Nr. 42 vom 6. April bis zu Nr. 59 vom 16. Mai 1901). In den darauffolgenden Jahren war er beschäftigt in Bochum in Westfalen, Graudenz, Dortmund und anderen deutschen Städten. Nach dem Ersten Weltkrieg leitete er die Druckerei in Lissa, wurde Eigentümer eines typografischen Betriebs in Rawicz, und kurz vor dem Ausbruch des Zweiten Weltkrieges kaufte er die Druckerei in Lida (heute Weißrussland). Nach dem Krieg kehrte er nach Großpolen zurück und wurde in den Betrieben in Hirschberg und Fraustadt angestellt. In der letztgenannten Stadt verstarb er am 9. Dezember 1956.

The attempt to analyze and show the important role of Lviv printers and to describe their role in the development of Galician society has been made in the article. This attempt has been made on the basis of documents, the principle of historicism, scientific and objective approach. The importance and problematic of the comprehensive study of the oldest history of the creation, formation and development of Lviv printers’ professional co-operation of mutual assistance has been highlighted, and the history and activities of this organization in stages have been described. In general, trade unions emerged as an independent united self-defense organizations and they were formed in the form of workers’ associations and mutual assistance funds. During the first half of the nineteenth century the crystallization of the activities of trade unions happened under the influence of various measures, hold by the administrations, the police and the authorities. This contributed to the further unification of labor and the creation of all-city union of printers in Lviv. It is quite logical that the basis of their actions was their desire to achieve and get the working solidarity, mutual support and assistance. The activities of the trade union were regulated by the statutes. First of all, the purpose of the establishment and operation of the organization was socio-economic, cultural and educational ones. Those purposes were approved by the relevant state authorities and, thus, prevented trade unions from participating in political life. The short period of the 1860-1880s can be considered to be a separate stage in the process of the formation of the mass trade union movement in Galicia. Together with the trade unions of printers, settlers, brokers, masons, carpenters, builders, tanneries, metal workers, doctors, pharmacists, tradesmen, postmen, civil servants, lawyers and many others united and became active partners of the region. The problem, which has been investigated in the article, has a valuable scientific significance as it allows to solve one of the most important issues: to get the historical understanding of activities of Lviv trade union organizations, which have not been thoroughly studied yet.

This article presents a viable approach to mobile 3-D printing in which a large object is printed in segments. The printer's motion between printing each segment is localized precisely using the novel procedure of simultaneous localization and additive manufacturing (SLAAM), enabling the joining of subsequent segments while also maintaining overall geometric compliance of the printed part. SLAAM achieves sub-mm accuracy on objects over 400 mm long. SLAAM demonstrates the importance of fusing local (3-D scanner), and global (total-station range finder) sensing, and of maintaining, and updating estimates of the printed part geometry in a global frame. A six-parameter representation for a printed object's planar surfaces, consisting of the plane's normal vector, and a 3-D point on the planar patch itself, demonstrates good performance even in the presence of high odometry error. [ABSTRACT FROM AUTHOR]

During development of the Standard Lithuanian language at the end of the 19th century, the dialectal basis was chosen first, and the orthography varied yet for another twenty years. This article analyses the dual orthography – of books and personal orthography of their authors. The study is designed to find out whether the books published during that period reflect the orthographic model chosen by their authors; what factors, in addition to the author’s choice, may have influenced the orthography of the books. The influence of printers on the orthography of books during that period was smaller than before, as many authors did the proofreading themselves. Thus, printers were able to change the orthography in cases where books were printed without the author’s knowledge or consent, such as prayer books. If the author chose unusual, rare, or even self-invented characters, a limited inventory of prints could be a serious obstacle to keep their orthography in the book. As the case of Jonas Basanavičius shows, even when the author offered to finance the acquisition of the necessary prints, this was not necessarily done. At the end of the 19th century, books were published as supplements to periodicals. The editors of newspapers Ūkininkas and Tėvynės sargas adapted the orthography of such books to their periodicals. Under the terms of the press ban, it was often important for authors just to print a book, and the spelling model was chosen by the publisher. However, authors such as Basanavičius, who considered themselves the creators of the standard language, took care to present their chosen or created model of orthography in their books as well. As the cases of Liudvika Didžiulienė, Dominykas Tumėnas and Basanavičius show, two orthographic standards emerged during the research period: correspondence was written one way and books were printed another. Hence, it is not always possible to judge the orthographic model chosen by the authors in books published at the end of the 19th century and the early 20th century.

