Digital Commons Network^™

Computing In The Service Of The Judicial System, Saadia Belmir

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Since 1977, the Moroccan Ministry of Justice has explored using computing to ...

Culture And Computing For The Third World: A Panacea Or An Aggravation Of Dep..., Houria Alami

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Houria Alami critically examines the discourse surrounding the computer revol...

Computing And Copyright Law, Mohamed Nabil

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This paper examines why Moroccan legal professionals must engage with compute...

International Cooperation And The Introduction Of Computer Technology In Thir..., Abdelhamid Ahmady

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Professor Abdelhamid Ahmady examines how the global distribution of computer ...

Computing And Criminal Law, Mohieddine Amzazi

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This article examines the relationship between computer technology and crimin...

Computing And Civil Liberties, Mohamed Amal Mourji

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This article explores the impact of computer technology on individual freedom...

Legal Informatics: Difficulties And Constraints, Khalid Lyazidi

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This article examines the growing relationship between information technology...

Informatics In The Real Estate Field, Mohamed Khairi

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Heavenly laws, human rights documents, and modern constitutions emphasize the...

Introductory Report, Mohamed El Mernissi

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This introductory report explores the interactions between law and computer s...

In Work But Out Of Rights: Migration Governance And The Production Of Precarity Among Third-Country Nationals In Cyprus’ Hotel Sector, Petros Giannoulis, Petros Kosmas, Maria Panagopoulou

Irish Journal of Tourism, Hospitality, Leisure and Event Research

This study aims to examine how migration and labour governance in Cyprus produces and manages precarity among Third-Country Nationals (TCNs) employed in the hotel sector. For the purposes of the present study this category encompasses various groups of people, including Non-EU migrant workers, international students and asylum seekers. Drawing on critical scholarship on migration governance, differential inclusion, and institutional racism, the study analyses key policy instruments regulating the recruitment, employment and residence of migrant workers through qualitative content analysis. The findings demonstrate that precarity is not an unintended by-product of labour market regulation or administrative failure, but a structurally embedded …

Granular Phenotyping Of Neuromuscular And Cortical Adaptation In Elite Judo Athletes: A Three-Group Experimental Analysis Using Eeg And Emg Markers, Magdalena Prończuk, Dariusz Tadeusz Skalski, Wirginia Likus, Łukasz Jaworski, Adam Maszczyk, Kinga Łosińska

Baltic Journal of Health and Physical Activity

Background: Inter-individual variability in neuromuscular and cortical adaptation presents a significant challenge for the personalization of neurofeedback protocols in elite sports, particularly in judo. Objective: This study aimed to identify distinct adaptation phenotypes in elite Polish judo athletes by integrating electrophysiological and performance-based measures following an EEG biofeedback intervention. Materials and methods: Twenty-four male athletes from the Polish national judo team completed a 15-session EEG biofeedback protocol targeting frontal alpha asymmetry. Post-intervention assessments included surface EMG amplitude (RMS), median frequency (MF), percentage EMG change, composite EEG indices (EEG_SUM), and normalized lower-limb strength. A composite Global Adaptation Index (GAI) was used …

Medical Image Integrity Protection Through U-Net Based Roi Segmentation And Hybrid Integer Wavelet–Quadtree Embedding, Muna M. Jawad, Rasha F. Nadhim, Noor A. Yousif, Ashwaq T. Hashim

Journal of Intelligent Informatics, Networking, and Cybersecurity

For decades, secure techniques in medical images have focused on securing the sensitive information through limiting direct access to the images themselves. Nonetheless, these methods tend to cause distortion on the images that can affect the diagnostic value and cause loss of crucial information. There arises the fundamental problem of secure embedding of medical data in such a way that does not affect the diagnostic integrity of the image. To overcome this limitation, a secure yet hidden data-hiding mechanism is introduced that is exploited U-Net-based deep learning for accurate Region of Interest (ROI) segmentation. Therefore U-Net architecture is used for …

Audio Signal Correction Via Transformer-Based Fusion Of Facial Landmarks And Latency Metadata, Ruofei Du, Mahdi Tayarani Najaran

