2019 1st International Conference on Advances in Information Technology (ICAIT)最新文献

筛选
英文 中文
Traffic Analysis of WhatsApp Calls WhatsApp通话的流量分析
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987315
C. Shubha, S. Sushma, K. Asha
{"title":"Traffic Analysis of WhatsApp Calls","authors":"C. Shubha, S. Sushma, K. Asha","doi":"10.1109/ICAIT47043.2019.8987315","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987315","url":null,"abstract":"There has been an increase in usage of applications for the ordinance of instant messages and voice and video calls known as Voice over Internet Protocol (VoIP). WhatsApp being one of such applications which uses messaging protocols and Voice over Internet Protocol (VoIP) which has, over the years, became a very popular functionality. The advent of VoIP necessitates the analysis of the forensics of WhatsApp. The possibility of differentiation of the multiple calls in a given traffic using blind traffic detection is carried out in this project.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727486","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
Bone Cancer Detection Using K-Means Segmentation and Knn Classification 基于k -均值分割和Knn分类的骨癌检测
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987328
Ranjitha M M, Taranath N L, A. N, C. K. Subbaraya
{"title":"Bone Cancer Detection Using K-Means Segmentation and Knn Classification","authors":"Ranjitha M M, Taranath N L, A. N, C. K. Subbaraya","doi":"10.1109/ICAIT47043.2019.8987328","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987328","url":null,"abstract":"From couple of years image processing techniques are extensively utilized for different therapeutic image modalities in which to distinguish infection as in brief period time factor assumes an extremely critical job. The most ideal approach to depict bone malignancy in all stages utilizing image processing. Identifying cancer in the bone is a testing issue because of its complex structure. Here, past analysts have given far reaching survey of bone malignant growth recognition using image processing strategies. A decent research work has been made to the CAD framework behind distinguishing proof of bone malignant growth by images. In this paper we proposed a bone malignant growth identification utilizing k-means segmentation and KNN classifier to recognize the bone disease utilizing image processing strategy for ultra sound images of bones. The proposed outcomes are promising with more exactness up to 98.14% accuracy.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031369","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: 8
Age Estimation of Person Based on Face Features 基于人脸特征的人年龄估计
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987323
S. Hatture, Ashwini Gouripur
{"title":"Age Estimation of Person Based on Face Features","authors":"S. Hatture, Ashwini Gouripur","doi":"10.1109/ICAIT47043.2019.8987323","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987323","url":null,"abstract":"In the era of information technology the social media and other sources of evidence are usually used to spot suspects and victims of crimes by police. Investigators generally use individual characteristics like gender, age, weight, height, etc. from unknown speculate to testimony in their perception. For example in child abuse investigations victim age is essential in the detection of the offenses' classification. Machine learning methods are used in the analysis of digital photographs to identify soft biometric. Investigator benefits from this to improve their cases. This paper presents an efficient intelligent system for age estimation of a person's by employing the facial features. The facial information employing the deep learning technique that is transfer learning based on Convolutional Neural Networks will estimate the age of the person. The method contains pre-trained model, convolutional base, and classifier. The proposed method is efficient and outer performs the state-of-the-art techniques.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123649784","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
Online Product Review Classification 在线产品评论分类
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987268
Fattesingh Rane, Gaurish Kauthankar, Akhil Naik, Sulaxan Gawas
{"title":"Online Product Review Classification","authors":"Fattesingh Rane, Gaurish Kauthankar, Akhil Naik, Sulaxan Gawas","doi":"10.1109/ICAIT47043.2019.8987268","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987268","url":null,"abstract":"Reviews are the most important part that people look upon while purchasing a product online. The problem in existing system is sometimes the user review and the rating mismatch each other. This happens when the user forgets to update either review or rating when the user updates the review or while providing a new rating for the product, the user might randomly put some wrong rating or undesired rating.The main aim of this project is to tell the user whether a product is good or bad based on the reviews provided by other users and to provide a better rating for the product by analyzing sentiment. To classify the reviews into good or bad, the system uses two machine learning algorithms KNN and Naïve Bayes classification algorithms and to stem the review porter stemmer algorithm is used and to compute new rating system uses rule-based extraction method. K Nearest Neighbor will select the nearest neighbor class to the test review and classify the review into two classes that is either class = good or class = bad, whereas the Naïve Bayes algorithm uses a probabilistic approach to classify the product into good or bad by selecting the highest probability class label.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114199999","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
