2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)最新文献

AI Recognition in Skin Pathologies Detection AI识别在皮肤病理检测中的应用

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00017

D. Gavrilov, L. Lazarenko, E. Zakirov

{"title":"AI Recognition in Skin Pathologies Detection","authors":"D. Gavrilov, L. Lazarenko, E. Zakirov","doi":"10.1109/IC-AIAI48757.2019.00017","DOIUrl":"https://doi.org/10.1109/IC-AIAI48757.2019.00017","url":null,"abstract":"Skin cancer is the most common type of cancer [1]. Between different malignant skin pathology melanoma is the most fleeting and mortality. Despite the superficial location of pathologies, only half of patients seek medical assistance on the early stages[2]. Treatment on the early (epidermal) stage provides a significantly higher chance of recovery. To assist a wide range of people in the early skin cancer detection, a software package was developed. The software based on deep convolutional neural networks technology. This complex allows to classify normal and malignant pathology on the uploaded photos. In clinical practice doctors use the ABCDE symptom's complex. This complex characterizes the observation of pigment spot asymmetry, border irregularities, color unevenness, diameter, and evolution [3]. The machine learning approach involves the computer evaluating similar factors when processing multiple images of different skin formations. The paper presents an algorithm for classification of skin lesions into pathology and norm using convolutional neural network architecture Xception with prior images segmentation. The upper classifying layers were frozen and new ones were added to classify skin diseases in the pre-trained neural network Xception. As a result, the classification of benign and malignant skin tumors provided at least 89% accuracy. At the moment, the result of research work is designed in form of application software that allows to download the image of pigmented skin spots from the camera. It is available on https://skincheckup.online","PeriodicalId":374193,"journal":{"name":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126649685","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: 12

Real-Time Algorithms for Head Mounted Gaze Tracker 头戴式凝视跟踪器的实时算法

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00025

A. Starostenko, Filipp Kozin, R. Gorbachev

{"title":"Real-Time Algorithms for Head Mounted Gaze Tracker","authors":"A. Starostenko, Filipp Kozin, R. Gorbachev","doi":"10.1109/IC-AIAI48757.2019.00025","DOIUrl":"https://doi.org/10.1109/IC-AIAI48757.2019.00025","url":null,"abstract":"We introduce a set of real-time algorithms for head mounted gaze tracker consisting of three cameras: two cameras for the eyes and one camera for the scene. The direction of the optical axis of the eye in three-dimensional space is calculated using the reflection of IR LEDs from the cornea. Individual features of the user are taken into account using the short-term calibration procedure. The described algorithms combine high accuracy in determining the point of gaze with high speed. The procedure for determining the point of gaze consists of the following algorithms: estimation of the position of the pupils on the eye cameras frames using of the threshold processing taking into account the histogram of the frame and further approximation of the pupil by an ellipse; estimation of the IR LEDs glare position on the frames of the eye cameras using threshold processing; filtration of the glares by brightness, size, circularity, and of the glares beyond the iris, the size of the iris is estimated by the distance from eye camera to pupil position calculated on the previous frame; indexation of the glares with the template matching; estimation of the optical axis angles of the eye using a spherical model of the cornea with the nonlinear optimization methods; estimation of the point of gaze on the scene camera frame using individual user features found during the calibration process. During calibration, the movement of the ArUco calibration mark and its selection on the scene camera frame are used. To calculate the gaze position on the scene camera, a regression algorithm is used, which implicitly takes into account the individual characteristics of the user.","PeriodicalId":374193,"journal":{"name":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125417081","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

A Multimodal Biometric Authentication (MBA) in Card Payment Systems 信用卡支付系统中的多模态生物识别认证(MBA)

