检索结果-内蒙古大学图书馆

A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2020年 61卷 101844-000页

作者： Rauf, Mudassar Guan, Zailin Sarfraz, Shoaib Mumtaz, Jabir Shehab, Essam Jahanzaib, Mirza Hanif, Muhammad Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China Cranfield Univ Sch Aerosp Transport & Mfg Mfg Dept Cranfield Beds England Nazarbayev Univ Sch Engn Astana Kazakhstan Univ Engn & Technol Taxila Fac Ind Engn Taxila Pakistan Huazhong Univ Sci & Technol Sch Comp Sci Wuhan 430074 Hubei Peoples R China

Assembly Lines (ALs) are used for mass production as they offer lots of advantages over other production systems in terms of lead time and cost. The advent of mass customization has forced the manufacturing industries to update to Mixed-Model Assembly Lines (MMALs) but at the cost of increased complexity. In the real world, industries need to determine the sequence of models based on various conflicting performance measures/criteria. This paper investigates the Multi-Criteria Model Sequencing Problem (MC-MSP) using a modified simulation integrated smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm. To address the multiple criteria, a modified simulation integrated smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm was developed by integrating a priori approach with NEH algorithm. Discrete Event Simulation (DES) was used to evaluate each solution. A mathematical model was developed for three criteria: flow time, makespan and idle time. Further, to validate the effectiveness of the proposed SMC-NEH a case study and Taillard's benchmark instances were solved and a Multi-Criteria Decision-Making (MCDM) analysis was performed to compare the performance of the proposed SMC-NEH algorithm with the traditional NEH algorithm and its variants. The results showed that the proposed SMC-NEH algorithm outperformed the others in optimizing the conflicting multi criteria problem.

关键词： Multi-criteria optimization NEH algorithm Assembly Lines Mixed-Model Sequencing smart algorithm

来源：评论

学校读者我要写书评

暂无评论

Unprecedented smart algorithm for Uninterrupted SDN Services During DDoS Attack

引用

Computers, Materials & Continua 2022年第1期70卷 875-894页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Rizaludin Kaspin Iram Haider Sana Nisar J.P.C.Rodrigues Bhawani Shankar Chowdhry Muhammad AslamUqaili Satya Prasad Majumder Danda B.Rawat Richard Etengu Rajkumar Buyya Faculty of Computing&Informatics Multimedia UniversityPersiaranMultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation Centre63000CyberjayaSelangorMalaysia Federal University of Piauí(UFPI) TeresinaPIBrazil Instituto de Telecomunica珲es 6201-001Covilh?Portugal National Center of Robotics and Automation-Condition Monitoring Systems Lab MUETJamshoroPakistan Department of Electrical and Electronic Engineering BUETDhaka1205Bangladesh Department of Electrical Engineering and Computer Science Data Science and Cybersecurity CenterHoward UniversityWashingtonDCUSA Cloud Computing and Distributed Systems(CLOUDS)Laboratory School of Computing and Information SystemsThe University of MelbourneMelbourneVIC 3053Australia

In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of the SDN controller is sophisticated for the centralized control system of the entire ***,it creates a significant loophole for the manifestation of a distributed denial of service(DDoS)attack ***,recently a Distributed Reflected Denial of Service(DRDoS)attack,an unusual DDoS attack,has been ***,minimal deliberation has given to this forthcoming single point of SDN infrastructure failure ***,recently the high frequencies of DDoS attacks have increased *** this paper,a smart algorithm for planning SDN smart backup controllers under DDoS attack scenarios has *** proposed smart algorithm can recommend single or multiple smart backup controllers in the event of DDoS *** obtained simulated results demonstrate that the validation of the proposed algorithm and the performance analysis achieved 99.99%accuracy in placing the smart backup controller under DDoS attacks within 0.125 to 46508.7 s in SDN.

