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Mvelase, Promise, Nomusa Dlodlo, Quentin Williams e Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises". International Journal of Cloud Applications and Computing 1, n. 3 (luglio 2011): 52–63. http://dx.doi.org/10.4018/ijcac.2011070105.
Abstract (sommario):
Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.
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Oliveira, Douglas Voss de, José Thiers Carneiro Junior, Eber Coelho Paraguassu e Luis Raimundo Serra Rabelo. "Ankylosed joint replacement with custom total joint prosthesis and custom miniplates." Research, Society and Development 9, n. 6 (9 aprile 2020): e15963095. http://dx.doi.org/10.33448/rsd-v9i6.3095.
Abstract (sommario):
When managing a severely ankylosed joint in a patient with a history of multiple previous operations since the development phase, it is necessary besides the total joint replacement also the orthognathic surgery. Miniplates and total joint custom-made prosthesis are the state of arts in accuracy and precision; therefore use them concurrently in a complex surgery, such this, is a suitable treatment option. A 44-year-old male patient with bilateral temporomandibular joint ankylosis where the TMJ architecture was completely replaced by a large bone mass was treated through orthognathic surgery with customized cutting guides and customized material for maxilla, jaw and chin fixation, in addition to the installation of two complete custom-made joint-prosthesis in one-stage surgery. This is the first report in the literature using custom Miniplates and Joint-Prosthesis for treatment of Ankylosis. The treatment was successful and the patient benefited from adequate aesthetics and function.
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Sonar, Prasanna Ravindra, e Aarati S. Panchbhai. "Rehabilitation of Partially Edentulous Esthetic Zone with Custom-made Abutment in Young Patient". Journal of Datta Meghe Institute of Medical Sciences University 18, n. 4 (2023): 783–86. http://dx.doi.org/10.4103/jdmimsu.jdmimsu_423_23.
Abstract (sommario):
Abstract Implant positioning plays an important role in giving esthetics as well as in proper functioning of prosthesis. To achieve the best results, extensive evaluation and treatment planning are necessary for placing dental implants in an esthetically pleasing area. Important factors include the soft-tissue architecture, bone quantity and quality in both the horizontal and vertical planes. Thin labial cortical plate and gingival tissue in the upper anterior region are issues for esthetic outcomes. The use of high-performance ceramic material, the ability to customize the position, the angulation, the emergence profile, and the future position of the crown margin of the final restoration are all advantages of the custom abutment. Many cases of correcting the divergence between implants in total rehabilitation of the maxilla or mandible or in screw-retained single crowns are mentioned in the literature. This case report describes prosthetic rehabilitation of missing lateral teeth with customized abutments in young patients.
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Manataki, Merope, Nikos Papadopoulos, Nikolaos Schetakis e Alessio Di Iorio. "Exploring Deep Learning Models on GPR Data: A Comparative Study of AlexNet and VGG on a Dataset from Archaeological Sites". Remote Sensing 15, n. 12 (20 giugno 2023): 3193. http://dx.doi.org/10.3390/rs15123193.
Abstract (sommario):
This comparative study evaluates the performance of three popular deep learning architectures, AlexNet, VGG-16, and VGG-19, on a custom-made dataset of GPR C-scans collected from several archaeological sites. The introduced dataset has 15,000 training images and 3750 test images assigned to three classes: Anomaly, Noise, and Structure. The aim is to assess the performance of the selected architectures applied to the custom dataset and examine the potential gains of using deeper and more complex architectures. Further, this study aims to improve the training dataset using augmentation techniques. For the comparisons, learning curves, confusion matrices, precision, recall, and f1-score metrics are employed. The Grad-CAM technique is also used to gain insights into the models’ learning. The results suggest that using more convolutional layers improves overall performance. Further, augmentation techniques can also be used to increase the dataset volume without causing overfitting. In more detail, the best-obtained model was trained using VGG-19 architecture and the modified dataset, where the training samples were raised to 60,000 images through augmentation techniques. This model reached a classification accuracy of 94.12% on an evaluation set with 170 unseen data.
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SASTRY, RAGHU, e N. RANGANATHAN. "PMAC: A POLYGON MATCHING CHIP". International Journal of Pattern Recognition and Artificial Intelligence 09, n. 02 (aprile 1995): 367–85. http://dx.doi.org/10.1142/s0218001495000171.
Abstract (sommario):
The recognition of polygons in 3-D space is an important task in robot vision. Advances in VLSI technology have now made it possible to implement inexpensive, efficient and very fast custom designs. The authors have earlier proposed a class of VLSI architectures for this computationally intensive task, which makes use of a set of local shape descriptors for polygons which are invariant under affine transformations, i.e. translation, scaling, rotation and orthographic projection from 3-D to any 2-D plane. This paper discusses the design and implementation of PMAC, a prototype for polygon matching, as a custom CMOS VLSI chip. The recognition procedure is based on the matching of edge-length ratios using a simplified version of the dynamic programming procedure commonly employed for string matching. The matching procedure also copes with partial occlusions of polygons. The implemented architecture is systolic and fully utilizes the principles of pipelining and parallelism in order to obtain high speed and throughput.
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Gopal, Venu, Praveen Ganesh, Muralidhara Nagarjuna, Kiran Kumar, Samarth Shetty e Paul C. Salins. "Custom made orthotic device for maintaining skull architecture during the postoperative period in infants undergoing craniosynostosis surgery". Journal of Oral Biology and Craniofacial Research 5, n. 2 (maggio 2015): 75–80. http://dx.doi.org/10.1016/j.jobcr.2015.04.004.
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Lehrer, Ute Angelika. "Images of the Periphery: The Architecture of Flex Space in Switzerland". Environment and Planning D: Society and Space 12, n. 2 (aprile 1994): 187–205. http://dx.doi.org/10.1068/d120187.
Abstract (sommario):
The peripheries of Swiss cities are currently being restructured at an unprecedented pace. Specifically, new commercial and office developments are mushrooming along the major traffic arteries. Peripheral centers without a center have sprung up. In this paper, urban forms are described in relation to the architectural form. The new urban form comes with a specific aesthetic programme: the architecture and the planning design of the industrial and office centers in the periphery defy the mass-produced built environment of earlier suburbanization. Rather, ‘individualized’ architectural designs lend themselves to custom-made commercialization of the new urban landscape. Buildings increasingly become billboards which are strategically placed along freeways and rail lines. Finally, in what seems a marked difference to automobile-based peripheral centralization in North America and other parts of Europe, the Swiss example depends heavily on a state-managed expansion of the railroads and light-rail systems.
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Jakeš, Erik. "Glass Fibre Reinforced Concrete Products for Construction Industry and Architecture". Applied Mechanics and Materials 820 (gennaio 2016): 75–80. http://dx.doi.org/10.4028/www.scientific.net/amm.820.75.
Abstract (sommario):
Glass fibre reinforced concrete is a material which found its undisputable place in architecture and construction industry. Architecture has been using its creativity potential at building atypical elements of a specific building and the needed detail. This specific material enables unusual geometrical shapes, curves and surfaces. It is able to create custom-made original works. It is not a material which is used to make the products competitive with their price and serial production etc. It wants to be original, offers new challenges and provide new forms of its application to the people. The paper describes selected glass fibre reinforced concrete products which can serve as examples of new components creation to the producers and architects.
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Jo, Yong Hwan, Se Yeon Cho e Byoung Wook Choi. "Towards a ROS2-based software architecture for service robots". Bulletin of Electrical Engineering and Informatics 12, n. 5 (1 ottobre 2023): 3027–38. http://dx.doi.org/10.11591/eei.v12i5.5590.
Abstract (sommario):
This paper presents a scalable software architecture based on robot operating system 2 (ROS2) for service robots. ROS2 supports the data distribution service (DDS) protocol that provides benefits such as real-time operation and security and performance enhancements. However, ROS2 still lacks task management capabilities, essential for practical robotic applications consisting of multiple threads and processes. Moreover, integrating new devices into ROS2 requires additional development effort to create specific drivers for specific devices. The proposed software architecture addresses these drawbacks and provides a simple and user-friendly programming interface for easier integrating of various devices and existing ROS2 applications. Moreover, it is designed using python with multi-processing to avoid issues related to the python global interrupt lock (GIL). To verify the developed software architecture, an application for a custom-made service robot called the SeoulTech service robot (SSR) is implemented on a Jetson Xavier NX board with various features, such as ROS2 navigation and SLAM, text-to-speech (TTS), speech recognition, and face recognition.
