2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)最新文献_第6页

Integrating and Validating Maritime Transport Security Services: Initial results from the CS4EU demonstrator 整合和验证海上运输安全服务:CS4EU演示器的初步结果

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474213

Christos Grigoriadis, Spyridon Papastergiou, P. Kotzanikolaou, C. Douligeris, A. Dionysiou, E. Athanasopoulos, K. Bernsmed, P. H. Meland, Liina Kamm

{"title":"Integrating and Validating Maritime Transport Security Services: Initial results from the CS4EU demonstrator","authors":"Christos Grigoriadis, Spyridon Papastergiou, P. Kotzanikolaou, C. Douligeris, A. Dionysiou, E. Athanasopoulos, K. Bernsmed, P. H. Meland, Liina Kamm","doi":"10.1145/3474124.3474213","DOIUrl":"https://doi.org/10.1145/3474124.3474213","url":null,"abstract":"Maritime transport is a characteristic example of a collaborative and complex cyber-physical environment, involving various stakeholders and actors, with different goals and requirements. Securing such a complex ecosystem is a challenging task and has recently attracted various research efforts in different areas including, threat management, system hardening, trust management and communication security. However, the integration and validation of such targeted maritime transport security services is a complex task that has its own challenges. In this paper we present the preliminary results of the maritime transport security services demonstrator, developed under the CyberSecurityForEurope (CS4EU) pilot project. We have set up a demonstrator to integrate, extend and validate four maritime-specific security services, covering risk and threat management, system hardening, trust management and secure communications. Our goal is to enhance the provisioning of these services and to identify possible research and implementation gaps.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121022765","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: 3

A Tensor Decomposition Based Approach for Context-Aware Recommender Systems (CARS) 基于张量分解的上下文感知推荐系统(CARS)

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474191

Sparsh Shukla, Ishita Kalsi, Ayush Jain, Ankita Verma

引用次数: 0

Quantum Communication: Concept, Applications, and Future Outlook 量子通信:概念、应用和未来展望

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474131

Tanya Rastogi, Vikas Hassija, V. Saxena

引用次数: 1

Fusion Framework for Morphological and Multispectral Textural Features for Identification of Endometrial Tuberculosis 鉴别子宫内膜结核的形态学和多光谱纹理特征融合框架

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474150

Varsha Garg, Anita Sahoo, V. Saxena

{"title":"Fusion Framework for Morphological and Multispectral Textural Features for Identification of Endometrial Tuberculosis","authors":"Varsha Garg, Anita Sahoo, V. Saxena","doi":"10.1145/3474124.3474150","DOIUrl":"https://doi.org/10.1145/3474124.3474150","url":null,"abstract":"Endometrial Tuberculosis (ETB) is primarily diagnosed in infertile females as a fallout of Female Genital Tuberculosis (FGTB). An effective and fast computational method to diagnose ETB from Transvaginal ultrasound (TVUS) images is of great importance to the community. The objective of this paper is to obtain an optimal subset of features for an effective and discriminative analysis of TVUS images for identifying ETB. The TVUS images from different medical centers in India have been collected under expert supervision from female patients. Texture and Morphological features effectively capture the observations made by the experts for identifying the problem in hand. Therefore a fusion framework model is proposed where the extracted image features are fused and an optimal subset of features is obtained for identification. Multiresolution transformation of ill-defined TVUS images highlights the directional, multi- scale spectral textural features. Therefore, to obtain discriminatory textural features, images are transformed using Non-Subsampled Contourlet Transformation (NSCT) before feature extraction. Experimental results of the fusion model for classification show significant improvements and prove to be more efficient. The proposed methodology records an F-score of 0.845 with a sensitivity score of 0.818 for the dataset available. A feature reduction of 64.5% is attained for the classification of the dataset after feature selection.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504802","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

An Encoder-decoder based approach for generating Faces using Facial Attributes using CNN 一种基于编码器-解码器的基于CNN的面部属性生成人脸的方法