关键词： SDN smart algorithm RTZLK-DAASCP DDoS attack DRDoS

来源：评论

学校读者我要写书评

暂无评论

smart algorithm in wireless networks for video streaming based on adaptive quantization

引用

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2023年第9期35卷

作者： Taha, Miran Ali, Aree Univ Sulaimani Coll Sci Dept Comp Sci Sulaymaniyah Iraq

Nowadays, smart multimedia network services have become crucial in the healthcare system. The network parameters of Quality of Service (QoS) are widely affecting the efficiency and accuracy of multimedia streaming in wireless environments. This paper proposes an adaptation framework model, which makes a relation between the QP (quantization parameter) in H.264 and H.265 codecs and the QoS of 5G wireless technology. Besides, the effect of QP and packet loss have been studied because of their impact on video streaming. Packet loss of 5G wireless network characteristic is emulated to determine the impact of QP on the received video quality using objective and subjective quality metrics such as PSNR (peak signal to noise ratio), SSIM (structure similarity), and DMOS (differential mean opinion score). In this research, a Testbed is implemented to stream the encoded video from the server to the end users. The application model framework has automatically evaluated the QoE (Quality of Experience). Accordingly, the model detects the defect of network packet loss and selects the optimum QP value to enhance the QoE by the end-users. The application has been tested on low and high video motions with full high definition (HD) resolution (1920 x 1080) which were taken from (). Test results based on the objective and subjective quality measurements indicate that an optimal QP = 35 and QP = 30 have been chosen for low and high motion respectively to satisfy user QoE requirements.

关键词： Adaptative quantization Packet loss QoE smart algorithm Wireless network

来源：评论

学校读者我要写书评

暂无评论

smart Write algorithm to Enhance Performances and Reliability of an RRAM Macro

引用

IEEE JOURNAL OF SOLID-STATE CIRCUITS 2024年第9期59卷 3045-3057页

作者： Giraud, Bastien Ricavy, Sebastien Laffond, Cyrille Sever, Ilan Gherman, Valentin Lepin, Florent Diallo, Mariam Zenati, Khadija Dumas, Sylvain Guille, Olivier Vershkov, Maxim Bricalli, Alessandro Piccolboni, Giuseppe Noel, Jean-Philippe Samir, Anass Pillonnet, Gael Thonnart, Yvain Molas, Gabriel Univ Grenoble Alpes CEA List F-38000 Grenoble France Univ Grenoble Alpes CEA Leti F-38000 Grenoble France Weebit Nano Ltd IL-4527713 Hod Hasharon Israel

This article presents a comprehensive assessment of the impact of various design assist techniques on the inherent performance and reliability of native resistive RAM (RRAM) on silicon. The collaborative optimization of design and technology plays a crucial role in replacing conventional flash memory as the leading solution. We showcase that employing read-before-write, current-limitation, and write-termination techniques results in reductions of power consumption during programming operations by 47%, 56%, and 13%, respectively. Through their combination with write verification and error correction code mechanisms, these enhancements collectively achieve an 83% reduction in energy consumption and a notable 55% decrease in access time. These advancements are made possible by the introduction of a novel smart write algorithm (SWA). Leveraging a representative 128-kb RRAM macro implemented in 130-nm CMOS technology, this study significantly contributes to the feasible integration of RRAM for embedded applications. The experimental assessments on silicon validate the increased reliability, with a demonstrated 28.1-mu A read margin after undergoing 1 million cycles without encountering any read errors, maintaining a bit error rate (BER) below 10(-7) .

关键词： Adaptive and reconfigurable systems error correction code (ECC) non-volatile memory smart algorithm variant-tolerant

来源：评论

学校读者我要写书评

暂无评论

Proton Exchange Membrane Fuel Cell- A smart Drive algorithm

Proton Exchange Membrane Fuel Cell- A Smart Drive Algorithm

引用

International Conference on Green Energy and Conversion Systems (GECS)

作者： Derbeli, Mohamed Sbita, Lassaad Farhat, Maissa Barambones, Oscar Univ Gabes Natl Engn Sch Gabes Dept Elect Automat Gabes Tunisia Amer Univ Ras Al Khaimah Dept Elect Elect & Commun Engn Ras Al Khaymah U Arab Emirates Univ Basque Country Dept Ingn Sistemas & Automat Escuela Univ Ingn Vitoria Spain

ISBN: (纸本)9781509062874

Considering limited ability of Proton Exchange Membrane Fuel Cell (PEMFC) systems to produce power, it is necessary to provide conditions, in which, the maximum power of the PEMFC can be achieved. The maximum power point tracker has an important role in increasing the efficiency of the PEMFC. One of its difficulties is rapid changes in operating conditions which affects on the maximum power point. This paper presents a smart algorithm applied to DC/DC boost converter for extracting the maximum power from the PEMFC. In order to verify the performance of the proposed method, simulations are performed in MATLAB/SIMULINK environment. A comparison of results indicates that the proposed method has considerable advantages compared to conventional perturb and observe (P&O).

