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Topic Review
Markov Modeling of Acute Respiratory Distress Syndrome
This project focuses on utilizing mathematical Markov chain modeling as a stochastic process to analyze the stages of Acute Respiratory Distress Syndrome (ARDS). ARDS, characterized by a spectrum of severity ranging from floors to death, presents a complex clinical challenge. By employing Markov chain modeling, we aim to provide a structured framework for understanding the dynamic progression of ARDS. Our approach involves constructing a Markov chain that represents the transition of patients through various stages of ARDS, including floors, mild, moderate, severe, and ultimately death. Each stage is associated with specific clinical characteristics and outcomes, forming the basis of our modeling framework. In addition to describing the natural progression of ARDS, our project involves reviewing current clinical guidelines for managing the condition. We propose to examine the impact of each guideline on patient outcomes and the transition through different ARDS stages. By systematically analyzing the effects of various interventions and treatment strategies, we aim to provide insights into optimizing patient care and improving outcomes in ARDS management. Ultimately, this project serves as a comprehensive exploration of ARDS progression, providing healthcare professionals with a valuable framework for thinking about the condition. By integrating mathematical modeling with clinical guidelines, we seek to enhance our understanding of ARDS and contribute to more effective treatment approaches tailored to individual patient needs.
  • 392
  • 06 May 2024
Topic Review
Trace Cache
Trace Cache (also known as execution trace cache) is a very specialized cache which stores the dynamic stream of instructions known as trace. It helps in increasing the instruction fetch bandwidth and decreasing power consumption (in the case of Intel Pentium 4) by storing traces of instructions that have already been fetched and decoded. Trace Processor is an architecture designed around the Trace Cache and processes the instructions at trace level granularity.
  • 391
  • 02 Dec 2022
Topic Review
AI-Enabled Models for Parkinson’s Disease Diagnosis
Parkinson’s disease (PD) is a devastating neurological disease that cannot be identified with traditional plasma experiments, necessitating the development of a faster, less expensive diagnostic instrument. Due to the difficulty of quantifying PD in the past, doctors have tended to focus on some signs while ignoring others, primarily relying on an intuitive assessment scale because of the disease’s characteristics, which include loss of motor control and speech that can be utilized to detect and diagnose this disease. It is an illness that impacts both motion and non-motion functions. It takes years to develop and has a wide range of clinical symptoms and prognoses. 
  • 391
  • 15 May 2023
Topic Review
Executable Digital Process Twins
An Executable Digital Process Twin (xDPT) is a digital twin specifically designed for process-driven systems. It enriches the monitoring and analysis functionalities of a digital process twin with the possibility of actively driving the execution of the entire system. An xDPT receives real-time event logs from the running organization and allows direct monitoring by marking the status of the system in the running process. Moreover, it can exploit existing process mining techniques to check the conformance of the executed behavior, to provide an enriched view over multiple system perspectives, and to store historical data to predict process evolution. Finally, the process driving the system behavior can be refined and deployed into the organization. The main objective of an xDPT is to enable the monitoring and analysis of a system but also to execute it. In this regard, the process should serve both for performing monitoring and analysis stages and for enacting and controlling the whole system execution.
  • 391
  • 08 Sep 2023
Topic Review
Text Line Segmentation from Malayalam Documents
After the pandemic situation created by the novel coronavirus, it has become a necessity to encode the local language, conventionally written in pen and paper, in an electronic format. Optical character recognition (OCR) systems convert handwritten documents to a computer-editable digital form. Optical character recognition (OCR) converts pdf files, scanned documents, images containing text and printed and handwritten documents into editable electronic documents. OCR can be implemented for printed character recognition and handwritten character recognition. The latter is further categorized into online and offline recognition systems. Optical Character Recognition system for Malayalam handwritten documents has become an open research area. A major hindrance for this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document images and ground truth images of 7535 text lines is developed for the implementation of the proposed technique. This paper proposes a technique for extracting text lines from handwritten documents in Malayalam language, specifically based on the handwriting of the writer. Text lines are extracted based on horizontal and vertical projection values, size of the handwritten characters, height of the text lines and the curved nature of Malayalam alphabets.