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474166

Anu Saini, Mukul Rawat, Nikhil Pandey, Puneet Gupta

{"title":"An Encoder-decoder based approach for generating Faces using Facial Attributes using CNN","authors":"Anu Saini, Mukul Rawat, Nikhil Pandey, Puneet Gupta","doi":"10.1145/3474124.3474166","DOIUrl":"https://doi.org/10.1145/3474124.3474166","url":null,"abstract":"This paper addresses the challenge of generating faces using facial attributes. Although there are researches the address the problem of generating faces, they do so by using a facial image as a base and changing the required attributes. To solve this problem, we make CNN models to learn a classifier that can predict these features (1 feature per model) and output their labels. Labels are the enumerated value each attribute can take. Then these models are combined into one model to generate a dataset that maps the above 6 facial features to each image. This prepared dataset is then used to train the final CNN model that learns to generate a 200 × 200 × 3 matrix using a 6 × 1 matrix as input. The output matrix represents the resolution of the image with 3 channels namely, Red, Green and Blue. This 3D array when plotted gives the desired image. The 6 × 1 matrix represents the six labels. To improve the output, the final CNN model is changed and an Auto-encoder and decoder are used. Also, instead of 6 × 1 input array, 55 × 1 input array is used. This is first trained to regenerate images from an input image. The decoder from this trained model is then used for transfer learning. The decoder is retrained to learn the features specified by the 55 × 1 input matrix. Finally, this decoder is used to generate the desired images of size 150 × 150 × 3 using the 55 × 1 input matrix.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115306390","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

Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features 基于时空特征的监控视频真实暴力检测

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474161

Anugrah Srivastava, Tapas Badal, Rishav Singh

引用次数: 1

The Variegated Applications of Deep Learning Techniques in Human Activity Recognition 深度学习技术在人类活动识别中的多种应用

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474156

Gautham Sathish Nambissan, Prateek Mahajan, Shivam Sharma, Neha Gupta

{"title":"The Variegated Applications of Deep Learning Techniques in Human Activity Recognition","authors":"Gautham Sathish Nambissan, Prateek Mahajan, Shivam Sharma, Neha Gupta","doi":"10.1145/3474124.3474156","DOIUrl":"https://doi.org/10.1145/3474124.3474156","url":null,"abstract":"Humans are vivacious and obstinate in that they are plagued by a constant need to be motile and sprightly which gives us a goldmine of data to work on. This constant stream of ever-changing activities performed by us could be dissected fastidiously to gain insight into the specifications of that activity. This could spur the use of IoT, automated devices and real-time monitoring. A variety of techniques some of which are video camera feeds which could be sourced from CCTVS and sensors, could be put to use to efficaciously procure data. This paper will delve into the various techniques proposed by various researchers and compare their performance on various deep learning and machine learning models to analyse them intrinsically. We will also showcase our own model consisting of the use of a 3D tempo-spatial dataset called the UCI-HAR dataset employing various deep learning models like LSTM, SVMs and more. The deep learning model will be improved upon by architectural and hyper parameter improvements. Other sections will discuss the related works including the datasets used in Human Activity Recognition. Also contained in the discussion section are the technicalities of the papers like the accuracy and the relevancy of the deep learning models being used. A proposed hybrid models using both video feed and sensor data for recognition will be floated. A panoply of industries including the health and defence sectors stand to gain from the rapid recognition of human activities.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134458070","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

ACOUSTIC FEATURES, BERT Model AND THEIR COMPLEMENTARY NATURE FOR ALZHEIMER’S DEMENTIA DETECTION 声学特征、BERT模型及其互补性在阿尔茨海默氏症检测中的应用

