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Development of an android platform for monitoring QCM sensor-array based Electronic Nose 基于QCM传感器阵列的电子鼻监测android平台的开发
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276693
Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
{"title":"Development of an android platform for monitoring QCM sensor-array based Electronic Nose","authors":"Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1109/ASPCON49795.2020.9276693","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276693","url":null,"abstract":"The objective of this paper is to develop a microcontroller-based, real-time data acquisition, and remotely operated system, also called the Remote Sensing System for a Standalone E-Nose System (RSENS). The Volatile Organic Compounds (VOC) content of a provided sample is detected using Quartz Crystal Microbalance (QCM) sensors and stored. The data obtained is analyzed in the RSENS using its GUI interface attached to it. This paper investigates remote control of the RSENS where the system operation and the data can be accessed remotely by an Android application through a common cloud server that connects both the android application and the RSENS. Moreover, the analyzed data is also visualized on the remote Android platform. The RSENS can analyze and store the data in the cloud server wherein real-time monitoring application can retrieve it from the server and perform additional plots and apply other segregation algorithms, as well as modify the generated data.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126293029","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
Classification of Text regions in a Document Image by Analyzing the properties of Connected Components 基于连通成分属性的文档图像文本区域分类
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276688
Showmik Bhowmik, R. Sarkar
{"title":"Classification of Text regions in a Document Image by Analyzing the properties of Connected Components","authors":"Showmik Bhowmik, R. Sarkar","doi":"10.1109/ASPCON49795.2020.9276688","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276688","url":null,"abstract":"Document layout analysis is a mandatory step in order to develop an effective and complete document image processing system. In this step, an input document image is segmented into different regions. These regions are then classified as text or non-text. The non-text regions are further classified into different sub-classes like table, image, separator, graphic, chart etc., whereas text regions are classified as title, paragraph, header, footer, caption, drop-capital etc. In this paper, a connected component analysis based method is presented to classify a particular text region as title, heading, paragraph, drop-capital, header or footer. In doing so, the positional and size-based information of a region along with its alignment property is applied. To showcase the effectiveness of this method, the output of the segmentation system BINYAS is provided both with and without the present text region classification module for some sample document images taken from RDCL 2017 dataset.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125928914","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
EMG Artifacts Removal from Multi-Channel EEG Signals using Multi-Channel Singular Spectrum Analysis 利用多通道奇异谱分析从多通道脑电信号中去除肌电信号伪影
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276684
Muhammad Zubair
{"title":"EMG Artifacts Removal from Multi-Channel EEG Signals using Multi-Channel Singular Spectrum Analysis","authors":"Muhammad Zubair","doi":"10.1109/ASPCON49795.2020.9276684","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276684","url":null,"abstract":"The Electroencephalogram (EEG) is the brain signals which are most normally debased by Electromyogram (EMG) antiquities. The presence of these EMG antiquities covers the necessary information in an EEG signal. In this paper, we have proposed another strategy named as Multi-channel Singular Spectrum Analysis (MSSA) in light of Singular Value Decomposition (SVD) to expel muscle or EMG antiquities from multi-channel EEG signals. At first, the orthogonal eigenvectors of multi-channel data are estimated by performing SVD which are acquired from the covariance matrix. Since the frequency variations of eigenvectors related to EEG signal are quite low when compared to the EMG signal, so we fix some peak frequency threshold to find out the frequencies related to EEG signal, then the frequencies related to EMG signals are suppressed and the artifact free Multi-channel EEG signal is extracted. Finally, our proposed technique is applied on a noisy sinusoidal signals to test the performance of the proposed method and then it is applied on synthetic EEG signals mixed with the EMG artifacts. Simulation results are then compared with Canonical Correlation Analysis (CCA) to show that the proposed method eliminates EMG antiquities more adequately without amending the required data.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115302504","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
A Convex Optimization Based Path Planning Algorithm for Robot Motion in Constrained Space 基于凸优化的受限空间机器人运动路径规划算法
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276730
Mitali Sil, S. Bhaumik, R. K. Barai
{"title":"A Convex Optimization Based Path Planning Algorithm for Robot Motion in Constrained Space","authors":"Mitali Sil, S. Bhaumik, R. K. Barai","doi":"10.1109/ASPCON49795.2020.9276730","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276730","url":null,"abstract":"In this paper a unique algorithm is proposed for optimal path planning of a robot end-effector in a constrained space with static obstacle. The algorithm for the optimal cubic spline corresponding to the reference/desired joint trajectory is obtained using a convex optimization based algorithm. For optimization L2 / L∞ norm based cost functions are considered and the continuity of the velocity and the acceleration of the robot in joint space at each and every boundary point is taken as the constraint. Finally, the proposed algorithm is developed using MATLAB CVX and is applied for path planning of the end-effector of a SCARA, in presence of circular obstacle in its workspace. Simulation results are presented to have validation of the proposed algorithm.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122797946","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
ASPCON 2020 Cover Page ASPCON 2020封面
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/aspcon49795.2020.9276701
{"title":"ASPCON 2020 Cover Page","authors":"","doi":"10.1109/aspcon49795.2020.9276701","DOIUrl":"https://doi.org/10.1109/aspcon49795.2020.9276701","url":null,"abstract":"","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131123227","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
Vision Based Communicator 基于视觉的通信器
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276664
Avish Kabra, Chandan Agrawal, H. Pallab Jyoti Dutta, M. Bhuyan, R. Laskar