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Hummel, Karin, Manuela Pollak e Johannes Krahofer. "A Distributed Architecture for Human-Drone Teaming: Timing Challenges and Interaction Opportunities". Sensors 19, n. 6 (20 marzo 2019): 1379. http://dx.doi.org/10.3390/s19061379.
Abstract (sommario):
Drones are expected to operate autonomously, yet they will also interact with humans to solve tasks together. To support civilian human-drone teams, we propose a distributed architecture where sophisticated operations such as image recognition, coordination with humans, and flight-control decisions are made, not on-board the drone, but remotely. The benefits of such an architecture are the increased computational power available for image recognition and the possibility to integrate interfaces for humans. On the downside, communication is necessary, resulting in the delayed reception of commands. In this article, we discuss the design considerations of the distributed approach, a sample implementation on a smartphone, and an application to the concrete use case of bookshelf inventory. Further, we report experimentally-derived first insights into messaging and command response delays with a custom drone connected through Wi-Fi.
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Miķelsone, Ilze. "CUSTOM-MADE PATCHWORK LANDSCAPE: ENTREPRENEURIAL AND PRIVATE REGIONALISM / PAGAL UŽSAKYMĄ PAGAMINTA MOZAIKA: VERSLO IR PRIVATUS REGIONALIZMAS". Mokslas – Lietuvos ateitis 6, n. 3 (22 maggio 2014): 290–302. http://dx.doi.org/10.3846/mla.2014.41.
Abstract (sommario):
Regional identity as a subject of invented tradition is continuously updated in whole Europe; this process is especially regular in cultures of small populations, such as Latvia. It is a multilayered term, which involves a continuously changing main value-focus and numerous disciplines, including architecture. One of the ways to look at it realistically is to analyze the visually represented main hegemonic values and processes in society. Appropriate platform for this is provided by agglomeration expansion – fusion spots of the urban and the rural, thus creating a characteristic local landscape. The aim of this article is to clarify core impacts on the regional identity formation of the landscape of Riga region as observed today. Methodology is based on the case study of Mārupe County, using RES (residential) landscape inventory, urban-morphology, photo-analytical and rhetoric problem-definition methodology. Major findings lead to a conclusion of unbalanced role between the state intervention and free trade system, based on the neoliberal ideology intensified in the transition – economy zone. Thus regional spatial identity has mostly failed following any professional standards, but has rather developed as clusters with residential function, mostly under the strong impact of the market economy and entrepreneurship. Regioninis identitetas kaip naujai išrastos tradicijos samprata yra nuolatos atnaujinama visoje Europoje; šis procesas yra ypač dėsningas tokių nedidelių šalių, kaip Latvija, kultūrose. Tai daugiasluoksnis reiškinys, apimantis besikeičiančias, į vertybes orientuotas disciplinas, taip pat ir architektūrą. Vienas iš būdų į tai žiūrėti realistiškai – analizuoti vizualiai reprezentuotas pagrindines hegemonines vertybes ir procesus visuomenėje. Tam tikrą platformą šiam reiškiniui teikia aglomeracijos plėtra – miestietiškumo ir kaimiškumo sintezė, kurianti charakteringą vietinį kraštovaizdį. Šio straipsnio tikslas – išsiaiškinti nūdienos Rygos regiono kraštovaizdžio esminį poveikį regioninio identiteto formavimui. Metodologija yra pagrįsta Mārupe apygardos tyrimu, kuriam naudotas RES (gyvenamojo) kraštovaizdžio aprašo, miestų morfologijos, fotoanalitinis ir retorinis problemos įvardijimo metodai. Tyrimo rezultatai veda prie išvados, kad valstybės įsikišimo vaidmuo ir laisvoji prekybos sistema, pagrįsta neoliberalia ideologija, nėra subalansuoti ir tai sustiprėja pereinamosios ekonomikos zonoje. Taigi regioninis erdvinis identitetas ne tikslingai grindžiamas profesionaliais standartais, o vystosi daugiau kaip gyvenamosios paskirties zonos, stipriai veikiamos rinkos ekonomikos ir verslo.
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Monasterio, David, Sebastian Jorquera, Franco Curotto, Camilo Espinoza, Ricardo Finger e Leonardo Bronfman. "A Proof of Concept Balanced Mixer with the use of a Digital IF Power Combiner to Improve LO Noise Rejection". Publications of the Astronomical Society of the Pacific 135, n. 1054 (1 dicembre 2023): 125003. http://dx.doi.org/10.1088/1538-3873/ad0789.
Abstract (sommario):
Abstract In this work we present a novel digital technique, that allows local oscillator (LO) noise cancellation using a digital power combiner in a balanced mixer receiver architecture. A theoretical analysis of the noise cancellation using the proposed technique is derived and a proof of concept experiment is made for the Ku-Band. This experiment includes the design and construction of a custom balanced mixer and an artificial noise source. Experimental results show a consistent noise temperature reduction in comparison with a full analog mixer, and in some cases reaching noise temperature levels similar to the receiver operating without the artificial LO noise.
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Rusnandar, Nandang. "ARSITEKTUR TRADISIONAL DI KASEPUHAN SINAR RESMI KABUPATEN SUKABUMI JAWA BARAT". Patanjala : Jurnal Penelitian Sejarah dan Budaya 6, n. 3 (1 settembre 2014): 413. http://dx.doi.org/10.30959/ptj.v6i3.172.
Abstract (sommario):
AbstrakKetertarikan pada penelitian ini didasarkan pada adanya kesinambungan bentuk arsitektur tradisional di Tatar Sunda yang memiliki kesamaan dalam segi arsitektural, namun memiliki ciri-ciri mandiri yang disesuaikan dengan tata aturan dan adat istiadat setempat. Kampung Kasepuhan Sinar Resmi, merupakan salah satu kampung adat di wilayah Kecamatan Cisolok Kabupaten Sukabumi. Salah satu karya yang dihasilkan oleh komunitas ini adalah bentuk arsitektur yang merupakan cerminan kuat dari latarbelakang budaya yang melingkupinya. Simbol-simbol yang mengandung tata nilai menjadi acuan mereka dalam bergerak hidup, sehingga nilai-nilai itulah yang dapat mempertahankan keutuhan arsitektur. Tujuan penelitian ini adalah untuk mendapatkan gambaran secara utuh dan mendalam tentang arsitektur serta mengungkap simbol dan nilai filosofis masyarakatnya. Metode penelitian adalah metode kualitatif dengan teknik pengumpulan data berupa observasi langsung dan wawancara. Arsitektur, merupakan buah karya yang tak lepas dari simbol dan nilai yang melekat pada masyarakat pendukungnya, sehingga tata cara pembangunan tidak ditinggalkan walaupun perubahan terus melanda. Keteguhan dalam mempertahankan adat ini menjadi ciri mandiri dalam menghasilkan bentuk arsitektur yang ada di Sinar Resmi. Abstract The interest in this research based on the relations between traditional architecture in Sudanese which have similarity in the shape of architecture, but they have a specific character adapted with the custom rules that they lived. Kasepuhan Sinar Resmi village is one of the traditional village in Cisolok sub-district, Sukabumi district. One of the works that they have made is the shape of architecture, it symbolize strong Sudanese character. The symbol which have values become a reference in facing their life, so that the values that can maintain the integrity of the architecture. The purposes of this research is to get the full picture and the depth of the architecture as well as revealing the symbol and the value of the philosophical community. The method of this research is qualitative, with direct observation and interview as a technique in collecting the data. Architecture as a masterpiece cannot separated from symbol and values in the society, so the procedures are not left even the changes continue to plague. Firmness in maintaining this custom became self-sufficient in generating characteristic architecture of Sinar Resmi village.
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Smirnov, Yuri, Dhiman Chakraborty, Alexander Solodkov e Siarhei Harkusha. "ATLAS Tile Calorimeter Conditions Database architecture and operations in Run 2". EPJ Web of Conferences 245 (2020): 02006. http://dx.doi.org/10.1051/epjconf/202024502006.