In the current industrial revolution, additive manufacturing (AM) embodies a promising technology that can enhance the effectiveness, adaptability, and competitiveness of supply chains (SCs). Moreover, it facilitates the development of distributed SCs, thereby enhancing product availability, inventory levels, and lead time. However, the wide adoption of AM in industrial SCs creates various challenges, leading to new difficulties for SC design. In this context, this article proposes a new design approach to AM SCs using optimization methods. More specifically, the proposed approach, comprising the $p$ -median and mixed-integer linear programming models, considers the decision of deploying productive resources (3-D printers) in specific locations of generic spare part SCs. The approach was evaluated in a real-world use case of an elevator maintenance service provider. The obtained results demonstrated the promising capabilities of the proposed design approach in managing the challenges arising from the forthcoming widespread use of 3-D printers in manufacturing SCs. [ABSTRACT FROM AUTHOR]

Design is a state of coexistence between the designer and user with space in which the origin of a space dimensions. To reach the spatial mass of the interior design environment. Looking at the structure of the design, we see that there is a dependence on the principles of construction and addition for space to create the mass, reduction and deletion of the block already to reach the final form This is in addition to taking into account other elements including material and technology, , which will put the design in the framework of facilitating the user to reach the design status within the framework of the function , both theoretical , aesthetic and psychological designIn some cases, the designer collides with the problem of dialogue between the structural formation and the structural technique of design. Of the liberation of this composition and creativity ,Or that Formal formation Overwhelmed on the utilitarian and sustainable use, This is reflected in architectural and internal design based on organic and curved lines and furniture We find that some traditional methods with raw material put some obstacles to the embodiment of the design idea In the various fields of industry, the emergence of techniques that adopt the concept of 2D and 3D coordinates has recently been shown in parallel Which is the basis of the concept of addition as the situation in the printers triangular Or the concept of reduction as well as in the three-dimensional raster and the three-dimensional scanning techniques Which enables simulation of the design in combination with the above techniques ( Nanotechnology)In the embodiment of the creativity design according to specific in the materials to be used.. The research aims at shedding light on the possibility of the embodiment idea of interior design and furniture through modern technologies, And related to the advanced industries to achieve a successful design in terms of formality, construction and economic . It can be applied to the principle of quantitative production With the aim of developing the national economy While preserving cultural heritage and making use of the academic field. . In this study, the results of construction techniques, addition and simulation of 3D scanning and printing.

We propose a new blind watermarking algorithm for 3D printed objects that has applications in metadata embedding, robotic grasping, counterfeit prevention, and crime investigation. Our method can be used on fused deposition modeling (FDM) 3D printers and works by modifying the printed layer thickness on small patches of the surface of an object. These patches can be applied to multiple regions of the object, thereby making it resistant to various attacks such as cropping, local deformation, local surface degradation, or printing errors. The novelties of our method are the use of the thickness of printed layers as a one-dimensional carrier signal to embed data, the minimization of distortion by only modifying the layers locally, and one-shot detection using a common paper scanner. To correct encoding or decoding errors, our method combines multiple patches and uses a 2D parity check to estimate the error probability of each bit to obtain a higher correction rate than a naive majority vote. The parity bits included in the patches have a double purpose because, in addition to error detection, they are also used to identify the orientation of the patches. In our experiments, we successfully embedded a watermark into flat surfaces of 3D objects with various filament colors using a standard FDM 3D printer, extracted it using a common 2D paper scanner and evaluated the sensitivity to surface degradation and signal amplitude. [ABSTRACT FROM AUTHOR]

We demonstrate a new fabrication technology to realize “intelligent”, transdermal, minimally invasive microneedle array (i $\mu $ NA) by crosslinking a hydrogel, Polyethylene Glycol Diacrylate (PEGDA) by photo-polymerization using Digital Light Processing (DLP) based 3D printing. The photo-polymerization conditions have been optimized so that the mutually exclusive requirements of excellent mechanical strength while retaining hydrogel properties of PEGDA are met which would allow swelling/delivery of therapeutic cargo of diclofenac sodium via diffusion. An array having 100 microneedles arranged in a $10\times 10$ array was successfully 3D printed which efficiently penetrated human skin during ex vivo characterization. In vitro drug release studies demonstrated that the PEGDA based i $\mu $ NA behaves as a stimuli responsive device showing distinct release characteristics from external stimuli such as temperature and pH. [2020-0133] [ABSTRACT FROM AUTHOR]

