Effects of Structured Prototyping Support on Novice Designers’ Prototyping Plans

2021 ◽  
Author(s):  
Camilla Arndt Hansen ◽  
Tobias Eifler ◽  
Michael Deininger
Keyword(s):  
Design Teams ◽  
Support Tool ◽  
Design Performance ◽  
Different Types ◽  
Novice Designers ◽  
Better Than

Abstract Methodological support has the potential to improve the design performance of novice designers. This study investigated the effects that structured prototyping support has on novice designers’ prototyping plans. We compared the prototyping plans made by 33 design teams using minimum guidance with plans made using a prototyping support tool, the Prototyping Planner. Specifically, the questions answered in the plans, the testing purpose, and the plan structure were compared. Unsupported plans varied in length and scope. Some teams focused on a few selected tests while others used their plans to brainstorm multiple different types of tests without planning how to execute them. 81% of novice designers agreed that their supported prototyping plans were better than their unsupported plans. The Prototyping Planner ensured that all teams selected a clear and narrow purpose for their prototype and planned how to execute it. Plan length increased 12% overall and more for the teams that had made the shortest initial plans. This research shows that different types of prototyping plans exist. The Prototyping Planner supports novice designers well in planning a specific prototyping activity, but to support planning of the prototyping process it must be extended or used in combination with other support.

scholarly journals NOVICE DESIGNERS' USE OF PARTITIONING STRATEGIES TO NAVIGATE THE PROTOTYPING PROCESS

2021 ◽  
Vol 1 ◽  
pp. 2267-2276
Author(s):  
Camilla Arndt Hansen ◽  
Michael Deininger
Keyword(s):  
Product Development ◽  
Development Process ◽  
Development Project ◽  
Product Development Process ◽  
Design Teams ◽  
Different Types ◽  
Novice Designers ◽  
Do So

AbstractPrototypes can be used to create value in all phases of the product development process. Prototyping strategies that determine how prototypes are developed should therefore be considered for the prototyping process as a whole. In this paper, we analyse how partitioning strategies were used by ten novice design teams to navigate their prototyping processes during a three-week mechatronic development project. Using the ‘ProtoMapping’ method, their prototyping strategies were visualized and five different types of strategies identified. Four of the ten teams formally planned how to divide their product into modules that could be prototyped in parallel or planned when to integrate prototypes to test the full product. Still, the ProtoMaps showed that most of the teams used some partitioning strategies during their project even when they did not formally decide to do so. Novice designers should be supported in making such strategies for the prototyping process deliberately. Therefore, prototyping tools should be expanded to support not only individual prototyping activities but also the prototyping process.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

2020 ◽  
Vol 13 (5) ◽  
pp. 884-892
Author(s):  
Sartaj Ahmad ◽  
Ashutosh Gupta ◽  
Neeraj Kumar Gupta
Keyword(s):  
Decision Making ◽  
Online Shopping ◽  
Recent Time ◽  
Design Development ◽  
Different Types ◽  
Feature Based ◽  
Use Of Internet ◽  
Day By Day ◽  
Better Than

Background: In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured. Objective: In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews. Methods: Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms. Results: Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results. Conclusion: Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.

scholarly journals Fighting Together against the Pandemic: Learning Multiple Models on Tomography Images for COVID-19 Diagnosis

AI ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 261-273
Author(s):  
Mario Manzo ◽  
Simone Pellino
Keyword(s):  
Network Architecture ◽  
State Of The Art ◽  
Ensemble Classification ◽  
Effective Vaccine ◽  
Rt Pcr ◽  
Neural Network Architecture ◽  
Experimental Phase ◽  
Different Types ◽  
Polymerase Chain ◽  
Better Than

COVID-19 has been a great challenge for humanity since the year 2020. The whole world has made a huge effort to find an effective vaccine in order to save those not yet infected. The alternative solution is early diagnosis, carried out through real-time polymerase chain reaction (RT-PCR) tests or thorax Computer Tomography (CT) scan images. Deep learning algorithms, specifically convolutional neural networks, represent a methodology for image analysis. They optimize the classification design task, which is essential for an automatic approach with different types of images, including medical. In this paper, we adopt a pretrained deep convolutional neural network architecture in order to diagnose COVID-19 disease from CT images. Our idea is inspired by what the whole of humanity is achieving, as the set of multiple contributions is better than any single one for the fight against the pandemic. First, we adapt, and subsequently retrain for our assumption, some neural architectures that have been adopted in other application domains. Secondly, we combine the knowledge extracted from images by the neural architectures in an ensemble classification context. Our experimental phase is performed on a CT image dataset, and the results obtained show the effectiveness of the proposed approach with respect to the state-of-the-art competitors.

