Patents Assigned to The University of Louisiana at Lafayette
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Publication number: 20240152737Abstract: Disclosed herein is a method and device for absolute average deviation (AAD) pooling for a convolutional neural network accelerator. AAD utilizes the spatial locality of pixels using vertical and horizontal deviations to achieve higher accuracy, lower area, and lower power consumption than mixed pooling without increasing the computational complexity. AAD achieves 98% accuracy with lower computational and hardware costs compared to mixed pooling, making it an ideal pooling mechanism for an IoT CNN accelerator.Type: ApplicationFiled: October 24, 2023Publication date: May 9, 2024Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Kasem KHALIL, Omar Eldash, Ashtok Kumar, Magdy Bayoumi
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Publication number: 20240140844Abstract: Disclosed herein are well treatment composition and methods. In a specific embodiment, a well treatment composition includes: denatured algae, where the denatured algae have a protein content from about 20.0 wt % to about 90.0 wt %, and where the denatured algae have a lipid content from about 0.1 wt % to about 30.0 wt %; one or more carrier fluids; and one or more additives. In another specific embodiment, a method of making a well treatment composition can include contacting one or more algae with one or more denaturants to make a denatured algae, where the denatured algae have a protein content from about 20.0 wt % to about 90.0 wt %, and where the denatured algae have a lipid content from about 0.1 wt % to about 30.0 wt %; and contacting the denatured algae with one or more carrier fluids to make a well treatment composition.Type: ApplicationFiled: June 8, 2023Publication date: May 2, 2024Applicant: UNIVERSITY OF LOUISIANA AT LAFAYETTEInventors: William Chirdon, Peter Schexnayder, Garrett Thibodeaux, Nicholas Baudoin
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Publication number: 20240127069Abstract: An accelerator for training deep neural networks is provided. The accelerator includes a baseline architecture having an input buffer, a weight buffer, an output buffer, a buffer controller, and a two-dimensional array of processing elements. The array of processing elements is used in both convolutional and fully connected layers. The convolutional layer includes multiple filters. The output of each said filter in said convolutional layers is achieved by a weighted summation. In a preferred embodiment, each convolutional and fully connected layer is equipped with input/output buffers that fetch/store the input/output data. In a particularly preferred embodiment, each processing element can access the weight buffer that holds the weight vector.Type: ApplicationFiled: October 6, 2022Publication date: April 18, 2024Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Mohammadhassan NAJAF, Reza HOJABR, Kamyar GIVAKI, Kossar POURAHMADI, Parsa NOORALINEJAD, Ahmad KHONSARI, Dara RAHMATI
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Publication number: 20240119352Abstract: The method for obfuscating hardware partially imitates the neural network perceptron, obfuscating the hardware design. This method obfuscates the design functionality and immunes integrated circuits against Trojan insertion. This method can also be used to check for the existence of faults inside chips. This method resolves the concern related to security and reliability when outsourcing the manufacture of integrated circuits.Type: ApplicationFiled: July 10, 2023Publication date: April 11, 2024Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Siroos MADANI, Mohammad R. MADANI, Magdy BAYOUMI
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Patent number: 11926680Abstract: This invention provides a method whereby Si microparticles (“Si MP”) with low cost and nitrogen-abundant chitin fibers from crustacean shells are used as raw materials to produce Si nanoparticles and nitrogen doped carbon composite via a scalable ball milling method. During the ball-milling process, Si MP are downsized, and the chitin fibers are wrapped around the particles. The milled product is then post-thermally treated to obtain Si and nitrogen doped carbon composites.Type: GrantFiled: October 1, 2020Date of Patent: March 12, 2024Assignee: University of Louisiana at LafayetteInventor: Ling Fei
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Patent number: 11922336Abstract: The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration.Type: GrantFiled: July 23, 2021Date of Patent: March 5, 2024Assignee: University of Louisiana at LafayetteInventors: Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan
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Patent number: 11892113Abstract: The disclosed invention provides a device and method to detect leaks in pipelines and heal them instantly using twin ball technology. The device comprises two twin balls of novel construction inserted into the pipeline. The sensor ball receives acoustical data through internal sensors. Once the threshold of the sound level is surpassed, the smart ball will send a signal to the second flowing ball. The second ball will flow towards the leaking outlet and eject a healing fluid to close the leak and prevent further damage. The sensor ball will also alert the user to the size and location of the leak via Wi-Fi monitoring and text messaging. This twin balls technology could be used in pipelines of varying sizes and flow rates.Type: GrantFiled: July 16, 2021Date of Patent: February 6, 2024Assignee: University of Louisiana at LafayetteInventors: Abdennour Seibi, Wadie Chalgham
