Arnon Amir
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View article: A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference
A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference Open
A vertically integrated, end-to-end, research prototype system combines 288 NorthPole neural inference accelerator cards, offline training algorithms, a high-performance runtime stack, and a containerized inference pipeline to deliver a sc…
View article: INCIDENCE OF POSTOPERATIVE NAUSEA AND VOMITING AFTER UROLOGICAL PROCEDURES
INCIDENCE OF POSTOPERATIVE NAUSEA AND VOMITING AFTER UROLOGICAL PROCEDURES Open
Background: Postoperative nausea and vomiting (PONV) are among the most frequent and distressing complications following surgery, particularly in urological procedures. Despite improvements in anesthesia and perioperative management, PONV …
View article: TRADITIONAL KNOWLEDGE AS ECOLOGICAL INTELLIGENCE: AN ECOPEDAGOGY STUDY
TRADITIONAL KNOWLEDGE AS ECOLOGICAL INTELLIGENCE: AN ECOPEDAGOGY STUDY Open
Humans living in ancestral environments tend to preserve inherited habits, including rituals and daily practices rooted in local wisdom. This traditional knowledge, reflecting ecological intelligence, is at risk of fading due to the lack o…
View article: IoT Based Health Monitoring System Using Arduino and FPGA
IoT Based Health Monitoring System Using Arduino and FPGA Open
This project presents the development of an IoT-based health monitoring system designed to continuously track two critical health parameters: temperature and heart rate. The system makes use of temperature and pulse sensors, with data bein…
View article: TRADITIONAL KNOWLEDGE AS ECOLOGICAL INTELLIGENCE: AN ECOPEDAGOGY STUDY
TRADITIONAL KNOWLEDGE AS ECOLOGICAL INTELLIGENCE: AN ECOPEDAGOGY STUDY Open
Humans living in ancestral environments tend to preserve inherited habits, including rituals and daily practices rooted in local wisdom. This traditional knowledge, reflecting ecological intelligence, is at risk of fading due to the lack o…
View article: Studi Perencanaan Pembangkit Listrik Tenaga Surya Di Atap Rumah Tinggal Dengan Menggunakan Software Helioscope
Studi Perencanaan Pembangkit Listrik Tenaga Surya Di Atap Rumah Tinggal Dengan Menggunakan Software Helioscope Open
Sumber energi alternatif yang sekarang sedang dikembangkan di Indonesia adalah energi yang ramah lingkungan seperti pemanfaatan sinar matahari sebagai sumber energi listrik. Meningkatnya penggunaan energi listrik dan semakin berkurangnya e…
View article: Design and Development of Capsule Endoscopy Prototype
Design and Development of Capsule Endoscopy Prototype Open
Endoscopy is a procedure in which we monitor the digestive tract and this technique is pretty helpful in diagnosing the diseases of the digestive tract but the process is pretty painful and the patients feel a lot of pain during this proce…
View article: The role of multimodality imaging in calcified valves with infective endocarditis
The role of multimodality imaging in calcified valves with infective endocarditis Open
View article: Determining Artificial Ageing Methods and Evaluating Properties of Universal Composite Resin: A Review and Proposed Protocol
Determining Artificial Ageing Methods and Evaluating Properties of Universal Composite Resin: A Review and Proposed Protocol Open
Objective: Our aim is to propose a method for determining a more convenient artificial ageing (AA) protocol, which may be used to compare the optical / mechanical properties of universal to conventional composite. Methods: Artificial agein…
View article: Classification of Multiple Visual Field Defects using Deep Learning
Classification of Multiple Visual Field Defects using Deep Learning Open
In this work, a custom deep learning method is proposed to develop a detection of visual fields defects which are the markers for serious optic pathway disease. Convolutional Neural Networks (CNN) is a deep learning method that is mostly u…
View article: The Performance Analysis of Transfer Learning for Steel Defect Detection by Using Deep Learning
The Performance Analysis of Transfer Learning for Steel Defect Detection by Using Deep Learning Open
Detecting steel surface defects is one of the challenging problems for industries worldwide that had been used in manufacturing quality management. Manual inspection of the steel surface detects is a time-consuming process. This work aims …
View article: Machine Learning Algorithms for Optic Pathway Disease Diagnostics: A Review
Machine Learning Algorithms for Optic Pathway Disease Diagnostics: A Review Open
Most of people are unaware that some of the indicators of optic pathway diseases such as stroke or tumor can be detected from the loss part of human vision, or referred as visual field defect. Ophthalmologist will manually examine the site…
View article: Automated Detection of Printed Circuit Boards (PCB) Defects by Using Machine Learning in Electronic Manufacturing: Current Approaches
Automated Detection of Printed Circuit Boards (PCB) Defects by Using Machine Learning in Electronic Manufacturing: Current Approaches Open
The manufacturing of a printed circuit board in the SMT assembly line goes through multiple phases of automatic handling. To ensure the quality of the board and reduce the number of defects, inspection tasks such as solder paste inspection…
View article: Real-Time Drowsiness Detection System for Driver Monitoring
Real-Time Drowsiness Detection System for Driver Monitoring Open
Nowadays, the rate of road accidents due to microsleep has been alarming. During microsleep, people might doze off without realizing it. For many decades, drowsiness detection system for vehicles was not among the major concerns though it …
View article: Performance analysis of Software Defined Network (SDN) in link failure scenario
Performance analysis of Software Defined Network (SDN) in link failure scenario Open
The proliferation and advancement in network technologies has brought unprecedented opportunities towards the development of Software Defined Network (SDN) which presents an alternative network architecture that separates data forwarding a…
View article: Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique
Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique Open
This paper focuses on classification of motor imagery in Brain Computer Interface (BCI) by using classifiers from machine learning technique. The BCI system consists of two main steps which are feature extraction and classification. The Fa…
View article: A review of data collection approaches in linear wireless sensor networks (LWSNs)
A review of data collection approaches in linear wireless sensor networks (LWSNs) Open
Using wireless sensor nodes in monitoring systems have attracted significant attention over the past few years. Wireless sensor networks (WSNs) are key technology that extensively applied in many fields, such as transportation, health-care…
View article: TrueNorth Ecosystem for Brain-Inspired Computing: Scalable Systems, Software, and Applications
TrueNorth Ecosystem for Brain-Inspired Computing: Scalable Systems, Software, and Applications Open
View article: Convolutional networks for fast, energy-efficient neuromorphic computing
Convolutional networks for fast, energy-efficient neuromorphic computing Open
Significance Brain-inspired computing seeks to develop new technologies that solve real-world problems while remaining grounded in the physical requirements of energy, speed, and size. Meeting these challenges requires high-performing algo…