关键词： PEMFC Boost converter smart algorithm P&O

来源：评论

学校读者我要写书评

暂无评论

smart system for children's chronic illness monitoring

引用

INFORMATION FUSION 2018年 40卷 76-86页

作者： Sendra, Sandra Parra, Lorena Lloret, Jaime Tomas, Jesus Univ Granada Telemat & Commun Dept TSTC Dept Signal Theory Granada Spain Univ Politecn Valencia Inst Invest Gest Integrada Zonas Costeras IGIC Valencia Spain

Sick children need a continuous monitoring, but this involves high costs for the government and for the parents. The use of information and communication technologies (ICT) jointly with artificial intelligence and smart devices can reduce these costs, help the children and assist their parents. This paper presents a smart architecture for children's chronic illness monitoring that will let the caregivers (parents, teachers and doctors) to remotely monitor the health of the children based on the sensors embedded in the smartphones and smart wearable devices. The proposed architecture includes a smart algorithm developed to intelligently detect if a parameter has exceeded a threshold, thus it may imply an emergency or not. To check the correct operation of this system, we have developed a small wearable device that is able to measure the heart rate and the body temperature. We have designed a secure mechanism to stablish a Bluetooth connection with the smartphone. In addition, the system is able to perform the data fusion in both the information packetizing process, which contributes to improve the protocol performance, and in the measured values combination, where it is used a stochastic approach. As a result, our system can fusion data from different sensors in real-time and detect automatically strange situations for sending a warning to the caregivers. Finally, the consumed bandwidth and battery autonomy of the developed device have been measured. (C) 2017 Elsevier B.V. All rights reserved.

关键词： smart algorithm Chronic diseases Child monitoring eHealth Wearable devices

来源：评论

学校读者我要写书评

暂无评论

smart System to Detect and Track Pollution in Marine Environments

Smart System to Detect and Track Pollution in Marine Environ...

引用

IEEE International Conference on Communications (ICC)

作者： Parra, Lorena Sendra, Sandra Jimenez, Jose M. Lloret, Jaime Univ Politecn Valencia Inst Invest Gest Integrada Zonas Costeras Gandia 46730 Valencia Spain

ISBN: (纸本)9781467363051

Marine pollution is a worldwide problem that affects the water environment, the economy and even the human health. Depending on the type of pollutant, it is required different techniques to remove it. In order to avoid higher impact and damage in the affected area, the most important action is to perform a quick detection and determine where the pollution stain or spill is. Due to its fast dispersion, the case of oil spills is especially critic because they are almost impossible to clean if the decontamination tasks do not start immediately. For this reason, in this paper we propose a system based on a smart algorithm which is able to detect, track and locate pollution stains, such as oil spills. The system is composed by wireless nodes that are able to move towards the end of the stain seeking its edge. Nodes use IEEE 802.15.4 and the Global Position System (GPS), to communicate the final position of the stain. Finally, we tested the operation of our system, using the routing protocols Ad hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance Vector (DSDV). Our results show that it presents better performance when using reactive protocols.

关键词： smart algorithm Wiresles Sensor Networks Environment Sensing Pollution Detection

来源：评论

学校读者我要写书评

暂无评论

A smart Bluetooth-Based Ad Hoc Management System for Appliances in Home Environments

A Smart Bluetooth-Based Ad Hoc Management System for Applian...

引用

13th International Conference on Ad-Hoc Networks and Wireless (ADHOC-NOW)

作者： Sendra, Sandra Laborda, Antonio Diaz, Juan R. Lloret, Jaime Univ Politecn Valencia Inst Invest Gest Integrada Zonas Costeras Valencia 46730 Spain Univ SANJORGE Zaragoza Spain

ISBN: (纸本)9783319074252;9783319074245

The number of home devices integrating new technologies is continuously increasing. These advances allow us to improve our daily routines. In addition, the improvement in network infrastructure and the development of smart phones and mobile devices allow us access from any place to any of our systems over the Internet. Bearing in mind this idea, we have developed a low-cost ad hoc protocol based on Bluetooth technology that allows us to control all our home appliances and monitor the power consumption of our homes. Our proposal is based on an Android application installed on a mobile device which acts as server. The application allows users to program the various appliances. It is also able to check the status of the appliance, as well as controlling the power consumption of the house and its cost. The system is equipped with a smart algorithm able to manage all appliances and decide which ones should work as a function of various criteria such as time of day or power consumption. Finally, the system is able to detect faults in water and electricity supply for acting accordingly. All data received and sent by the server are stored in a database which the system can check and compare to make their own decisions.

