I. N. Choudhury, Aishwaryaprajna, Arundhuti Ghosh, Saunak Chatterjee, Atasi Sarkar, S. Basu, J. Chatterjee, A. Sadhu, Tandra Sarkar, Subhankar Poddar, Atanu Sengupta, Abhijit Chatterjee, Debjani Chakraborty
{"title":"A Semi-automated Fuzzy Multi-criteria Decision Support System for Radiological Diagnosis of Lung Cancer","authors":"I. N. Choudhury, Aishwaryaprajna, Arundhuti Ghosh, Saunak Chatterjee, Atasi Sarkar, S. Basu, J. Chatterjee, A. Sadhu, Tandra Sarkar, Subhankar Poddar, Atanu Sengupta, Abhijit Chatterjee, Debjani Chakraborty","doi":"10.1109/SPIN.2018.8474253","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474253","url":null,"abstract":"Lung cancer diagnosis is still a challenge because of the subjective differences among experts’ opinions. While the patho-biological basis of lung lesion varies, it becomes imperative to take into consideration every diagnostic modality (macro and microscopic), but usually decision making follows a heuristic framework. A semi-automated fuzzy multi-criteria decision support system is proposed which considers the smeared knowledgebase (embedding heuristics) to understand the problem and adopts a systemic approach to understand lung cancer by malignant potentiality indexing (MPI) and score prediction. Our proposed technique is able to assist for acquisition of information from the experts, analysis of the information, detection of disease potentiality, diagnosis and prognosis through MPI and it may act as an input for patient’s pathological assessment and treatment modality.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127573407","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}
Tanvi Gupta, Pranay Manocha, T. Gandhi, Rakesh K. Gupta, B. K. Panigrahi
{"title":"Tumor Segmentation and Gradation for MR Brain Images","authors":"Tanvi Gupta, Pranay Manocha, T. Gandhi, Rakesh K. Gupta, B. K. Panigrahi","doi":"10.1109/SPIN.2018.8474246","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474246","url":null,"abstract":"MRI is a non-invasive technology that is currently used for analyzing brain tumors, which can only conclusively be graded by invasive tissue extraction. Techniques like perfusion used for analysis of tumors are time taking, therefore, there is increased focus towards automated computational techniques to segment and grade tumors using standard MR sequences like T1 and T2 weighted images. These are intensity based images and are not enough to grade tumors, thus, are not used in clinical practice. This work automates tumor segmentation without the use of templates and training sets, by using vertical symmetry comparison. Once the tumor is segmented, fuzzy c means clustering is used on T1 and T2 maps, that are generated by using three intensity based sequences namely T1, T2 and proton density (PD) fat saturated images, for tumor grading. The clustered sections are compared with cerebral blood volume (CBV) images that are obtained by perfusion parameters to find correlation. 15 patients, 5 each from 4th, 3rd and 2nd grade tumor categories, were tested. Some correlation is seen between T1, T2 map values of tumor region and CBV values showing that this area can be explored further for tumor grading.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127852300","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}
{"title":"Separation of PCG signal from Mixture of Speech and PCG Signals with Genetic Algorithm-Based Filter Banks","authors":"J. Singh, P. Lehana","doi":"10.1109/SPIN.2018.8474161","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474161","url":null,"abstract":"The aim of the paper is to separate the phonocardiographic (PCG) signal from the mixture of PCG and speech signals. Therefore, genetic algorithm (GA) based filter-banks approach has been used to separate the signal. In this proposed technique, speech signal was modified and then subtracted from mixed signal to obtain the PCG signal. The modification in the speech was performed by modifying the short-time Fourier transform magnitude response. The magnitude response was further decomposed into nine filter-banks, each of bandwidth 50 Hz, upto 450 Hz. The magnitude components in each filter-band were varied with the weights of GA. The phase component was not modified. Extracted PCG signals were evaluated using Mel-frequency cepstral coefficients (MFCCs) based Mahalanobis distance measure and perceptual evaluation of speech quality. It is observed that GA performs well to extract PCG signal form mixture, with population size 30, number of weights 10 and the number of iterations less than 80. The proposed technique shows better accuracy than FastICA, however, the main limitation of the GA-based filter banks is the time complexity arising due to the involvement of iterative behavior.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117189225","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}
{"title":"Precision Capacitance Multiplier with Low Power and High Multiplication Factor","authors":"Shashwat Singh, Jatin, N. Pandey, R. Pandey","doi":"10.1109/SPIN.2018.8474039","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474039","url":null,"abstract":"Second Generation Current Conveyors (CCIIs) based capacitance multiplier, suitable for resolving a large grounded capacitor is proposed in this paper. The realization is convenient for further integration in ICs. The effects of CCIIs non-idealities are also elaborated. The simulation results of proposed capacitance multiplier is accomplished using SPICE that holds true with the theoretical predictions.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124603185","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}
Chandrajeet Kumar Nanda, S. Ballav, A. Chatterjee, S. K. Parui