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00011

Nenad Badovinac, Dejan B. Simic

{"title":"A Multimodal Biometric Authentication (MBA) in Card Payment Systems","authors":"Nenad Badovinac, Dejan B. Simic","doi":"10.1109/IC-AIAI48757.2019.00011","DOIUrl":"https://doi.org/10.1109/IC-AIAI48757.2019.00011","url":null,"abstract":"The authentication method that is most commonly used in bank card payment systems is a Personal Identification Number (PIN). This method of authentication has many drawbacks, one of them being that the card-holder has to remember the PIN from a smart card or from many smart cards, and the other drawback is the possibility that the PIN data may be damaged. In order to address these shortcomings, a few models have been developed to create a PIN from biometric data. The idea for the development of the algorithm proposed in this paper came about through the research of similar works such as \"Generation of Reliable PINs from Fingerprints,\" Fengling Han at al., with the aim of making the algorithm more stable and creating the possibility of authentication without the need for the authentication system to store the personal biometric data of the cardholder. The purpose of this paper is to address the process of entering the PIN easily, by tapping your finger on a fingerprint scanner and taking a photo of the card-holder's face. The algorithm presented in this paper encodes multimodal biometric fingerprint data and interpupillary distances of the left and right eyes into a 4-digit or 6-digit PIN, at the same time, as the process of its verification takes place. Thus, the encoded PIN is compared to the PIN placed on the bank card's chip. The advantage of this multimodal biometric authentication (MBA) model is that it does not require comparison of biometric data with data in a bank's authorization center. The results of experimental studies confirm that using the presented MBA model, the cardholder does not need to remember PIN values to make card payment transactions, and therefore the card-holder's user experience is enhanced.","PeriodicalId":374193,"journal":{"name":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131966855","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

Mobile Telemedicine Systems with Artificial Medical Intelligence 具有人工医疗智能的移动远程医疗系统

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00008

S. Garichev, Viktor Klassen, M. Natenzon, Artem Safin, Stanislav Sergeev

引用次数: 0

Preface. The Test of Peter Kapitsa for Artificial Intelligence 前言。彼得·卡皮察对人工智能的测试

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/ic-aiai48757.2019.00005

P. Kapitsa

引用次数: 0

Entry Market Strategy for Weaver Chatbot using the Digital B2B Model 基于数字B2B模式的编织聊天机器人进入市场策略

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00014

Vesna Damnjanovic

引用次数: 3

Objective Contradictions in the Integration of Social Networks, Payments Services and Distributed Ledger Technology 社交网络、支付服务与分布式账本技术融合的客观矛盾

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00009

Mariia Sigova, Valery A. Dolbezhkin, A. Koltsov

{"title":"Objective Contradictions in the Integration of Social Networks, Payments Services and Distributed Ledger Technology","authors":"Mariia Sigova, Valery A. Dolbezhkin, A. Koltsov","doi":"10.1109/IC-AIAI48757.2019.00009","DOIUrl":"https://doi.org/10.1109/IC-AIAI48757.2019.00009","url":null,"abstract":"The article is devoted to the discussion of urgent problems of developing financial services projects of retail. They are based on a combination of the capabilities of existing social networks and distributed ledger technology (DLT), as new subjects of competition in the banking sector of the market. The threat to commercial banks is determined by the risk of loss of income, in particular, commission income from transfer transactions that are already being executed in the social media environment, and which have the potential for growth in turnover. Despite the active development of crypto-innovations (algorithms, platforms, actually cryptocurrencies), the use of distributed ledger technologies by the banks themselves in the financial sector is still very modest. At the same time, social networks with a huge client base show an obvious interest in fintech prospects. These two components of the projects under discussion are contradictory and the success of integration is not obvious. Therefore, it is of interest to researchers in the financial sector. The author consider the main, from their point of view, properties of social networks, payment services and distributed ledger technologies that are significant for the projects under consideration and the issues of banks' competition with them.","PeriodicalId":374193,"journal":{"name":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122612066","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

Recommender Systems - The Foundation of an Intelligent Financial Platform: Prospects of Development 推荐系统——智能金融平台的基础:发展前景

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00029

A. Zatevakhina, N. Dedyukhina, Oleg I. Klioutchnikov

引用次数: 2

Artificial Intelligence Marketing: Chatbots 人工智能营销:聊天机器人

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00010

Uroš Arsenijevic, M. Jović

引用次数: 23

The Role of AI in the Transformation of Mobile Operators 人工智能在移动运营商转型中的作用

2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) Pub Date : 2019-09-01 DOI: 10.1109/IC-AIAI48757.2019.00026

M. Stojanović, Z. Bogdanović, D. Barac, Miloš Radenković, Jelena Mihajlović-Milićević

引用次数: 1