Abstract (sommario):
An overview of the Conditions Database (DB) structure for the hadronic Tile Calorimeter (TileCal), one of the sub-systems of the ATLAS detector at LHC, is presented. ATLAS Conditions DB stores the data on the ORACLE backend, and the design and implementation have been developed using the COOL (Conditions Objects for LCG) software package as a common persistency solution for the storage and management of the conditions data. TileCal conditions and calibration data are stored in 4 separate Databases, each with its own schema: TileCal Online and Offline DBs for data, DB for Monte Carlo simulation and Detector Control System (DCS) DB. In order to ensure smooth operation of the TileCal during data taking, experts perform the necessary calibrations, add the changes of detector status and other conditions data, prepare new conditions for data reprocessing and Monte Carlo production campaigns, and upload the new up-to-date information into DB using custom-made software tools. The procedure of TileCal conditions’ preparation, validation, uploading to DBs is described, and some DB-related statistics collected in Run 2 is presented.
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T, Thyagaraj, Keshava Prasanna e Hariprasad S A. "Custom Convolution Neural Network for Breast Cancer Detection". International Journal of Engineering and Advanced Technology 13, n. 2 (30 dicembre 2023): 22–29. http://dx.doi.org/10.35940/ijeat.b4334.1213223.
Abstract (sommario):
Breast cancer remains a serious global health issue. Leveraging the use of deep learning techniques, this study presents a custom Convolutional Neural Network (CNN) framework for the detection of breast cancer. With the specific objective of accurate classification of breast cancer, a framework is made to analyze high-dimensional medical image information. The CNN's architecture, which consists of specifically developed layers and activation components tailored for the categorization of breast cancer, is described in detail. Utilizing the BreakHis dataset, which comprises biopsy slide images of patients in a range of cancer stages, the model is trained and verified. Comparing our findings to conventional techniques, we find notable gains in sensitivity, specificity, and accuracy. Gray-Level Co-Occurrence Matrix (GLCM) features extracted from the BreakHis dataset was used to analyze the performance on sequential neural network, transfer learning and machine learning models. After analysis, we have proposed hybrid models of CNN-SVM, CNN-KNN, CNN-Logistic regression and achieved accuracy of about 95.2%.
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Castán, Marina, e Daniel Suárez. "Choreographed Soft Morphologies: exploring new ways of ideating soft architecture through material elasticity". Temes de Disseny, n. 34 (26 novembre 2018): 60–73. http://dx.doi.org/10.46467/tdd34.2018.60-73.
Abstract (sommario):
This research aims to contribute to the current field of architectural design by offering evidence of how a collaborative and embodied approach to soft architecture can inform a new physical-digital design process. Current design technologies (e.g. sensors, 3D scanners, procedural modelling software), together with the use of the body as a source for designing a space, offer new methods and tools for designing architecture (Hirschberg, Sayegh, Frühwirth and Zedlacher 2006). However, the potential for experiencing and digitally capturing a soft and elastic material interaction through the body as a dynamic system capable of informing soft architectural design has not yet been widely explored. By using the felt experience as a tool for design, we allow the material to express its qualities when activated by the body, revealing its form instead of it being imposed from outside (DeLanda 2015). Taking an embodied approach used in interaction design and fashion design (Loke and Robertson 2011; Wilde, Vallgårda, and Tomico 2017), this research proposes a hybrid method to explore a textile-body ontology as an entity that has the potential to design a space, along with the use of motion capture technology in an effort to re-connect the experiential (the body) with the architecture (the space).
Through a custom-made interface, made of soft and hard materials, we explored the dynamic and spatial qualities of material elasticity through choreographed body movements. The interface acts as a deformable space that can be shaped by the body, producing a collection of form expressions, ranging from subtle surface modifications to more prominent deformations. Such form-giving processes were captured in real time by three Kinect sensors, offering a distinct digital raw material that can be conveniently manipulated and translated into architectural simulations, validating the method as a new way to inform soft architectural design processes.
The findings showed that: 1) the direct experience of collaboratively interacting with a soft and elastic interface allows the identification of the dynamic qualities of the material in relation to oneself and others, facilitating an immediate spatial meaning-making process; 2) exploring the design of a soft and elastic space through choreography and motion capture technology contributes to the creation of augmented relational scales across physical and digital realms, proposing a new hybrid design method; 3) the soft and elastic interface becomes a new entity when shaped by the body (textile-body ontology) giving the opportunity for a variety of formal expressions and offering a source of digital raw material for architectural design.
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Brenner, M., L. Vandenabeele e S. Langenberg. "THE POTENTIAL OF REVERSE ENGINEERING AND DIGITAL FABRICATION FOR THE REPAIR OF HIGH-TECH ARCHITECTURE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2-2023 (24 giugno 2023): 303–9. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-2-2023-303-2023.
Abstract (sommario):
Abstract. Novel façade constructions and innovative load-bearing structures of the second half of the 20th century pose new challenges for maintenance and repair. The use of advanced technology, especially in High-Tech architecture, calls for the development of specific repair methods adapted to specific building materials and construction techniques. The conservation of these aging facades, often composed of custom-made metal components, requires the production of intricate spare parts to avoid unduly replacements. Digital fabrication presents a possible solution as it allows for the resource-efficient production of complex and non-planar geometries in small numbers while remaining cost-effective. The paper explores the use of photogrammetry and laser scanning to reverse engineer spare parts, as original plans are often missing or incomplete. A complete workflow for the fabrication of bespoke metal components is described using two examples of Swiss High-Tech architecture featuring challenging structural nodes and planar aluminum panels. Finally, the feasibility of remanufacturing spare parts is demonstrated with 3d-printed models.
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Pino, Javier del, Sunil Lalchand Khemchandani, Daniel Mayor-Duarte, Mario San-Miguel-Montesdeoca, Sergio Mateos-Angulo, Francisco de Arriba e María García. "A Ku-Band GaN-on-Si MMIC Power Amplifier with an Asymmetrical Output Combiner". Sensors 23, n. 14 (13 luglio 2023): 6377. http://dx.doi.org/10.3390/s23146377.
Abstract (sommario):
In this paper, a microwave monolithic integrated circuit (MMIC) high-power amplifier (HPA) for Ku-band active radar applications based on gallium nitride on silicon (GaN-on-Si) is presented. The design is based on a three-stage architecture and was implemented using the D01GH technology provided by OMMIC foundry. Details on the architecture definition and design process to maximize delivered power are provided along with stability and thermal analyses. To optimize the amplifier performance, an asymmetry was included at the output combiner. Experimental results show that the HPA achieves a 39.5 dBm pulsed-mode output power, a peak linear gain of 23 dB, a drain efficiency of 27%, and good input/output matching in the 16–19 GHz frequency range. The chip area is 5 × 3.5 mm2 and for the measurements was mounted on a custom-made module. These results demonstrate that GaN-on-Si-based Solid-State Power Amplifiers (SSPAs) can be used for the implementation of Ku-band active radars.
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Williams, Rua M., Kiana Alikhademi e Juan E. Gilbert. "Design of a toolkit for real-time executive function assessment in custom-made virtual experiences and interventions". International Journal of Human-Computer Studies 158 (febbraio 2022): 102734. http://dx.doi.org/10.1016/j.ijhcs.2021.102734.
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Jauk, Julian, Hana Vašatko, Lukas Gosch, Kristijan Ristoski, Josef Füssl e Milena Stavric. "Coextrusion of Clay-Based Composites: Using a Multi-Material Approach to Achieve Gradient Porosity in 3D-Printed Ceramics". Ceramics 6, n. 4 (17 novembre 2023): 2243–55. http://dx.doi.org/10.3390/ceramics6040136.
Abstract (sommario):
3D printing of ceramics has started gaining traction in architecture over the past decades. However, many existing paste-based extrusion techniques have not yet been adapted or made feasible in ceramics. A notable example is coextrusion, a common approach to extruding multiple materials simultaneously when 3D-printing thermoplastics or concrete. In this study, coextrusion was utilized to enable multi-material 3D printing of ceramic elements, aiming to achieve functionally graded porosities at an architectural scale. The research presented in this paper was carried out in two consecutive phases: (1) The development of hardware components, such as distinct material mixtures and a dual extruder setup including a custom nozzle, along with software environments suitable for printing gradient materials. (2) Material experiments including material testing and the production of exemplary prototypes. Among the various potential applications discussed, the developed coextrusion method for clay-based composites was utilized to fabricate ceramic objects with varying material properties. This was achieved by introducing a combustible as a variable additive while printing, resulting in a gradient porosity in the object after firing. The research’s originality can be summarized as the development of clay-based material mixtures encompassing porosity agents for 3D printing, along with comprehensive material-specific printing parameter settings for various compositions, which collectively enable the successful creation of functionally graded architectural building elements. These studies are expected to broaden the scope of 3D-printed clay in architecture, as it allows for performance optimization in terms of structural performance, insulation, humidity regulation, water absorption and acoustics.