Additive manufacturing has been increasingly applied. As one of the most commonly used technologies, fused deposition modeling (FDM) still faces the challenge of instable performance. The appearance of the printed part is an important feature to assess its quality. As FDM processes usually take a long time, it is very important to timely identify the defects to avoid unnecessary waste of time and cost. At current stage, this identification work is usually done by the operators. However, it is difficult to realize continuous monitoring for multiple printers and identify surface defects shortly. With the advanced artificial intelligence techniques, a vision-based adaptive monitoring system is proposed in this article to achieve online monitoring with high efficiency and accuracy. The system design is introduced for common FDM printers that allows one camera to move to different angles and capture the images of the printing part. A heuristic algorithm is then proposed to achieve adaptive shooting position planning according to the part geometries. Furthermore, a convolutional neural network-based model is designed to achieve efficient defect classification with high accuracy. A series of experiments have been conducted to illustrate the effectiveness of the proposed system. [ABSTRACT FROM AUTHOR]

The filtered basis functions (FBF) approach is gaining interest for feedforward tracking control of linear, especially, nonminimum phase systems. It expresses the control input to the plant as a linear combination of basis functions with unknown coefficients. The basis functions are forward filtered through the plant dynamics and the coefficients are selected such that the tracking error is minimized. This article proposes a robust FBF approach for tracking control of linear time invariant systems with known uncertainty. A robust filter is formulated as the inverse of an optimal controller that minimizes a frequency-domain cost function over the known uncertainty. The proposed robust FBF approach filters the basis functions using the robust filter in lieu of the nominal plant dynamics. Stability issues associated with the robust filter are discussed, as are the incorporation of dynamic uncertainty into the robust filter. Applied to a vibration-prone desktop 3-D printer with dynamic uncertainty, significant improvements in tracking accuracy are demonstrated using the robust FBF approach compared to the standard FBF approach. [ABSTRACT FROM AUTHOR]

Fabricatable Machines is a toolkit for rapidly designing and making robust, computer-controlled machines. The project demonstrates a future where fabrication tools can be scaled, altered, and customized for the use and fluency of the maker. [ABSTRACT FROM AUTHOR]

We report novel, low-cost, high-temperature compatible, high-pressure compatible, and chemically resistant additively manufactured microfluidics. The devices were monolithically fabricated by extruding silver clay with a fused filament fabrication 3D printer frame fitted with a syringe extruder, followed by annealing at 885 °C in air. Analysis of the printable feedstock shows that the green material is an alloy composed of silver and copper microparticles blended with an organic binder matrix, while analysis of printed and annealed samples shows that the material is completely free of binder and compatible with at least 800 °C operation. Characterization of the thermal, electrical, and mechanical properties of printed and annealed structures yields values close to those of bulk sterling silver, except for a significantly smaller Young’s modulus. Metrology of test structures evidences linearity between printed dimensions and computer-aided design values. Layers as thin as $150~\mu \text{m}$ and working, watertight closed channels as narrow as $200~\mu \text{m}$ were consistently resolved. A proof-of-concept microfluidic that catalytically decomposes hydrogen peroxide was designed, fabricated, and characterized; the experimental performance of the catalytic microreactor is in agreement with reduced-order modeling. [2019-0267] [ABSTRACT FROM AUTHOR]

This paper presents a novel active marker for dynamic projection mapping (PM) that emits a temporal blinking pattern of infrared (IR) light representing its ID. We used a multi-material three dimensional (3D) printer to fabricate a projection object with optical fibers that can guide IR light from LEDs attached on the bottom of the object. The aperture of an optical fiber is typically very small; thus, it is unnoticeable to human observers under projection and can be placed on a strongly curved part of a projection surface. In addition, the working range of our system can be larger than previous marker-based methods as the blinking patterns can theoretically be recognized by a camera placed at a wide range of distances from markers. We propose an automatic marker placement algorithm to spread multiple active markers over the surface of a projection object such that its pose can be robustly estimated using captured images from arbitrary directions. We also propose an optimization framework for determining the routes of the optical fibers in such a way that collisions of the fibers can be avoided while minimizing the loss of light intensity in the fibers. Through experiments conducted using three fabricated objects containing strongly curved surfaces, we confirmed that the proposed method can achieve accurate dynamic PMs in a significantly wide working range. [ABSTRACT FROM AUTHOR]