Defensive Publications Series

In remote communication, audio signals and visual signals are often unsynchronized. A mismatch between perceived visuals and corresponding audio leads to speech recognition errors and reduced audio quality. This disclosure provides an architecture for visual-audio speech correction. Features are extracted by a mouth landmark encoder, an audio encoder, and a visual encoder. These features are mapped to a target audio signal through an on-device visual-audio transformer. Simultaneous processing of signals from both visual and audio modalities is performed. Device latency and conferencing platform latency are integrated into transformer encoders during a preprocessing stage. Enhanced audio signals are then decoded to …

Predictive Intent Proposal And Gestural Confirmation In Head-Worn Displays Via Multimodal Large Language Model Analysis, Ilia Labzovsky, Tamar Yakar

Defensive Publications Series

Traditional interaction models for wearable displays often present challenges such as physical fatigue, social friction, and unintended activations. Fully autonomous execution based on inferred intent may also lead to high-stakes errors. This disclosure describes a method for predictive intent proposal and non-verbal confirmation using multimodal data analysis. Video streams, eye-vector data, and inertial measurement unit data are ingested. Raw eye movements are converted into semantic tokens. An on-device multimodal large language model processes these tokens and the visual scene to infer a likely user intent. A non-intrusive augmented reality overlay is generated to propose a specific action. The action is …

Augmented Reality Glasses For Monitoring External Environments Via Internal Reflections, Michael Christopher Yu

Defensive Publications Series

Existing vehicle safety systems often involve expensive, factory-integrated camera arrays and sensors that are difficult to upgrade and susceptible to occlusion from environmental debris, such as dirt or rain. Many vehicles possess basic backup cameras, lacking comprehensive advanced driver assistance capabilities.

This publication describes a method for providing driver assistance through a wearable extended reality device. The device utilizes inside-out spatial registration to identify the location of statically-positioned vehicle mirrors within the interior.

Images of the mirrors are captured and subsequently processed using an image cropping mechanism. Computer vision is then applied to these isolated segments to detect the presence …

Interactive Picture-In-Picture Control Surface For Managing Background Agentic Tasks, Yijo Liu, Clifford Tse Yan Chan, Tiffany Deonne Morris, Shadia Walsh, Golden Gopal Krishna, Lily Duraiswami, Yeun Su Shin, Carl Magnus Borg

Defensive Publications Series

Background processes are frequently suspended by mobile operating systems, which obstructs multitasking during long-running automated browser workflows. Visual feedback regarding the execution state of these workflows is typically absent. This disclosure explains how a live visual preview of an active Document Object Model is converted into a data stream compatible with a picture-in-picture container. A floating window is generated when a context switch occurs away from a mobile browser. A text summary is superimposed on the container to display specific workflow states. Interactive prompts are included directly within the overlay to allow state modifications. User intervention is enabled without a …

Interactive Graphical Interface For Multi-Tab Content Synthesis And Parametric Control, Yijo Liu, Carl Magnus Borg, Tiffany Deonne Morris, Shadia Walsh, Golden Gopal Krishna, Melissa Kuo Bui, Yeun Su Shin, Clifford Tse Yan Chan, Lily Duraiswami

Defensive Publications Series

Current methods for comparing content across multiple browser tabs are limited because tabs are treated as separate rendering instances. Comparisons of data across different pages often involve manual navigation or reliance on static text tables that lack interactivity. A technique is disclosed where a comparison interface is generated by extracting attributes from the underlying data structures of selected browser tabs. This interface synthesizes extracted data into a graphical overlay including parametric controls such as sliders and dials. Interactions with these controls trigger modifications to the browser state. These modifications include the physical reordering of tabs within a tab strip, visual …

Gating Spatial Coordinates Utilizing Inertial Detection, Tushar Chugh, Aditya Shrikant Mone, Karthik Kumara

Defensive Publications Series

Extended reality (XR) input systems relying solely on optical hand-tracking face critical limitations, including contact ambiguity between hovering and touching, processing pipeline latency, and field-of-view occlusion. This disclosure describes a multimodal sensor fusion framework that addresses these challenges by integrating spatial coordinate mapping from head-worn devices with high-frequency inertial event detection from wrist-worn devices. When a wrist-worn sensor detects the sharp acceleration of a physical impact at a specific timestamp, the system triggers retroactive event gating. The system accesses historical visual buffers to retrieve spatial coordinates corresponding to the impact time, then applies an update that dynamically forces the depth …