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Stonozhenko, Kirill, Igor Nikiforov e Sergey Ustinov. "Automated Object Storage Management Approach with Operator SDK and Custom Resource Definition". Proceedings of the Institute for System Programming of the RAS 34, n. 2 (2022): 123–34. http://dx.doi.org/10.15514/ispras-2022-34(2)-10.
Abstract (sommario):
The work is devoted to the study of automation tools for managing stateful applications in the Kubernetes environment, particularly object storage systems. A review of existing management tools capable solving the set tasks is made. A comparative description of the considered tools based on review is given and a tool is selected that meets the introduced criteria: popularity, support form Kubernetes, reactivity of developed operator, additional features, and others. An approach to automatic object storage management using the Operator SDK and Custom Resource Definition is suggested. As a result of comprehensive comparative analysis of tools Kubebuilder, Juju, Metacontroller, Kudo and Operator SDK, the last one was chosen as a base of approach implementation. The architecture of the system for managing a containerized version of storage systems based on the Kubernetes platform and integrating the operator with a user monitoring system is proposed. The described approach is implemented in a software tool – an operator of the object data storage system resource. The paper describes the details of software implementation, the structure of the storage custom resource descriptor, and methods for testing the end system. As a result, an object storage management system based on the Kubernetes platform was created, which made it possible to reduce both labor costs for supporting and maintaining the system, and it’s cost by reducing dependence on hardware. Moreover, described approach corresponds to such features of modern object storages as multi-tier, erasure coding support, geo-replication, cluster topology that is quite innovative among existing automated storage management approaches on Kubernetes platforms.
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Mondal, Sandip, Jialing Jiang, Yin Li e Gangfeng Ouyang. "Carbon and Tin-Based Polyacrylonitrile Hybrid Architecture Solid Phase Microextraction Fiber for the Detection and Quantification of Antibiotic Compounds in Aqueous Environmental Systems". Molecules 24, n. 9 (28 aprile 2019): 1670. http://dx.doi.org/10.3390/molecules24091670.
Abstract (sommario):
In this study, the detection and quantification of multiple classes of antibiotics in water matrices are proposed using a lab-made solid phase microextraction (SPME) fiber coupled with high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). The lab-made fiber was prepared using a graphene oxide (G), carbon nanotubes (C), and tin dioxide (T) composite, namely GCT, with polyacrylonitrile (PAN) as supporting material. The detected antibiotics were enrofloxacin, sulfathiazole, erythromycin, and trimethoprim. The custom-made fiber was found to be superior compared with a commercial C18 fiber. The excellent reproducibility and lower intra-fiber relative standard deviations (RSDs 1.8% to 6.8%) and inter-fiber RSDs (4.5% to 8.8%) made it an ideal candidate for the detection of traces of antibiotics in real environmental samples. The proposed validated method provides a satisfactory limit of detection and good linear ranges with higher (>0.99) coefficient of determination in the aqueous system. Application of the method was made in different real water systems such as river, pond and tap water using the standard spiking method. Excellent sensitivity, reproducibility, lower amount of sample detection and higher recovery was found in a real water sample. Therefore, the extraction method was successfully applied to the detection and quantification of multiple classes of antibiotics in different aqueous systems with satisfactory results.
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Górski, Filip, Aleksandra Grohs, Wiesław Kuczko, Magdalena Żukowska, Radosław Wichniarek, Sabina Siwiec, Diana-Irinel Băilă, Martin Zelenay, Răzvan Păcurar e Filippo Sanfilippo. "Development and Studies of VR-Assisted Hand Therapy Using a Customized Biomechatronic 3D Printed Orthosis". Electronics 13, n. 1 (23 dicembre 2023): 79. http://dx.doi.org/10.3390/electronics13010079.
Abstract (sommario):
This article presents the process of development, testing, and use of wrist–hand orthosis in the hand therapy of a teen patient with congenital paresis disease. A regular 3D-printed anatomically adjusted orthosis is modified with a set of sensors, to work as motion and interaction controller in virtual reality (VR). As the patient with this condition cannot operate VR controllers due to wrist and hand defects, the corrective orthosis was converted to a VR controller, by introducing custom-made electronics and commercially available motion trackers, linking them to the orthosis. A VR game scenario, with typical input from the VR controllers replaced by input from the custom-made controllers is then designed. The VR game scenario is prepared with involvement of physiotherapists, to incorporate the most important exercises for patients with the same condition. The scenario is tested with a group of human patients and assessed by an expert physiotherapist, for determining its efficiency, as well as to determine a set of necessary improvements for future development of the orthosis.
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Castro-García, Juan Antonio, Alberto Jesús Molina-Cantero, Isabel María Gómez-González, Sergio Lafuente-Arroyo e Manuel Merino-Monge. "Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables". Electronics 11, n. 1 (4 gennaio 2022): 155. http://dx.doi.org/10.3390/electronics11010155.
Abstract (sommario):
Detecting stress when performing physical activities is an interesting field that has received relatively little research interest to date. In this paper, we took a first step towards redressing this, through a comprehensive review and the design of a low-cost body area network (BAN) made of a set of wearables that allow physiological signals and human movements to be captured simultaneously. We used four different wearables: OpenBCI and three other open-hardware custom-made designs that communicate via bluetooth low energy (BLE) to an external computer—following the edge-computingconcept—hosting applications for data synchronization and storage. We obtained a large number of physiological signals (electroencephalography (EEG), electrocardiography (ECG), breathing rate (BR), electrodermal activity (EDA), and skin temperature (ST)) with which we analyzed internal states in general, but with a focus on stress. The findings show the reliability and feasibility of the proposed body area network (BAN) according to battery lifetime (greater than 15 h), packet loss rate (0% for our custom-made designs), and signal quality (signal-noise ratio (SNR) of 9.8 dB for the ECG circuit, and 61.6 dB for the EDA). Moreover, we conducted a preliminary experiment to gauge the main ECG features for stress detection during rest.
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Costantini, Giovanni, Valerio Cesarini, Pietro Di Leo, Federica Amato, Antonio Suppa, Francesco Asci, Antonio Pisani, Alessandra Calculli e Giovanni Saggio. "Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison". Sensors 23, n. 4 (18 febbraio 2023): 2293. http://dx.doi.org/10.3390/s23042293.
Abstract (sommario):
Parkinson’s Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervous system. In this study, we investigated early and full-blown PD patients based on the analysis of their voice characteristics with the aid of the most commonly employed machine learning (ML) techniques. A custom dataset was made with hi-fi quality recordings of vocal tasks gathered from Italian healthy control subjects and PD patients, divided into early diagnosed, off-medication patients on the one hand, and mid-advanced patients treated with L-Dopa on the other. Following the current state-of-the-art, several ML pipelines were compared usingdifferent feature selection and classification algorithms, and deep learning was also explored with a custom CNN architecture. Results show how feature-based ML and deep learning achieve comparable results in terms of classification, with KNN, SVM and naïve Bayes classifiers performing similarly, with a slight edge for KNN. Much more evident is the predominance of CFS as the best feature selector. The selected features act as relevant vocal biomarkers capable of differentiating healthy subjects, early untreated PD patients and mid-advanced L-Dopa treated patients.
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Kabir, Shahriar Mahmud, Mohammed I. H. Bhuiyan, Md Sayed Tanveer e ASM Shihavuddin. "RiIG Modeled WCP Image-Based CNN Architecture and Feature-Based Approach in Breast Tumor Classification from B-Mode Ultrasound". Applied Sciences 11, n. 24 (20 dicembre 2021): 12138. http://dx.doi.org/10.3390/app112412138.
Abstract (sommario):
This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images. The Rician Inverse Gaussian (RiIG) distribution is considered for modeling the statistics of ultrasound images in the Contourlet transform domain. The WCP images are obtained by weighting the RiIG modeled Contourlet sub-band coefficient images. In the feature-based approach, various geometrical, statistical, and texture features are shown to have low ANOVA p-value, thus indicating a good capacity for class discrimination. Using three publicly available datasets (Mendeley, UDIAT, and BUSI), it is shown that the classical feature-based approach can yield more than 97% accuracy across the datasets for breast tumor classification using WCP images while the custom-made convolutional neural network (CNN) can deliver more than 98% accuracy, sensitivity, specificity, NPV, and PPV values utilizing the same WCP images. Both methods provide superior classification performance, better than those of several existing techniques on the same datasets.