We present a method for fabricating general models with multi-directional 3-D printing systems by printing different model regions along with different directions. The core of our method is a support-effective volume decomposition algorithm that minimizes the area of the regions with large overhangs. A beam-guided searching algorithm with manufacturing constraints determines the optimal volume decomposition, which is represented by a sequence of clipping planes. While current approaches require manually assembling separate components into a final model, our algorithm allows for directly printing the final model in a single pass. It can also be applied to models with loops and handles. A supplementary algorithm generates special supporting structures for models where supporting structures for large overhangs cannot be eliminated. We verify the effectiveness of our method using two hardware systems: a Cartesian-motion-based system and an angular-motion-based system. A variety of 3-D models have been successfully fabricated on these systems. Note to Practitioners—In conventional planar-layer-based 3-D printing systems, supporting structures need to be added at the bottom of large overhanging regions to prevent material collapse. Supporting structures used in single-material 3-D printing technologies have three major problems: being difficult to remove, introducing surface damage, and wasting material. This article introduces a method to improve 3-D printing by adding rotation during the manufacturing process. To keep the hardware system relatively inexpensive, the hardware, called a multi-directional 3-D printing system, only needs to provide unsynchronized rotations. In this system, models are subdivided into different regions, and then, the regions are printed in different directions. We develop a general volume decomposition algorithm for effectively reducing the area that needs supporting structures. When supporting structures cannot be eliminated, we provide a supplementary algorithm for generating supports compatible with multi-directional 3-D printing. Our method can speed up the process of 3-D printing by saving time in producing and removing supports. [ABSTRACT FROM AUTHOR]

Microfluidics deals with fluid flow in micron-sized channels. At least one characteristic dimension of these fluid-carrying channels is in the micron scale (typically from 1 μm to several hundreds of μm), resulting in flows with very small (typically, < 1) Reynolds numbers [1]. The scaling down of the channel dimensions leads to some unique features, such as laminar flow, rapid diffusion, rapid heat transfer, and large surface-area-to-volume ratios. [ABSTRACT FROM AUTHOR]

We present the design, evolution and analysis of “Hapkit,” a low-cost, open-source kinesthetic haptic device for use in educational applications. Hapkit was developed in 2013 based on the design of the Stanford Haptic Paddle, with the goal of decreasing cost and increasing accessibility for educational applications, including online teaching, K-12 school use, and college dynamic systems and control courses. In order to develop Hapkit for these purposes, we tested a variety of transmission, actuation, and structural materials. Hapkit 3.0, the latest version, uses a capstan drive, inexpensive DC motor, and 3-D printed structural materials. A frequency-domain system identification method was used to characterize Hapkit dynamics across the various designs. This method was validated using a first principles parameter measurement and a transient response analysis. This characterization shows that Hapkit 3.0 has lower damping and Coulomb friction than previous designs. We also performed a user study demonstrating that Hapkit 3.0 improves discrimination of virtual stiffness compared to previous designs. The design evolution of Hapkit resulted in a low-cost, high-performance device appropriate for open-source dissemination and educational applications. [ABSTRACT FROM AUTHOR]

Fault diagnosis is of importance to guarantee the printing quality and to avoid unexpected downtime for 3-D printers. In this paper, a sparse echo autoencoder network (SEAEN) is proposed for the fault diagnosis of delta 3-D printers using attitude data. Considering the practicality and economy of the fault diagnosis, the attitude data, including three-axial angular velocity signals, three-axial vibratory acceleration ones, and three-axial magnetic field intensity ones, are collected by installing a low-cost attitude sensor on the moving platform of the delta 3-D printer. However, the low-cost sensor will increase the chaos of the attitude data. To make up this deficiency, the SEAEN approach featuring a sparse autoencoder (SAE) combined with an echo state network (ESN) is designed for the fault diagnosis. The SAE is employed to automatically learn features from the high-dimensional attitude data of the delta 3-D printer, while the ESN is used for fault recognition based on the extracted features. The diagnosis performance of the address approach was evaluated in the experiments and its superiority was demonstrated through comparing with other intelligent fault diagnosis techniques. [ABSTRACT FROM AUTHOR]

In recent years, there has been increasing interest in using additive manufacturing (3D printing) technology to fabricate sensors and actuators due to rapid prototyping, low-cost manufacturing processes, customized features and the ability to create complex geometries at micrometre scale. State of the art additive manufactured acoustic and ultrasonic transducers show limitations in miniaturization, repeatability (defects) and sensitivity. This new work encompasses the development of a capacitive acoustic and ultrasonic transducer, including its fabrication process using a commercial digital light processing printer and output signal characterization with a custom-made amplification circuit. A set of capacitive acoustic and ultrasonic transducers was fabricated and tested using different diaphragm diameters from 1.8 – 2.2 mm, for comparison, with central operating frequency between 19 – 54 kHz, respectively. This capacitive transducer design has a receiving sensitivity of up to ${0.4} ~\textit {mV}/\textit {Pa}$ at its resonant frequency, and a comparison with a commercial reference microphone is provided. [ABSTRACT FROM AUTHOR]

