A Survey and Taxonomy of Electronics Toolkits for Interactive and Ubiquitous Device Prototyping

2021 ◽  
Vol 5 (2) ◽  
pp. 1-24
Author(s):  
Mannu Lambrichts ◽  
Raf Ramakers ◽  
Steve Hodges ◽  
Sven Coppers ◽  
James Devine
Keyword(s):  
Online Survey ◽  
Electronic Devices ◽  
Target Audience ◽  
Future Research ◽  
User Needs ◽  
Design Features ◽  
Intended Application ◽  
The Past ◽  
Comprehensive Survey ◽  
Technical Specifications

Over the past two decades, many toolkits for prototyping interactive and ubiquitous electronic devices have been developed. Although their technical specifications are often easy to look up, they vary greatly in terms of design, features and target audience, resulting in very real strengths and weaknesses depending on the intended application. These less technical characteristics are often reported inconsistently, if at all. In this paper we provide a comprehensive survey of interactive and ubiquitous device prototyping toolkits, systematically analysing their characteristics within the framework of a new taxonomy that we present. In addition to the specific characteristics we cover, we introduce a way to evaluate toolkits more holistically, covering user needs such as 'ease of construction' and 'ease of moving from prototype to product' rather than features. We also present results from an online survey which offers new insights on how the surveyed users prioritize these characteristics during prototyping, and what techniques they use to move beyond prototyping. We hope our analysis will be valuable for others in the community who need to build and potentially scale out prototypes as part of their research. We end by identifying gaps that have not yet been addressed by existing offerings and discuss opportunities for future research into electronics prototyping toolkits.

scholarly journals Reported 1-year prevalence of occupational musculoskeletal disorders in Ontario chiropractors

2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Samuel J. Howarth ◽  
Anser Abbas ◽  
Sheilah Hogg-Johnson ◽  
Silvano Mior
Keyword(s):  
Musculoskeletal Disorders ◽  
Health Care Professionals ◽  
Online Survey ◽  
Qualitative Data ◽  
Body Position ◽  
Occupational Activity ◽  
Future Research ◽  
The Past ◽  
Lower Back ◽  
Physical Changes

Abstract Background Chiropractors are a particular subset of health care professionals that reportedly suffer occupational musculoskeletal disorders (MSDs), yet they have received minimal attention to date regarding mitigating risks of occupational injury. Our study determined the prevalence of occupationally-related MSDs in the preceding year, their bodily distribution, severity, and practice-related changes in practicing chiropractors in the province of Ontario. Methods We conducted a cross-sectional survey of chiropractors who were members of the Ontario Chiropractic Association (OCA) from January to March 2019. A three-part online survey was developed to ask chiropractors about specific details of MSDs they experienced in the past year and any practice-related changes they made as a result. Responses from participants provided both quantitative and qualitative data. Prevalence estimates were derived for quantitative data. Qualitative data were stratified by themes that were further divided into categories and subcategories. Demographic variables of the respondents and OCA membership were compared to determine representativeness. Results From the 432 responses (11.8% response rate), 59.1% reported experiencing an occupationally-related MSD in the past year. Survey respondents were demographically representative of the OCA membership. MSDs were most commonly reported for the lower back (38.3%), wrists/hands (38.1%) and neck (37.4%). Positioning/performing manipulation was the most common occupational activity for MSD of the upper extremity (53.1%) and lower back (34.8%). Chiropractors largely reported their MSDs did not prevent them from doing their normal work (77.4%), despite the fact that 43.2% reported experiencing their MSDs for more than 30 days in the previous year. Common reported work modifications were grouped under themes of practice and physical changes. Practice changes included reducing patient volume, hiring personnel and scheduling. Physical changes included using different office equipment, selecting different techniques requiring lower force and altering their hand contacts or body position when treating patients. Conclusions One-year prevalence of occupational MSDs from this study are comparable to previously reported estimates in chiropractors. These data suggest that chiropractors continue with their regular workload despite their MSDs, thereby increasing their chances of presenteeism. Chiropractors changing technique or technique parameters due to their MSDs provides direction for future research to reduce exposure to occupational MSD risk factors.

scholarly journals Review on Research and Developments of Sinks for Various Applications

2019 ◽  
pp. 1-26
Author(s):  
Wong Wei Syuen ◽  
Umar Nirmal ◽  
M. N. Ervina Efzan ◽  
Ammar Al Shalabi
Keyword(s):  
21St Century ◽  
State Of The Art ◽  
Future Research ◽  
User Needs ◽  
Design Features ◽  
Design And Development ◽  
Multiple Functions ◽  
Design Evolution ◽  
Multiple Function ◽  
The Future