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Bagnasco, Stefano. "The Ligo-Virgo-KAGRA Computing Infrastructure for Gravitational-wave Research". EPJ Web of Conferences 295 (2024): 04047. http://dx.doi.org/10.1051/epjconf/202429504047.
Abstract (sommario):
The LIGO, VIRGO and KAGRA Gravitational-wave (GW) observatories are getting ready for their fourth observational period, O4, scheduled to begin in March 2023, with improved sensitivities and thus higher event rates. GW-related computing has both large commonalities with HEP computing, particularly in the domain of offline data processing and analysis, and important differences, for example in the fact that the amount of raw data doesn’t grow much with the instrument sensitivity, or the need to timely generate and distribute “event candidate alerts” to EM and neutrino observatories, thus making gravitational multi-messenger astronomy possible. Data from the interferometers are exchanged between collaborations both for low-latency and offline processing; in recent years, the three collaborations designed and built a common distributed computing infrastructure to prepare for a growing computing demand, and to reduce the maintenance burden of legacy custom-made tools, by increasingly adopting tools and architectures originally developed in the context of HEP computing. So, for example, HTCondor is used for workflow management, Rucio for many data management needs, CVMFS for code and data distribution, and more. We will present GW computing use cases and report about the architecture of the computing infrastructure as will be used during O4, as well as some planned upgrades for the subsequent observing run O5.
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Prashanth, H. C., e Madhav Rao. "Accelerated and Highly Correlated ASIC Synthesis of AI Hardware Subsystems Using CGP". IET Computers & Digital Techniques 2024 (29 gennaio 2024): 1–23. http://dx.doi.org/10.1049/2024/6623637.
Abstract (sommario):
Unconventional functions, including activation functions and power functions, are extremely hard-to-realize primarily due to the difficulty in arriving at the hierarchical design. The hierarchical design allows the synthesis tool to map the functionality with that of standard cells employed through the regular ASIC synthesis flow. For conventional functions, the hierarchical design is structured and then supplied to the synthesis flow, whereas, for unconventional functions, the same method is not reliable, since the current synthesis method does not offer any design-space exploration scheme to arrive at an easy-to-realize design entity. The unconventional functions either take a long synthesis run-time or additional efforts are spent in restructuring the hierarchical design for the desired function to synthesizable ones. Cartesian genetic programing (CGP) allows to not only incorporate custom logic gates for synthesizing the hierarchical design but also aids in the design-space exploration for the targeted function through the custom gates. The CGP configuration evolves difficult-to-realize complex functions with multiple solutions, and filtering through desired Pareto-optimal requirements offers a unique hierarchical design. Incorporating CGP-derived hierarchical designs into the traditional synthesis flow is instrumental for implementing and evaluating higher-order designs comprising nonlinear functional constructs. Six activation functions and power functions that fall in the category of unconventional functions are realized by the CGP method using custom cells to demonstrate the capability. Further, the hierarchical design of these unconventional functions is flattened and compared with the same function that is directly synthesized using basic gates. The CGP-derived synthesis method reports 3× less synthesis time for realizing the complex functions at the hierarchical level compared to the synthesis using basic gate cells. Hardware characteristics and error metrics are also investigated for the CGP realized complex functions and are made freely available for further usage to the research and designers’ community.
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Sommer, Bernhard, e Galo Moncayo. "Machine Learning and Artificial Intelligence in Building Physics Education". Bauphysik 45, n. 6 (dicembre 2023): 305–14. http://dx.doi.org/10.1002/bapi.202300020.
Abstract (sommario):
AbstractThis series presents articles on the use of computer programmes in university teaching of building physics and building technology for architects and civil engineers. This contribution highlights the utilization of machine learning and artificial intelligence (AI) in building physics education, drawing upon the expertise of the Energy Design department. The research conducted within the department encompasses the development of custom‐made digital tools, prototyping, and integration of sensors into energy concepts and the implementation of these concepts into building elements. It shows how the latest developments and the good availability and accessibility of algorithms and computing power have been used to train architects and how AI can be used to support the skills of the research and teaching team to create programs highly adapted to specific problems.
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Restuccia, Francesco, e Tommaso Melodia. "Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning". GetMobile: Mobile Computing and Communications 25, n. 3 (7 gennaio 2022): 28–33. http://dx.doi.org/10.1145/3511285.3511294.
Abstract (sommario):
Wireless systems such as the Internet of Things (IoT) are changing the way we interact with the cyber and the physical world. As IoT systems become more and more pervasive, it is imperative to design wireless protocols that can effectively and efficiently support IoT devices and operations. On the other hand, today's IoT wireless systems are based on inflexible designs, which makes them inefficient and prone to a variety of wireless attacks. In this paper, we introduce the new notion of a deep learning-based polymorphic IoT receiver, able to reconfigure its waveform demodulation strategy itself in real time, based on the inferred waveform parameters. Our key innovation is the introduction of a novel embedded deep learning architecture that enables the solution of waveform inference problems, which is then integrated into a generalized hardware/software architecture with radio components and signal processing. Our polymorphic wireless receiver is prototyped on a custom-made software-defined radio platform. We show through extensive over-the-air experiments that the system achieves throughput within 87% of a perfect-knowledge Oracle system, thus demonstrating for the first time that polymorphic receivers are feasible.
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Zhang, Xiaotian, e Girish Krishnan. "A nested pneumatic muscle arrangement for amplified stroke and force behavior". Journal of Intelligent Material Systems and Structures 29, n. 6 (22 settembre 2017): 1139–56. http://dx.doi.org/10.1177/1045389x17730920.
Abstract (sommario):
This article presents a compact nested architecture to amplify the displacement and forces of pneumatic artificial muscles for potential use in human assistive devices and other robotic applications. The nested architecture consists of several levels in series, and each level is made up of contracting pneumatic muscles, passive force transfer members, and additively manufactured interconnects. The stroke obtained from the nested pneumatic artificial muscle architecture is not always beneficial and is limited by the length-dependent behavior of pneumatic artificial muscles and other practical manufacturing constraints such as the size of the interconnects. Thus, this article studies the effect of the pneumatic artificial muscle length on its stroke using a modified constrained volume maximization formulation, which predicts the actual shape of the deformed pneumatic artificial muscle, and models additional stiffness due to membrane bending. Using this formulation, a framework is presented to optimally design the number of nested levels and individual actuators in each level to obtain a required stroke. Such a system is designed to actuate the human elbow by an angle of 80°, where almost 40% contraction is obtained using custom-manufactured pneumatic artificial muscles inherently capable of contracting upto 17% of its length. The framework can be used to amplify the stroke and forces of any pneumatic artificial muscle actuator and adapt it to different application requirements.
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Sumari, Putra, Azleena Mohd Kassim, Song-Quan Ong, Gomesh Nair, Al Dabbagh Ragheed e Nur Farihah Aminuddin. "Classification of jackfruit and cempedak using convolutional neural network and transfer learning". IAES International Journal of Artificial Intelligence (IJ-AI) 11, n. 4 (1 dicembre 2022): 1353. http://dx.doi.org/10.11591/ijai.v11.i4.pp1353-1361.
Abstract (sommario):
Jackfruit (Artocarpus integer) and Cempedak (Artocarpus heterophyllus) are two different Southeast Asian fruit species from the same genus that are quite similar in their external appearance, therefore, sometimes difficult to be recognized visually by humans, especially in the form of pictures. Convolutional neural networks (CNN) and transfer learning can provide an excellent solution to recognize fruits, where the methods are known to be able to classify objects with high accuracy. In this study, several models were proposed and constructed to recognize the Jackfruit and Cempedak using a deep convolutional neural network (DCNN). We proposed our custom-made own CNN model and modify five transfer learning models on pre-trained VGG16, VGG19, Xception, ResNet50, and InceptionV3. The experiment used our own dataset and the result showed that the proposed CNN architecture was able to provide an accuracy between 89% to 93.67% compared to the other CNN transfer learning.
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Quintal, Filipe, Daniel Garigali, Dino Vasconcelos, Jonathan Cavaleiro, Wilson Santos e Lucas Pereira. "Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator". Energies 14, n. 18 (14 settembre 2021): 5786. http://dx.doi.org/10.3390/en14185786.
Abstract (sommario):
This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.
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Baltes, John. "Locke's Inverted Quarantine: Discipline, Panopticism, and the Making of the Liberal Subject". Review of Politics 75, n. 2 (2013): 173–92. http://dx.doi.org/10.1017/s0034670513000028.
