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Articles 121 - 150 of 413
Full-Text Articles in Entire DC Network
Exploring The Limits Of Strategic Thought: Evaluating How Different Communication Modalities Affect The Nature Of Strategic Decision-Making Using Cognitive Hierarchy, Stephen D. Donnel
Exploring The Limits Of Strategic Thought: Evaluating How Different Communication Modalities Affect The Nature Of Strategic Decision-Making Using Cognitive Hierarchy, Stephen D. Donnel
Theses and Dissertations
This research examines and quantifies the degree to which both information communication modality and the situational complexity affect individuals' ability to process the provided information and determine an effective strategy. Human subject testing herein consists of benign benevolent intervention involving the presentation of a series of strategic situations. For each situation, a participant attempts to identify their best response for a two-player, normal-form game with complete information. In each such game, players seek to maximize their own utility while considering their own actions, their opponent's actions, and each player's respective preferences over outcomes resulting from the possible combinations of actions. …
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 …
Opportunities In The Irish Reinforced Concrete Industry For Lean And Bim Adoption, Bim Tudublin, Kieran Mcconnell
Opportunities In The Irish Reinforced Concrete Industry For Lean And Bim Adoption, Bim Tudublin, Kieran Mcconnell
Capstone Reports
The Irish Reinforced Concrete (RC) sector has yet to realise the full potential of Building Information Modelling (BIM) and Lean construction. The positive impacts and benefits of both BIM and Lean in the wider Architecture, Engineering and Construction sector are widely recognised; many of these are transferable to the RC sector, but there is limited research and knowledge on practical transference, uses and advantages. This research aims to fill some of the existing knowledge gaps by examining BIM and Lean adoption and awareness in the Irish RC sector across sub-sectors, professions, and organisational levels, and by exploring opportunities for increasing …
A Novel Hybrid Decision-Based Filter And Universal Edge-Based Logical Smoothingadd-On To Remove Impulsive Noise, Rajanbir Singh Ghumaan, Prateek Jeet Singh Sohi, Nikhil Sharma, Bharat Garg
A Novel Hybrid Decision-Based Filter And Universal Edge-Based Logical Smoothingadd-On To Remove Impulsive Noise, Rajanbir Singh Ghumaan, Prateek Jeet Singh Sohi, Nikhil Sharma, Bharat Garg
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel hybrid filter along with a universal extension to remove salt and pepper noise even at a very high noise density. The proposed filter initially specifies a threshold and then denoises the image using a combination of linear, nonlinear, and probabilistic techniques. Furthermore, to improve the quality, a universal add-on is presented which uses edge detection and smoothening techniques to brush out fine details from the restored image. To evaluate the efficacy, the proposed and existing filtering techniques are implemented in MATLAB and simulated with benchmark images. The simulation results show that the proposed filter is …
Efficient Hybrid Passive Method For The Detection And Localization Of Copy-Moveand Spliced Images, Navneet Kaur, Neeru Jindal, Kulbir Singh
Efficient Hybrid Passive Method For The Detection And Localization Of Copy-Moveand Spliced Images, Navneet Kaur, Neeru Jindal, Kulbir Singh
Turkish Journal of Electrical Engineering and Computer Sciences
Digital passive image forgery methods are extensively used to verify the authenticity and integrity of images.Splicing and copy-move are the most common types of passive digital image forgeries. Several approaches have beenproposed to detect these forgeries separately, but very few approaches are available that can detect them simultaneously.However, a more e?icient method is still in demand to meet the day-to-day challenges to detect these forgeries at thesame time. So, a passive hybrid approach based on discrete fractional cosine transform (DFrCT) and local binarypattern (LBP) is proposed to detect copy-move and splicing forgeries simultaneously. The extra parameter i.e. fractionalparameter of DFrCT …
An Evolutionary-Based Image Classification Approach Through Facial Attributes, Seli̇m Yilmaz, Cemi̇l Zalluhoğlu
An Evolutionary-Based Image Classification Approach Through Facial Attributes, Seli̇m Yilmaz, Cemi̇l Zalluhoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
With the recent developments in technology, there has been a significant increase in the studies on analysisof human faces. Through automatic analysis of faces, it is possible to know the gender, emotional state, and even theidentity of people from an image. Of them, identity or face recognition has became the most important task whichhas been studied for a long time now as it is crucial to take measurements for public security, credit card verification,criminal identification, and the like. In this study, we have proposed an evolutionary-based framework that relies ongenetic programming algorithm to evolve a binary- and multilabel image classifier …