Generative Pipeline For 2d Image To Volumetric 3d Media Conversion In Extended Reality Environments, Dev Shimulbhai Daftari

Defensive Publications Series

The adoption of extended reality (XR) headsets is limited by a lack of native volumetric content, resulting in flat presentations of standard two-dimensional media libraries. Traditional depth-mapping approaches introduce severe visual stretching artifacts during six-degrees-of-freedom (i.e., translation and orientation) movement due to missing data behind foreground objects. The disclosed technology introduces a generative artificial intelligence (AI) pipeline that synthesizes volumetric media from standard monocular two-dimensional inputs (e.g., an image or a video frame). The pipeline performs depth estimation from the two-dimensional input to construct a three-dimensional point cloud, computes left and right eye stereoscopic perspectives via head-pose tracking, and uses …

Ai-Driven Application Policy Infrastructure Controller Managed Object Configuration And Validation System, Ramesh Babu Radhakrishnan, Bharathan Thangam Madhavenpillai, Amrit Tickoo, Praveen Kumar Tarikere Nagaraj

Defensive Publications Series

A system is proposed herein that provides an artificial intelligence (AI)-driven autonomous testing framework that programmatically transforms network-controller object schemas into executable validation pipelines. The framework enables systematic and scalable validation of managed objects (MOs) in an intent-based networking system, such as an application policy infrastructure controller (APIC). Large language models (LLMs) interpret structured MO metadata and synthesize hierarchically valid configuration payloads, attribute-complete valid, invalid, and boundary test cases, deterministic verification logic, and cleanup sequences.

Ai Agent Evaluation With Skill-Driven Test Cases And Lightweight Network Simulation, Ryan Holland, Elango Ganesan, Samer Salman, Yao Zhao

Defensive Publications Series

Presented herein is a system for automated generation, deployment, and evaluation of test cases for artificial intelligence (AI)-powered agents performing network operations. The system evaluates long-running agent trajectories rather than only single-turn outputs, validates whether required tool calls were executed, assesses whether a reasonable diagnostic process was followed, and checks whether conclusions were accurate and helpful. Procedural documentation, such as skills, is used as a proxy for coverage so that key use cases can be prioritized and test cases can scale with domain growth. The system also generates and pre-validates synthetic responses to anticipated tool calls, thereby avoiding physical networks …

Ensuring Symmetric Path Forwarding Of Ptp Packets Using A Dedicated Ptp Mac Address Steering Table, Anonymous

Defensive Publications Series

A mechanism is disclosed for maintaining path symmetry of Precision Time Protocol (PTP) message exchanges in a packet switched network. Each network node along a PTP packet path maintains a dedicated PTP Media Access Control (MAC) Address Steering Table that is separate from conventional data plane forwarding and MAC learning tables. PTP packets are identified by User Datagram Protocol (UDP) port 319 for event messages and UDP port 320 for general messages. Upon receiving a forward direction PTP packet from a PTP Grandmaster (GM) toward a Telecom Boundary Clock (T-BC), each node records the source MAC address, source Internet Protocol …

Contextual Hardware Security Using Autonomic Physiological State Signatures, Sudeep Chauhan, Ehsan Nourbakhsh

Defensive Publications Series

This document describes techniques and architectures for securing a computing device against physically coerced access by utilizing dynamic autonomic physiological state signatures. Processing circuitry of a computing device (e.g., a primary computing device, a wearable sentinel device, or an industrial control terminal) continuously determines a dynamic physiological baseline from sensor data (e.g., heart rate, galvanic skin response, inertial data). A physiological baseline and anomaly engine utilizes a machine learning model, which accounts for contextual states such as active exercise tracking to filter false positives, to detect a distress state corresponding to a non-voluntary autonomic deviation relative to the dynamic physiological …

Veti-3.0 (Vortex Ejector Tip Integrated, Michael Victor Caldwell Mr.

