Digital Commons Network^™

Folder 20, Dedication, New Law School Building, March 21-25, 1950, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 21, Dedication, New Law School Building, March 27-31, 1950, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 22, Dedication, New Law School Building, April 3-10, 1950, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Practical Anisotropy Of Reflectance Standards, Mark Helmlinger

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Factory calibration documents for sintered PTFE and painted reflectance standards specify diffuse hemispherical reflectance at 8 degrees incidence, nadir collection. This measurement is an isotropic mean of azimuth angles. In practice, targets are measured at very specific azimuthal incidence and collection angles, requiring more rigorous BRDF knowledge if certainties of less than 2% are desired. In this presentation, a practical method for determining the azimuthal dependence of nadir collected reflectance at various incident illumination zenith angles is described and discussed.

Folder 3, Alumni Business And Announcement Cards, H-P, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 4, Alumni Business And Announcement Cards, R-Z, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 5, Alumni Notes, Newspaper Clippings, Miscellany, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 6, Class Of 1950 Endowment Fund, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 7, Commencement Invitation, 1955, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 8, Comprehensive Examination, 1953, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 9, Correspondence Re Current And Former Students, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 10, Data Re Chancellor William Harper, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Dean Samuel Lander Prince Files, 1946-1959 - Guide, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 1, Admissions, 1947-1949, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Folder 2, Alumni Business And Announcement Cards, A-G, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

Spectral Quantum Efficiency Calibration Of Mid-Infrared Single Photon Detectors, Grant Teply

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Superconducting Nanowire Single Photon Detectors (SNSPDs) can count individual photon hits with a very high efficiency, a very low dark count rate, and very fine time resolution. Since the output is naturally digital, they are an especially promising technology for space missions including NASA’s Origins Space Telescope and Large Interferometer For Exoplanets (LIFE). Over the past 5 years, significant progress has been made in the development of SNSPDs that can sense lower energy photons such as those in the mid-infrared, but the quantum efficiency of these devices remains poorly quantified. The Low Background Infrared (LBIR) facility at NIST has a …

How To Make Radiometric Vicarious Calibration Methods Ready For The Upcoming Space Projects, Damien Rodat, Morgane Chapelier, Sophie Coustance, Emilie Delogu, Camille Desjardins, Arthur Dick, Morgane Farradeche, Lucas Landier, Clement Luitot, Sebastien Marcq, Aime Meygret, Charlotte Revel, Thierry Erudel, Morgan Farges, Xavier Lenot, Martin Bachmann, Emiliano Carmona, Laura La Porta, Miguel Pato, Karl Segl, Lorenzo Giampietri, Ettore Lopinto, Francesco Sarti

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

The space projects are always designed to push back the frontiers of what is feasible, focusing for instance on spatial, spectral and/or temporal aspects. In any case, the radiometric quality has to meet the end-user’s requirements, which may also be higher and higher. In the frame of optical Earth observation, the French space agency (CNES) is involved in a large panel of upcoming projects addressing new challenges such as the very high spectral resolution for carbon dioxide monitoring with MICROCARB, the combination of both spatial and spectral resolution for a spectro-imager, the thermal infrared domain with TRISHNA, the polarisation with …

Developing A Consistent And Coordinated Response From The National Metrology Institutes’ Radiometry Community To The Needs Of The Earth Remote Sensing Satellite-Observation Communities, Michelle Stephens, Emma Wolliams

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Modern satellite-based Earth observation measurements demand long-term data records that span multiple missions with reduced uncertainties. SI-traceability and robust uncertainty analyses are key aspects to meeting these demanding requirements. In this presentation we report on the activities of the CCPR-WG-SP TG17, an international task force created within the Bureau International des Poids et Mesures (BIPM) to provide a consistent and coordinated response from the National Metrology Institute (NMI) radiometry community to the needs of the satellite-observation communities.

