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A Nurse Scheduling Case in a Turkish Hospital

A Nurse Scheduling Case in a Turkish Hospital

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21st international symposium on Production Research (ISPR) - Digitizing Production System

作者： Yasan, Edanur Cesur, Tugba Aslan, Tuba Nur Kose, Rana Ezgi Konyalioglu, Aziz Kemal Beldek, Tugce Cebi, Ferhan Istanbul Tech Univ Management Engn Istanbul Turkey

ISBN: (纸本)9783030904210;9783030904203

Today, each of the hospitals provides services all day. For this reason, there is a direct relationship between the psychological and physical well-being of the nurses working in the hospital and the quality of the service they provide. In order to provide the best service, the shifts of nurses should be balanced and fair. In this study, a mathematical model is developed for the nurses working in the private hospital in Yalova to be assigned to the two shifts determined as equally as possible. In the solution of the model, mixed integer linear programming method and GAMS Optimization program are used.

关键词： Nurse scheduling Shift scheduling Mixed integer linear programming

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MRPHS: A Verilog RTL to C++ Model Compiler Using Intermediate Representations For Object-oriented, Model-driven Prototyping 34

MRPHS: A Verilog RTL to C++ Model Compiler Using Intermediat...

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34th international Workshop on Rapid System Prototyping, RSP 2023

作者： Strauch, Tobias EDAptix e.K. Munich Germany

ISBN: (纸本)9798400704109

The compilation of Verilog RTL designs into C or C++ models to be used in model-driven prototyping environments has recently become the subject of new research projects and publications. Our work describes the process of compiling Verilog RTL designs into C++ models which support intermediate representations. Depending on the given library, the compiled code can then be used for user-defined simulation targets, especially for object-oriented, model-driven prototyping scenarios. This allows user defined data, e.g. coverage points, to be propagated and modified throughout the design during simulation. We present examples such as symbolic RTL simulation, power consumption estimation on RTL as well as RTL ATPG for in-system stuck-at testing. We also present run-time comparison results. © 2023 Copyright held by the owner/author(s).

关键词： C++ (programming language)

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2022 IEEE international symposium on Advanced Control of Industrial Processes, AdCONIP 2022

2022 IEEE International Symposium on Advanced Control of Ind...

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7th IEEE international symposium on Advanced Control of Industrial Processes, AdCONIP 2022

ISBN: (纸本)9781665471749

The proceedings contain 63 papers. The topics discussed include: baseline correction using local smoothing optimization penalized least squares;high-grade hydrogen production from different feedstock using bubbling fluidized-bed gasifier with pressure swing adsorption;MPC model-plant-mismatch detection through slow feature analysis preprocessing with industrial application;a two-layer NN framework for modeling agro-hydrological systems;process decomposition and distributed fault detection of large-scale industrial processes;quality prediction for nonlinear dynamic processes using semi-supervised soft sensors: an application on ammonia decarburization processes;a simple approach to industrial soft sensor development and deployment for closed-loop control;distributionally robust chance-constrained optimization with deep kernel ambiguity set;dynamic reference programming-based model predictive control for optimal robust tracking;and mutual information induced slow-feature analysis of nonlinear dynamic systems and the application in soft sensors.

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New Formulations for Optimal User Coverage using 5G Millimeter-Wave-based Networks 13

New Formulations for Optimal User Coverage using 5G Millimet...

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13th international symposium on Communication systems, Networks and Digital Signal Processing (CSNDSP)

作者： Adasme, Pablo Cordero, Sergio Soto, Ismael Firoozabadi, Ali Dehghan Univ Santiago Chile Fac Engn Ctr Multidisciplinary Res Telecommun Technol CIMT Dept Elect EngnEstn Cent Ave Victor Jara 3519 Santiago Chile Univ Tecnol Metropolitana Dept Elect Ave Jose Pedro Alessandri 1242 Santiago Chile