  • 391
  • 22 Sep 2023
Topic Review
A Symbol Recognition System for Single-Line Diagrams Developed
In numerous electrical power distribution systems and other engineering contexts, single-line diagrams (SLDs) are frequently used. The importance of digitizing these images is growing. This is primarily because better engineering practices are required in areas such as equipment maintenance, asset management, safety, and others. Processing and analyzing these drawings, however, is a difficult job. With enough annotated training data, deep neural networks perform better in many object detection applications. Based on deep-learning techniques, a dataset can be used to assess the overall quality of a visual system
  • 391
  • 01 Nov 2023
Topic Review
WebAssembly
WebAssembly is a low-level bytecode language that enables high-level languages like C, C++, and Rust to be executed in the browser at near-native performance. WebAssembly has gained widespread adoption and is natively supported by all modern browsers. Despite its benefits, WebAssembly has introduced significant security challenges, primarily due to vulnerabilities inherited from memory-unsafe source languages. Moreover, the use of WebAssembly extends beyond traditional web applications to smart contracts on blockchain platforms, where vulnerabilities have led to significant financial losses. WebAssembly has also been used for malicious purposes, like cryptojacking, where website visitors’ hardware resources are used for crypto mining without their consent. 
  • 391
  • 15 Mar 2024
Topic Review
Bio-Inspired Anomaly Detection with Cursory Dendritic Cell Algorithm
The autonomous and adaptable identification of anomalies in industrial contexts, particularly in the physical processes of Cyber-Physical Production Systems (CPPS), requires using critical technologies to identify failures correctly. Most of the existing solutions in the anomaly detection research area do not consider such systems’ dynamics. Immune-based models, such as the Dendritic Cell Algorithm (DCA), may provide a rich source of inspiration for detecting anomalies. Cursory Dendritic Cell Algorithm (CDCA), is a novel variation of the Dendritic Cell Algorithm (DCA), developed to be flexible and monitor physical industrial processes continually while detecting anomalies in an online fashion. 
  • 390
  • 14 Feb 2022
Topic Review
Cray-2
The Cray-2 is a supercomputer with four vector processors made by Cray Research starting in 1985. At 1.9 GFLOPS peak performance, it was the fastest machine in the world when it was released, replacing the Cray X-MP in that spot. It was, in turn, replaced in that spot by the Cray Y-MP in 1988. The Cray-2 was the first of Seymour Cray's designs to successfully use multiple CPUs. This had been attempted in the CDC 8600 in the early 1970s, but the emitter-coupled logic (ECL) transistors of the era were too difficult to package into a working machine. The Cray-2 addressed this through the use of ECL integrated circuits, packing them in a novel 3D wiring that greatly increased circuit density. The dense packaging and resulting heat loads were a major problem for the Cray-2. This was solved in a unique fashion by forcing the electrically inert Fluorinert liquid through the circuitry under pressure and then cooling it outside the processor box. The unique "waterfall" cooler system came to represent high-performance computing in the public eye and was found in many informational films and as a movie prop for some time. Unlike the original Cray-1, the Cray-2 had difficulties delivering peak performance. Other machines from the company, like the X-MP and Y-MP, outsold the Cray-2 by a wide margin. When Cray began development of the Cray-3, the company chose to develop the Cray C90 series instead. This is the same sequence of events that occurred when the 8600 was being developed, and as in that case, Cray left the company.
  • 390
  • 04 Nov 2022
Topic Review
HVS and Contrast Sensitivity to Assess Image Quality
The human visual system (HVS) has many characteristics, such as the dual-pathway feature, in which visual information is transmitted through the ventral pathway and dorsal pathway in the visual cortex. The contrast sensitivity characteristic of the HVS reflects the different sensitivity of the human eye to different spatial frequencies. This characteristic is similar to the widely used spatial attention mechanism and image saliency.
  • 390
  • 05 Jun 2023
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