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检索条件"任意字段=20th Conference on System Modeling and Optimization"

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20th International Industrial Simulation conference, ISC 2022

20th International Industrial Simulation Conference, ISC 202...

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20th International Industrial Simulation conference, ISC 2022

ISBN: (纸本)9789492859211

the proceedings contain 9 papers. the topics discussed include: optimization of a two-stage logistic system using hybrid filtered beam search algorithm;continuous victim model for use in mass casualty incident simulations;optimal survey path for MCM operations using variable length genetic algorithms;statistical optimization with an outer loop of six;computational analysis of FRP tapered utility poles;the FeDiNAR system evolved: providing AR experiences of consequences of human actions;energy demand trends during COVID-19 pandemic;a simulation-based method for the correction of positioning errors in robot-guided fused deposition modeling;and homogenization of speed control path in torque drives of production machines by means of finite element analysis.

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modeling of p+/n-well and n+/p-well Diodes Based on 1μm CMOS Technology Using GWO Algorithm 20

Modeling of p+/n-well and n+/p-well Diodes Based on 1μm CMO...

引用

20th International Multi-conference on systems, Signals and Devices, SSD 2023

作者： Mekheldi, Mohammed Filali, Walid Garoudja, Elyes Oussalah, Slimane Centre de Développement des Technologies Avancées Plateforme Technologique de Micro-Fabrication Algiers Algeria Centre de Développement des Technologies Avancées Division Microélectronique et Nanotechnologies Algiers Algeria

ISBN: (纸本)9798350332568

Two different diode configurations - n+/p-well and p+/n-well - are fabricated and characterized according to the standard CMOS 1μm process technology at the Micro-fabrication Technological Platform (PTM) of the Centre de Developpement des Technologies Avancees (CDTA). Current-voltage measurements of the diodes are done for different temperatures, 27, 120, and 160 °C. Using heuristic algorithm, which called Grey Wolf optimization (GWO), the obtained I-V data were used to extract the main diode electronic parameters, such as ideality factor (n), barrier height (φb), saturation current (Is) and series resistance (Rs). the extraction stage aims to provide information regarding the devices' enhancement and conduction process. the results confirm the validity of the process design and parameters extraction. © 2023 IEEE.

关键词： optimization

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2024 20th International conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2024

2024 20th International Conference on Wireless and Mobile Co...

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20th International conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2024

ISBN: (纸本)9798350387445

the proceedings contain 120 papers. the topics discussed include: uplink least slack time scheduling for XR services in 5G advanced networks;resource-aware split federated learning for fall detection in the metaverse;a graph clustering-based network anomaly detection system;spotlight flooding: enabling point-to-point control connection in urban UAV networks;delay analysis of the BFT blockchain data dissemination: case of narwhal protocol;securing shared subscriptions in MQTTv5 for IoT networks: vulnerability analysis and mitigation;K-anonymous payments in pseudonymous blockchains;capacity optimization in NB-IoT networks using genetic algorithm-based device grouping;and trajectory-based handover cell selection algorithm using GRU model in 5G networks.

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Radio Resource Allocation by controlling Number of MIMO Layers per Subband for Fronthaul-limited Shared Radio Unit 20

Radio Resource Allocation by controlling Number of MIMO Laye...

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IEEE 20th Consumer Communications and Networking conference (CCNC)

作者： Oyama, Teppei Kobayashi, Takaharu Wen, Yun Seyama, Takashi Dateki, Takashi Fujitsu Ltd Nakahara Ku 4-1-1 Kamikodanaka Kawasaki Kanagawa 2110053 Japan

ISBN: (纸本)9781665497343

5G NR is an emerging technology to overcome the mobile traffic explosion which is triggered by various new services. Radio Access Network (RAN) sharing between different Mobile Network Operators (MNOs) is expected to be an efficient method to reduce the CAPEX and OPEX while at the same time increase the flexibility of networks. this paper studies the radio unit (RU) sharing between MNOs. We propose a resource allocation scheme to overcome the deterioration of performance induced by limited bandwidth of fronthaul and increase of inter-RU interference. In our proposed scheme, whole radio-frequency bandwidths are divided into subbands and the number of MIMO layers per subband are controlled. We reveal the effectiveness of our proposed method by utilizing system level simulations.

关键词： 5G NR RU Sharing PF Utility O-RAN RIC Radio Resource optimization MIMO

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NER4OPT: Named Entity Recognition for optimization Modelling from Natural Language 20th

NER4OPT: Named Entity Recognition for Optimization Modelling...