ISBN: (数字)9781665410441

ISBN: (纸本)9781665410441

In this paper, we consider two optimization problems related to 5G millimeter wave (mmWave) networks. The first one consists of maximizing the number of covered users using a predefined number of base stations (BSs) while simultaneously minimizing the distances between users and BSs. Whereas the second one minimizes the total number of BSs required to cover all users in the network. Notice that mmWave technology has been conceived in the literature as one of the most promising techniques for 5G networks. However, there are still several issues to be addressed before this technology can be used massively in real-life networks. For example, mmWaves cannot penetrate walls easily and their path loss is high which reduces the transmission distances. We propose mixed-integer programming models to deal with these problems. Our models can solve instances with up to 100 BSs and 1000 users optimally. Our numerical results indicate that minimizing the distances between users and BSs and maximizing user coverage simultaneously leads to instances that are significantly harder to solve. Finally, we report the minimum number of BSs required to cover all users in the network together with the minimum radius that makes it possible.

关键词： Network planning mixed-integer quadratic and linear programming models user coverage millimeter wave based-Networks 5G wireless networks

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Exploiting Metaobjects to Reinforce Data Leakage Attacks 22

Exploiting Metaobjects to Reinforce Data Leakage Attacks

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25th international symposium on Research in Attacks, Intrusions and Defenses (RAID)

作者： Jeong, Hoyong Kim, Hodong Hur, Junbeom Korea Adv Inst Sci & Technol Grad Sch Informat Secur Daejeon South Korea Korea Univ Dept Comp Sci Seoul South Korea

ISBN: (纸本)9781450397049

Reflective features in modern programming languages allow programs to introspect and modify their own structures and behavior during runtime. As these self-referential capabilities are frequently adopted in practice, security of the reflective systems becomes crucial. In this paper, we explore an adversary against reflective systems with access to a data leakage channel, which has previously been considered impractical to pose a realistic threat. In particular, we show that a crucial component of reflection, referred to as metaobjects, can be exploited to reinforce these data leakage channels. We introduce a novel attack strategy that exploits certain metaobjects as in-memory gadgets to leak data in a selective and target-oriented manner, consequentially eliminating the unnecessary sampling procedures inevitable in naive data leakage attacks. Such approach significantly optimizes the data space subject to extraction, elevating the practicality of the underlying data leakage channel. As an instantiation of our strategy, we propose and demonstrate SMDL, a framework that exploits reflection to reinforce Meltdown-type attacks to steal valuable data from the victim's memory. To demonstrate the efficacy of our attack, we implement SMDL against two different target applications, cryptographic library and deep learning service, and show that the secret key and neural network can be extracted with high accuracy and efficiency. Finally, we suggest metaobject obfuscation techniques to mitigate such exploitation.

关键词： reflective programming memory disclosure meltdown

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Automated Control of a Coffee Machine - Learning Instrument

Automated Control of a Coffee Machine - Learning Instrument

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international symposium on Industrial Electronics (INDEL)

作者： Ondřej Sebera Peter Segeš David Bohac Faculty of Electrical Engineering and Communication) Brno University of Technology Czech republic

ISBN: (数字)9798350352320

ISBN: (纸本)9798350352337

This paper introduces a practical tutorial aimed at demonstrating the integration of cyber-physical systems across various hierarchical levels. The project involves the automation of a standard coffee machine, enabling it to autonomously prepare multiple beverage options in response to external commands. The tutorial serves as an educational tool for understanding the application of automation technologies in everyday appliances, providing a hands-on learning experience in control systems and automation processes.

关键词： Visualization Automation Operating systems Instruments Education Process control Tutorials Internet Standards programming profession

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Energy Efficiency Maximization in Cooperative Hybrid VLC/RF Networks with NOMA 17

Energy Efficiency Maximization in Cooperative Hybrid VLC/RF ...

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17th international symposium on Wireless Communication systems (ISWCS)

作者： Rallis, Konstantinos G. Papanikolaou, Vasilis K. Diamantoulakis, Panagiotis D. Khalighi, Mohammad-Ali Karagiannidis, George K. Aristotle Univ Thessaloniki Dept Elect & Comp Engn GR-54124 Thessaloniki Greece Aix Marseille Univ Inst Fresnel Cent Marseille CNRS Marseille France

ISBN: (纸本)9781728174327

In this paper, a cooperative hybrid visible light communications (VLC)/radio frequency (RF) network that employs non-orthogonal multiple access (NOMA) is investigated. More specifically, the resource allocation and the operating mode of the system is optimized to maximize a weighted energy efficiency metric, taking into accounts the particularities of the hybrid network. The resulting optimization problem is efficiently tackled with the use of Dinkelbach's algorithm and difference of convex programming. Using this solution, a deep neural network (DNN) is trained to find the operation mode and alleviate the computational cost of the overall problem leading to a close solution to the optimal. Finally, the effectiveness of the proposed setup is presented via Monte Carlo simulation results.