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474162

Nayan Anand Vats, Aditya Yadavalli, K. Gurugubelli, A. Vuppala

{"title":"ACOUSTIC FEATURES, BERT Model AND THEIR COMPLEMENTARY NATURE FOR ALZHEIMER’S DEMENTIA DETECTION","authors":"Nayan Anand Vats, Aditya Yadavalli, K. Gurugubelli, A. Vuppala","doi":"10.1145/3474124.3474162","DOIUrl":"https://doi.org/10.1145/3474124.3474162","url":null,"abstract":"Dementia is a syndrome chronic or progressive that usually affects the cognitive functioning of the subjects. Alzheimer’s, a neurodegenerative disorder, is the leading cause of dementia. One of the many symptoms of Alzheimer’s Dementia is the inability to speak and understand language clearly. The last decade has seen a surge in the research done in Alzheimer’s Dementia detection using Linguistics and acoustic features. This paper takes up the Alzheimer’s Dementia classification task of ADReSS INTERSPEECH-2020 challenge, ”Alzheimer’s Dementia Recognition through Spontaneous Speech: The ADReSS Challenge”. It uses eight different acoustic features to find the attributes in the human speech production system (vocal track and excitation source) affected by Alzheimer’s Dementia. In this study, the Alzheimer’s dementia classification is performed using five different Machine Learning models using ADReSS INTERSPEECH-2020 challenge dataset. Since most of the studies in the previous literature have used linguistic features successfully for Alzheimer’s dementia classification, the current study also demonstrates the performance of the BERT model for the dementia classification task. The maximum accuracy obtained by the acoustic feature is 64.5%, and the BERT Model provides a classification accuracy of 79.1% over the test dataset. Finally, the score-level fusion of the acoustic model with the BERT Model shows an improvement of 6.1% classification accuracy over the BERT Model, which indicates the complementary nature of acoustic features to linguistic features.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130635995","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

ROAMM: A customizable and interactive smartwatch platform for patient-generated health data ROAMM:一个可定制的交互式智能手表平台，用于患者生成的健康数据

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474144

Yashaswi Karnati, Ruben Zapata, Matthew J. McConnell, Rohith R. K. Reddy, Varun Reddy Regalla, Aseem Thakkar, J. Alpert, Tonatiuh V Mendoza, Parisa Rashidi, M. Mardini, M. Marsiske, T. Gill, T. Manini, Sanjay Ranka

{"title":"ROAMM: A customizable and interactive smartwatch platform for patient-generated health data","authors":"Yashaswi Karnati, Ruben Zapata, Matthew J. McConnell, Rohith R. K. Reddy, Varun Reddy Regalla, Aseem Thakkar, J. Alpert, Tonatiuh V Mendoza, Parisa Rashidi, M. Mardini, M. Marsiske, T. Gill, T. Manini, Sanjay Ranka","doi":"10.1145/3474124.3474144","DOIUrl":"https://doi.org/10.1145/3474124.3474144","url":null,"abstract":"Older citizens experience a large number of falls and hospitalizations per year throughout the world. These intervening health events (IHEs) such as falls/injuries, illnesses, hospitalizations, are strong precipitants of disability in older adults. They are episodic in nature, extremely difficult to study, and require continuous and long-term monitoring. Wearable technologies with remote capabilities are an ideal solution for capturing information before and after such events. This work presents the ROAMM campaign platform for harnessing sensor and interface capabilities on smart wearables to provide customizable, affordable, and versatile health monitoring that leads to practical remote-based interventions. The platform is flexible, efficient, and scalable for concurrently running multiple studies, each of which consists of patient-reported outcomes, ecological momentary assessments and mental health-related patient responses. Additionally, the system is able to capture and derive ecological, momentary assessments of pain with concurrent mobility tracking that allows life-space mobility ascertainment. The platform supports multiple watches, and we show implementations on both the Samsung Galaxy and Apple series of smartwatches.","PeriodicalId":144611,"journal":{"name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115791610","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

Measure Brand Influencing Index across Social Media Platforms 衡量跨社交媒体平台的品牌影响力指数

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) Pub Date : 2021-08-05 DOI: 10.1145/3474124.3474186

Anu Taneja, Anuja Arora, Arjun Goyal, Rhythm Gupta

引用次数: 0