Agro-Guardian: A Framework For Smart Agriculture 农业守护者:智慧农业框架
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987288
S. Hatture, Susen P. Naik
{"title":"Agro-Guardian: A Framework For Smart Agriculture","authors":"S. Hatture, Susen P. Naik","doi":"10.1109/ICAIT47043.2019.8987288","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987288","url":null,"abstract":"Agriculture is the backbone of the country. About 70% percentage of India population belongs to agriculture family. Due to the digital India programme, agricultural applications have direct impact on the agricultural sectors. The way people go for buying the agricultural products is tedious. Often buyers or customers have to travel distant places to buy agricultural products and sometimes even the right quality is not ensured. Besides, farming is the main or primary occupation in India. Farmers are usually deceiveed by the middleman in today’s market which leads to scarcity of grains. Fruits markets are subject of opportunity and it is important to the suppliers to identify the quality of fruits based on the ripeness level of fruits before selling out in market, in-order to get higher level of profit. The main objective of this work is to help farmers. An android application in native or regional language of the farmer to help the jobless farmers to find agriculture based jobs suitable to their skill set and receive investments from various investors across the country. Further to find investment for the needy farmers and create suitable agricultural employment for jobless farmers so that there is an increase in the progress in the field of agriculture. The prposed work of an android application is also facilitate the farmers with advanced equipments for performing various agricultural tasks, obtain the land on lease and it helps buying and selling agricultural products using a computerized approach, provide the scheme available to farmer and to determine various stages of ripeness of fruit. The application is simple and easy to use by the farmers and accumulate several agri based information at single place in multilingual applications.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127734316","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
A Survey on Chat-Bot system for Agriculture Domain 农业领域聊天机器人系统研究综述
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987429
P. Niranjan, V. Rajpurohit, Rasika Malgi
{"title":"A Survey on Chat-Bot system for Agriculture Domain","authors":"P. Niranjan, V. Rajpurohit, Rasika Malgi","doi":"10.1109/ICAIT47043.2019.8987429","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987429","url":null,"abstract":"Chat-Bot system is a part of natural language processing, where it requires system to be trained as per the human language, so that it can satisfy the needs of the user. Agriculture domain is leading source of countries growth. At present farmers are not much aware about recent technologies and practices being used in agriculture field. Extraction of meaningful answer by machine learning techniques is a problem, that has been studied by many machine learning experts as well as advanced machine learning techniques are introduced. These techniques are applied to extract the accurate answer. We can call this as an Agriculture Question Answering System, where the farmer can query the system and the system understands the query and responds to a given query. In this paper, we have reviewed extracting a precise answer for a given question by mainly focusing on machine learning techniques. We have made suggestions and provided the comparative analysis.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131633845","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: 11
Noise Cancellation and Noise Reduction Techniques: A Review 噪声消除与降噪技术综述
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987262
Shraddha C, Chayadevi M L, M. Anusuya
{"title":"Noise Cancellation and Noise Reduction Techniques: A Review","authors":"Shraddha C, Chayadevi M L, M. Anusuya","doi":"10.1109/ICAIT47043.2019.8987262","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987262","url":null,"abstract":"Noise is unwanted signal judged to be unpleasant, loud, or disruptive to hear which decreases speech signal quality. A brief survey on various Noise Cancellation and Noise Reduction Techniques of speech signal for different SNR’s in a noisy environment is reviewed in this paper.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759642","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
Voice Assistant and Facial Analysis based approach to Screen Test Clinical Depression 基于语音助手和面部分析的临床抑郁症筛查方法
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987301
