Engineering Proceedings最新文献_第8页

Optimal Analysis of 40 Gbps Dispersion Compensated Optical Fiber System 40gbps色散补偿光纤系统的优化分析

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021012066

M. Hassan, Arslan Arif

引用次数: 0

Assessment of Embodied Energy and Environmental Impact of Sustainable Building Materials and Technologies for Residential Sector 住宅领域可持续建筑材料和技术的隐含能源和环境影响评估

Engineering Proceedings Pub Date : 2021-12-30 DOI: 10.3390/engproc2021012062

M. Mahboob, Muzaffar Ali, T. Rashid, Rabia Hassan

引用次数: 4

Effect of Banana Fiber on Flexural Properties of Fiber Reinforced Concrete for Sustainable Construction 香蕉纤维对可持续建筑纤维增强混凝土抗弯性能的影响

Engineering Proceedings Pub Date : 2021-12-30 DOI: 10.3390/engproc2021012063

Ahsan Afraz, M. Shoukath Ali

引用次数: 6

Synthetic Aircraft Trajectories Generated with Multivariate Density Models 用多元密度模型生成的合成飞机轨迹

Engineering Proceedings Pub Date : 2021-12-30 DOI: 10.3390/engproc2021013007

Timothé Krauth, J. Morio, X. Olive, Benoit Figuet, Raphael Monstein

引用次数: 6

Wearable Hand-Rehabilitation System with Soft Gloves for Patient with Face Paralysis and Disability 面向面部瘫痪和残疾患者的可穿戴软手套手部康复系统

Engineering Proceedings Pub Date : 2021-12-30 DOI: 10.3390/engproc2021012056

Waqas Ahmed, Muhammad Kashif Sattar, Wajeeha Shahnawaz, Umair Saeed, Shahbaz Mehmood Khan, Neha Amon Khan

{"title":"Wearable Hand-Rehabilitation System with Soft Gloves for Patient with Face Paralysis and Disability","authors":"Waqas Ahmed, Muhammad Kashif Sattar, Wajeeha Shahnawaz, Umair Saeed, Shahbaz Mehmood Khan, Neha Amon Khan","doi":"10.3390/engproc2021012056","DOIUrl":"https://doi.org/10.3390/engproc2021012056","url":null,"abstract":"Artificially intelligent advances such as tech gloves allow handicapped wearers to handle daily matters as normal. A wearable hand-rehabilitation system, i.e., a robotic arm, is engineered with controlled programming to control a disabled hand with features such as movement of fingers and holding items. A life-threatening disease (stroke) is caused when brain cells start to die, causing around 50–70% of patients to face paralysis and disability. People may face after-effects such as reduced use of the hand and limb or a paralyzed hand. Many methods have been introduced to overcome these issues, including therapies, but they are not so reliable when overcoming disability issues. To overcome these issues, we proposed a smart robotic hand that encounters hand disability issues. The smart robotic hand will aid the hands of disabled people by replacing their disabled hand with the smart robotic hand and by controlling the movement of the robot with the movement of the other hand. This can also be helpful for environments where it is not feasible for humans to work, such as in nuclear reactors and in bomb disposal squads. Some people have disabilities of the hand, so this smart robotic hand can also be used in that scenario. The robotic hand is mainly controlled through a flex sensor. By using Arduino, flex sensor outputs are mapped accordingly to the servo motors. The robot is controlled by a wired arrangement.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80234303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Cellulose Blended Membranes for High-Salinity Water Pervaporation Desalination 高盐度水渗透蒸发脱盐用纤维素混合膜