关键词： Electrical household appliances Bluetooth Android applications smart algorithm Ad-hoc network Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Control and optimization of a hybrid solar PV - Hydro power system for off-grid applications using particle swarm optimization (PSO) and differential evolution (DE)

引用

ENERGY REPORTS 2023年 10卷 4253-4270页

作者： Iweh, Chu Donatus Akupan, Ebunle Rene Univ Abomey Calavi Ecole Polytech Abomey Calavi Lab Energet & Mecan Appl LEMA 01 BP 2009 Cotonou Benin Univ Buea Fac Engn & Technol FET POB 63 Buea Cameroon

The use of artificial intelligence (AI) - based tools in the optimization of renewable energy (RE) systems is increasing. These tools could even be more useful to developing countries like Cameroon with abundant RE resources, yet low rural electrification rate. However, the optimization of these energy systems especially in hybrid forms is still a challenge. This paper uses an AI-based Particle Swarm Optimization (PSO) and Differential Evolution (DE) for the design and optimization of a stand-alone hybrid solar PV - hydro-battery power system. These algorithms were developed using the MATLAB software. The proposed smart algorithms ensure that the load is met at a minimum levelized cost of energy (LCOE) and acceptable loss of power supply probability (LPSP). After simulation, DE gave an optimum LPSP of 0.0499 and optimum LCOE of 0.06192 $/kWh after the 19th iteration under set operational limits while PSO gave an optimum LPSP of 0.0492 and optimum LCOE of 0.06358 $/kWh after the 40th iteration. The optimal net present value (NPC) obtained from the PSO and DE were USD $ 96,175.26 and USD $ 93,958.07 respectively. While DE gave a lesser LCOE than PSO, the LPSP obtained using the PSO technique was smaller, signifying more system reliability. The optimum system size of DE showed the least LCOE with the proposed capacities of 1 kW PV, 33.96 kW hydropower and zero battery. The optimized system ensures a proper power management within the hybrid system. An appraisal of the two algorithms showed that the DE tool is accurate and a better option than PSO in terms of cost and speed of convergence. Further statistical analysis revealed that PSO was more robust. The optimal cost function obtained from both algorithms is acceptable for rural electrification projects.

关键词： MATLAB LCOE LPSP smart algorithm Artificial Intelligence Rural Electrification Cameroon System Reliability Cost Function

来源：评论

学校读者我要写书评

暂无评论

A QoE adaptive management system for high definition video streaming over wireless networks

引用

TELECOMMUNICATION SYSTEMS 2021年第1期77卷 63-81页

作者： Taha, Miran Canovas, Alejandro Lloret, Jaime Ali, Aree Univ Politecn Valencia Integrated Management Coastal Res Inst Valencia Spain Univ Sulaimani Dept Comp Coll Sci Sulaymaniyah Iraq Univ Halabja Comp Dept Halabja Iraq

The development of the smart devices had led to demanding high-quality streaming videos over wireless communications. In Multimedia technology, the Ultra-High Definition (UHD) video quality has an important role due to the smart devices that are capable of capturing and processing high-quality video content. Since delivery of the high-quality video stream over the wireless networks adds challenges to the end-users, the network behaviors 'factors such as delay of arriving packets, delay variation between packets, and packet loss, are impacted on the Quality of Experience (QoE). Moreover, the characteristics of the video and the devices are other impacts, which influenced by the QoE. In this research work, the influence of the involved parameters is studied based on characteristics of the video, wireless channel capacity, and receivers' aspects, which collapse the QoE. Then, the impact of the aforementioned parameters on both subjective and objective QoE is studied. A smart algorithm for video stream services is proposed to optimize assessing and managing the QoE of clients (end-users). The proposed algorithm includes two approaches: first, using the machine-learning model to predict QoE. Second, according to the QoE prediction, the algorithm manages the video quality of the end-users by offering better video quality. As a result, the proposed algorithm which based on the least absolute shrinkage and selection operator (LASSO) regression is outperformed previously proposed methods for predicting and managing QoE of streaming video over wireless networks.

关键词： Adaptive streaming QoE assessment and management smart algorithm Prediction model Wireless network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：