The BIPM is the international organization through which National Metrology Institutes work together on matters related to metrology. Within the BIPM, the Consultative …

Intelligent Intrusion Detection In Clustered Wireless Sensor Networks: A Dynamic Clustering And Machine Learning-Based Approach, Abdullah R. Abdulwahhab, Mohd Fadzli Mohd Salleh, Muhammad Firdaus Akb, Mohammed Najm Abdullah

Iraqi Journal for Computer Science and Mathematics

Traditional Intrusion Detection Systems (IDS) designed for more conventional network infrastructures are often ill-equipped to handle the unique challenges WSNs pose, leading to significant gaps in security and resilience. This paper introduces an Intelligent Intrusion Detection System (IIDS) explicitly tailored for clustered WSNs to address these critical challenges. The proposed IIDS integrates dynamic clustering with advanced machine learning algorithms to create a robust and adaptive security solution capable of real-time threat detection and mitigation. The dynamic clustering mechanism is designed to continuously monitor and respond to changes in sensor node network topology and energy levels, ensuring that energy consumption is …

Non-Overlapping Patch-Based Pre-Trained Cnn For Breast Cancer Classification, Lamyaa Sabeeh Ashour, Ahmed Abed Mohammed, Mustafa M. Abd Zaid, Putra Sumari, Ahmed Kateb Jumaah Al-Nussairi, Sura Abdulateef Al-Shammari, Sarah Thabit Abdulmunem

Iraqi Journal for Computer Science and Mathematics

Breast cancer (BC) significantly impacts women's mortality rates and requires early detection to improve survival chances and enable appropriate treatment. Thus, a computer-aided system with high performance can speed up this process. A convolutional neural network (CNN) is considered sensitive to insufficient, noisy data. It cannot achieve high performance, however, restricted access to high-quality medical data, stemming from stringent confidentiality and privacy issues, is a considerable obstacle to the successful training of deep learning models. The current study aims to develop a remarkable, influential model for BC classification whilst considering modern pre-trained models ResNet50, AlexNet, InceptionV3 and VGG16 for extracting …

Retracted: Navigating The Complexities And Artificial Intelligence Of Internet Of Things Security Claims, Tamara Saad Mohamed, Saad Mohammed Khalifah

Iraqi Journal for Computer Science and Mathematics

The term ``Internet of Things'' (IoT) describes a system that allows everyday objects to communicate with one another and with controlled systems, servers, and other linked devices through a variety of connectivity constructions by means of embedded software, sensor technology, electronics, and connections. Data from the Internet of Things (IoT) will be sent to the servers over the internet from a variety of sensors, nods, and collectors. Governments, medical facilities, consumers, and corporations all make use of IoT devices. approximately, More than 65 billion Internet of Things devices are expected to be in operation by 2024. The proliferation of IoT …

Topological Indices For The Resize Graph Of (G2(3)), Manar Musab Ftekhan, Ali Abd Aubad

Iraqi Journal for Computer Science and Mathematics

Indexes of topological play a crucial role in mathematical chemistry and network theory, providing valuable insights into the structural properties of graphs. In this study, we investigate the Resize graph of G₂(3), a significant algebraic structure arising from the exceptional Lie group (G₂) over the finite field F₃. We compute several well-known topological indices, including the Zagreb indices, Wiener index, and Randić index, to analyze the graph's connectivity and complexity. Our results reveal intricate relationships between the algebraic structure of G₂(3) and its graphical properties, offering a deeper understanding of its combinatorial …

Machine Learning Algorithms To Detect Cyber-Attack In The Internet Of Things Platform, Maad Kamal Al-Anni, Rafah M. Almuttairi, Ammar A. Al-Hamadani, Khamis A. Zidan, Husam Ibrahiem Husain Alsaadi, Ghaidaa A. Al-Sultany

Iraqi Journal for Computer Science and Mathematics

In response to escalating cyber threats in Internet of Things (IoT) networks, this research investigates several traffic classification techniques by using benchmark datasets, such as CICIoT2023. This dataset was exclusively used to test the effectiveness of the proposed system, which aims to enhance the data processing for machine learning algorithms amid increasingly complex cyber threats. To prepare the naturally unstructured and raw dataset for analysis, Linear Discriminant Analysis (LDA) is applied for dimensionality reduction. The processed data and attributes are then fed into the proposed Fuzzy-Integrated Relevance Vector Machine Classifier (FIRVM), which is implemented in Python 3.10⁺ using the …

