scholarly journals Software synthesis from dataflow schedule graphs

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Kyunghun Lee ◽  
Yaesop Lee ◽  
Abhay Raina ◽  
Yanzhou Liu ◽  
Jiahao Wu ◽  
...  
Keyword(s):  
Design Methodology ◽  
New Techniques ◽  
Design Processes ◽  
Design And Implementation ◽  
Seismic Sensors ◽  
Dataflow Model ◽  
Processing Resources ◽  
Dataflow Models ◽  
Measures Of Performance

AbstractThe dataflow-model of computation is widely used in design and implementation of signal processing systems. In dataflow-based design processes, scheduling—the assignment and coordination of computational modules across processing resources—is a critical task that affects practical measures of performance, including latency, throughput, energy consumption, and memory requirements. Dataflow schedule graphs (DSGs) provide a formal abstraction for representing schedules in dataflow-based design processes. The DSG abstraction allows designers to model a schedule as a separate dataflow graph, thereby providing a formal, abstract (platform- and language-independent) representation for the schedule. In this paper, we introduce a design methodology that is based on explicit specifications of application graphs and schedules as cooperating dataflow models. We also develop new techniques and tools for automatically synthesizing efficient implementations on multicore platforms from these coupled application and schedule models. We demonstrate the proposed methodology and synthesis techniques through a case study involving real-time detection of people and vehicles using acoustic and seismic sensors.

Causing a Stir

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Camilo POTOCNJAK-OXMAN
Keyword(s):  
Design Process ◽  
Collaborative Design ◽  
Entrepreneurial Activity ◽  
Design Team ◽  
Design Processes ◽  
Early Stages

Stir was a crowd-voted grants platform aimed at supporting creative youth in the early stages of an entrepreneurial journey. Developed through an in-depth, collaborative design process, between 2015 and 2018 it received close to two hundred projects and distributed over fifty grants to emerging creatives and became one of the most impactful programs aimed at increasing entrepreneurial activity in Canberra, Australia. The following case study will provide an overview of the methodology and process used by the design team in conceiving and developing this platform, highlighting how the community’s interests and competencies were embedded in the project itself. The case provides insights for people leading collaborative design processes, with specific emphasis on some of the characteristics on programs targeting creative youth

come_NET

2018 ◽  
Author(s):  
Konstantin Aal ◽  
Anne Weibert ◽  
Kai Schubert ◽  
Mary-Ann Sprenger ◽  
Thomas Von Rekowski
Keyword(s):  
Social Media ◽  
Design Process ◽  
Participatory Design ◽  
Controlled Environment ◽  
Design And Implementation ◽  
Neighborhood Contexts ◽  
Study Results ◽  
Computer Club ◽  
Close Cooperation

The case study presented in this chapter discusses the design and implementation of an online platform, “come_NET,” in the context of intercultural computer clubs in Germany. This tool was built in close cooperation with the children and adult computer club participants. It was designed to foster the sharing of ideas and experiences across distances, support collaboration, and make skills and expertise accessible to others in the local neighborhood contexts. In particular, the participatory-design process involving the children in the computer clubs fostered a profound understanding of the platform structure and functionalities. The study results show how younger children in particular were able to benefit, as the closed nature of the platform enabled them to gather experience as users of social media, but in a safe and controlled environment.

scholarly journals Determinants of urban sprawl in Latin America: evidence from Santiago de Chile

2021 ◽  
Vol 1 (8) ◽  
Author(s):  
Cristian Silva ◽  
Francisco Vergara-Perucich
Keyword(s):  
Latin America ◽  
Urban Sprawl ◽  
Capital City ◽  
Design And Implementation ◽  
Policy Context ◽  
Santiago De Chile ◽  
City Regions ◽  
Policy Frameworks ◽  
Social And Environmental Impacts

AbstractUrban sprawl has been widely discussed in regard of its economic, political, social and environmental impacts. Consequently, several planning policies have been placed to stop—or at least restrain—sprawling development. However, most of these policies have not been successful at all as anti-sprawl policies partially address only a few determinants of a multifaceted phenomenon. This includes processes of extended suburbanisation, peri-urbanisation and transformation of fringe/belt areas of city-regions. Using as a case study the capital city of Chile—Santiago—thirteen determinants of urban sprawl are identified as interlinked at the point of defining Santiago's sprawling geography as a distinctive space that deserves planning and policy approaches in its own right. Unpacking these determinants and the policy context within which they operate is important to better inform the design and implementation of more comprehensive policy frameworks to manage urban sprawl and its impacts.

scholarly journals APPLICATION OF DOMAIN INTEGRATED DESIGN METHODOLOGY FOR BIO-INSPIRED DESIGN- A CASE STUDY OF SUTURE PIN DESIGN

2021 ◽  
Vol 1 ◽  
pp. 487-496
Author(s):  
Pavan Tejaswi Velivela ◽  
Nikita Letov ◽  
Yuan Liu ◽  
Yaoyao Fiona Zhao
Keyword(s):  
Cross Sections ◽  
Design Methodology ◽  
Reaction Force ◽  
Integrated Design ◽  
Total Deformation ◽  
Insertion Force ◽  
Force Reaction ◽  
The Moment ◽  
Work Done

