• Differential Learning for Outliers: A Case Study of Water Demand Prediction 

  Shah, Setu; Ben Miled, Zina; Schaefer, Rebecca; Berube, Steve (MDPI, 2018-11)

  Predicting water demands is becoming increasingly critical because of the scarcity of this natural resource. In fact, the subject was the focus of numerous studies by a large number of researchers around the world. Several ...
• Obtain a Simulation Model of a Pedestrian Collision Imminent Braking System Based on the Vehicle Testing Data 

  Tang, Bo; Chien, Stanley; Chen, Yaobin (IEEE, 2014-10)

  Forward pedestrian collision imminent braking (CIB) systems has proven to be of great significance in improving road safety and protecting pedestrians. Since pedestrian CIB technology is not mature, the performance of ...
• Optimum Adaptive Piecewise Linearization: An Estimation Approach in Wind Power 

  Vaezi, Masoud; Khayyer, Pardis; Izadian, Afshin (IEEE, 2016-06)

  This paper introduces an effective piecewise linearization technique to obtain an estimation of nonlinear models when their input-output domains include multidimensional operating points. The algorithm of a forward adaptive ...
• Dynamic thermal/acoustic response for human bone materials at different energy levels: A diagnosis approach 

  Thella, Ashok Kumar; Rizkalla, James; Rathi, Neeraj; Kakani, Monika; Helmy, Ahdy; Salama, Paul; Rizkalla, Maher E. (Elsevier, 2016-10-31)

  Background The non-invasive diagnostic approaches have gained high attention in recent years, utilizing high technology sensor systems, including infrared, microwave devices, acoustic transducers, etc. The patient safety, ...
• Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions 

  Qualls, Joseph; Russomanno, David J. (MDPI, 2011-08-29)

  The lack of knowledge models to represent sensor systems, algorithms, and missions makes opportunistically discovering a synthesis of systems and algorithms that can satisfy high-level mission specifications impractical. ...
• Dynamic Control of Adsorption Sensitivity for Photo-EMF-Based Ammonia Gas Sensors Using a Wireless Network 

  Vashpanov, Yuriy; Choo, Hyunseung; Kim, Dongsoo Stephen (MDPI, 2011-11-22)

  This paper proposes an adsorption sensitivity control method that uses a wireless network and illumination light intensity in a photo-electromagnetic field (EMF)-based gas sensor for measurements in real time of a wide ...
• A Distributed Continua AHD System with ZigBee/PAN-IF Gateway and Continua QoS Control Mechanism 

  Huang, Yung-Shun; Shih, Min; Shau, Yio-Wha; Lin, William T. (MDPI, 2012-07-25)

  In a residential or nursing home environment, using ZigBee/802.15.4 wireless network specifically to collect and gather various types of personal health data proves to be a feasible choice. The Continua Guidelines has ...
• Ontological Problem-Solving Framework for Dynamically Configuring Sensor Systems and Algorithms 

  Qualls, Joseph; Russomanno, David J. (MDPI, 2011-03-15)

  The deployment of ubiquitous sensor systems and algorithms has led to many challenges, such as matching sensor systems to compatible algorithms which are capable of satisfying a task. Compounding the challenges is the lack ...
• Non-invasive photo acoustic approach for human bone diagnosis 

  Thella, Ashok Kumar; Rizkalla, James; Helmy, Ahdy; Suryadevara, Vinay Kumar; Salama, Paul; Rizkalla, Maher (Elsevier, 2016-08-03)

  The existing modalities of bone diagnosis including X-ray and ultrasound may cite drawback in some cases related to health issues and penetration depth, while the ultrasound modality may lack image quality. Photo acoustic ...
• A Distributed Ledger for Supply Chain Physical Distribution Visibility 

  Wu, Haoyan; Li, Zhijie; King, Brian; Ben Miled, Zina; Wassick, John; Tazelaar, Jeffrey (MDPI, 2017-11-02)