The Triple Display Projection Configuration That Reduces The Workload Of The Pixels., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a triple display projection configuration that reduces the workload of the pixels. The entire configuration will consists of 3 identical video projecting displays, 2 video projection combining beam splitters, a convex lens stack that consists of 2 convex lenses arranged in the stack configuration and a video projection reflecting beam splitter. The triple display projection configuration will have the capability to provide a virtual content viewing experience. This virtual content viewing experience will be achieved utilizing a consecutive collection of composite image projection procedures. Each composite image projection procedure will be constructed utilizing 3 consecutive image projection …

Insulated And Sealed Stator Lead Design Without Potting For Easier Disassembly

Defensive Publications Series

Sealing of stator lead terminations in refrigerant compressor motors is crucial to prevent refrigerant leakage and ensure robust electrical insulation. Traditional epoxy based potting solution is not suitable for high voltage applications that use terminal with busbars and lug-based design on stator leads. This proposed solution discloses an innovative rubber based potting free sealing solution for high voltage AC stator terminal that uses busbars.

Increase Card Acceptance In Under-Penetrated Segments: Changing Customer Payment Behavior With Reinforcement Learning, Gen Ai Reasoning, And Card Community Analysis, Nagraj Naidu Mr, Shruti Gupta Ms

Defensive Publications Series

The present disclosure provides a method for behavioral prediction of a cardholder, performed by an artificial intelligence (AI) agent utilizing reinforcement learning in conjunction with a Markov Decision Process (MDP) framework. A Language Learning Model (LLM) acquires state and transition probabilities from an analytical processing unit. The LLM accesses historical interaction data and feedback records from a specialized vector database. The LLM analyzes and assimilates historical information retained within the vector database. The LLM implements cognitive algorithms predicated on defined contextual parameters with the aim of developing a personalized card usage strategy. The LLM orchestrates a sequence of interactive prompts.

Videoshot: Automatic Video Summarization And Information Extraction, Paula Marques

Defensive Publications Series

While videos are a popular source of information, it is difficult to extract usable information from a video, e.g., a list of ingredients and set of steps from a recipe video. While screenshots and manual notetaking can be performed, these are cumbersome. This disclosure describes the use of artificial intelligence (AI) techniques for automatic extraction of information from video content (performed in accordance with controls set by the video creator) and transfer of such information to an appropriate downstream application. A user can trigger information extraction by performing a suitable action and optionally, can indicate their task. Artificial intelligence techniques …

Rlmf Training Of Llm For Optical Character Recognition Tasks, Ágoston Weisz, Khalid Salama

Defensive Publications Series

It is possible to provide an arbitrary image (e.g., in PDF, JPG, or any other format with handwritten or printed text in arbitrary orientations and languages) to an LLM and instruct it to extract text from the image. While an LLM can perform this task, the performance can be unsatisfactory and variable. This disclosure leverages reinforcement learning with machine feedback (RLMF) to improve the accuracy of an LLM when performing image-to-text conversion tasks. Per the techniques, known documents (where the groundtruth text content is known) and/or generated documents with text in a variety of fonts (and other parameters, such as …

Lookup-Table Multiplier Using Rom/Tie-Off Cells, Na

Defensive Publications Series

This disclosure describes low-cost, energy-efficient lookup-table (LUT) multipliers using memory arrays with read-only memory or tie-off cells (cells hard-wired to a 0 or 1). In contrast to a typical SRAM cell, which can use up to six transistors, a latch, etc., a tie-off cell uses only a couple of transistors. The memory array can be shared among a number of multipliers. Sharing the memory array across multipliers amortizes the cost of the memory array over those multipliers. The tie-off cell LUT can be optimized using ‘constant propagation’ during synthesis. The read decoders can be further optimized for a given implementation …

Cultural Intelligence In Expatriate Employee Success: A Critically Appraised Topic, Kathy So

Engaged Management ReView

Studies have shown a high failure rate among employees of multinational enterprises (MNEs) who work on overseas assignments. Although research often heralds cultural intelligence as an essential factor in expatriate employees, whether cultural intelligence should be the primary focus when choosing employees for overseas assignments is inconclusive. This topic paper aims to provide specific recommendations for ensuring the success of expatriate employees. More specifically, this assessment explores the effect of cultural intelligence on the success of expatriate employees. The research question is this: What is the effect of cultural intelligence on the success of expatriate employees who work for multinational …