In 21st century, kitchen sink is no longer a luxury for a house but has become a necessity. Human nowadays are pursuing for an advance kitchen sink with multiple function and ergonomic to the user. This work is a dedicated review on the design evolution of sinks from year 1973 till 2016. According to the patents review from year 1973, kitchen sink or faucet with multiple functions compiled with ergonomic features are invented and improved in its design from time to time. The patents discusses on the stand alone sink, portable basin that can be packed, use of flexible braided metal hose, sensor operated faucet, foldable kitchen sink and others design features which is crucial to the user. As part of an initiative to predict user needs in the future, future research on state of the art design and development of a smart ergonomic sink for home applications has been included in this work.

scholarly journals Deep Learning for Cyber Security Applications: A Comprehensive Survey

2021 ◽  
Author(s):  
vinayakumar R ◽  
Mamoun Alazab ◽  
Soman KP ◽  
Sriram Srinivasan ◽  
Sitalakshmi Venkatraman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Cyber Security ◽  
Smart Cities ◽  
Critical Discussion ◽  
Future Research ◽  
Next Generation ◽  
Security Applications ◽  
The Past ◽  
Comprehensive Survey

Deep Learning (DL), a novel form of machine learning (ML) is gaining much research interest due to its successful application in many classical artificial intelligence (AI) tasks as compared to classical ML algorithms (CMLAs). Recently, DL architectures are being innovatively modelled for diverse applications in the area of cyber security. The literature is now growing with DL architectures and their variations for exploring different innovative DL models and prototypes that can be tailored to suit specific cyber security applications. However, there is a gap in literature for a comprehensive survey reporting on such research studies. Many of the survey-based research have a focus on specific DL architectures and certain types of malicious attacks within a limited cyber security problem scenario of the past and lack futuristic review. This paper aims at providing a well-rounded and thorough survey of the past, present, and future DL architectures including next-generation cyber security scenarios related to intelligent automation, Internet of Things (IoT), Big Data (BD), Blockchain, cloud and edge technologies. <br>This paper presents a tutorial-style comprehensive review of the state-of-the-art DL architectures for diverse applications in cyber security by comparing and analysing the contributions and challenges from various recent research papers. Firstly, the uniqueness of the survey is in reporting the use of DL architectures for an extensive set of cybercrime detection approaches such as intrusion detection, malware and botnet detection, spam and phishing detection, network traffic analysis, binary analysis, insider threat detection, CAPTCHA analysis, and steganography. Secondly, the survey covers key DL architectures in cyber security application domains such as cryptography, cloud security, biometric security, IoT and edge computing. Thirdly, the need for DL based research is discussed for the next generation cyber security applications in cyber physical systems (CPS) that leverage on BD analytics, natural language processing (NLP), signal and image processing and blockchain technology for smart cities and Industry 4.0 of the future. Finally, a critical discussion on open challenges and new proposed DL architecture contributes towards future research directions.

scholarly journals Deep Learning for Cyber Security Applications: A Comprehensive Survey

2021 ◽  
Author(s):  
vinayakumar R ◽  
Mamoun Alazab ◽  
Soman KP ◽  
Sriram Srinivasan ◽  
Sitalakshmi Venkatraman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Cyber Security ◽  
Smart Cities ◽  
Critical Discussion ◽  
Future Research ◽  
Next Generation ◽  
Security Applications ◽  
The Past ◽  
Comprehensive Survey

Deep Learning (DL), a novel form of machine learning (ML) is gaining much research interest due to its successful application in many classical artificial intelligence (AI) tasks as compared to classical ML algorithms (CMLAs). Recently, DL architectures are being innovatively modelled for diverse applications in the area of cyber security. The literature is now growing with DL architectures and their variations for exploring different innovative DL models and prototypes that can be tailored to suit specific cyber security applications. However, there is a gap in literature for a comprehensive survey reporting on such research studies. Many of the survey-based research have a focus on specific DL architectures and certain types of malicious attacks within a limited cyber security problem scenario of the past and lack futuristic review. This paper aims at providing a well-rounded and thorough survey of the past, present, and future DL architectures including next-generation cyber security scenarios related to intelligent automation, Internet of Things (IoT), Big Data (BD), Blockchain, cloud and edge technologies. <br>This paper presents a tutorial-style comprehensive review of the state-of-the-art DL architectures for diverse applications in cyber security by comparing and analysing the contributions and challenges from various recent research papers. Firstly, the uniqueness of the survey is in reporting the use of DL architectures for an extensive set of cybercrime detection approaches such as intrusion detection, malware and botnet detection, spam and phishing detection, network traffic analysis, binary analysis, insider threat detection, CAPTCHA analysis, and steganography. Secondly, the survey covers key DL architectures in cyber security application domains such as cryptography, cloud security, biometric security, IoT and edge computing. Thirdly, the need for DL based research is discussed for the next generation cyber security applications in cyber physical systems (CPS) that leverage on BD analytics, natural language processing (NLP), signal and image processing and blockchain technology for smart cities and Industry 4.0 of the future. Finally, a critical discussion on open challenges and new proposed DL architecture contributes towards future research directions.