{"title":"A Body Wearable Antenna Based on Jeans Substrate with Wide-Band Response","authors":"Chandrajeet Kumar Nanda, S. Ballav, A. Chatterjee, S. K. Parui","doi":"10.1109/SPIN.2018.8474082","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474082","url":null,"abstract":"The real time monitoring transmission and reception of measured information has become an essential part of all communication systems related to human being, which may be provided by wearable antenna technology, working in UWB frequency range. A simple design of an ultra-wide band antenna with improved design and bandwidth is proposed with an additional feature of end fire antenna in the lower frequency range of operation. Wearable antennas can be an integral part of IoT9internet of Things) and BAN (Body Area Network) which requires high data transmission rate with a real time observation and transmission. The proposed antenna is designed on jeans fabric as the substrate which is one of the widely used wearable clothing materials. The antenna design is similar to a stair case structure. The antenna operates in the wide frequency range of 1-6.58 GHz. The average gain achieved for the proposed UWB antenna ranges between2-5 dBi. The different characteristics of the antenna such as reflection coefficient, radiation Pattern (2D and 3D), gain and efficiency are studied and presented. Comparison of previously designed antennas and the proposed antenna has been carried out. The antenna is designed using HFSS software.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162165","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}
{"title":"Generalised Fractional-Order Oscillators using OTA","authors":"Amiyajeet Pradhan, R. K. Sharma","doi":"10.1109/SPIN.2018.8474177","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474177","url":null,"abstract":"This paper presents two generalized oscillator configurations employing three operational transconductance amplifiers (OTAs) and two fractional-order capacitors. General fractional-order oscillator theorems are used for analysis and derivation of generalized expressions for condition of oscillation (CO), frequency of oscillation (FO) and phase involving parameters of fractional-order element (FOE). LM13700 type OTA’s library file has been used in Pspice simulation for verification of the working of oscillator configurations detailed in this communication.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125274845","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}
Sonu Kumar, Arjun Tyagi, Tarpit Sahu, Pushkar Shukla, A. Mittal
{"title":"Indian Art Form Recognition Using Convolutional Neural Networks","authors":"Sonu Kumar, Arjun Tyagi, Tarpit Sahu, Pushkar Shukla, A. Mittal","doi":"10.1109/SPIN.2018.8474290","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474290","url":null,"abstract":"Indian Culture is one of the richest cultures of the world. Art forms are a key component of the Indian culture that reveal a great deal about the various traditions, customs and practices of ancient as well as modern India. The paper proposes a framework classify Indian art forms into 8 different categories viz. Kalamkari, Kangra, Madhubani, Mural, Pattachitra, Portrait, Tanjore and Warli depending upon the style of art form. The proposed framework relies on the fusion of several state of the art deep convolutional neural networks for feature extraction from the dataset. Further, the experiments were carried out on a newly introduced dataset of over two thousand digital images of Indian paintings. The data-set is publically available for further experimentations. The model is able to achieve an accuracy of 86.56% outperforming other models.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615208","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}
Madhurima Peram, Sandhyarani Mishra, Madhuri Vemulapaty, Bharat Verma, P. Padhy
{"title":"Optimal PI-PD and I-PD Controller Design Using Cuckoo Search Algorithm","authors":"Madhurima Peram, Sandhyarani Mishra, Madhuri Vemulapaty, Bharat Verma, P. Padhy","doi":"10.1109/SPIN.2018.8474214","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474214","url":null,"abstract":"In this paper, the Cuckoo search algorithm is used to find optimal tuning parameters for I-PD and PI-PD controllers. A comparative study between the I-PD and PI-PD controllers is performed, in which both controller performance has been compared by the Integral Square Error and Settling time. Three simulation examples of DC motor speed control are considered to demonstrate the superior performance of the PI-PD controller as compared to the I-PD controller in the presence of load disturbance.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880308","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}
{"title":"Cryptanalysis of an Image Encryption Scheme using Reverse 2-dimensional Chaotic Map and Dependent Diffusion","authors":"K. Panwar, R. Purwar, Anchal Jain","doi":"10.1109/SPIN.2018.8474240","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474240","url":null,"abstract":"With increasing data transmission, image encryption schemes have also developed in recent years. Recently, an image encryption scheme has been proposed to overcome the flaws of fridrich architecture. In this paper, partial cryptanalysis of image encryption scheme has been performed in which combined confusion and diffusion is effectively separated as the crypto-system is independent of plain image. With chosen plain text attack, diffusion keys and permutation sequences can be generated. The encryption scheme is entirely dependent on external secret keys and has been found vulnerable.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714607","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}
{"title":"Improved Block-based Technique using SURF and FAST Keypoints Matching for Copy-Move Attack Detection","authors":"B. Soni, P. Das, Dalton Meitei Thounaojam","doi":"10.1109/SPIN.2018.8474093","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474093","url":null,"abstract":"Due to the advancement of image manipulation tool or techniques, the copy-move attack detection from digital images has become the challenging and active research area. This paper proposes an improved block-based technique for copy-move attack detection using Speeded Up Robust Features (SURF) and Features from Accelerated Segment Test (FAST) keypoint matching. In the first phase of this technique, the image is divided into non-overlapping blocks and SURF descriptors are extracted from each block. These descriptors are matched using 2NN procedure and match blocks are identified. In the second phase, large blocks are constituted by concatenating the neighboring blocks of each matching block. Thereafter, from each large block FAST features points are extracted and matched using 2NN. Finally, the affine transform is applied to remove the outliers if any. The proposed technique is tested using MICC-F220 and MICC-F2000 standard datasets and it yields better performance in comparison with state of the art techniques.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128361579","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}