Abstract (sommario):
AbstractSome Thoughts Concerning Educationoffers the theory of governance theTwo Treatiseslack. Education is the key to Lockean politics: self-government and public order require virtuous citizens, and these citizens, as Locke suggested in theEssayand explains in theEducation, are made rather than found, constructed from the ground up by discipline. Through early and careful practices of education, they are enmeshed in a net of habit and custom that naturalizes the moral commitments they are taught, rendering the process, and the artifice, invisible. Locke entangles his subjects in an architecture of power of which they become the bearers, thereby providing the foundation for public order and limited government. Locke's disciplinary liberalism allows us to better appreciate late modern subjectivity as an achievement, rather than a given of political life, albeit an achievement that involves some uncomfortable compromises and a willingness to accept, if not laud, our disciplinary commitments.
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Tsiakas, Kosmas, Alexios Papadimitriou, Eleftheria Maria Pechlivani, Dimitrios Giakoumis, Nikolaos Frangakis, Antonios Gasteratos e Dimitrios Tzovaras. "An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments". Robotics 12, n. 6 (28 ottobre 2023): 146. http://dx.doi.org/10.3390/robotics12060146.
Abstract (sommario):
Due to the accelerated growth of the world’s population, food security and sustainable agricultural practices have become essential. The incorporation of Artificial Intelligence (AI)-enabled robotic systems in cultivation, especially in greenhouse environments, represents a promising solution, where the utilization of the confined infrastructure improves the efficacy and accuracy of numerous agricultural duties. In this paper, we present a comprehensive autonomous navigation architecture for holonomic mobile robots in greenhouses. Our approach utilizes the heating system rails to navigate through the crop rows using a single stereo camera for perception and a LiDAR sensor for accurate distance measurements. A finite state machine orchestrates the sequence of required actions, enabling fully automated task execution, while semantic segmentation provides essential cognition to the robot. Our approach has been evaluated in a real-world greenhouse using a custom-made robotic platform, showing its overall efficacy for automated inspection tasks in greenhouses.
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Gomez-Cruz, Clara, Sonia Laguna, Ariadna Bachiller-Pulido, Cristina Quilez, Marina Cañadas-Ortega, Ignacio Albert-Smet, Jorge Ripoll e Arrate Muñoz-Barrutia. "Single Plane Illumination Microscopy for Microfluidic Device Imaging". Biosensors 12, n. 12 (1 dicembre 2022): 1110. http://dx.doi.org/10.3390/bios12121110.
Abstract (sommario):
Three-dimensional imaging of live processes at a cellular level is a challenging task. It requires high-speed acquisition capabilities, low phototoxicity, and low mechanical disturbances. Three-dimensional imaging in microfluidic devices poses additional challenges as a deep penetration of the light source is required, along with a stationary setting, so the flows are not perturbed. Different types of fluorescence microscopy techniques have been used to address these limitations; particularly, confocal microscopy and light sheet fluorescence microscopy (LSFM). This manuscript proposes a novel architecture of a type of LSFM, single-plane illumination microscopy (SPIM). This custom-made microscope includes two mirror galvanometers to scan the sample vertically and reduce shadowing artifacts while avoiding unnecessary movement. In addition, two electro-tunable lenses fine-tune the focus position and reduce the scattering caused by the microfluidic devices. The microscope has been fully set up and characterized, achieving a resolution of 1.50 μm in the x-y plane and 7.93 μm in the z-direction. The proposed architecture has risen to the challenges posed when imaging microfluidic devices and live processes, as it can successfully acquire 3D volumetric images together with time-lapse recordings, and it is thus a suitable microscopic technique for live tracking miniaturized tissue and disease models.
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Oh, Kyung, Jeongwon Paik e Jee-Hwan Kim. "Esthetic Rehabilitation of Maxillary Anterior Teeth, Including an Immediate Provisionalization with an Implant-Supported Fixed Dental Prosthesis". Journal of Clinical Medicine 8, n. 4 (28 marzo 2019): 428. http://dx.doi.org/10.3390/jcm8040428.
Abstract (sommario):
This report describes the case of a patient who required rehabilitation of their maxillary anterior teeth following a traumatic injury through a physical altercation. The decision was made to extract the maxillary central incisors and maxillary right lateral incisor, perform immediate implantation on the maxillary right lateral incisor and left central incisor areas, and place a three-unit immediate provisional restoration. Predesigned virtual teeth enabled efficient fabrication of the immediate provisional restoration following the implant placement. After a sufficient healing period with periodic check-ups, final impressions were made using a digital approach, with meticulous care taken to preserve the gingival architecture around the sites of rehabilitation. Thus, the custom abutments and definitive restoration were placed without eliciting an uncomfortable feeling in the patient. Both esthetic and functional outcomes were satisfactory. Reduced soft tissue volume around the implant restoration was observed, primarily within the two months post-extraction/implantation, based on superimposition of the serial scan data. Soft tissue volume changes in the present case suggest the need for controlled clinical studies of three-dimensional changes of gingival contours after extraction and/or implantation.
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LEE, ROBERT. "Customs in Conflict: Some Causes of Anti-Clericalism in Rural Norfolk, 1815–1914". Rural History 14, n. 2 (16 settembre 2003): 197–218. http://dx.doi.org/10.1017/s0956793303001031.
Abstract (sommario):
This article examines aspects of the relationship between the Norfolk poor and the Norfolk clergy between 1815 and 1914. It considers the potential impact clergymen could have upon a number of areas of secular life, especially with regard to the extirpation of popular culture and custom, the social and moral management inherent in charity and Poor Law administration, and the development of ‘power networks’ in the countryside that confronted the challenge posed by religious Nonconformity and political radicalism. The article is principally concerned with the importance of the Church of England as an instrument of secular authority in nineteenth-century rural life. Rival social structures and conflicting economic interests are subjected to both quantitative and qualitative analysis, while keys to cultural tension are sought in such iconic areas as the pageantry of parish entertainments; the re-casting of law to act against custom; the rise of the clergyman as antiquarian historian and amateur archaeologist; the symbolism and architecture of the restored church. In so doing an attempt is made to address questions that are at once broadly political and narrowly human in their scope. What did the Oxbridge scholar – perhaps having spent the preceding three years conversing in Greek and Latin with his peers – find to ‘say’ to the agricultural labourers now in his pastoral care? And why, when the clergyman (often justifiably) thought of himself as working unstintingly in his parishioners' interests, was he so often heartily despised by them?
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Kutzner, Tanja J., Adele Gabba, Forrest G. FitzGerald, Nadezhda V. Shilova, Gabriel García Caballero, Anna-Kristin Ludwig, Joachim C. Manning et al. "How altering the modular architecture affects aspects of lectin activity: case study on human galectin-1". Glycobiology 29, n. 8 (15 maggio 2019): 593–607. http://dx.doi.org/10.1093/glycob/cwz034.
Abstract (sommario):
Abstract Discoveries on involvement of glycan–protein recognition in many (patho)physiological processes are directing attention to exploring the significance of a fundamental structural aspect of sugar receptors beyond glycan specificity, i.e., occurrence of distinct types of modular architecture. In order to trace clues for defining design–functionality relationships in human lectins, a lectin's structural unit has been used as source material for engineering custom-made variants of the wild-type protein. Their availability facilitates comparative analysis toward the stated aim. With adhesion/growth-regulatory human galectin-1 as example, the strategy of evaluating how changes of its design (here, from the homodimer of non-covalently associated domains to (i) linker-connected di- and tetramers and (ii) a galectin-3-like protein) affect activity is illustrated by using three assay systems of increasing degree of glycan complexity. Whereas calorimetry with two cognate disaccharides and array testing with 647 (glyco)compounds disclosed no major changes, galectin histochemical staining profiles of tissue sections that present natural glycome complexity revealed differences between wild-type and linker-connected homo-oligomers as well as between the galectin-3-like variant and wild-type galectin-3 for cell-type positivity, level of intensity at the same site and susceptibility for inhibition by a bivalent glycocompound. These results underscore the strength of the documented approach. Moreover, they give direction to proceed to (i) extending its application to other members of this lectin family, especially galectin-3 and (ii) then analyzing impact of architectural alterations on cell surface lattice formation and ensuing biosignaling systematically, considering the variants’ potential for translational medicine.
