Publications
Unconscious Mind-Inspired Algorithm: A Novel Approach to Machine Learning
Mar 31, 2025Journal Ingenierie des Systemes d'Information
Publisher International Information and Engineering Technology Association
DOI 10.18280/isi.300324
Issue 3
Volume 30
This work aims to present a novel algorithm referred by unconscious mind-inspired algorithm (UMIA), that targets to incorporate principles derived from the unconscious mind and put it into computational processes. This work will seek to replicate fundamental aspects of the unconscious mind, such as efficient information processing, instinctive decision-making, and flexible learning and by sketching upon theories derived from psychoanalysis and cognitive psychology. The design algorithm encompasses a series of steps aimed at the development of a conceptual framework the utilization of data processing models influenced by subliminal perception and the implementation of intuitive decision-making algorithms. The phase of testing and validation involves the utilization of simulations and practical applications, with a specific emphasis on factors such as accuracy, efficiency, adaptability and user feedback. UMIA holds the potential to bring about a paradigm shift in algorithmic methodologies by integrating cognitive processes that resemble human intelligence. This integration has the potential to yield enhanced performance across a range of applications exceeding the capabilities of current machine learning algorithms.
Novel 3D Mesh Captured by LIDAR Texture Enhancement Using Neural Radiance Fields and Vision Transformers
Mar 31, 2025Journal Journal Européen des Systèmes Automatisés
DOI 10.18280/jesa.580308
Issue 3
Volume 58
The quality of 3D mesh textures is imperative in applications related to gaming, virtual reality and digital content creation due to the importance of visual integrity. This paper presents a new pipeline for enhancing 3D mesh textures by incorporating Neural Radiance Fields (NeRF), Vision Transformers and self-supervised learning methodologies in order to enhance texture detail, consistency and mapping precision. This work proposes a new pipeline that combines NeRF, Vision Transformers (ViT) and self-supervised methodologies for enhancing 3D mesh textures with high fidelity while keeping the geometry of the underlying mesh intact. It generates multi-view synthetic images of the mesh using off-screen rendering and then trains a NeRF to get a radiance field that can generate higher-fidelity texture features. This results in a finer texture so with the further help of a Vision Transformer and a lightweight diffusion-based which can create globally coherent high-resolution edits. Experimental results indeed do not show any geometric distortion also as it already been suggested by the low Hausdorff distance and average distance metrics and whereas for texture evaluation using MSE and SSIM the visual quality increase is substantial.
Hallucinations in GPT-2 trained model
Jan 25, 2025Journal Ingénierie des Systèmes d’Information
DOI 10.18280/isi.300104
Issue 30
Volume 1
This paper analysis the phenomenon of "hallucinations" in text generated by GPT-2 when it produces irrelevant or illogical content. This work has quantified the extent of those hallucinations and look into ways of their mitigation. By using two main techniques: cosine similarity and frequency analysis. These techniques calculate coherency and relevance in the text produced by OpenAI GPT-2 at different training levels. Where a study case was implemented to train the model and ask the questions and retrain the model using these replays. The main findings indicate that this model hallucinates much less at the beginning of learning, with the situation significantly improving as training progresses. Extreme learning does not eliminate all such inadequacies, and more over-training led to more hallucinations. The hallucinated items span from smaller deviations to major content-wise deviations. An inspection reveals some patterns and cues that are predictive of increased output unreliability of the model. This research suggests a stricter training program that involve varied data sets to reduce the rate of hallucinations. More importantly, improve the accuracy of the model by reaching superior levels through the embedding of contextual and factual anchoring systems as well as designing algorithms for higher trigger identification. Other recommendations of the paper include post-generation text evaluation and continuous research to enhance the complexity of the models.
A ROS-Gazebo Interface for the Katana Robotic Arm Manipulation
Jun 30, 2021Journal Ukh journal of science and engineering
Publisher Univeristy of Kurdistan Hewler
DOI 10.25079/ukhjse.v5n1y2021.pp26-37
Issue 8
Volume 5
Nowadays, simulators are being used more and more during the development of robotic systems due to the efficiency of the development and testing processes of such applications. Undoubtedly, these simulators save time, resources and costs,as well as enableease of demonstrations of the system. Specifically, tools like the open source Robotic Operating System (ROS) and Gazebo have gained popularity in building models of robotic systems. ROS is extensively used in robotics due to the pros of hardware abstraction and code reuse. The Gazebo platform is used for visualisation because of its high compatibility with ROS. In this paper, ROS and Gazebo have been integrated to build an interface for the visualisation of the Katana Armmanipulator.
Performance evaluation of harmonics on power quality: case study
Jan 1, 2016Journal The International Journal of Energy and Engineering Sciences
DOI 10.18280/isi.300104
Issue 1
Volume 1
This work is proposed the results of current and voltage measurements in the real low voltage distribution system and explains the effects of Harmonics in the Power System with high accuracy with many factors, the relationship between the load and no load and its effects on electrical equipment are practically analyzed , caused by connecting the resistive load and no loading with conclusion two form frequencies, the system behavior is analyzed using the power quality analyzer device (Fluke-435B). This paper will imitate to these sets and include graphs which should explain the variances between individual power quality disturbances. the analysis of the results with respect to k factor and THD and how these can be analyzed to check more successfully w.r.t IEEE 519 are showed. The elements of the distribution system consist of:1 kVA transformer, load resister, and Adjustable Speed Drivers(ASJ) are modeled