articles+ search results

Keywords: ab initio; electronic structure; FANCI; method development; Python Abstract Fanpy is a free and open-source Python library for developing and testing multideterminant wavefunctions and related ab initio methods in electronic structure theory. The main use of Fanpy is to quickly prototype new methods by making it easier to convert the mathematical formulation of a new wavefunction ansätze to a working implementation. Fanpy is designed based on our recently introduced Flexible Ansatz for N-electron Configuration Interaction (FANCI) framework, where multideterminant wavefunctions are represented by their overlaps with Slater determinants of orthonormal spin-orbitals. In the simplest case, a new wavefunction ansatz can be implemented by simply writing a function for evaluating its overlap with an arbitrary Slater determinant. Fanpy is modular in both implementation and theory: the wavefunction model, the system's Hamiltonian, and the choice of objective function are all independent modules. This modular structure makes it easy for users to mix and match different methods and for developers to quickly explore new ideas. Fanpy is written purely in Python with standard dependencies, making it accessible for various operating systems. In addition, it adheres to principles of modern software development, including comprehensive documentation, extensive testing, quality assurance, and continuous integration and delivery protocols. This article is considered to be the official release notes for the Fanpy library. Article Note: Funding information Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; CANARIE; Compute Canada; Research Board of Ghent University; University of Florida Byline: Taewon D. Kim, M. Richer, Gabriela Sánchez-Díaz, Ramón Alain Miranda-Quintana, Toon Verstraelen, Farnaz Heidar-Zadeh, Paul W. Ayers

Implant dentures -- Methods, Implant dentures -- Usage, Rapid prototyping -- Methods, and Rapid prototyping -- Usage

To purchase or authenticate to the full-text of this article, please visit this link: http://onlinelibrary.wiley.com/doi/10.1002/rcs.1895/abstract Byline: Mohamed Farid Shehab, Nabila Mohammed Abdel Hamid, Nevien Abdullatif Askar, Ahmed Mokhtar Elmardenly Keywords: CAD-CAM, electron beam melting; immediate mandibular reconstruction; patient-specific titanium mesh; rapid prototyping Abstract Background Immediate mandibular reconstruction was performed using a patient-specific titanium mesh tray fabricated by electron beam melting (EBM) /rapid prototyping techniques. Methods Patient-specific titanium trays were virtually designed and fabricated using EBM technology/rapid prototyping for patients requiring mandibular resection and immediate reconstruction using an iliac crest bone graft. Dental implants were placed in the grafted sites and the patients received prosthetic rehabilitation with a follow-up of one year. Clinical data, postoperative bone formation and complications were evaluated. Results A symmetric appearance of facial contours was achieved. The titanium tray incorporated the particulate iliac crest bone graft that provided significant bone formation (mean 18.97 [+ or -] 1.45 mm) and predictable results. Stability of the dental implants was achieved. Conclusion The patient-specific titanium meshes and immediate particulate autogenous bone graft showed satisfactory clinical and surgical results in improving patients' quality of life and decreasing the overall treatment time with adequate functional rehabilitation.

Algorithms -- Analysis and Algorithm

Teaching -- Usage, Teaching -- Methods, and Teaching -- Study and teaching

Given the ubiquity of interfaces on computing devices, it is essential for future Information Systems (IS) professionals to understand the ramifications of good user interface (UI) design. This article provides instructions on how to efficiently and effectively teach IS students about "fit," a Human-Computer Interaction (HCI) concept, through a paper prototyping activity. Although easy to explain, the concept of "fit" can be difficult to understand without repeated practice. Practically, designing "fit" into UIs can be cost-prohibitive because working prototypes are often beyond students' technical skillset. Accordingly, based on principles of active learning, we show how to use paper prototyping to demonstrate "fit" in a hands-on class exercise. We provide detailed stepby-step instructions to plan, setup, and present the exercise to guide students through the process of "fit" in UI design. As a result of this activity, students are better able to employ both theoretical and practical applications of "fit" in UI design and implementation. This exercise is applicable in any course that includes UI design, such as principles of HCI, systems analysis and design, software engineering, and project management. Keywords: Human-computer interaction (HCI), Paper prototyping, Active learning, Constructionism, Teaching tip
1. INTRODUCTION With computing devices peppering nearly every aspect of our lives, how people interact with these technologies is critically important to all computing fields. In fact, failure to properly [...]