scholarly journals NOVICE DESIGNERS' USE OF PROTOTYPES AS COMMUNICATION TOOLS

2021 ◽  
Vol 1 ◽  
pp. 2277-2286
Author(s):  
Sandeep Krishnakumar ◽  
Carlye Lauff ◽  
Christopher McComb ◽  
Catherine Berdanier ◽  
Jessica Menold
Keyword(s):  
Adverse Outcomes ◽  
Design Teams ◽  
Prior Work ◽  
Communication Tools ◽  
Design Decisions ◽  
Pedagogical Strategies ◽  
Critical Design ◽  
Undergraduate Engineering ◽  
Novice Designers ◽  
Future Work

AbstractPrototypes are critical design artifacts, and recent studies have established the ability of prototypes to facilitate communication. However, prior work suggests that novice designers often fail to perceive prototypes as effective communication tools, and struggle to rationalize design decisions made during prototyping tasks. To understand the interactions between communication and prototypes, design pitches from 40 undergraduate engineering design teams were collected and qualitatively analysed. Our findings suggest that students used prototypes to explain and persuade, aligning with prior studies of design practitioners. The results also suggest that students tend to use prototypes to justify design decisions and adverse outcomes. Future work will seek to understand novice designers’ use of prototypes as communication tools in further depth. Ultimately, this work will inform the creation of pedagogical strategies to provide students with the skills needed to effectively communicate design solutions and intent.

scholarly journals Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
Imayanmosha Wahlang ◽  
Arnab Kumar Maji ◽  
Goutam Saha ◽  
Prasun Chakrabarti ◽  
Michal Jasinski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Variational Autoencoder ◽  
Different Types ◽  
Static Images ◽  
Long Short Term Memory ◽  
2D And 3D ◽  
Better Than

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abnormal (presence of abnormalities) has been done, using 2D echo images, 3D Doppler images, and videographic images. Secondly, based on different types of regurgitation, namely, Mitral Regurgitation (MR), Aortic Regurgitation (AR), Tricuspid Regurgitation (TR), and a combination of the three types of regurgitation are classified using videographic echo images. Two deep-learning methodologies are used for these purposes, a Recurrent Neural Network (RNN) based methodology (Long Short Term Memory (LSTM)) and an Autoencoder based methodology (Variational AutoEncoder (VAE)). The use of videographic images distinguished this work from the existing work using SVM (Support Vector Machine) and also application of deep-learning methodologies is the first of many in this particular field. It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification. Overall, VAE performs better in 2D and 3D Doppler images (static images) while LSTM performs better in the case of videographic images.

scholarly journals WHAT IS SUCCESSFUL PROTOTYPING? INSIGHTS FROM NOVICE DESIGNERS’ SELF-EVALUATION OF PROTOTYPING SUCCESS

2021 ◽  
Vol 1 ◽  
pp. 3431-3440
Author(s):  
Camilla Arndt Hansen ◽  
Nuno Miguel Martins Pacheco ◽  
Ali Gürcan Özkil ◽  
Markus Zimmermann
Keyword(s):  
Design Teams ◽  
Fidelity Level ◽  
Design Decisions ◽  
Human Centered Design ◽  
Development Stages ◽  
Self Evaluation ◽  
Fuzzy Front End ◽  
Front End ◽  
Success Criteria ◽  
Novice Designers

AbstractPrototyping is essential for fuzzy front-end product development. The prototyping process answers questions about critical assumptions and supports design decisions, but it is often unstructured and context-dependent. Previously, we showed how to guide novice designers in early development stages with prototyping milestones. Here, we studied the prototyping success perceived by novice design teams. This was done in two steps: (1) teams were asked to assign each prototype to a milestone, a specific purpose, a fidelity level, and a human-centered design lens, and then evaluate the success using a predefined set of criteria. (2) Teams were interviewed about the success of the prototyping process, this time using self-chosen criteria. Results related to (1) show that teams perceived prototyping activities with respect to desirability and problem validation significantly less successful than prototyping activities towards feasibility and solution validation. Results related to (2) show that teams mostly chose success criteria related to how well prototypes supported communication, decision making, learning, and tangibility. This insight may be used to give priorities to further improvement of methods and guidance in these areas.

Etude par spectrométrie infrarouge de l'action de solvants aprotiques sur l'association ester–eau et ester–Ba2+. Discussion du rôle catalytique du solvant et de l'ion Ba2+ dans l'hydrolyse alcaline du propionate de methyle

1979 ◽  
Vol 57 (4) ◽  
pp. 400-403 ◽  
Author(s):  
Anne Le Narvor ◽  
Pierre Saumagne
Keyword(s):  
Ir Spectra ◽  
Charge Density ◽  
Carbonyl Group ◽  
Alkaline Hydrolysis ◽  
Experimental Results ◽  
Methyl Propionate ◽  
Orbital Control ◽  
Different Types ◽  
Kinetics Of ◽  
Better Than