Defensive Publications Series

The VETI-3.0 is a passive, bolt-on exhaust scavenging device engineered for naturally aspirated internal combustion engines. Unlike static "vortex cones," this system utilizes Multi-Band Helmholtz Acoustic Tuning to prevent exhaust pulse reversion and an Adjustable Coaxial Ejector to lower effective backpressure via ambient air entrainment. It requires no electronics, no moving parts, and no engine modifications, targeted performance upgrades if this works.

Peak Horsepower Gain: +4% to +7% (Engine-dependent).

• Steady-State Cruise MPG: +5% to +8%.

Operational Range: Optimized from idle to redline.

On-Device Large Language Model For Enhanced User Experience Customization, Yosef Mirsky, Andrew Felch

Defensive Publications Series

A low-intelligence, or small, large language model (LLM), termed a Vibe LLM, operates on resource-constrained hardware to augment user experiences. The Vibe LLM does not handle direct linguistic interaction with a user; instead, it processes textual output generated by a separate, more resource-intensive LLM that typically resides in the cloud. By analyzing this text, the Vibe LLM extracts contextual information, such as proper nouns, and uses it to control device features like light emitting diode (LED) animations or display colors. For example, the Vibe LLM can identify a team name mentioned in a response and trigger an LED animation using …

Ai-Powered Validation Of Screen Reader Output For Automated Accessibility Testing, Shubham Jain

Defensive Publications Series

This technology automates accessibility testing of user interfaces (UIs) by using an artificial intelligence (AI) model to validate screen reader output. The framework uses automation tools to navigate a UI, such as a web page or application, while recording the audio output generated by a screen reader. This initial recording establishes a baseline recording. For subsequent regression testing, the system runs the automation again and compares the new output to the baseline recording to detect any deviations. An AI tool performs the validation by either converting the audio to text for comparison or conducting a direct audio and video comparison. …

Techniques For Preventing Anchoring Bias In Ai Investigative Analysis Through Staged Data Redaction And Hypothesis-Gated Revelation, Avneet Singh Chhabra

Defensive Publications Series

Presented herein is a system for preventing anchoring bias in large language model (LLM) investigative analysis. Bias in LLMs is not typically addressed by instruction-level approaches; rather, it is most effectively mitigated by physically separating the biasing data from an LLM's input during the hypothesis formation phase. The proposed system includes five core components: a Data Redaction Engine, a Staged Analysis Protocol, a Structural Gate, a Corrections Bridge, and a Procedural Attestation Record. The Data Redaction Engine operates to separate source data into a redacted evidence set and an attribution set, validated by a multi-layer validation pass. The Staged Analysis …

Finetuning Multiple Adaptors For Families Of Large Language Models, Ali Payani, Charles Fleming, Ramana Kompella

Defensive Publications Series

Techniques presented herein introduce a framework for finetuning multiple adapters for families of large language models (LLMs).

Active Mini-Tank Immersion Cooling, Stephen A Scearce, Phong Ho, Joel Richard Goergen, Hari Pillai, Rakesh Bhatia

Defensive Publications Series

With increased power density in artificial intelligence (AI) servers, there is increased heat produced. However, the present solutions are not able to remove the heat efficiently or provide for the full capability of the processors, either in a central processing unit or a general processing unit. Presented herein is a hybrid liquid cooling system that allows modular Active Mini-tank immersion cooling (AMTIC) modules as the final stage, in conjunction with or without Direct liquid cooling loops, to facilitate server cooling.

Gci Vortex Sentinel (Av‑1), Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI Vortex Sentinel (AV‑1) is a zero‑filter, chemical‑free micro‑pollutant remediation system that uses acoustic‑vortex concentration and plasma‑cavitation mineralization to neutralize PFAS, microplastics, and polymeric contaminants in municipal and coastal water streams. The system integrates multiple GCI inventions including the Arachne‑Chip microfluidic thermal interface, CMRS‑1 harmonic controller, and the VMR Titan v2.5‑T cavitation core. The architecture is modular, open‑hardware, and designed for global deployment. All components, schematics, and operational logic are released under CERN‑OHL‑P for unrestricted engineering use.