Learning Multiview Deep Features From Skeletal Sign Language Videos Forrecognition, Ashraf Ali Shaik, Venkata Durga Prasad Mareedu, Venkata Vijaya Kishore Polurie
Learning Multiview Deep Features From Skeletal Sign Language Videos Forrecognition, Ashraf Ali Shaik, Venkata Durga Prasad Mareedu, Venkata Vijaya Kishore Polurie
Turkish Journal of Electrical Engineering and Computer Sciences
The most challenging objective in machine translation of sign language has been the machine?s inability tolearn interoccluding finger movements during an action process. This work addresses the problem of teaching a deeplearning model to recognize differently oriented skeletal data. The multi-view 2D skeletal sign language video data isobtained using 3D motion-captured system. A total of 9 signer views were used for training the proposed network andthe 6 for testing and validation. In order to obtain multi-view deep features for recognition, we proposed an end-to-endtrainable multistream convolutional neural network (CNN) with late feature fusion. The fused multiview features arethen inputted to …
Turkish Sign Language Recognition Based On Multistream Data Fusion, Cemi̇l Gündüz, Hüseyi̇n Polat
Turkish Sign Language Recognition Based On Multistream Data Fusion, Cemi̇l Gündüz, Hüseyi̇n Polat
Turkish Journal of Electrical Engineering and Computer Sciences
Sign languages are nonverbal, visual languages that hearing- or speech-impaired people use for communication.Aside from hands, other communication channels such as body posture and facial expressions are also valuable insign languages. As a result of the fact that the gestures in sign languages vary across countries, the significance ofcommunication channels in each sign language also differs. In this study, representing the communication channels usedin Turkish sign language, a total of 8 different data streams-4 RGB, 3 pose, 1 optical flow-were analyzed. Inception3D was used for RGB and optical flow; and LSTM-RNN was used for pose data streams. Experiments were conductedby …
6g Enabled Smart Infrastructure For Sustainable Society: Opportunities, Challenges, And Research Roadmap, Abotinam Lucky Imoize, Oluwadara Adedeji, Nistha Tandiya, Sachin Shetty
6g Enabled Smart Infrastructure For Sustainable Society: Opportunities, Challenges, And Research Roadmap, Abotinam Lucky Imoize, Oluwadara Adedeji, Nistha Tandiya, Sachin Shetty
VMASC Publications
The 5G wireless communication network is currently faced with the challenge of limited data speed exacerbated by the proliferation of billions of data-intensive applications. To address this problem, researchers are developing cutting-edge technologies for the envisioned 6G wireless communication standards to satisfy the escalating wireless services demands. Though some of the candidate technologies in the 5G standards will apply to 6G wireless networks, key disruptive technologies that will guarantee the desired quality of physical experience to achieve ubiquitous wireless connectivity are expected in 6G. This article first provides a foundational background on the evolution of different wireless communication standards to …
Automated Actuator Lubing Station, Logan Haid, Heather Sommers, Joshua Cummings, John Maly
Automated Actuator Lubing Station, Logan Haid, Heather Sommers, Joshua Cummings, John Maly
Williams Honors College, Honors Research Projects
For our senior design project, we partnered with Swagelok to create a working prototype of an automatic lubrication system that would allow for consistent application of a lubricant dispersed on the inside of a Swagelok-manufactured part. This device needed to be simple enough in design and operation so that Swagelok operators could properly lubricate the specific area on the inside of an actuator on a routine basis. The device created has a cylindrical housing that, when loaded with an actuator, will stabilize the part as a pneumatic cylinder drives a lubricant-dispensing head up into the actuator. As the cylinder retracts, …
Dynamic Biomechanical Characteristics Of The Optic Nerve Head By Oct Imaging, Jihee Kim
Dynamic Biomechanical Characteristics Of The Optic Nerve Head By Oct Imaging, Jihee Kim
All ETDs from UAB
Approximately 80 million people in the world were estimated to suffer from glaucoma in 2020. To date, lowering intraocular pressure (IOP) is the only clinical treatment to delay or prevent the development and progression of glaucomatous vision loss. However, many glaucoma patients have IOP in the normal range, while some people with abnormally high pressure do not develop neuropathy. This indicates that biomechanical responses of the optic nerve head (ONH) to changes in IOP can vary significantly among individuals. This study investigated acute IOP-induced compliance in the ONH via SDOCT imaging, using computer vision, and deep learning networks to improve …