{"title":"Vision Based Communicator","authors":"Avish Kabra, Chandan Agrawal, H. Pallab Jyoti Dutta, M. Bhuyan, R. Laskar","doi":"10.1109/ASPCON49795.2020.9276664","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276664","url":null,"abstract":"This work provides a vision-based human-computer interface. The interface senses and interprets eye-blinks as controls along with gaze detection methods. We used image processing methods like haar-like features for automatic face detection, followed by eye tracking and blink detection based on landmarks. The gaze detection mechanism helps in easy controlling of the mouse pointer which can help people with disabilities to communicate effectively. A heatmap is also generated so that in future developments, this data can be used to design a more efficient layout for the controls. Given the necessity to move towards online solutions, such data can cater to the needs of a variety of sectors.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121757498","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
Study of Asymmetric Behavior of Soft X-Ray Flares During Solar Cycle 24 太阳第24周期软x射线耀斑的不对称行为研究
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276656
A. Prasad, Soumya Roy, S. C. Panja, S. N. Patra
{"title":"Study of Asymmetric Behavior of Soft X-Ray Flares During Solar Cycle 24","authors":"A. Prasad, Soumya Roy, S. C. Panja, S. N. Patra","doi":"10.1109/ASPCON49795.2020.9276656","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276656","url":null,"abstract":"The data of soft x-ray solar flare activity for the interval 2008 to 2019 which covers the ascending, maximum, descending & part of minimum period of solar cycle 24 has been used for investigating the behavior of North-South (N-S) and East-West (E-W) asymmetries. Our statistical analysis revealed that the N-S asymmetry is a real phenomenon and that the solar cycle 24 shows southern predominance which is similar to the past solar cycle 21, 22 and 23. Hence a long-term periodic behavior could be inferred. The E-W asymmetry for the considered is found to be slight western dominated but the associated probability values indicates a statistically insignificant result.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801933","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
Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application 在应用程序之前测量边缘检测算子的适合程度
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276678
Abhishek Kesarwani, Kiran Purohit, M. Dalui, D. Kisku
{"title":"Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application","authors":"Abhishek Kesarwani, Kiran Purohit, M. Dalui, D. Kisku","doi":"10.1109/ASPCON49795.2020.9276678","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276678","url":null,"abstract":"Unlike image restoration, image enhancement techniques are found to be subjective in nature as the appearance of an output image depends upon human perception. Hence, it is very difficult to determine the appropriateness of image enhancement techniques including edge detection operators prior to an application. This paper makes use of regression models to determine the suitability of edge detection operators before operators to be executed. With the existing operators, a novel Hybrid technique is used in the evaluation. The Hybrid detector is designed by combining Canny and Sobel operators with the gradient of texton image. This approach estimates a model as an objective function to determine the degree of proximity or suitability of edge detection operators under regression constraints on two publicly available databases, viz. the BSDS300 and the Multi-cue. The experimental results exhibit that the Hybrid edge detector outperforms other operators for measuring the proximity for appropriateness.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099283","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: 4
A Smart-Band Operated Wrist Rehabilitation Robot 智能腕带操作手腕康复机器人
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276666
Sunit Thakur, Subir Das, S. Bhaumik
{"title":"A Smart-Band Operated Wrist Rehabilitation Robot","authors":"Sunit Thakur, Subir Das, S. Bhaumik","doi":"10.1109/ASPCON49795.2020.9276666","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276666","url":null,"abstract":"Many people in the world are increasingly suffering from stroke issues. Survivors often tend to suffer from hemiplegia or related conditions, in which some portion of their body may be rendered useless. The wrist is one such part. But this injury can be recovered by conventional rehabilitation processes like physical therapy. In this paper, a device for robot-assisted physical therapy is presented for wrist rehabilitation. It can overcome the lack of availability of physical therapists and reduce the cost incurred in long-term therapy. Also, it can provide accurate regular exercises without missing any step even in the absence of the therapist. These two DOF robotic devices can learn the physical exercise (i.e. wrist-based movements) from the trained therapist through an electronic smart-band. It can also replicate these exercises when the patient wears this device over his/her wrist. Here, an accelerometer sensor and a magnetometer sensor-based smart-band are used for recognizing the wrist motions like flexion, extension, abduction, and adduction. The objective of this preliminary work is to drive accurately all the motor actuators which are attached to the robot and calibrate the feedback sensor to reflect the movement of the smart-band. In the future, this robot can be used as a teleoperated rehabilitation device through an IoT platform.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123735241","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
Enhanced QoS Performance with Reduced Route Overhead by Ant Colony Optimization Algorithm for VANET 蚁群优化算法在减小路由开销的前提下提高VANET的QoS性能
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276726
Sreya Ghosh, I. Saha Misra
{"title":"Enhanced QoS Performance with Reduced Route Overhead by Ant Colony Optimization Algorithm for VANET","authors":"Sreya Ghosh, I. Saha Misra","doi":"10.1109/ASPCON49795.2020.9276726","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276726","url":null,"abstract":"The relevancy of VANET has increased enormously in the last decade. This field of intelligent transport system has to deal with dynamic vehicular traffic with high mobility that makes multi-hop communication links more vulnerable and unreliable. To encounter the matters like delay, packet dropping, this research work proposes a novel routing algorithm named as Reduced Routing Overhead using Ant Colony Optimization (RRO-ACO) with ACK packet broadcasting. Using Ant Colony Optimization (ACO) vehicular nodes can forward packet in more educated manner and use of ACK packets reduce redundant packet transmission. Traffic simulator SUMO and network simulator NS 2.34 are used to compare proposed algorithm with existing (Route DiscoveryACO) RDACO and RAGR (Road Aware Geographical Routing). Results show that proposed method (RROACO) outperforms the existing algorithms in terms of the Qos parameters like throughput, packet delivery ratio and network latency.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398208","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
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