An echo state network (ESN) is a type of recurrent neural network that is good at processing time-series data with dynamic behavior. However, the use of ESNs to enhance fault-classification accuracy continues to be challenging when the condition signals are collected by low-cost sensors. In this paper, a deep network algorithm, called a deep hybrid state network (DHSN), is proposed for fault diagnosis of three-dimensional printers using attitude data with low measurement precision. In the DHSN, the output data of a sparse auto-encoder are regarded as the abstract features of a double-structured ESN (DESN). The DESN is designed for feature reinforcement and fault recognition, wherein the first function reinforces the features and the second is used for fault classification. More specifically, feature reinforcement is developed to improve the clustering performance and replace the traditional overall feedback fine-tuning in deep models. This strategy improves learning efficiency and overcomes the vanishing-gradient problem for deep learning. The forecasting performance of the proposed approach is evaluated in experiments, and its superiority is demonstrated through comparison with other intelligent fault-diagnosis technologies. [ABSTRACT FROM AUTHOR]

Background: Using engineered nanomaterial-based toners, laser printers generate aerosols with alarming levels of nanoparticles that bear high bioactivity and potential health risks. Yet, the cardiac impacts of printer-emitted particles (PEPs) are unknown. Inhalation of particulate matter (PM) promotes cardiovascular morbidity and mortality, and ultra-fine particulates (< 0.1 μm aerodynamic diameter) may bear toxicity unique from larger particles. Toxicological studies suggest that PM impairs left ventricular (LV) performance; however, such investigations have heretofore required animal restraint, anesthesia, or ex vivo preparations that can confound physiologic endpoints and/or prohibit LV mechanical assessments during exposure. To assess the acute and chronic effects of PEPs on cardiac physiology, male Sprague Dawley rats were exposed to PEPs (21 days, 5 h/day) while monitoring LV pressure (LVP) and electrocardiogram (ECG) via conscious telemetry, analyzing LVP and heart rate variability (HRV) in four-day increments from exposure days 1 to 21, as well as ECG and baroreflex sensitivity. At 2, 35, and 70 days after PEPs exposure ceased, rats received stress tests. Results: On day 21 of exposure, PEPs significantly (P < 0.05 vs. Air) increased LV end systolic pressure (LVESP, + 18 mmHg) and rate-pressure-product (+ 19%), and decreased HRV indicating sympathetic dominance (root means squared of successive differences [RMSSD], − 21%). Overall, PEPs decreased LV ejection time (− 9%), relaxation time (− 3%), tau (− 5%), RMSSD (− 21%), and P-wave duration (− 9%). PEPs increased QTc interval (+ 5%) and low:high frequency HRV (+ 24%; all P < 0.05 vs. Air), while tending to decrease baroreflex sensitivity and contractility index (− 15% and − 3%, P < 0.10 vs. Air). Relative to Air, at both 2 and 35 days after PEPs, ventricular arrhythmias increased, and at 70 days post-exposure LVESP increased. PEPs impaired ventricular repolarization at 2 and 35 days post-exposure, but only during stress tests. At 72 days post-exposure, PEPs increased urinary dopamine 5-fold and protein expression of ventricular repolarizing channels, Kv1.5, Kv4.2, and Kv7.1, by 50%. Conclusions: Our findings suggest exposure to PEPs increases cardiovascular risk by augmenting sympathetic influence, impairing ventricular performance and repolarization, and inducing hypertension and arrhythmia. PEPs may present significant health risks through adverse cardiovascular effects, especially in occupational settings, among susceptible individuals, and with long-term exposure. [ABSTRACT FROM AUTHOR]

The knowledge of the source printer can help in printed text document authentication, copyright ownership, and provide important clues about the author of a fraudulent document along with his/her potential means and motives. The development of automated systems for classifying printed documents based on their source printer, using image processing techniques, is gaining a lot of attention in multimedia forensics. Currently, the state-of-the-art systems require that the font of letters present in the test documents of unknown origin must be available in those used for training the classifier. In this paper, we attempt to take the first step toward overcoming this limitation. Specifically, we introduce a novel printer specific local texture descriptor. The highlight of our technique is the use of encoding and regrouping strategy based on small linear-shaped structures composed of pixels having similar intensity and gradient. The results of experiments performed on two separate datasets show that: 1) on a publicly available dataset, the proposed method outperforms state-of-the-art algorithms for characters printed in the same font and reduces the confusion between the printers of same brand and model on another dataset having documents printed in four different fonts, the proposed method outperforms state-of-the-art methods for cross font experiments. [ABSTRACT FROM AUTHOR]