Detection And Recognition Of Moving Video Objects: Kalman Filtering With Deep Learning, Hind Rustum Mohammed, Zahir M. Hussain
Detection And Recognition Of Moving Video Objects: Kalman Filtering With Deep Learning, Hind Rustum Mohammed, Zahir M. Hussain
Research outputs 2014 to 2021
© 2021. All rights reserved. Research in object recognition has lately found that Deep Convolutional Neuronal Networks (CNN) provide a breakthrough in detection scores, especially in video applications. This paper presents an approach for object recognition in videos by combining Kalman filter with CNN. Kalman filter is first applied for detection, removing the background and then cropping object. Kalman filtering achieves three important functions: predicting the future location of the object, reducing noise and interference from incorrect detections, and associating multi-objects to tracks. After detection and cropping the moving object, a CNN model will predict the category of object. The …
Coordination, Adaptation, And Complexity In Decision Fusion, Weiqiang Dong
Coordination, Adaptation, And Complexity In Decision Fusion, Weiqiang Dong
Dissertations
A parallel decentralized binary decision fusion architecture employs a bank of local detectors (LDs) that access a commonly-observed phenomenon. The system makes a binary decision about the phenomenon, accepting one of two hypotheses (H0 (“absent”) or H1 (“present”)). The k 1 LD uses a local decision rule to compress its local observations yk into a binary local decision uk; uk = 0 if the k 1 LD accepts H0 and uk = 1 if it accepts H1. The k 1 LD sends its decision uk over a noiseless dedicated channel to a Data Fusion Center (DFC). The DFC combines the …
Research And Application Of A Lightweight Real-Time Human Posture Detection Model, Hongkun Zhu, Jiawei Yin, Wenyu Feng, Hua Liang, Minrui Fei, Kun Zhang
Research And Application Of A Lightweight Real-Time Human Posture Detection Model, Hongkun Zhu, Jiawei Yin, Wenyu Feng, Hua Liang, Minrui Fei, Kun Zhang
Journal of System Simulation
Abstract: The traditional OpenPose model has good accuracy but slow speed in human posture detection. In order to accelerate the detection speed and reduce the model on condition of the detection precision, based on the traditional OpenPose model, the residual network with second-order term fusion is used to extract the low-level features, the weights of the trained model are pruned by the L1 norm weight, and an improved OpenPose model is proposed. Experiments show that when the detection accuracy is approximately equal to original model, the model size reduces to about 8%, the parameters reduces by nearly 83%, and the …
Fast 3d Medical Image Registration Based On Geometric Feature Invariants, Juping Gu, Tianyu Cheng, Jianping Wang, Hua Liang, Fengshen Zhao, Jiang Ling
Fast 3d Medical Image Registration Based On Geometric Feature Invariants, Juping Gu, Tianyu Cheng, Jianping Wang, Hua Liang, Fengshen Zhao, Jiang Ling
Journal of System Simulation
Abstract: Aiming at the of large amount of computational data and low registration efficiency in 3D cranial medical image registration, a fast registration method based on geometric feature space constraints is proposed. The algorithm extracts three-dimensional contour point clusters, and proposes a feature construction method based on the optimal fitting ring of point clusters. The feature rings and the centroids of each layer are used as feature quantities, and the fast registration is completed by using Iterative Closest Point (ICP) method. The experimental results show that the method has less computation amount, high satisfactory registration accuracy and much faster registration …
A Bibliometric Survey Of Fashion Analysis Using Artificial Intelligence, Seema Wazarkar, Shruti Patil, Satish Kumar
A Bibliometric Survey Of Fashion Analysis Using Artificial Intelligence, Seema Wazarkar, Shruti Patil, Satish Kumar
Library Philosophy and Practice (e-journal)
In the 21st century, clothing fashion has become an inevitable part of every individual human as it is considered a way to express their personality to the outside world. Currently the traditional fashion business models are experiencing a paradigm shift from being an experience-based business strategy implementation to a data driven intelligent business improvisation. Artificial Intelligence is acting as a catalyst to achieve the infusion of data intelligence into the fashion industry which aims at fostering all the business brackets such as supply chain management, trend analysis, fashion recommendation, sales forecasting, digitized shopping experience etc. The field of “Fashion …