关键词： Training Measurement Wireless communication Radio frequency NOMA Optimization methods programming

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Discussion on the Foundation of Logic in Artificial Intelligence

Discussion on the Foundation of Logic in Artificial Intellig...

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Artificial Intelligence and Intelligent Manufacturing (AIIM), international symposium on

作者： Ke Li Yan Lin Min Lin Xinyu Cheng Chengdu University of Information Technology Chengdu China Chengdu Polytechnic China Sinopec Natural Gas Branch Yuji Pipeline Company Jinan China

ISBN: (数字)9798331541729

ISBN: (纸本)9798331541736

In recent years, generative AI models such as ChatGPT, based on Transformer architectures, have developed rapidly and become a hot topic in society. They are widely used in programming, audio, and video processing fields, significantly enhancing productivity in these areas. However, various problems have also arisen during their application. At its core, generative AI still relies on symbolic formal logic and lacks the ability to simulate human cognitive patterns of understanding the world through prior logic or even dialectical logic. As such, it is impossible for these systems to achieve strong artificial intelligence as we know it. Currently, computer systems are founded on discrete mathematics and symbolic logic. This paper proposes an idea that combines prior logic theory with object-oriented programming techniques, using categorical judgment methods as a foundation to mimic human cognition patterns and discusses a possibility of approaching the realization of strong artificial intelligence.

关键词： Accuracy Uncertainty Generative AI Annotations Object oriented modeling Transformer cores Transformers Cognition Logic Object oriented programming

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FLAG: Formula-LLM-Based Auto-Generator for Baseband Hardware

FLAG: Formula-LLM-Based Auto-Generator for Baseband Hardware

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IEEE international symposium on Circuits and systems (ISCAS)

作者： Yunwei Mao You You Xiaosi Tan Yongming Huang Xiaohu You Chuan Zhang Lab of Efficient Architectures for Digital-Communication and Signal-Processing (LEADS) National Mobile Communications Research Laboratory Southeast University Nanjing China Purple Mountain Laboratories Nanjing China

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Traditional hardware auto-generators efficiently assist designers in circuits generation, but still demand high programming skills. Large Language Models (LLMs) allow natural language programming, however, struggle with complex concepts in hardware design. To address this, we propose a formula-LLM-based auto-generator for baseband hardware, called FLAG. FLAG enhances LLMs’ understanding of complex formulas, and decreases the demands for designers’ skills. We showcase the ability of FLAG by generating a polar encoder with code length 8 and parallelism 4. Additionally, a polar encoder with code length 1024 and parallelism 4 is generated by FLAG, achieving comparable performance to state-of-the-art approaches. To the best of our knowledge, this is the first paper on LLM-assisted baseband hardware generation, which demonstrates the potential for large-scale baseband hardware generation using LLMs.

关键词： Baseband Codes Natural languages Circuits Parallel processing programming Hardware

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The application of virtual reality in programming of a manufacturing cell

The application of virtual reality in programming of a manuf...

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IEEE/SICE international symposium on System Integration (SII)

作者： Arnarson, Halldor Solvang, Bjorn Shu, Beibei UiT Arctic Univ Norway Dept Ind Engn Narvik Norway

ISBN: (纸本)9781728176581

programming of industrial robots and manufacturing equipment in general requires product specific expertise towards all members in a manufacturing cell. Typically, old and new equipment is present in the same setup and several experts are often involved in the operation of these systems. In order to decrease the level of complexity in programming of manufacturing equipment this paper investigates the use of virtual reality (VR), to create a common programming platform for typical members in a manufacturing setup. A two-way digital twin is created where all robots can be programmed through the same human-machine- interface (HMI). This cyber-physical system (CPS) allows for simulations, testing and safety checks before all programs are converted and downloaded to the respective units.

关键词： Virtual reality

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