Publications related to Visiosafe

Oligolithic Cross-task Optimizations across Isolated Workloads

Anastasia Ailamaki, Eleni Zapridou, Panagiotis Sioulas

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...

2024

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Silvestro Micera, Simone Romeni, Laura Toni, Fiorenzo Artoni

Electrical stimulation of the visual nervous system could improve the quality of life of patients affected by acquired blindness by restoring some visual sensations, but requires careful optimization of stimulation parameters to produce useful perceptions. ...

Aip Publishing2024

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Snehal Pramod Kumbhar, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Volkan Cevher, Thomas Michaelsen Pethick, Wanyun Xie

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training. We argue that instabilities in the optimization process are often caused by the nonmonotonicity of the loss lan ...

2023

Mobile eye tracking applied as a tool for customer experience research in a crowded train station

Andrea Regula Schneider

Train stations have increasingly become crowded, necessitating stringent requirements in the design of stations and commuter navigation through these stations. In this study, we explored the use of mobile eye tracking in combination with observation and a ...

2023

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

Mathias Josef Payer, Jianhao Xu

Compilers assure that any produced optimized code is semantically equivalent to the original code. However, even "correct" compilers may introduce security bugs as security properties go beyond translation correctness. Security bugs introduced by such corr ...

Usenix Assoc2023

A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance

Jinzhi Lu, Jingjing Chen

Supply Chain Finance (SCF) refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises. SCF adopts a self-testing and closed-loop credit model to control funds and ...

KEAI PUBLISHING LTD2022

Protecting privacy through metadata analysis

Sandra Deepthy Siby

Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...

EPFL2022

Pixels: An Efficient Column Store for Cloud Data Lakes

Anastasia Ailamaki, Haoqiong Bian

To benefit from the cloud’s higher elasticity and price-efficiency, most modern data-lake engines support S3-like cloud object storage (COS) services as their optional or preferred underlying storage. Meanwhile, the widespread column stores, such as Parque ...

IEEE2022

Impact of Interface Traps in Floating-Gate Memory Based on Monolayer MoS2

Andras Kis, Guilherme Migliato Marega

Two-dimensional materials (2DMs) have found potential applications in many areas of electronics, such as sensing, memory systems, optoelectronics, and power. Despite an intense experimental work, the literature is lacking of accurate modeling of nonvolatil ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

François Maréchal, Ivan Daniel Kantor, Julia Granacher

Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of reliable design solutions difficult. We propose an algorithm fo ...

2021

An Optimized Low-Power Band-Tuning TX for Short-Range FMCW Radar in 22-nm FDSOI CMOS

Christian Enz, Francesco Chicco, Sammy Cerida Rengifo

The paper presents a low-power transmitter (TX) as a part of a fully integrated 57-66 GHz FMCW radar system. The TX path includes a BPSK modulator and it is optimized for short-range operation with 0 dBm output power. A band-tuning technique is used for co ...

IEEE2021

Industry 4.0 Technologies and Customer-centricity for Digital Supply Chains

Rachel Agnès Laetitia Rosemonde Marie Lacroix

The last few years have experienced the emergence of Industry 4.0 (I4.0), ultra-customization, and the explosion of demand for ethical, fair trade, and sustainable consumption. Organizations have therefore started a digital transformation of their SCs and ...

EPFL2021

The Industrialization of Astronomical Instrumentation: An Industrial Systems and Process Engineering Perspective

Jean-Paul Richard Kneib, Mohamed Bouri, Ricardo Jorge Araùjo Pereira, Luzius Gregor Kronig, Loïc Grossen

The Sloan Digital Sky Survey V (SDSS-V) is an all-sky spectroscopic survey of > 6 million objects, designed to decode the history of the Milky Way, reveal the inner workings of stars, investigate the origin of solar systems, and track the growth of superma ...

SPIE-INT SOC OPTICAL ENGINEERING2020

Update on yesterday's dose-Use of delivery log-files for daily adaptive proton therapy (DAPT)

Marco Matter

In daily adaptive proton therapy (DAPT), the treatment plan is re-optimized on a daily basis. It is a straightforward idea to incorporate information from the previous deliveries during the optimization to refine this daily proton delivery. A feedback sign ...

2020

Problem structuring to enable innovation in business/IT projects

Gil Regev, Tatiana Porté, Alain Wegmann

In this paper, we present a problem structuring method in business and IT analysis illustrated with an example. The project describes an IT consulting case done for a Swiss medical society faced with a problem of change management and digital transformatio ...

LUT Scientific and Expertise Publications2020

Extending Business Process Models with Appreciation

Gil Regev, Alain Wegmann, Irina Rychkova

We use homeostasis, the maintenance of steady states in an organism, to explain some of the decisions made by participants in a business process. We use Vickers’ Appreciative System to model the homeostatic states with Harel’s statecharts. We take the exam ...

2019

Five Management Pillars for Digital Transformation Integrating the Lean Thinking Philosophy

Myrna Fatima Flores Pineda

This paper discusses Five Management Pillars for Digital Transformation integrating the Lean Thinking Philosophy. It proposes a "Digital Lean Transformation Framework" where its five management pillars - (Digital) Strategic Management, Processes (Re-)Engin ...

IEEE2019

Using the new VPMADD instructions for the new post quantum key encapsulation mechanism SIKE

Dusan Kostic

This paper demonstrates the use of new processor instructions VPMADD, intended to appear in the coming generation of Intel processors (codename "Cannon Lake"), in order to accelerate the newly proposed key encapsulation mechanism (KEM) named SIKE. SIKE is ...

IEEE COMPUTER SOC2019

From Goal-Achievement to the Maintenance of Relationships: Extending Business Process Models with Homeostasis and Appreciation

Gil Regev, Irina Rychkova

We use homeostasis, the maintenance of steady states in an organism, to explain some of the decisions made by participants in a business process. We use Vickers’s Appreciative System to model the homeostatic states with Harel’s statecharts. We take the exa ...

CEUR Workshop Proceedings2018