2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)最新文献_第5页

Prediction of User's Purchase Intention Based on Machine Learning 基于机器学习的用户购买意愿预测

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.21

Liu Bing, Shi Yuliang

引用次数: 8

A Single Layer Hermite Neural Network Based Direct Adaptive Control of DC-DC Buck Converter 基于单层Hermite神经网络的DC-DC降压变换器直接自适应控制

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.19

Tousif Khan Nizami, C. Mahanta

{"title":"A Single Layer Hermite Neural Network Based Direct Adaptive Control of DC-DC Buck Converter","authors":"Tousif Khan Nizami, C. Mahanta","doi":"10.1109/ISCMI.2016.19","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.19","url":null,"abstract":"This paper presents a novel control scheme for the output voltage tracking problem of dc-dc buck converter. The proposed control structure integrates a direct adaptive backstepping control approach with a single functional layer Hermite neural network (HNN). Buck converter is a variable structure model with a highly uncertain loading pattern. Hence an estimator based on HNN is employed to estimate the load perturbations influencing the converter. The accurate and timely information about the unanticipated load resistance strengthens the control law in order to attain the desired objective. The online adaptive laws are derived based on Lyapunov stability criterion ensuring the overall stability of the buck converter equipped with the proposed control. The performance of the proposed method is evaluated by subjecting the buck converter to a wide range variations in load resistance, input voltage and reference output voltage. Further, the merits of proposed control are highlighted by comparing the performance with the standard adaptive backstepping control technique under identical conditions of simulation study. Performance indices such as peak overshoot, peak undershoot and settling time have been evaluated, which clearly indicate the outperformance of proposed control.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"581 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123459683","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

Name-Centric Gender Inference Using Data Analytics 使用数据分析的以名字为中心的性别推断

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.44

S. Pudaruth, Upasana Singh, Hoshiladevi Ramnial

引用次数: 1

Robust Object Tracking Method Dealing with Occlusion 处理遮挡的鲁棒目标跟踪方法

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.41

Qinjun Zhao, Wei Tian, Qin Zhang, Junxu Wei

引用次数: 2

Visuo-Somatosensory Interaction for Space Telescience of Fluid Experiments 空间流体实验中视觉-体感交互作用

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.17

Ge Yu, Yan Wang, Taotao Fu, Ji Liang, Lili Guo

{"title":"Visuo-Somatosensory Interaction for Space Telescience of Fluid Experiments","authors":"Ge Yu, Yan Wang, Taotao Fu, Ji Liang, Lili Guo","doi":"10.1109/ISCMI.2016.17","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.17","url":null,"abstract":"In this paper, we propose a novel visuo-somatosensory interaction strategy for space telescience experiments to provide a realistic 'virtual presence' at the space experiment workplace in a sequential multi-step process. We provide background on the current available tools for telescience experiment and discuss the requirements when performing the liquid bridge experiment. We model the fluid as physical-based data-driven dynamic particles and develop to display in 3D stereoscopic scenario using the Oculus Rift. We design the task-command hierarchical interaction solution for less mental workload and the recognition algorithm of a series of understandable hand(s) gestures for intuitive control using Leap Motion. We introduce tactile-based augmentation interaction to provide a helpful guide. Finally, the results show the proposed method can provide a more efficient, natural and intuitive user experience compared with traditional interaction. For space experiment of liquid bridge, two-hand gestures show the higher accuracy and less mental workload than the single-hand gesture and the variant gesture. Also, a pilot study of gesture-based control with tactile feedback is validated to be a potentially powerful solution to enhance the user's interaction experience.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116891290","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: 1

Topic Identification System to Filter Twitter Feeds 主题识别系统过滤Twitter feed

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-09-15 DOI: 10.1109/ISCMI.2016.14

S. Altammami, O. Rana

引用次数: 5