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20th International conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR)

作者： Dakle, Parag Pravin Kadioglu, Serdar Uppuluri, Karthik Politi, Regina Raghavan, Preethi Rallabandi, SaiKrishna Srinivasamurthy, Ravisutha Fidel Investments AI Ctr Excellence Boston MA 02210 USA Brown Univ Dept Comp Sci Providence RI 02912 USA

ISBN: (纸本)9783031332708;9783031332715

Solving combinatorial optimization problems involves a two-stage process that follows the model-and-run approach. First, a user is responsible for formulating the problem at hand as an optimization model, and then, given the model, a solver is responsible for finding the solution. While optimization technology has enjoyed tremendous theoretical and practical advances, the overall process has remained the same for decades. To date, transforming problem descriptions into optimization models remains a barrier to entry. To alleviate users from the cognitive task of modeling, we study named entity recognition to capture components of optimization models such as the objective, variables, and constraints from free-form natural language text, and coin this problem as Ner4Opt. We show how to solve Ner4Opt using classical techniques based on morphological and grammatical properties and modern methods leveraging pre-trained large language models and fine-tuning transformers architecture with optimization-specific corpora. For best performance, we present their hybridization combined with feature engineering and data augmentation to exploit the language of optimization problems. We improve over the state-of-the-art for annotated linear programming word problems, identify several next steps and discuss important open problems toward automated modeling.

关键词： optimization modeling Named Entity Recognition Natural Language Processing

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Evaluation of the overall effectiveness (OEE) of autonomous transportation system (AHS) equipment and its impact on mine design. Open pit mine case study 18

Evaluation of the overall effectiveness (OEE) of autonomous ...

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18th International conference on Future Networks and Communications (FNC) / 20th International conference on Mobile systems and Pervasive Computing (MobiSPC) / 13th International conference on Sustainable Energy Information Technology (SEIT)

作者： Pais Cerna, Gabriel Eugenio Coronado Hernandez, Jairo Rafael Mojica Herazo, Julio Cesar Pineres Castillo, Aurora Univ Andres Bello Santiago 8320000 Chile Univ Costa Calle 58 55-66 Barranquilla 08002 Colombia

In recent years, the increasing demand for autonomous vehicles in the mining industry has led to a greater focus on integrating these solutions with mine design. As technology advances, mining companies are looking to maximize the benefits of automation in terms of efficiency, productivity, and safety. the adoption of autonomous vehicles in mine design allows for the optimization of planning and operation of mining activities. Autonomous equipment can work continuously, reducing downtime and improving resource utilization. this has a direct impact on the overall equipment effectiveness (OEE), as availability and performance are significantly enhanced. In this research, the overall equipment effectiveness (OEE) of an Autonomous Haulage system (AHS) and its impact on the design of an open-pit mine were evaluated at the engineering level in Chile. Additionally, a representative month of operation (January 2034) was modeled using discrete event simulation technique with current operation and AHS philosophies. the results of this model, which were validated and calibrated based on historical information, meetings with different work groups, and understanding of the engineering level of the study, indicate that the OEE of manual operation is 14.4% lower than that of AHS operation, demonstrating an opportunity for the implementation of this technology.

关键词： AHS Evaluation Autonomous Mine

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Hardware Implementation of PID Autotuning with Efficient Particle Swarm optimization 20

Hardware Implementation of PID Autotuning with Efficient Par...

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20th International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Khongprasongsiri, Chanon Areerob, Punyapat Boonto, Sudchai Vongsantivanich, Wasanchai National Astronomical Research Institute of Thailand Thailand King Mongkut's University of Technology Thonburi Thailand

ISBN: (纸本)9798350310467

Severa1 intelligent control systems these days are utilized by the concept of automatically tuning, especially in proportional-integral-derivative (PID) controller. Furthermore, increasing sensors and actuators disrupt the conventional computing system, which has limited resources and is difficult to meet the timing requirement. this paper develops a hardware implementation of PID auto-tuning based on the particle swarm optimization (PSO) with the parallel architecture of particles and variables so that latency is heuristically minimal. the result shows that the proposed hardware performs 1000x and 800x compared to conventional microprocessors. From the evaluation process, performance and resource utilization are found to be satisfactory compared to conventional PID. © 2023 IEEE.

关键词： Parallel architectures

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BML3: Accurate Bandwidth Measurement for QoE optimization in Low Latency Live Streaming 20

BML3: Accurate Bandwidth Measurement for QoE Optimization in...