The ir spectra of mixtures of methyl propionate/water and methyl propionate/Ba2+ in dimethylsulfoxide and in acetonitrile have been recorded in the region of the νCO mode of the ester. Evidence is presented to indicate the presence of different types of complexes; their concentration was determined as a function of the composition of the medium. The spectroscopic results are compared to those from the kinetics of the alkaline hydrolysis in the same conditions. It is demonstrated that the orbital control explains the experimental results better than does the charge density on the carbon of the carbonyl group. [Journal translation]

The structures of benzimidazole derivatives and their potential as tuberculostatics

2018 ◽  
Vol 74 (12) ◽  
pp. 1684-1691
Author(s):  
Marek L. Główka ◽  
Sylwia Kałużyńska ◽  
Malwina Krause ◽  
Katarzyna Gobis ◽  
Henryk Foks ◽  
...  
Keyword(s):  
Multidrug Resistant ◽  
Benzimidazole Derivatives ◽  
X Ray Diffraction ◽  
Intermolecular Hydrogen Bonds ◽  
X Ray ◽  
Resistant Varieties ◽  
Different Types ◽  
Mdr Tb ◽  
Aromatic Systems ◽  
Better Than

Tuberculosis still remains a very important problem, especially its multidrug resistant varieties (MDR-TB). Among the potential tuberculostatics, there are two benzimidazole derivatives, namely 5,6-dimethyl-2-phenylethylbenzo[d]imidazole (1) and (E)-5,6-dimethyl-2-styryl-1H-benzo[d]imidazole (2) which showed significant tuberculostatic activities, better than those of Pyrazinamide and Isoniazyd. Also, the cytotoxicity of 1 appeared promising. The compounds were studied (with the use of X-ray diffraction) in the form of the hemihydrate of 1, C17H18N2·0.5H2O (1a), the methanol hemisolvate of 2, C17H16N2·0.5CH3OH (2a), and the acid oxalate salt of 2, namely (E)-5,6-dimethyl-2-styryl-1H-benzo[d]imidazolium hydrogen oxalate, C17H17N2 +·C2HO4 − (2b). All three structures reveal a similar extended conformation, despite the flexible linker between the two aromatic systems and the different types of strong intermolecular hydrogen bonds. The molecules of 2a are practically planar due to the double bond in the linker, which enables conjugation along the whole molecule, while the molecules of 1a exhibit the possibility of parallel orientations of their aromatic systems, despite the aliphatic (ethyl) linker.

Free-Choice, Final Performance and Attitudes toward Different Types of Programmed Instruction

1973 ◽  
Vol 155 (3) ◽  
pp. 56-63
Author(s):  
Avraham Scherman ◽  
Marion Scherman
Keyword(s):  
Free Choice ◽  
Programmed Instruction ◽  
Traditional Lecture ◽  
Fourth Class ◽  
Choice Group ◽  
Different Types ◽  
Mode Of Instruction ◽  
Experimental Subjects ◽  
Better Than ◽  
Instruction Approach

One-hundred thirty-six students enrolled in four classes of a counseling theories course served as the experimental subjects. In three classes students were randomly assigned to one of three modes of instruction: prose-text, linear programmed instruction, and branching programmed instruction. Subjects from the fourth class were given free choice to select the mode of instruction preferred. It was found that the free-choice group performed better than the linear and branching programmed instruction groups, although not significantly better than the prose-text group. In response to a questionnaire, males stated that when compared to traditional lecture-type courses, the programmed instruction approach helped them concentrate and resulted in a more efficient use of their time. Females did not think that the use of programmed instruction offered an interesting and stimulating approach.

Use of computational fluid dynamics to model reservoir mixing and destratification

1998 ◽  
Vol 37 (2) ◽  
pp. 227-234
Author(s):  
Julian D. Cox ◽  
Martin B. Padley ◽  
Joe Hannon
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Reverse Flow ◽  
Dynamics Model ◽  
Artificial Mixing ◽  
Effective Operation ◽  
Different Types ◽  
Blade Mixer ◽  
Perforated Pipe ◽  
Better Than

Destratification of reservoirs by the use of artificial mixing is a method of improving the impounded water quality. In order to design a destratification device at Stocks Reservoir, NW England, a Computational Fluid Dynamics model was used to trial different types and sizes of mixing device. It was found that a perforated pipe bubble mixing device performed far better than a large banana blade mixer at destratifying Stocks Reservoir. Two important criteria for the effective operation of a mixing device were established. These were a minimum upflow velocity of entrained water through the reservoir, and the need for a reverse flow along the surface of the reservoir away from the abstraction point. These criteria have been incorporated into design equations which can be extended to use at other reservoirs. A bubble mixer was installed at Stocks Reservoir, and has been shown to fully destratify the reservoir and to reduce the levels of dissolved manganese in the water by more than 50%.

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