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De Temmerman, Ir arch Niels, Marijke Mollaert, Ir arch Tom Van Mele e Ir arch Lars De Laet. "Design and Analysis of a Foldable Mobile Shelter System". International Journal of Space Structures 22, n. 3 (settembre 2007): 161–68. http://dx.doi.org/10.1260/026635107782218868.
Abstract (sommario):
A concept for a mobile shelter is proposed, based on the geometry and kinematic behaviour of foldable plate structures. The folding pattern and the associated design parameters are discussed, along with their influence on the geometry and the kinematic behaviour. It is shown that the transition can be made from a foldable plate structure to a foldable bar structure, while retaining an identical kinematic behaviour. This is done by introducing custom-built joints for connecting the bars which allow the system to deploy in the desired way, maintaining the same D.O.F (degree of freedom) as the plate system. For the structure to be employable as a fully-fledged temporary space enclosure, a lightweight textile membrane is incorporated beforehand and deployed along with the bar structure.
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Sepp, Róbert, Lidia Hategan, Beáta Csányi, János Borbás, Annamária Tringer, Eszter Dalma Pálinkás, Viktória Nagy et al. "The Genetic Architecture of Hypertrophic Cardiomyopathy in Hungary: Analysis of 242 Patients with a Panel of 98 Genes". Diagnostics 12, n. 5 (3 maggio 2022): 1132. http://dx.doi.org/10.3390/diagnostics12051132.
Abstract (sommario):
Hypertrophic cardiomyopathy (HCM) is a primary disease of the myocardium most commonly caused by mutations in sarcomeric genes. We aimed to perform a nationwide large-scale genetic analysis of a previously unreported, representative HCM cohort in Hungary. A total of 242 consecutive HCM index patients (127 men, 44 ± 11 years) were studied with next generation sequencing using a custom-designed gene-panel comprising 98 cardiomyopathy-related genes. A total of 90 patients (37%) carried pathogenic/likely pathogenic (P/LP) variants. The percentage of patients with P/LP variants in genes with definitive evidence for HCM association was 93%. Most of the patients with P/LP variants had mutations in MYBPC3 (55 pts, 61%) and in MYH7 (21 pts, 23%). Double P/LP variants were present in four patients (1.7%). P/LP variants in other genes could be detected in ≤3% of patients. Of the patients without P/LP variants, 46 patients (19%) carried a variant of unknown significance. Non-HCM P/LP variants were identified in six patients (2.5%), with two in RAF1 (p.Leu633Val, p.Ser257Leu) and one in DES (p.Arg406Trp), FHL1 (p.Glu96Ter), TTN (p.Lys23480fs), and in the mitochondrial genome (m.3243A>G). Frameshift, nonsense, and splice-variants made up 82% of all P/LP MYBPC3 variants. In all the other genes, missense mutations were the dominant form of variants. The MYBPC3 p.Gln1233Ter, the MYBPC3 p.Pro955ArgfsTer95, and the MYBPC3 p.Ser593ProfsTer11 variants were identified in 12, 7, and 13 patients, respectively. These three variants made up 36% of all patients with identified P/LP variants, raising the possibility of a possible founder effect for these mutations. Similar to other HCM populations, the MYBPC3 and the MYH7 genes seemed to be the most frequently affected genes in Hungarian HCM patients. The high prevalence of three MYBPC3 mutations raises the possibility of a founder effect in our HCM cohort.
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Burk, Janina, Amelie Plenge, Walter Brehm, Sandra Heller, Bastian Pfeiffer e Cornelia Kasper. "Induction of Tenogenic Differentiation Mediated by Extracellular Tendon Matrix and Short-Term Cyclic Stretching". Stem Cells International 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7342379.
Abstract (sommario):
Tendon and ligament pathologies are still a therapeutic challenge, due to the difficulty in restoring the complex extracellular matrix architecture and biomechanical strength. While progress is being made in cell-based therapies and tissue engineering approaches, comprehensive understanding of the fate of progenitor cells in tendon healing is still lacking. The aim of this study was to investigate the effect of decellularized tendon matrix and moderate cyclic stretching as natural stimuli which could potentially direct tenogenic fate. Equine adipose-derived mesenchymal stromal cells (MSC) were seeded on decellularized tendon matrix scaffolds. Mechanical stimulation was applied in a custom-made cyclic strain bioreactor. Assessment was performed 4 h, 8 h, and 24 h following mechanical stimulation. Scaffold culture induced cell alignment and changes in expression of tendon-related genes, although cell viability was decreased compared to monolayer culture. Short mechanical stimulation periods enhanced most of the scaffold-induced effects. Collagen 1A2 expression levels were decreased, while collagen 3A1 and decorin levels were increased. Tenascin-C and scleraxis expression showed an initial decrease but had increased 24 h after stimulation. The results obtained suggest that decellularized tendon matrix, supported by cyclic stretching, can induce tenogenic differentiation and the synthesis of tendon components important for matrix remodeling.
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Wibowo, Sugiarto, e Indar Sugiarto. "Hand Symbol Classification for Human-Computer Interaction Using the Fifth Version of YOLO Object Detection". CommIT (Communication and Information Technology) Journal 17, n. 1 (17 marzo 2023): 43–50. http://dx.doi.org/10.21512/commit.v17i1.8520.
Abstract (sommario):
Human-Computer Interaction (HCI) nowadays mostly uses physical contact, such as people using the mouse to choose something in an application. However, there are certain problems that people face in using conventional HCI. The research tries to overcome some problems when people use conventional HCI using the computer vision method. The research focuses on creating and evaluating the object detection model for classifying hand symbols. The research applies the fifth version of YOLO with the architecture of YOLOv5m to classify hand symbols in real time. The methods are divided into three steps. Those steps are dataset creation consisting of 100 images in each class, training phase, and performance evaluation of the model. The hand gesture classes made in the research are ‘ok’, ‘cancel’, ‘previous’, ‘next’, and ‘confirm’, the dataset is made by the researchers custom. After the training phase, the validation results show 93% for accuracy, 99% for precision, 100% for recall, and 99% for F1 score. Meanwhile, in real-time detection, the performance of the model for classifying hand symbols is 80% for accuracy, 95% for precision, 84% for recall, and 89% for F1 score. Although there are differences, it still acceptable for the research and can be improved in future research.
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Vizitiu, Cristian, Călin Bîră, Adrian Dinculescu, Alexandru Nistorescu e Mihaela Marin. "Exhaustive Description of the System Architecture and Prototype Implementation of an IoT-Based eHealth Biometric Monitoring System for Elders in Independent Living". Sensors 21, n. 5 (6 marzo 2021): 1837. http://dx.doi.org/10.3390/s21051837.
Abstract (sommario):
In this paper, we present an exhaustive description of an extensible e-Health Internet-connected embedded system, which allows the measurement of three biometric parameters: pulse rate, oxygen saturation and temperature, via several wired and wireless sensors residing to the realm of Noncommunicable Diseases (NCDs) and cognitive assessment through Choice Reaction Time (CRT) analysis. The hardware used is based on ATMEGA AVR + MySignals Hardware printed circuit board (Hardware PCB), but with multiple upgrades (including porting from ATMEGA328P to ATMEGA2560). Multiple software improvements were made (by writing high-level device drivers, text-mode and graphic-mode display driver) for increasing functionality, portability, speed, and latency. A top-level embedded application was developed and benchmarked. A custom wireless AT command firmware was developed, based on ESP8266 firmware to allow AP-mode configuration and single-command JavaScript Object Notation (JSON) data-packet pushing towards the cloud platform. All software is available in a git repository, including the measurement results. The proposed eHealth system provides with specific NCDs and cognitive views fostering the potential to exploit correlations between physiological and cognitive data and to generate predictive analysis in the field of eldercare.
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Stadlbauer, Andreas, Ilker Eyüpoglu, Michael Buchfelder, Arnd Dörfler, Max Zimmermann, Gertraud Heinz e Stefan Oberndorfer. "Vascular architecture mapping for early detection of glioblastoma recurrence". Neurosurgical Focus 47, n. 6 (dicembre 2019): E14. http://dx.doi.org/10.3171/2019.9.focus19613.