Engineering Proceedings Pub Date : 2021-12-30 DOI: 10.3390/engproc2021012057

Jawad Fareed, M. Zafar, M. Saleem, R. Malik, Muddassir Ali

引用次数: 3

Predication-Error-Based Intrinsically Motivated Saccade Learning 基于预测错误的内动机扫视学习

Engineering Proceedings Pub Date : 2021-12-29 DOI: 10.3390/engproc2021012048

Ihsan Ahmed, Wasif Muhammad, Ali Asghar, M. J. Irshad

{"title":"Predication-Error-Based Intrinsically Motivated Saccade Learning","authors":"Ihsan Ahmed, Wasif Muhammad, Ali Asghar, M. J. Irshad","doi":"10.3390/engproc2021012048","DOIUrl":"https://doi.org/10.3390/engproc2021012048","url":null,"abstract":"The quick, simultaneous movements of both eyes in the same direction is called a saccade, and the process of developing an internal model for the eyes’ movement-control based on visual stimuli is called saccade learning. All humans use this type of eye motion to bring salient objects to the foveal locations of the retina, even if the objects are located randomly in the surrounding environment. To begin with, infants are not able to perform this type of eye motion, but sensory information motivates them to start learning saccadic behavior. In this paper, a sensory prediction-error-based intrinsically motivated model is proposed for learning saccadic eye movements, and this approach is more consistent with biological systems for saccade learning. Predicted Coding/Biased Competition using Divisive Input Modulation (PC/BC-DIM) network is used for saccade learning using sensory prediction errors. The quantification of sensory prediction errors provides an intrinsic reward. A simulated humanoid agent, iCub, is used to assess and quantify the performance of the proposed model. The performance metrics used for this purpose are percentage mean post-saccadic distance and standard deviation. The mean post-saccadic distance for the proposed model was less than 1°, which is biologically plausible.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87220852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In Search of a “Stable Green Nanofluid” for Applications in High Voltage Equipment 寻找用于高压设备的“稳定的绿色纳米流体”

Engineering Proceedings Pub Date : 2021-12-29 DOI: 10.3390/engproc2021012058

Mohammad Zeagham, Tariq M. Jadoon, M. Qureshi, B. Qureshi, S. Sabir

引用次数: 3

Synthesis and Characterization of Carbon-Based Composites for Hydrogen Storage Application 储氢用碳基复合材料的合成与表征

Engineering Proceedings Pub Date : 2021-12-29 DOI: 10.3390/engproc2021012052

Arslan Munir, Ali Ahmad, Muhammad Tahseen Sadiq, Ali Sarosh, Ghulam Abbas, Asad Ali

引用次数: 1

Prediction Error-Based Action Policy Learning for Quadcopter Flight Control 基于预测误差的四轴飞行器飞行控制动作策略学习

Engineering Proceedings Pub Date : 2021-12-29 DOI: 10.3390/engproc2021012047

Jamal Shams Khanzada, Wasif Muhammad, M. J. Irshad

{"title":"Prediction Error-Based Action Policy Learning for Quadcopter Flight Control","authors":"Jamal Shams Khanzada, Wasif Muhammad, M. J. Irshad","doi":"10.3390/engproc2021012047","DOIUrl":"https://doi.org/10.3390/engproc2021012047","url":null,"abstract":"Quadcopters are finding their place in everything from transportation, delivery, hospitals, and to homes in almost every part of daily life. In places where human intervention for quadcopter flight control is impossible, it becomes necessary to equip drones with intelligent autopilot systems so that they can make decisions on their own. All previous reinforcement learning (RL)-based efforts for quadcopter flight control in complex, dynamic, and unstructured environments remained unsuccessful during the training phase in avoiding the trend of catastrophic failures by naturally unstable quadcopters. In this work, we propose a complementary approach for quadcopter flight control using prediction error as an effective control policy reward in the sensory space instead of rewards from unstable action spaces alike in conventional RL approaches. The proposed predictive coding biased competition using divisive input modulation (PC/BC-DIM) neural network learns prediction error-based flight control policy without physically actuating quadcopter propellers, which ensures its safety during training. The proposed network learned flight control policy without any physical flights, which reduced the training time to almost zero. The simulation results showed that the trained agent reached the destination accurately. For 20 quadcopter flight trails, the average path deviation from the ground truth was 1.495 and the root mean square (RMS) of the goal reached 1.708.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84771113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0