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Patent number: 11891547Abstract: A system and method for treatment of biomass originating from wastewater treatment biosolids to obtain valuable adhesives and composite materials is described herein. Some embodiments do not require purification of a biomass product or residue to produce an adhesive.Type: GrantFiled: March 18, 2021Date of Patent: February 6, 2024Assignee: University of Louisiana at LafayetteInventors: William Chirdon, Mark Zappi, Rafael Hernandez, Chelsea Trahan
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Patent number: 11884564Abstract: Claimed herein is a method of applying amorphous Co—SiOx to activate PMS and produce SO4·? due to the formation of Co(II)-Ov, pairs via the substitution of Si by Co. The inherent Co significantly change the electronic structure of O and Si atoms in the Co—SiOx via final state effects and increase the conductivity in terms of more effective electron transfers. The claimed method using Co—SiOx functions as a more effective oxidative catalyst for the faster degradation of pollutants. The simplicity of the synthetic procedures indicates that the conductive Co—SiOx could be used for the activation of PMS and other electrochemical applications on a wider scale.Type: GrantFiled: July 30, 2021Date of Patent: January 30, 2024Assignee: University of Louisiana at LafayetteInventors: Daniel Dianchen Gang, Qiyu Lian, Mark E. Zappi, William E. Holmes
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Publication number: 20230413734Abstract: This inventive method comprises regeneration of a hybrid plant via grafting between cross-incompatible species. By grafting and regenerating hybrid from the graft junction in selection media, the graft junction will regenerate hybrid plants with selection for the presence of both species.Type: ApplicationFiled: June 23, 2023Publication date: December 28, 2023Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Yi-Hong WANG, Chudamani Sharma Prakash, Jieqin Li
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Publication number: 20230366817Abstract: Disclosed herein is a methodology which quickly provides for the analysis of multiple luminescence decays from individual phosphor samples. The disclosed method utilizes a Trust-Region method to provide non-physical solutions when the fitting application was not provided with bounds for the respective intensities and decay times. Results from Double Decay were found to be statistically similar to data analyzed in methodologies known in the art.Type: ApplicationFiled: May 12, 2023Publication date: November 16, 2023Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: William A. HOLLERMAN, John MILLER, Tolga KARSILI, Steven ALLISON
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Patent number: 11802083Abstract: The current invention is a novel addition to the field and comprises a self-sensing high performance fiber reinforced Geopolymer composite (HPFR-GPC) with self-sensing ability. In one or more embodiment, the self-sensing abilities are created by the addition of high performance fibers into a Geopolymer composites. The HPFR-GPC exhibits smart, high performance, energy efficient, and sustainability characteristics including: enhanced tensile ductility, toughness, and strain hardening (including crack width control); improved piezoresistive effects; utilization of industrial by-product; high resistance to acid attacks; and lightweight, low density. When compared to current available embedded or attachable sensors, the current invention offers lower cost, higher durability, and a larger sensing volume.Type: GrantFiled: April 30, 2020Date of Patent: October 31, 2023Assignee: University of Louisiana at LafayetteInventors: Mohammad Jamal Khattak, Ahmed Khattab
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Patent number: 11741389Abstract: The method for obfuscating hardware partially imitates the neural network perceptron, obfuscating the hardware design. This method obfuscates the design functionality and immunes integrated circuits against Trojan insertion. This method can also be used to check for the existence of faults inside chips. This method resolves the concern related to security and reliability when outsourcing the manufacture of integrated circuits.Type: GrantFiled: February 7, 2019Date of Patent: August 29, 2023Assignee: University of Louisiana at LafayetteInventors: Siroos Madani, Mohammad R. Madani, Magdy Bayoumi
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Patent number: 11739253Abstract: Proteinaceous enhanced oil recovery operates on the principle that proteins can be denatured using chemicals to break them down into a viscous polymeric mixture that exhibits an EOR effect. In one or more embodiments, the proteins in question are sourced from an algae (spirulina) meal, which could be obtained as a waste product from wastewater treatment or bioprocessing operations, including biofuel production where the lipids are extracted for fuel but the large volumes of proteins are considered a waste material with little or negative value. In other embodiments, other biomasses are used, especially edible biomasses, thereby mitigating public resistance to drilling operations due to concerns of perceived toxicity of chemicals. This also mitigates legal liability from the use of chemicals that are known to be toxic. Additionally, the agents are denatured biomasses that have not undergone expensive purification or separation steps. This will make these agents highly cost competitive.Type: GrantFiled: September 4, 2020Date of Patent: August 29, 2023Assignee: University of Louisiana at LafayetteInventors: William Chirdon, Peter Schexnayder, Garrett Thibodeaux, Nicholas Baudoin