AbstractThis paper investigates the design and development of bio-inspired suture pins that would reduce the insertion force and thereby reducing the pain in the patients. Inspired by kingfisher's beak and porcupine quills, the conceptual design of the suture pin is developed by using a unique ideation methodology that is proposed in this research. The methodology is named as Domain Integrated Design, which involves in classifying bio-inspired structures into various domains. There is little work done on such bio-inspired multifunctional aspect. In this research we have categorized the vast biological functionalities into domains namely, cellular structures, shapes, cross-sections, and surfaces. Multi-functional bio-inspired structures are designed by combining different domains. In this research, the hypothesis is verified by simulating the total deformation of tissue and the needle at the moment of puncture. The results show that the bio-inspired suture pin has a low deformation on the tissue at higher velocities at the puncture point and low deformation in its own structure when an axial force (reaction force) is applied to its tip. This makes the design stiff and thus require less force of insertion.

Towards a taxonomy of intergenerational knowledge transfer practices

2018 ◽  
Vol 25 (2) ◽  
pp. 81-91
Author(s):  
Kerstin Kuyken ◽  
Mehran Ebrahimi ◽  
Anne-Laure Saives
Keyword(s):  
Knowledge Transfer ◽  
Comparative Study ◽  
Design Methodology ◽  
Qualitative Case Study ◽  
High Tech ◽  
Content Type ◽  
Case Study Design ◽  
Younger Workers ◽  
Intergenerational Knowledge

Purpose This paper aims to develop a better understanding of intergenerational knowledge transfer (IKT) practices by adopting a context-related and comparative perspective. Design/methodology/approach A qualitative case study design involving 83 interviews and non-participative observation in German and Quebec organizations has been chosen. Findings Two distinctive archetypes of IKT emerge from both national contexts: “we-individualizing” (Germany) and “I-connecting” (Quebec), leading to an eightfold taxonomy of IKT practices. Research limitations/implications This research is limited to young and senior workers and to high-tech sectors. Originality/value Comparative and inductive study of IKT, adaptation of IKT practices to national contexts, retaining younger workers. This inductive and comparative study allows a better adaptation of IKT practices to national contexts and therefore a better retention of younger workers.

Digital forensics and evolving cyber law: case of BIMSTEC countries

2019 ◽  
Vol 22 (4) ◽  
pp. 744-752
Author(s):  
Sisira Dharmasri Jayasekara ◽  
Iroshini Abeysekara
Keyword(s):  
Information Technology ◽  
Design Methodology ◽  
Digital Forensics ◽  
Content Type ◽  
Global Context ◽  
Study Approach ◽  
Legal Frameworks ◽  
Work Done

Purpose The purpose of this paper is to discuss the role of digital forensics in an evolving environment of cyber laws giving attention to Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) countries, comprising Bangladesh, India, Myanmar, Sri Lanka, Thailand, Nepal and Bhutan, in a dynamic global context. Design/methodology/approach This study uses a case study approach to discuss the digital forensics and cyber laws of BIMSTEC countries. The objective of the study was expected to be achieved by referring to decided cases in different jurisdictions. Cyber laws of BIMSTEC countries were studied for the purpose of this study. Findings The analysis revealed that BIMSTEC countries are required to amend legislation to support the growth of information technology. Most of the legislation are 10-15 years old and have not been amended to resolve issues on cyber jurisdictions. Research limitations/implications This study was limited to the members of the BIMSTEC. Originality/value This paper is an original work done by the authors who have discussed the issues of conducting investigations with respect to digital crimes in a rapidly changing environment of information technology and deficient legal frameworks.

Habemus Corpora: Reapproaching Philological Problems in the Age of ‘Big’ Data

2021 ◽  
Vol 139 (1) ◽  
pp. 94-127
Author(s):  
Mark Faulkner
Keyword(s):  
Big Data ◽  
Old English ◽  
English Language ◽  
Historical Research ◽  
British Library ◽  
New Techniques ◽  
Major Task ◽  
New Methodologies ◽  
Primary Focus

Abstract This paper demonstrates the potential of new methodologies for using existing corpora of medieval English to better contextualise linguistic variants, a major task of philology and a key underpinning of our ability to answer major literary-historical questions, such as when, where and to what purpose medieval texts and manuscripts were produced. The primary focus of the article is the assistance these methods can offer in dating the composition of texts, which it illustrates with a case study of the “Old” English Life of St Neot, uniquely preserved in the mid-twelfth-century South-Eastern homiliary, London, British Library, Cotton Vespasian D.xiv, fols. 4–169. While the Life has recently been dated around 1100, examining its orthography, lexis, syntax and style alongside that of all other English-language texts surviving from before 1150 using new techniques for searching the Dictionary of Old English Corpus suggests it is very unlikely to be this late. The article closes with some reflections on what book-historical research should prioritise as it further evolves into the digital age.

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

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