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Articles 1 - 13 of 13
Full-Text Articles in Engineering
Effects Of Cal Poly Construction Management Software Curriculum On Graduate Employment Choices, Andrew Holland
Effects Of Cal Poly Construction Management Software Curriculum On Graduate Employment Choices, Andrew Holland
Construction Management
As technology continues to advance at an accelerated pace, the construction industry struggles to keep up with these rapid changes. Understanding and adopting new technologies, specifically software, are key to the future of the construction industry. Studies have shown that the slow adoption of software in the industry has more to do with a lack of training than the limitations of the software. New hires out of universities with experience and training in these software are the linchpin to adapting this industry to new technology. The Construction Management Department at Cal Poly is renowned for putting out new hires with …
Observed Risk And User Perception Of Road Infrastructure Safety Assessment For Cycling Mobility, Salvatore Cafiso, Giuseppina Pappalardo, Nikiforos Stamatiadis
Observed Risk And User Perception Of Road Infrastructure Safety Assessment For Cycling Mobility, Salvatore Cafiso, Giuseppina Pappalardo, Nikiforos Stamatiadis
Civil Engineering Faculty Publications
The opportunities for data collection in smart cities and communities provide new approaches for assessing risk of roadway components. This paper presents and compares two different methodological approaches for cycling safety assessment of objective and perceived risk. Objective risk was derived from speed and direction profiles collected with Global Navigation Satellite System (GNSS) and camera installed on an instrumented bicycle. Safety critical events between cyclists and other road users were identified and linked to five different roadway components. A panel of experts was asked to score the severity of the safety critical events using a Delphi process to reach consensus. …
Uncertainty-Aware Visualization In Medical Imaging - A Survey, Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Gerik Scheuermann
Uncertainty-Aware Visualization In Medical Imaging - A Survey, Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Gerik Scheuermann
Computer Science and Engineering Faculty Publications
Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. Visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be …
A Probabilistic Broadcasting Protocols In Mobile Ad Hoc Networks: A Bibliometric Survey, Sumit Kumar, Ayushi Kamboj
A Probabilistic Broadcasting Protocols In Mobile Ad Hoc Networks: A Bibliometric Survey, Sumit Kumar, Ayushi Kamboj
Library Philosophy and Practice (e-journal)
Broadcasting in Mobile ad hoc network is very crucial process and if not taken care led to Broadcast storm problem. Several Broadcasting techniques are proposed in the literature, but probabilistic broadcasting is the one the major technique which can really avoid the broadcasting storm problem. The protocols employing probabilistic broadcasting is surveyed in this bibliometric paper. The bibliometric survey aims to throw light on several types of protocols employed in Mobile ad hoc Network. The primary aim of this paper is to assess the amount of work done in the field of Probabilistic Broadcasting in Mobile ad hoc Network, as …
Contributing To Engineering Colleges Students' Development Through Out-Of-Class Involvement: A Survey Of Chinese Private Colleges' Engineering Students, Wanlu Li
Education (PhD) Dissertations
The purpose of this study was to investigate the primary characteristics of engineering college students’ involvement in out-of-class activities (OA) at one private college in China through the use of the translated and culturally adapted Chinese version of the Postsecondary Student Engagement Survey (PosSES 2.1). This study provides the statistical analyses of the survey data completed by 283 senior engineering students on their perceptions about their levels of involvement related to positive/negative outcomes students perceive and affective engagement. Data results showed all levels of involvement have a significant influence on positive outcomes. Besides, active involvement degree, hours, and types of …
A Bibliometric Survey On Antipodal Vivaldi Antenna, Sumit Kumar, Amruta S. Dixit
A Bibliometric Survey On Antipodal Vivaldi Antenna, Sumit Kumar, Amruta S. Dixit
Library Philosophy and Practice (e-journal)
In this paper bibliometric survey is presented on Antipodal Vivaldi Antenna. The Antipodal Vivaldi Antenna is a broad band and has symmetric E plane and H plane. It has been used extensively in radars, wireless communication and dual polarization applications. The antipodal Vivaldi antenna has significant researches in biomedical imaging, optical lens, Ground-Penetrating Radar (GPR) System, detecting cancer, 5G communications etc. The bibliometric analysis is done for the reason to understand the reach of antipodal Vivaldi antenna and performance enhancement analysis worldwide. The Scopus and web of science are used for accomplishing this survey. The study focuses on 449 documents …
Households Electricity Consumption Analysis: A Bibliometric Approach, Gaikwad Sachin Ramnath, Harikrishnan R
Households Electricity Consumption Analysis: A Bibliometric Approach, Gaikwad Sachin Ramnath, Harikrishnan R
Library Philosophy and Practice (e-journal)
The household electricity consumption ranks in the second position after the industrial electricity consumption, across the globe. This is because of the factors, which include, higher consumer income, electrification, digitalization and advancement in technologies. Moreover, the electricity demand is also depending on household characteristics, non-household characteristics and occupant’s behavior. The aim behind this study is to provide insights to researchers on household electricity consumption areas with different aspects, which includes factors affecting them, need of data collection, its approaches and techniques. To know about the research dedicated to the above-mentioned aspects, it is crucial to explore the Scopus database, refer …
Industry Perceptions On Public Sector Construction Delivery Methods, Evan Mccollough
Industry Perceptions On Public Sector Construction Delivery Methods, Evan Mccollough
Construction Management
The public construction sector in the United States has predominantly used the traditional delivery method, also known as design-bid-build, to obtain and deliver projects. Accurately assessing the direction of the public construction sector must include analysis of the emergence of Public-Private Partnerships (P3) and alternative delivery methods. P3 projects in the United States are relatively new, an emerging trend from the late 2000s as an innovative way to utilize private capital to finance public projects, beyond a typical bond sale. Alternative delivery methods refer to any project award or management arrangement other than the typical design-bid-build, lump sum, competitive bidding …
Bibliometric Survey On Multipurpose Face Recognition System Using Deep Learning, Priyanka Tupe-Waghmare, Rahul Raghvendra Joshi Prof.