Data-driven Crowd Modeling Techniques: A Survey

2022 ◽  
Vol 32 (1) ◽  
pp. 1-33
Author(s):  
Jinghui Zhong ◽  
Dongrui Li ◽  
Zhixing Huang ◽  
Chengyu Lu ◽  
Wentong Cai
Keyword(s):  
Game Design ◽  
State Of The Art ◽  
Crowd Simulation ◽  
Data Driven ◽  
Future Research ◽  
Crowd Modeling ◽  
The Past ◽  
Modeling Techniques ◽  
Comprehensive Survey ◽  
Data Driven Modeling

Data-driven crowd modeling has now become a popular and effective approach for generating realistic crowd simulation and has been applied to a range of applications, such as anomaly detection and game design. In the past decades, a number of data-driven crowd modeling techniques have been proposed, providing many options for people to generate virtual crowd simulation. This article provides a comprehensive survey of these state-of-the-art data-driven modeling techniques. We first describe the commonly used datasets for crowd modeling. Then, we categorize and discuss the state-of-the-art data-driven crowd modeling methods. After that, data-driven crowd model validation techniques are discussed. Finally, six promising future research topics of data-driven crowd modeling are discussed.

A Comprehensive Review of Drop Impact Modeling on Portable Electronic Devices

2011 ◽  
Vol 64 (2) ◽  
Author(s):  
Y. H. Yau ◽  
Shijie Norman Hua
Keyword(s):  
Impact Analysis ◽  
Electronic Devices ◽  
Time Frame ◽  
Drop Impact ◽  
Current Status ◽  
Impact Performance ◽  
The Past ◽  
Comprehensive Survey ◽  
Board Level ◽  
Future Work

This article is dedicated to the review of publications on drop impact analysis performed on consumer electronic devices such as cellular phones and two-way radios in the past decade. Prior to the highlights of this review, the scope and motivation behind this work will be briefly explained. A comprehensive survey on published literatures devoted to the methodologies established to analyze the reliability of electronic products exposed to the event of drop impact is presented. The scope of the review is extended beyond product level analysis to also include drop impact study at board level. This type of review is novel and has not been published in the past. The focus will be on the different analytical and numerical modeling approaches and the current status of finite element method in predicting the drop impact performance of electronic devices. Of equal interest is the methodology adopted in past work to establish a correlation between numerical and experimental results. This article serves as a reference to all intended future work which could be an extension from the current known art of drop impact analysis on electronic devices. The time frame of this review is up to year 2010.

A survey on units ontologies: architecture, comparison and reuse

2017 ◽  
Vol 51 (2) ◽  
pp. 193-213 ◽  
Author(s):  
Xiaoming Zhang ◽  
Kai Li ◽  
Chongchong Zhao ◽  
Dongyu Pan
Keyword(s):  
Materials Science ◽  
Future Research ◽  
Design Features ◽  
Pattern Design ◽  
Content Type ◽  
Open Biomedical Ontologies ◽  
Science Domain ◽  
Comprehensive Survey ◽  
Comparison Criteria ◽  
Dimension Type

Purpose With the increasing spread of ontologies in various domains, units have gradually become an essential part of ontologies and units ontologies have been developed to offer a better expression ability for the practical usage. From the perspectives of architecture, comparison and reuse, the purpose of this paper is to provide a comprehensive survey on four mainstream units ontologies: quantity-unit-dimension-type, quantities, units, dimensions and values, ontology of units of measure and units ontology (UO) of the open biomedical ontologies, in order to address well the state of the art and the reuse strategies of the UO. Design/methodology/approach An architecture of units ontologies is presented, in which the relations between key factors (i.e. units of measure, quantity and dimension) are discussed. The criteria for comparing units ontologies are developed from the perspectives of organizational structure, pattern design and application scenario. Then, the authors compare four typical units ontologies based on the proposed comparison criteria. Furthermore, how to reuse these units ontologies is discussed in materials science domain by utilizing two reuse strategies of partial reference and complete reference. Findings Units ontologies have attracted high attention in the scientific domain. Based on the comparison of four popular units ontologies, this paper finds that different units ontologies have different design features from the perspectives of basis structure, units conversion and axioms design; a UO is better to be applied to the application areas that satisfy its design features; and many challenges remain to be done in the future research of the UO. Originality/value This paper makes an extensive review on units ontologies, by defining the comparison criteria and discussing the reuse strategies in the materials domain. Based on this investigation, guidelines are summarized for the selection and reuse of units ontologies.