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …
Towards Adaptive Reuse Of The Industrial Heritage In Minet El-Bassal District At Alexandria, Dina Mamdouh Nassar, Shahira Sharaf Eldin
Towards Adaptive Reuse Of The Industrial Heritage In Minet El-Bassal District At Alexandria, Dina Mamdouh Nassar, Shahira Sharaf Eldin
Architecture and Planning Journal (APJ)
Industrial properties are functional buildings. They are not built to fulfill the aesthetic needs of their users or communities. In urban areas of large cities, they are unlikely to have the privilege of attracting kudos for the communities in which they are situated. In Egypt, and precisely in the metropolitan city of Alexandria, Minet El-Bassal district was once a famous Alexandrian Industrial district. It was built around 1810 overlooking the only seaport in Egypt at that time. It consisted of headquarters of international trading companies, large store-houses, workers housing and "the bourse de cotton" an international marketing center for Egyptian …
Architectural Body: Performance As Design Methodology Facilitating Transformative Learning, Takako Hasegawa
Architectural Body: Performance As Design Methodology Facilitating Transformative Learning, Takako Hasegawa
Architecture and Planning Journal (APJ)
This paper will discuss multidisciplinary and experimental pedagogical case studies that place the importance of the body firmly back into architectural education. The advanced digital technologies currently employed almost universally in architectural education generate increasingly virtual and augmented design, resulting from processes that tend to be devoid of imagination of the body. The case studies discussed in this paper involved students’ direct participation in performative acts during the design process, facilitating positive transformative learning through direct experience. These include design briefs for Chelsea College of Arts (London, UK, 2009–2013), modules for the Architectural Association School of Architecture (AA) (London, UK, …
Networked Music Performance In Virtual Reality: Current Perspectives, Ben Loveridge
Networked Music Performance In Virtual Reality: Current Perspectives, Ben Loveridge
Journal of Network Music and Arts
The ability for musicians to interact face-to-face has been highly impacted by the COVID-19 pandemic. Physical distancing and travel restrictions have forced teaching, rehearsals, and performances to be moved online. The use of videoconference platforms designed for conversation has also meant accepting their limitations when used in musical contexts. For example, in networked music performance (NMP), low-latency audio is usually transmitted alongside a separate video image. Since videoconference systems usually have a higher degree of in-built delay, the result is that performers often ignore the video image of each other in order to maintain a steady rhythm. If musicians usually …
Second Act Conversion Of The Mercado De Xabregas, João Santa-Rita
Second Act Conversion Of The Mercado De Xabregas, João Santa-Rita
IntAR Interventions Adaptive Reuse
No abstract provided.
Under The Radar Joe Garlick On Real Estate Development And Equity, Elizabeth Debs, Liliane Wong
Under The Radar Joe Garlick On Real Estate Development And Equity, Elizabeth Debs, Liliane Wong
IntAR Interventions Adaptive Reuse
No abstract provided.
The Elephant Refuge 'Pre-Use' Vs ''Reuse', Heinrich Hermann
The Elephant Refuge 'Pre-Use' Vs ''Reuse', Heinrich Hermann
IntAR Interventions Adaptive Reuse
No abstract provided.
Appropriating Architecture Digital Graffiti As Temporary Spatial Intervention, Dorothée King
Appropriating Architecture Digital Graffiti As Temporary Spatial Intervention, Dorothée King
IntAR Interventions Adaptive Reuse
No abstract provided.
Being Architecture And Action From Descartes To Foucault, Barbara Stehle
Being Architecture And Action From Descartes To Foucault, Barbara Stehle
IntAR Interventions Adaptive Reuse
No abstract provided.
Empowering Actions The Participatory Renovations Of A Shelter, Christian Campagnaro, Nicoló Di Prima
Empowering Actions The Participatory Renovations Of A Shelter, Christian Campagnaro, Nicoló Di Prima
IntAR Interventions Adaptive Reuse
No abstract provided.
Free Speech Comes Home La Casa Del Hijo Del Ahuizote, Enrique Aureng Silva
Free Speech Comes Home La Casa Del Hijo Del Ahuizote, Enrique Aureng Silva
IntAR Interventions Adaptive Reuse
No abstract provided.
The Past Embodied In Action, Laura Gioeni
The Past Embodied In Action, Laura Gioeni
IntAR Interventions Adaptive Reuse
No abstract provided.
Klan Kosova Resisting New Order, Astrit Nixha
Klan Kosova Resisting New Order, Astrit Nixha
IntAR Interventions Adaptive Reuse
No abstract provided.
We Are Never Not Inside Discrete Objects And Nested Interiorities, Clay Odom
We Are Never Not Inside Discrete Objects And Nested Interiorities, Clay Odom
IntAR Interventions Adaptive Reuse
No abstract provided.