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Publication number: 20230266948Abstract: Herein disclosed is a method for automatically automatically infer a recursive state machine (RSM) describing the space of acceptable input of an arbitrary binary program. This method automatically identifies atomic fields of fixed and variable lengths and syntactic elements, such as separators and terminators, and generalizes them into regular expression tokens. It constructs an RSM of tokens to represent structures such as arrays and records. Further, it constructs nested states in RSM to represent complex, nested structures. The RSM may serve as an independent parser for the program's acceptable input.Type: ApplicationFiled: February 16, 2023Publication date: August 24, 2023Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Seshagiri Prabhu NARASIMHA, Arun Lakhotia
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Patent number: 11684666Abstract: Provided here are certain recombinant HIV compositions and animal models to evaluate prophylactic and therapeutic antiviral compositions.Type: GrantFiled: November 7, 2017Date of Patent: June 27, 2023Assignee: University of Louisiana at LafayetteInventors: Ruth M. Ruprecht, Samir K. Lakhashe
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Publication number: 20230195621Abstract: Disclosed herein is an architecture for in-memory sorting of data and methods by utilizing memristors crossbar arrays to perform in-memory sorting for both unary bit-stream and binary format data sets and method for utilizing same. Evaluations of the disclosed architecture and method reflect a significant reduction in energy costs and processing time as compared to currently available solutions.Type: ApplicationFiled: December 13, 2022Publication date: June 22, 2023Applicant: UNIVERSITY OF LOUISIANA LAFAYETTEInventors: Mohammadhassan NAJAFI, Mohsen Riahi Alam, Nima Taherinejad
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Patent number: 11671268Abstract: This invention provides a secure method for sending data—private, arrival-time messaging. Private, arrival-time messaging is based on classical physics and not quantum mechanics. It insures a private language for communicators with privately-synchronized clocks. In this method, there is no encrypted message available to an eavesdropper. A private message is mapped onto a time measurement known only to an intended sender and an intended receiver such that a third party knowing only the arrival time of the message and not the time measurement can never know the private message.Type: GrantFiled: May 6, 2020Date of Patent: June 6, 2023Assignee: University of Louisiana at LafayetteInventor: Louis Houston
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Patent number: 11664758Abstract: This invention comprises a panel or system of panels. Each panel comprises a top layer, which is comprised of tempered glass that is highly transparent to allow for maximum light wave transmission. These solar light waves are captured by the photovoltaic cell which comprises the second layer of the panel where this solar energy is converted into usable electrical energy. Vibrations experienced by the photopiezoelectric panel due to foot and lightweight vehicle traffic are absorbed by the PZT sheet layer, which is the third layer of the panel where they are converted into usable electrical energy. The fourth and final layer of the panel consists of the connector plate which serves as the hub and interconnection for gathering the generated electrical energies and transmitting them into the modular grid network to be consumed by various load devices, such as streetlights and other power-dependent city infrastructure.Type: GrantFiled: October 7, 2020Date of Patent: May 30, 2023Assignee: University of Louisiana at LafayetteInventors: Mohammad R. Madani, Michael S. Davis
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Patent number: 11639458Abstract: In order to substantially reduce friction during drilling operations, specialized lubricants need to be added to drilling fluid recipes. In general, lubricants reduce friction by forming a thin film of liquid that separates the solid surfaces in contact. The primary objective of this research is to evaluate the performance of enhanced activated sludge (EAS) as a lubricant in drilling fluids. EAS is activated sludge rich in lipids. The mixed consortium of microorganism in waste water treatment facilities in grown under a high carbon/nitrogen ratio to trigger lipid accumulation. Performance of EAS as drilling fluid additive was compared with commercial lubricants in terms of lubricity and flow properties. Lubricants were evaluated using water-based drilling mud at lubricant concentrations of 1.78, 3.11, 4.43, and 6.17 pounds per barrel (ppb). Experiments were carried out in a standard lubricity meter. The lubricity meter tests the ability of the lubricant in the drilling mud to reduce friction.Type: GrantFiled: November 5, 2019Date of Patent: May 2, 2023Assignee: University of Louisiana at LafayetteInventors: Gopi Chand Tripuraneni, Mark Zappi, Rafael Hernandez