  Supply chains (SC) span many geographies, modes and industries and involve several phases where data flows in both directions from suppliers, manufacturers, distributors, retailers, to customers. This data flow is necessary ...
• Electromagnetic Simulation of Non-Invasive Approach for the Diagnosis of Diabetic Foot Ulcers 

  Borkar, Roshen; Rizkalla, James; Kwon, Youngmin; Salama, Paul; Rizkalla, Maher (Elsevier, 2018)

  Diabetic foot ulcers are systemic diseases that affect all blood vessels within the human body. From major blood vessels to microvasculature, hardening, thickening, and narrowing of blood vessels ultimately results to ...
• Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks 

  Ho, David Joon; Fu, Chichen; Salama, Paul; Dunn, Kenneth W.; Delp, Edward J. (IEEE, 2017-07)

  Fluorescence microscopy enables one to visualize subcellular structures of living tissue or cells in three dimensions. This is especially true for two-photon microscopy using near-infrared light which can image deeper into ...
• Curriculum innovations through advancement of MEMS/NEMS and wearable devices technologies 

  Shayesteh, S.; Rizkalla, M.E.; El-Sharkawy, M. (2017)

  State of the art technologies using both micro- and nano-electromechanical systems (MEMS and NEMS) and wearable and Internet of Things (IoT) devices have impacted our daily lives in applications including wearable devices ...
• Vehicle-Pedestrian Dynamic Interaction through Tractography of Relative Movements and Articulated Pedestrian Pose Estimation 

  Mueid, Rifat; Christopher, Lauren; Tian, Renran (IEEE, 2016-10)

  To design robust Pre-Collision Systems (PCS) we must develop new techniques that will allow a better understanding of the vehicle-pedestrian dynamic relationship, and which can predict pedestrian future movements. This ...
• CentFlow: Centrality-Based Flow Balancing and Traffic Distribution for Higher Network Utilization 

  Challa, R.; Jeon, S.; Kim, D. S.; Choo, H. (IEEE, 2017)

  Next-generation networks (NGNs) are embracing two key principles of software defined networking (SDN) paradigm functional segregation of control and forwarding plane, and logical centralization of the control plane. A ...
• Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correction 

  Lee, Soonam; Salama, Paul; Dunn, Kenneth W.; Delp, Edward J. (IEEE, 2017-04)

  Image segmentation is an important step in the quantitative analysis of fluorescence microscopy data. Since fluorescence microscopy volumes suffer from intensity inhomogeneity, low image contrast and limited depth resolution, ...
• Alternative Breed of Three-Phase Four-Wire Shunt Compensators based on Cascaded Transformer with Single Dc-link 

  de Almeida Carlos, Gregory A.; Jacobina, Cursino B.; dos Santos Jr., Euzeli C. (IEEE, 2017-03)

  This paper introduces a new breed of four-wire (4W) multilevel shunt compensator to deal with either harmonic or reactive power compensation. The converter configurations are generalized for K-stages and the main benefits ...
• Boundary Segmentation For Fluorescence Microscopy Using Steerable Filters 

  Ho, David Joon; Salama, Paul; Dunn, Kenneth W.; Delp, Edward J. (SPIE, 2017)

  Fluorescence microscopy is used to image multiple subcellular structures in living cells which are not readily observed using conventional optical microscopy. Moreover, two-photon microscopy is widely used to image structures ...
• Does Bad News Spread Faster? 

  Fang, Anna; Ben-Miled, Zina (IEEE, 2017-01)

  Bad news travels fast. Although this concept may be intuitively accepted, there has been little evidence to confirm that the propagation of bad news differs from that of good news. In this paper, we examine the effect of ...
• Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration 

  Cong, Shan; Rizkalla, Maher; Salama, Paul (IEEE, 2016-10)

  The hippocampus is widely studied in neuroimaging field as it plays important roles in memory and learning. However, the critical subfield information is often not explored in most hippocampal studies. We previously proposed ...

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