Bibliometric Survey On Multipurpose Face Recognition System Using Deep Learning, Priyanka Tupe-Waghmare, Rahul Raghvendra Joshi Prof.
Library Philosophy and Practice (e-journal)
Face recognition is a new concept coming up lately and flourishing in the field of network access and multimedia information systems. Since humans are at the focus of attention in variety of applications containing videos, the concept of face recognition is rising in popularity. Several areas involving network security, retrieval and indexing of the content, and compression of videos gain a lot of benefit from the face recognition systems and related technology. Controlling the access of the networks with the help of facial recognition not only makes it difficult for the hackers to steal the information but also makes the …
Bibliometric Survey On Reconfigurable Antenna For Mimo Systems, Priyanka Tupe-Waghmare, Sanjeev Kumar Prof.
Bibliometric Survey On Reconfigurable Antenna For Mimo Systems, Priyanka Tupe-Waghmare, Sanjeev Kumar Prof.
Library Philosophy and Practice (e-journal)
The aim of this study is to analyse the work done on the frequency and polarization reconfigurability of antenna for various design types using the bibliometric study methods. Different articles on reconfigurable antennas for MIMO systems were retrieved using SCOPUS which is one of the most popular databases. The research articles published between 2004 to 2020 were considered and Scopus Analyser was used to fetch the analysis results namely document by source, author, subject, year and country. In the currently available literature, a lot of survey articles on the reconfigurable antennas and MIMO systems is available but there is no …
A Scoping Review Of Classification Of Concrete Cracks Using Deep Convolution Learning Approach, Priyanka Tupe-Waghmare, Rahul Raghvendra Joshi
A Scoping Review Of Classification Of Concrete Cracks Using Deep Convolution Learning Approach, Priyanka Tupe-Waghmare, Rahul Raghvendra Joshi
Library Philosophy and Practice (e-journal)
An important factor that causes defect in the concrete structure is the systematic damage and it is very difficult to detect the cracks by visual examination. Digital image processing has proven to be one of the best substitutes for the monitoring of the cracks. A traditional filter based on image processing algorithm is a classical approach for monitoring the cracks. Thereafter, the deep learning-based methods have been implemented to detect and classify the cracks on the concrete images and have shown significant results. The convolution neural network-based models have fairly observed and graded the cracks giving better performance in terms …
Adaptive Signal System Safety Impacts Final Report, Mashrur Chowdhury, Weiman Jin, M. Sabbir Salek, Sakib Mahmud Khan, Katherine Brunk, Patrick Gerard, Nathan Huynh, Mohammad Torkjazi
Adaptive Signal System Safety Impacts Final Report, Mashrur Chowdhury, Weiman Jin, M. Sabbir Salek, Sakib Mahmud Khan, Katherine Brunk, Patrick Gerard, Nathan Huynh, Mohammad Torkjazi
Publications
The research team conducted a literature review and a nation-wide survey at the beginning of the research. The literature review revealed that Adaptive Signal Control System (ASCS) was effective in reducing crashes in some studies, while in other studies, the crash reduction due to ASCS was not statistically significant. Twenty-eight states participated in the nation-wide survey and helped the research team identify corridor characteristics, such as the design speed and Annual Average Daily Traffic (AADT) of an ASCS corridor, which would allow for the best operational and safety outcomes. Then, to determine the safety effects of ASCS, the research team …
Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite
Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite
Library Philosophy and Practice (e-journal)
Background: Zero Knowledge Proof is a persuasive cryptographic protocol employed to provide data security by keeping the user's identity, using the services anonymously. Zero Knowledge Proof can be the preferred option to use in multiple circumstances. Instead of using the public key cryptographic protocols, the zero-knowledge proof usage does not expose or leak confidential data or information during the transmission. Zero Knowledge Proof protocols are comparatively lightweight; this results in making it efficient in terms of memory. Zero Knowledge Proof applications can reside in authentication, identity management, cryptocurrency transactions, and many more. Traditional authentication schemes are vulnerable to attacks …