2020 IEEE Calcutta Conference (CALCON)最新文献_第7页

Two Stage Semantic Segmentation by SEEDS and Fork Net 基于seed和Fork网络的两阶段语义分割

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106468

Aritra Mukherjee, Prithwish Jana, Sayak Chakraborty, S. Saha

引用次数: 4

An Energy Efficient 32 Bit Approximate Dadda Multiplier 一种节能的32位近似数据乘法器

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106548

S. Chanda, K. Guha, Santu Patra, Loukrakpam Merin Singh, Krishna Lal Baishnab, Prashanta Kumar Paul

引用次数: 2

Control of Bifurcation in a PWM Controlled dc Series Motor Drive PWM控制直流串联电机驱动分岔控制

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106562

S. Adhikary, D. Chatterjee, K. Chakrabarty

引用次数: 0

Human Activity Recognition based on Summarized Semi-detailed Frame Information and Contextual Features 基于汇总半细节框架信息和上下文特征的人类活动识别

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106564

Dibyadip Chatterjee, Charu Arora, Saurajit Chakraborty, S. Saha

引用次数: 0

High-κ Dielectrics on 20nm FDSOI FinFET: Study on Analog and RF Performance 20nm FDSOI FinFET的高κ介电体:模拟和射频性能研究

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106503

G. P. Nikhil, Chinmay Dimri, P. K. Mohanty, R. Saha, S. Routray

引用次数: 0

Motion Based Video Skimming 基于动作的视频浏览

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106488

I. Alam, Devesh Jalan, Priti Shaw, Partha Pratim Mohanta

{"title":"Motion Based Video Skimming","authors":"I. Alam, Devesh Jalan, Priti Shaw, Partha Pratim Mohanta","doi":"10.1109/CALCON49167.2020.9106488","DOIUrl":"https://doi.org/10.1109/CALCON49167.2020.9106488","url":null,"abstract":"Automatic video summarization is a sustainable method that provides efficient browsing and searching mechanism for long videos. Video skimming is one of the popular ways to represent a summary of a full-length video. This work describes an unsupervised technique that automatically extracts the important clips from an input video and generates a summarized version of that video. The proposed scheme of video skimming is composed of three parts: extraction of motion based features, selection of important clips, detection, and removal of the shot boundary, if any, within a clip. Each frame is represented by a 32-dimensional feature vector that is generated using the slope and magnitude of the motion vectors. A set of representative frames of the entire video is obtained using the k-means clustering followed by the Maximal Spanning Tree (MxST). These representative frames are the center point of the clips to be generated. A window is considered around these representative frames and the clip is formed. A shot boundary may exist within the clip. To detect such a shot boundary, a method is proposed considering the variations present in the pixel intensities of the frames of a clip. The variation among the frames is captured using the standard deviation of the distribution of the pixel intensities. The clips are reformed in case the boundary is detected. Finally, the skim is generated by concatenating extracted video clips in a sequential manner. The obtained video summaries are concise and the proper representation of the input videos. The experiment is performed on two benchmark datasets namely SumMe and TVSum. Experimental results show that the proposed method outperforms the state-of-the-art methods.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736972","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

Applying Fourier Inspired Windows for Concept Drift Detection in Data Stream 应用傅立叶启发窗口进行数据流中的概念漂移检测

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106537

Sumit Misra, Dipan Biswas, S. Saha, C. Mazumdar

{"title":"Applying Fourier Inspired Windows for Concept Drift Detection in Data Stream","authors":"Sumit Misra, Dipan Biswas, S. Saha, C. Mazumdar","doi":"10.1109/CALCON49167.2020.9106537","DOIUrl":"https://doi.org/10.1109/CALCON49167.2020.9106537","url":null,"abstract":"Detecting concept drift by mining data stream is essentially based on two parameters - (a) the window length for observing the data, and (b) the threshold for the difference in certain properties of the data observed to confirm the drift. Efforts are mostly focused on the evaluation the statistical properties or building models using the data in the window. Less focus has been given in arriving at the size of the window length. This paper presents a Fourier analysis based mechanism to determine the window length and also presents a simple but novel algorithm for drift detection. The work is termed as Fourier Inspired Windows for Concept Drift detection (FIWCD). Fourier-inspired window slides over the stream till no drift are suspected and model parameters are gradually updated as and when required. Once a drift is suspected, the trend is observed and new model parameters are computed for the transitory phase. The transitory model and previous concept model are compared to confirm or reject the drift. Performance of proposed drift detection technique has also been compared with two popular drift detection techniques namely, Change Point Detection and Hypothesis Testing. Experiment with three commonly used public data sets reflects that FIWCD exhibits better resemblance to the ground truth.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267192","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

Investigations on the Radiation Characteristics of a CPW-Fed Yagi-Inspired Strip Monopole Antenna cpw馈电yagi单极天线辐射特性研究

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106491

Sohini Banerjee, M. Gangopadhyay, A. Banerjee, S. Chatterjee

引用次数: 0

PV assisted Fuzzy based EV charge scheduling for demand side energy management: a case study 基于光伏辅助的模糊电动汽车充电调度需求侧能源管理案例研究

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106509

Soumya Ghorai, D. Majumdar, Tushar Jash, Susanta Ray

引用次数: 4

Design, Simulation & Thermal Analysis of an Interior Permanent Magnet Synchronous Motor for a Fork-lift Truck Application 叉车内置式永磁同步电机的设计、仿真与热分析

2020 IEEE Calcutta Conference (CALCON) Pub Date : 2020-02-01 DOI: 10.1109/CALCON49167.2020.9106494

Sayani Chatterjee, Ashesh Mandal, S. Dalapati, P. Halder, K. Mukherjee

{"title":"Design, Simulation & Thermal Analysis of an Interior Permanent Magnet Synchronous Motor for a Fork-lift Truck Application","authors":"Sayani Chatterjee, Ashesh Mandal, S. Dalapati, P. Halder, K. Mukherjee","doi":"10.1109/CALCON49167.2020.9106494","DOIUrl":"https://doi.org/10.1109/CALCON49167.2020.9106494","url":null,"abstract":"This paper presents the design, simulation and thermal analysis of an Interior Permanent Magnet Synchronous Motor (IPMSM) which is suitable for traction application for an electric fork-lift truck. An existing squirrel cage induction motor used for electric fork-lift application has been initially studied for obtaining the required performance metrics. Similar performance indices have been achieved out of a proposed IPMSM design that has been presented. The primary design objective has been to obtain (i) the optimum dimensions and shape of the buried permanent magnet with its placement details in the rotor, and (ii) the winding arrangement in the stator which would be capable of delivering the same torque and speed characteristics at better efficiency maintaining the same stator outer diameter, number of slots, bore diameter and the shaft diameter as that of the existing squirrel cage induction motor used for the same application. An analytical approach based design of an IPMSM, employing a bottom-up approach, is presented, based on the Constant Power Speed Range (CPSR) and other performance requirements. A few possible designs verified by Finite Element Analysis (FEA) are compared, which meet all the performance specifications, and, eventually the finally accepted design is presented.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118858","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