scholarly journals Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends

2021 ◽  
Author(s):  
Felix von Haxthausen ◽  
Sven Böttger ◽  
Daniel Wulff ◽  
Jannis Hagenah ◽  
Verónica García-Vázquez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Autonomous Systems ◽  
Ultrasound Image ◽  
Image Understanding ◽  
Future Research ◽  
Future Trends ◽  
The Past ◽  
Technical Specifications ◽  
Robotic Ultrasound

Abstract Purpose of Review This review provides an overview of the most recent robotic ultrasound systems that have contemporary emerged over the past five years, highlighting their status and future directions. The systems are categorized based on their level of robot autonomy (LORA). Recent Findings Teleoperating systems show the highest level of technical maturity. Collaborative assisting and autonomous systems are still in the research phase, with a focus on ultrasound image processing and force adaptation strategies. However, missing key factors are clinical studies and appropriate safety strategies. Future research will likely focus on artificial intelligence and virtual/augmented reality to improve image understanding and ergonomics. Summary A review on robotic ultrasound systems is presented in which first technical specifications are outlined. Hereafter, the literature of the past five years is subdivided into teleoperation, collaborative assistance, or autonomous systems based on LORA. Finally, future trends for robotic ultrasound systems are reviewed with a focus on artificial intelligence and virtual/augmented reality.

Corrosion-induced tin whisker growth in electronic devices: a review

2017 ◽  
Vol 29 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Balázs Illés ◽  
Barbara Horváth ◽  
Attila Géczy ◽  
Olivér Krammer ◽  
Karel Dušek
Keyword(s):  
Literature Review ◽  
Whisker Growth ◽  
Electronic Devices ◽  
Lead Free ◽  
Future Research ◽  
Tin Whisker ◽  
Content Type ◽  
The Past ◽  
Surface Finishes ◽  
Inducing Factors

Purpose The aim of this paper is to present a review of the tin whisker growth phenomena. The study focuses mainly on whisker growth in a corrosive climate when the main inducing factor of the whisker growth is oxidation. The tin whisker phenomenon is still a big challenge in lead-free reflow soldering technology. Modern lead-free alloys and surface finishes with high tin content are considered to be possible sources of whisker development, also the evolution of electronic devices towards further complexity and miniaturization points to an escalation of the reliability risks. Design/methodology/approach The present work was based on a worldwide literature review of the substantial previous works in the past decade, as well as on the results and experience of the authors in this field. Findings The effect of corrosion on tin whisker growth has been under-represented in reports of mainstream research; however, in the past five years, significant results were obtained in the field which raised the corrosion phenomena from being a side effect category into one of the main inducing factors. This paper summarizes the most important findings of this field. Practical implications This literature review provides engineers and researchers with a better understanding of the role of corrosion in tin whisker growth and the current challenges in tin whisker mitigation. Originality/value The unique challenges and future research directions about the tin whisker phenomenon were shown to highlight rarely discussed risks and problems in lead-free soldering reliability.

Current Postvention Research and Priorities for the Future

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 202-206 ◽  
Author(s):  
Karl Andriessen ◽  
Dolores Angela Castelli Dransart ◽  
Julie Cerel ◽  
Myfanwy Maple
Keyword(s):  
Social Life ◽  
Online Survey ◽  
Research Priorities ◽  
Future Research ◽  
Physical And Mental Health ◽  
Intercultural Collaboration ◽  
The Social ◽  
The Future ◽  
Suicide Bereavement ◽  
Ethical Approval

Abstract. Background: Suicide can have a lasting impact on the social life as well as the physical and mental health of the bereaved. Targeted research is needed to better understand the nature of suicide bereavement and the effectiveness of support. Aims: To take stock of ongoing studies, and to inquire about future research priorities regarding suicide bereavement and postvention. Method: In March 2015, an online survey was widely disseminated in the suicidology community. Results: The questionnaire was accessed 77 times, and 22 records were included in the analysis. The respondents provided valuable information regarding current research projects and recommendations for the future. Limitations: Bearing in mind the modest number of replies, all from respondents in Westernized countries, it is not known how representative the findings are. Conclusion: The survey generated three strategies for future postvention research: increase intercultural collaboration, increase theory-driven research, and build bonds between research and practice. Future surveys should include experiences with obtaining research grants and ethical approval for postvention studies.

Sign in / Sign up

Export Citation Format

Share Document