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20th International conference on the Design of Reliable Communication Networks (DRCN)

作者： Bentaleb, Abdelhak Hammoudi, Sarra Concordia Univ Gina Cody Sch Engn & Comp Sci Montreal PQ Canada Univ Bordj Bou Arreridj Fac Math & Comp Sci El Anceur Algeria

ISBN: (纸本)9798350348972

HTTP adaptive streaming (HAS) has become the most popular system for delivering videos over the Internet. When it comes to live video, it is hard to deliver an actual, real, and interactive live streaming experience. the latency problem is especially noticeable when video is distributed using conventional HAS techniques. Meanwhile, with the emergence of common media application format (CMAF) and chunked transfer encoding (CTE), HAS can deliver low-latency live streaming without sacrificing encoder efficiency. While using CMAF/CTE can achieve a lower latency by allowing a media segment to be generated and delivered at the same time, conventional adaptive bitrate (ABR) techniques suffer from inaccuracies in bandwidth measurements due to the presence of idle periods between the chunks that arise because of variable network conditions and the encoder speed. the bandwidth measurement issue results in wrong ABR decisions and, therefore, a low viewer experience. To bridge this gap, this paper presents BML3, a robust bandwidth measurement solution for low-latency live streaming scenarios. BML3 implements three steps, namely, chunk boundary identification, chunk filtering, and segment bandwidth smoothing, to enhance the viewer QoE performance while achieving a near-second camera-to-display latency. We confirm the effectiveness of BML3 through trace-driven live streaming experiments, with our results showcasing a minimum of 38% enhancement in bandwidth measurement accuracy and a notable 23% to 46% improvement in average QoE across various LLL-based ABR schemes, compared to its counterparts.

关键词： HAS DASH HAS ABR LLL low-latency live video streaming CMAF CTE LL-DASH chunked encoding fetch API QoE viewer experience bandwidth measurement

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Optimal Rotated QPSK Constellation for a Semi-Orthogonal Multiple Access Visible Light Communication system 20

Optimal Rotated QPSK Constellation for a Semi-Orthogonal Mul...

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IEEE 20th Consumer Communications and Networking conference (CCNC)

作者： Sahoo, Sudhir K. Dash, Soumya P. Joshi, Sandeep Ghose, Debasish IISc Bangalore Dept Elect Syst Engn Bangalore 560012 Karnataka India Indian Inst Technol Bhubaneswar Sch Elect Sci Khordha 752050 Odisha India BITS Pilani Dept Elect & Elect Engn Pilani 333031 Rajasthan India Kristiania Univ Coll Sch Econ Innovat & Technol N-5022 Bergen Norway

ISBN: (纸本)9781665497343

A rotated quadrature phase-shift keying (QPSK) based semi-orthogonal multiple access (SOMA) data transmission is considered for a visible light communication (VLC) system with two users. the rotation of the QPSK constellation at the transmitter followed by a data pre-processing technique at the receiver of each user ensures the elimination of the successive interference cancellation unit. An optimal maximum likelihood receiver is proposed for the system under consideration using which, the closed-form expressions for the symbol error probability (SEP) for both the users in the VLC system are derived. the optimization problem to obtain the optimal angle of rotation of the QPSK constellation which minimizes the SEP of the users is formulated and solved. the dependency of the optimality of the QPSK rotation angle on various VLC system parameters is studied via numerical results which lead to the observation of a value of the signal-to-noise ratio of the system around 8.8 dB about which the dependency of the optimal rotation angle on the other VLC system parameters interchange, thus providing design aspects for a SOMA-VLC system.

关键词： Quadrature-phase shift keying (QPSK) semiorthogonal multiple access (SOMA) symbol error probability (SEP) visible light communication (VLC)

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the Hybrid Method of Inference system Based on Experts' Rules and Machine Learning with an Uncertainty Aspect 20th

The Hybrid Method of Inference System Based on Experts' Rule...

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20th International conference on Information Processing and Management of Uncertainty in Knowledge-Based systems

作者： Gil, Dorota Pekala, Barbara Univ Rzeszow Rzeszow Poland Univ Informat Technol & Management Rzeszow Poland

ISBN: (纸本)9783031739965;9783031739972

Rule-based approximate reasoning systems are an important decision-making tool in many application problems. the use of expert knowledge or machine learning techniques to create rules does not exhaust the problems of representing data and decision dependencies, therefore we propose a hybrid/mixed technique for creating a set of rules while effectively modeling uncertainty through interval-valued fuzzy representation in the problem of detecting falls of elderly people. the obtained prediction confirms the correctness of the choice of diagnostic methodology.

关键词： Adversarial machine learning

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