Sensors

Keywords Raspberry Pi; BeagleBone; Sharks Cove; Waspmote Abstract Arduino, an open-source electronics platform, has become the go-to option for anyone working on interactive hardware and software projects. An Arduino board (such as the Uno) connected to a breadboard with plugins such as inputs, sensors, lights, and displays can be controlled by a code written in the Arduino development environment. How to achieve this is by prototyping with Arduino. Prototyping with Arduino has grown in popularity with the increased use of the Arduino platform. Prototyping with Arduino, however, is not an easy task for nonprogrammers with interest in the field. With increased public interest in the field will come a need for accessible information. This paper presents a methodical literature review intended to intensively analyze and compare existing primary studies on prototyping with Arduino. We found about 130 of such studies, all peer-reviewed and published within the last 15 years, including these years (2015--2020). These studies were tediously and carefully chosen through a three-step process. In this paper, a cautious analysis of selected studies was followed by a clear description of the methods applied. The methods were categorized according to the success rate of the studied prototypes. Results obtained can be used in researches on the best technique to adopt while prototyping with Arduino. They can also be used in electronics researches and by individuals who wish to obtain a guide on prototyping with Arduino despite lacking grounded knowledge of the subject matter. Author Affiliation: (a) School of Computer Science & Engineering, VIT-AP University, Beside AP Secretariat, Near Vijayawada, Andhra Pradesh, India (b) School of Electronics Engineering, VIT-AP University, Beside AP Secretariat, Near Vijayawada, Andhra Pradesh, India * Corresponding author. Article History: Received 22 September 2020; Accepted 13 January 2021 Byline: Hari Kishan Kondaveeti [kishan.kondaveeti@vitap.ac.in] (a,*), Nandeesh Kumar Kumaravelu (b), Sunny Dayal Vanambathina (b), Sudha Ellison Mathe (b), Suseela Vappangi (b)

Satellite communications, Antennas (Electronics) -- Design and construction, Waveguides -- Design and construction, Sintering, 3D printing, Satellite communications, and Computer-aided design

Keywords: additive manufacturing; fused filament fabrication; phase shifter; reconfigurable; selective laser sintering; waveguide Abstract This work presents the design and manufacturing of a K-band reconfigurable phase shifter completely implemented in waveguide technology for reduced insertion loss, good matching, and large phase shifting range. The device is based on the combination of a short slot coupler and two tunable reactive loads implemented as a section of short-circuited waveguide where an adjustable metallic post is inserted. Three prototypes of this design have been manufactured using different techniques (conventional computer numerical control machining, a low-cost fused filament fabrication technique and direct metal laser sintering) in order to assess its performance for different applications. The prototypes have been characterized experimentally and the achieved results are evaluated and compared. The proposed phase shifter, since it is fully developed in waveguide technology, eliminates the need of adding transitions to planar structures in order to integrate lumped components like pin diodes or varactors. Therefore, this device has a great potential in high-power beam steering phased arrays. Biographical information: Lucas Polo-Lopez received the BSc and MSc degrees in Telecommunication Engineering from the Universidad Autonoma de Madrid, Madrid, Spain in 2014 and 2016, respectively. Since 2015 he has been with the Radiofrequency Circuits, Antennas and Systems (RFCAS) group of this same university, where he works toward the PhD degree. His current research interests include the computer-aided design of horn antennas and passive waveguide devices, as well as the application of additive manufacturing techniques to the construction of waveguide devices. Jose L. Masa-Campos received the Master degree in 1999 and the PhD Degree in 2006, from the Universidad Politecnica de Madrid, Spain. From 1999 to 2003 he developed his professional activity in the R&D department of the company RYMSA with the design of base station antennas for mobile communications and satellite antennas. From 2002 to 2003 he directed the R&D department of RYMSA. From 2003 to 2007, he worked as Researcher for Universidad Politecnica de Madrid, and in 2005 he joined to Universidad Autonoma de Madrid as Associate Professor in the Radiofrequency Circuits, Antennas and Systems (RFCAS) group. His main current research interests are in active and passive planar array antennas. Jorge A. Ruiz-Cruz received the Ingeniero de Telecomunicacion degree and the PhD degree from the Universidad Politecnica de Madrid, Madrid, Spain, in 1999 and 2005, respectively. Since 2006, he has been with the Universidad Autonoma de Madrid, Madrid, where he became an Associate Professor in 2009. His current research interests include the computer-aided design of microwave passive devices and circuits (filters, multiplexers, and orthomodes). Byline: Lucas Polo-Lopez,Jose L. Masa-Campos,Jorge A. Ruiz-Cruz