Pragna Mallikarjuna Swamy, Prithviraj Janardhan Kurapothula, Sachin Venkatesha Murthy, S. Harini, Rachana Ravikumar, Karthik Kashyap
{"title":"Voice Assistant and Facial Analysis based approach to Screen Test Clinical Depression","authors":"Pragna Mallikarjuna Swamy, Prithviraj Janardhan Kurapothula, Sachin Venkatesha Murthy, S. Harini, Rachana Ravikumar, Karthik Kashyap","doi":"10.1109/ICAIT47043.2019.8987301","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987301","url":null,"abstract":"Depression is a medical condition that is characterized by persistent sadness, loss of interest in doing regular activities, feelings of guilt or low self-worth. It causes disturbed sleep, loss of appetite, poor concentration and an inability to work and interact. Depression is a major issue that needs to be looked into, which can otherwise lead to extreme steps such as suicide. Developing tools to aid automatic depression assessment is expected to enhance the overall health outcomes. This platform helps in detecting signs of depression, without requiring the physical presence of mental health professional. The goal of this project is to screen depression using image processing and voice assistant, which will lead to an effective system that assists psychiatrists. In this work, we automate the task of screening depression by making use of two primary aspects, namely physical signs of depression and linguistic features. The Screening process is carried out using the Patient Health Questionnaire-9 (PHQ-9) screening test. The user is categorized into one of the 5 categories based on the score: none, mild, moderate, moderately severe and Severe. Finally, based on categorization we propose a Treatment Action.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397634","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
Computational linguistic prosody rule-based unified technique for automatic metadata generation for Hindi poetry 基于计算语言韵律规则的印地语诗歌元数据自动生成统一技术
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987239
Milind Kumar Audichya, Jatinderkumar R. Saini
{"title":"Computational linguistic prosody rule-based unified technique for automatic metadata generation for Hindi poetry","authors":"Milind Kumar Audichya, Jatinderkumar R. Saini","doi":"10.1109/ICAIT47043.2019.8987239","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987239","url":null,"abstract":"Metadata generation for the poems based on the unified rules is very complex from the viewpoint of computational linguistics. This is more tedious when it comes to Hindi poems. Prosody or ‘Chhand’ as it is called in the Hindi language consists of several sets of rules and which are used while construction of a Hindi poem. Currently, no such metadata generator or technique is in existence which can generate the metadata of Hindi poetry based on the prosody or any other Hindi grammatical rule. In this research paper, we are trying to wrap up all the difficulties with respect to the metadata generator based on ‘Chhands’, Types of ‘Chhands’, Parts of ‘Chhands’, Classification of ‘Chhands’. Along with this paper majorly focuses on the unified-rule based technique for the generation of metadata based on the different set of rules of prosody. On 3026 different UTF-8 based inputs of poems, part of poems, stories, etc., We were able to achieve 98.09% accuracy with the implementation of this unified-rule based technique of metadata generation, rest 1.91% failure was mostly due to input data related issue.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960768","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: 10
Shadow based Time Prediction in Video Sequences using Hough Transform 基于阴影的Hough变换视频序列时间预测
2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987363
R. Sathyabhama, Vivekānanda, M. R. Sunitha, T. Kavya
{"title":"Shadow based Time Prediction in Video Sequences using Hough Transform","authors":"R. Sathyabhama, Vivekānanda, M. R. Sunitha, T. Kavya","doi":"10.1109/ICAIT47043.2019.8987363","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987363","url":null,"abstract":"Identifying informative objects under the presence of shadows is a difficult step in computer vision applications. While capturing images and videos cameras plays a vital role in gathering information in the absence of paid persons. But in low light conditions camera can result in poor quality videos. And also low light can lead to camera shake and blurred images and videos. Forensic Identification Services (FIS) face difficulty in case of emergency conditions for finding the time of the incidents.In this paper, we give more importance to shadow part of an image/video. Initially detects the part of the image that gives object and the related shadow by using background subtraction method. To detect the shadow part YCbCr color spaces are employed. Morphological operations are used to extract the detected shadow regions and remove the unwanted tine objects. Using Hough Transformation line drawn over the object and the associated shadow to extract the length, angle between the object and the shadow. Time estimation is done based on the features like length and angle.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181724","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信