Abstract (sommario):
OBJECTIVETreatment failure and inevitable tumor recurrence are the main reasons for the poor prognosis of glioblastoma (GB). Gross-total resection at repeat craniotomy for GB recurrence improves patient overall survival but requires early and reliable detection. It is known, however, that even advanced MRI approaches have limited diagnostic performance for distinguishing tumor progression from pseudoprogression. The novel MRI technique of vascular architectural mapping (VAM) provides deeper insight into tumor microvascularity and neovascularization. In this study the authors evaluated the usefulness of VAM for the monitoring of GB patients and quantitatively analyzed the features of neovascularization of early- and progressed-stage GB recurrence.METHODSIn total, a group of 115 GB patients who received overall 374 follow-up MRI examinations after standard treatment were retrospectively evaluated in this study. The clinical routine MRI (cMRI) protocol at 3 Tesla was extended with the authors’ experimental VAM approach, requiring 2 minutes of extra time for data acquisition. Custom-made MATLAB software was used for calculation of imaging biomarker maps of macrovascular perfusion from perfusion cMRI as well as of microvascular perfusion and architecture from VAM data. Additionally, cMRI data were analyzed by two board-certified radiologists in consensus. Statistical procedures included receiver operating characteristic (ROC) analysis to determine diagnostic performances for GB recurrence detection.RESULTSOverall, cMRI showed GB recurrence in 89 patients, and in 28 of these patients recurrence was detected earlier with VAM data, by 1 (20 patients) or 2 (8 patients) follow-up examinations, than with cMRI data. The mean time difference between recurrence detection with VAM and cMRI data was 147 days. During this time period the mean tumor volume increased significantly (p < 0.001) from 9.7 to 26.8 cm3. Quantitative analysis of imaging biomarkers demonstrated microvascular but no macrovascular hyperperfusion in early GB recurrence. Therefore, ROC analysis revealed superior diagnostic performance for VAM compared with cMRI.CONCLUSIONSThis study demonstrated that the targeted assessment of microvascular features using the VAM technique provided valuable information about early neovascularization activity in recurrent GB that is complementary to perfusion cMRI and may be helpful for earlier and more precise monitoring of patients suffering from GB. This VAM approach is compatible with existing cMRI protocols. Prospective clinical trials are necessary to investigate the clinical usefulness and potential benefit of increased overall survival with the use of VAM in patients with recurrent GB.
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Richardson, Victoria. "3D printing becomes concrete: exploring the structural potential of concrete 3D printing". Structural Engineer 95, n. 10 (2 ottobre 2017): 10–17. http://dx.doi.org/10.56330/qvsi5222.
Abstract (sommario):
Three-dimensional (3D) printing is celebrated as part of the next Industrial Revolution, in which automation and artificial intelligence will transform the construction industry. It is at the forefront of building innovation and has the potential to have a revolutionary effect on how structures are built. We are not the first industry to seek the benefits of robotically controlled, free-form manufacture: the medical, automotive and aeronautical industries are just some areas where 3D printed parts are now offered as standard products or component parts. 3D printing has proved particularly successful where rapidly produced, low-cost, unique products are needed. A recent surge in mass customisation has enabled industry to produce custom-made shoes printed to the form of one’s foot or to tailor a life-changing prosthesis adapted to one’s individual shape and size. In this article, Victoria Richardson, winner of the Institution's Pai Lin Li Travel Award 2016, discusses her research to explore how structural engineering and the construction industry can benefit from 3D printing.
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Rao, Vibhavari B. "Prediction of Crime Scene Objects Using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 9, n. VIII (15 agosto 2021): 857–64. http://dx.doi.org/10.22214/ijraset.2021.37512.
Abstract (sommario):
The crime rates today can inevitably put a civilian's life in danger. While consistent efforts are being made to alleviate crime, there is also a dire need to create a smart and proactive surveillance system. Our project implements a smart surveillance system that would alert the authorities in real-time when a crime is being committed. During armed robberies and hostage situations, most often, the police cannot reach the place on time to prevent it from happening, owing to the lag in communication between the informants of the crime scene and the police. We propose an object detection model that implements deep learning algorithms to detect objects of violence such as pistols, knives, rifles from video surveillance footage, and in turn send real-time alerts to the authorities. There are a number of object detection algorithms being developed, each being evaluated under the performance metric mAP. On implementing Faster R-CNN with ResNet 101 architecture we found the mAP score to be about 91%. However, the downside to this is the excessive training and inferencing time it incurs. On the other hand, YOLOv5 architecture resulted in a model that performed very well in terms of speed. Its training speed was found to be 0.012 s / image during training but naturally, the accuracy was not as high as Faster R-CNN. With good computer architecture, it can run at about 40 fps. Thus, there is a tradeoff between speed and accuracy and it's important to strike a balance. We use transfer learning to improve accuracy by training the model on our custom dataset. This project can be deployed on any generic CCTV camera by setting up a live RTSP (real-time streaming protocol) and streaming the footage on a laptop or desktop where the deep learning model is being run.
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Mayser, Matthias J., Holger F. Bohn, Meike Reker e Wilhelm Barthlott. "Measuring air layer volumes retained by submerged floating-ferns Salvinia and biomimetic superhydrophobic surfaces". Beilstein Journal of Nanotechnology 5 (10 giugno 2014): 812–21. http://dx.doi.org/10.3762/bjnano.5.93.
Abstract (sommario):
Some plants and animals feature superhydrophobic surfaces capable of retaining a layer of air when submerged under water. Long-term air retaining surfaces (Salvinia-effect) are of high interest for biomimetic applications like drag reduction in ship coatings of up to 30%. Here we present a novel method for measuring air volumes and air loss under water. We recorded the buoyancy force of the air layer on leaf surfaces of four different Salvinia species and on one biomimetic surface using a highly sensitive custom made strain gauge force transducer setup. The volume of air held by a surface was quantified by comparing the buoyancy force of the specimen with and then without an air layer. Air volumes retained by the Salvinia-surfaces ranged between 0.15 and 1 L/m2 depending on differences in surface architecture. We verified the precision of the method by comparing the measured air volumes with theoretical volume calculations and could find a good agreement between both values. In this context we present techniques to calculate air volumes on surfaces with complex microstructures. The introduced method also allows to measure decrease or increase of air layers with high accuracy in real-time to understand dynamic processes.
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Chang, Chia-I., Eamor M. Woo e Selvaraj Nagarajan. "Grating Assembly Dissected in Periodic Bands of Poly (Butylene Adipate) Modulated with Poly (Ethylene Oxide)". Polymers 14, n. 21 (7 novembre 2022): 4781. http://dx.doi.org/10.3390/polym14214781.
Abstract (sommario):
Polarized optical microscopy (POM), scanning electron microscopy (SEM), and synchrotron microbeam wide-angle X-ray diffraction (WAXD) were used to investigate the mechanisms of periodic assemblies leading to ring-banded crystal aggregates with light-grating capacity for iridescence in poly (1,4-butylene adipate) (PBA) modulated with poly (ethylene oxide) (PEO). A critical finding is that the PBA crystal assembly on the top surface and in the interior constitutes a grating architecture, with a cross-bar pitch equaling the inter-band spacing. The inner lamellae are arranged perpendicularly to the substrate under the ridge region, where they scroll, bend, and twist 90° to branch out newly spawned lamellae to form the parallel lamellae under the valley region. The cross-hatch grating with a fixed inter-spacing in the PBA aggregated crystals is proved in this work to perfectly act as light-interference entities capable of performing iridescence functions, which can be compared to those widely seen in many of nature’s organic bio-species or inorganic minerals such as opals. This is a novel breakthrough finding for PBA or similar polymers, such as photonic crystals, especially when the crystalline morphology could be custom-made and modulated with a second constituent.
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Ilchev, Svetozar. "Design and Development of an Electronic Controller for Accurate Temperature Management for Storage of Biological and Chemical Samples in Healthcare". Computation 12, n. 5 (16 maggio 2024): 102. http://dx.doi.org/10.3390/computation12050102.
Abstract (sommario):
This paper presents the design and development of an electronic controller for accurate temperature management for the storage of biological and chemical samples in healthcare applications. In the introduction, some important application aspects related to the use of temperature control devices in healthcare are discussed. Keeping these aspects in mind, a brief overview of some related works is presented. The findings are then translated to specific requirements for an electronic controller, which is to be used in a temperature control device. These requirements made necessary the development of a custom controller, as no readily available solutions could be obtained. The paper proceeds with the design of a suitable architecture and discusses some of the design choices. Then, some implementation details are presented and the prototype controller, together with its user interface, is illustrated. Experiments are conducted and several points for improvement are identified. Overall, the main task of keeping accurate, traceable temperature at all times is accomplished successfully, and the electronic controller proves to be a viable solution that conforms to the identified requirements. Future versions will improve the speed of the temperature adaptation and include better user interface and wireless connectivity for remote monitoring and control.