3D printing and Testing equipment

Purpose of the research was to assess feasibility of fused deposition techniques (3D printing) for development of analytical equipment dedicated for specific dosage forms and for nonstandard applications. Dissolution profiles as well as 3D magnetic resonance imaging (MRI) of the buccal tablets during hydration in dissolution medium were analyzed. The principal result of the study was the first working example of rapid 3D prototyping of dedicated, MRI-compatible dissolution equipment for mucoadhesive buccal tablets. Rapid prototyping techniques were found to be a fast, inexpensive way to develop a dedicated dissolution testing setup. KEYWORDS: additive manufacturing, 3D printing, solid free-form fabrication, buccal bioadhesive tablets, 3D ultrashort echo time magnetic resonance imaging (3D UTE MRI), pharmaceutical dissolution testing equipment
INTRODUCTION The number of studies concerning application of three dimensional (3D) printing techniques in pharmaceutical technology has grown continuously since 2005, but the main interest in application of these techniques [...]

Rapid prototyping and College teachers

Byline: Michele Basso, Giacomo Innocenti Keywords: LEGO Mindstorms; Simulink; Robotic laboratory; rapid prototyping; bicycle ABSTRACT LEGO.sub.[c] Mindstorms is a widely spread affordable education robotic platform, that has recently gained native support from the Mathworks.sub.[c] simulation environment Simulink. The pros and cons of the integrated Mindstorms/Simulink framework are actually illustrated through a complex model based control design project featuring a self-stabilized bicycle, that represents a proper example of the rapid prototyping capability of the platform. The importance of such an integration is discussed taking into account the history and the results of the LEGO-based learning activities held at the Control Systems Laboratory of the University of Florence for graduate and undergraduate courses. [c] 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:947-958, 2015; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21666 Biographical information: Michele Basso received the Master's degree in electronic engineering from the University of Florence, Italy, in 1992, and the PhD degree in systems engineering from the University of Bologna, Italy, in 1997. From 1998 through 2010, he was an assistant professor at the Dipartimento di Sistemi e Informatica, University of Florence. Currently he is an associate professor at Dipartimento di Ingegneria dell'Informazione, University of Florence. He is also affiliated to the Center for Research on Complex Dynamics (CSDC) and a member of the Advisory Board of the Italian Ph.D. School of Information Engineering. He was an Associate Editor for the journal Communications in Nonlinear Science and Numerical Simulations from 2010 through 2014. His current research interests include nonlinear dynamical systems, scanning probe microscopy, and control education. Giacomo Innocenti graduated in 2004 in Computer Science at the Engineering School of University of Florence, Italy and in 2008 received the PhD in 'Nonlinear Dynamics and Complex Systems' from the same institution. He has been Postdoctoral Research Fellow and Adjunct Lecturer at University of Florence and at University of Siena. Since 2012 he has been Assistant Professor in Automatic Controls at University of Florence, where he teaches Industrial Automation to graduate students of the Engineering School. His scientific interests regard Nonlinear Control Systems and their practical applications.

Neural networks -- Analysis, Electrical engineering -- Analysis, Neural network, and Electrical engineering

Keywords Convolutional neural network; Hardware acceleration; Rapid system prototyping; Binarization; FPGA Abstract The huge model size and high computational complexity make emerging convolutional neural network (CNN) models unsuitable to deploy on current embedded or edge computing devices. Recently the binary neural network (BNN) is explored to help reduce network model size and avoid complex multiplication. In this paper, a binary network acceleration framework for rapid system prototyping is proposed to promote the deployment of CNNs on embedded devices. Firstly trainable scaling factors are adopted in binary network training to improve network accuracy performance. The hardware/software co-design framework supports various compact network structures such as residual block, 1 x 1 squeeze convolution layer, and depthwise separable convolution. With flexible network binarization and efficient hardware architecture optimization, the acceleration system is able to achieve over 2 TOPS throughput performance comparable to modern desktop GPU with much higher power efficiency. Author Affiliation: Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China * Corresponding author. Article History: Received 2 December 2019; Revised 19 February 2020; Accepted 8 March 2020 Byline: Zhe Xu [zhexu22-c@my.cityu.edu.hk], Ray C.C. Cheung [r.cheung@cityu.edu.hk] (*)