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检索条件"丛书名=Learning and Analytics in Intelligent Systems"

共 229 条记录，以下是41-50 订阅

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Homomorphic Analysis of Privacy-Preserving Psychological Medical Records 1

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作者： Kakulapati, V. Sai Teja, S. Sreenidhi Institute of Science and Technology Telangana Yamnampet Ghatkesar Hyderabad501301 India

ISBN: (数字)9789811592935

ISBN: (纸本)9789811592928;9789811592959

The mental health data and diagnosis notes are available online and accessible to all users, such as investigators, statisticians, data analysts, enduring, and psychiatric consultants. Conversely, electronic health records’ accessibility, which contains hugely insightful patient data, threatens mentally diseased patients’ privacy and secrecy. The objective of this work is to inspect privacy concerns about the psychological feelings of patients. Many investigators developed privacy-preserving data analysis methods. In the proposed approach, drawbacks of the accessible privacy-preserving techniques and analysis of the privacy-preserving data method allow investigators to provide mental illness patients’ privacy permit the right of entry to psychological health records. In this work, we attain maximum privacy, preserving subjective data by applying the homomorphic encryption algorithm and our approach’s performance analysis with other existing techniques. The implementation results demonstrated a substantial influence on numerous applications. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Privacy-preserving techniques

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Using Static and Dynamic Image Maps Built by Graphic Interchange Format (GIF) and Geographic Information System (GIS) for Project Based learning Air Pollution in Schools in Hanoi, Vietnam 1

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作者： Huong, Bui Thi Thanh Faculty of Educational Technology University of Education Vietnam National University Hanoi Viet Nam

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

The article recommended a new application on teaching—a project base learning by graphic interchange format (GIF) based on data of geographic information system (GIS). Teachers and students implemented the project researching the status of air pollution at high schools in Hanoi, one of the urgent problems in recent times in Hanoi, Vietnam. The air pollution at high schools was shown by collecting data of polluted index (AQI) of the United State of Environmental Protection Agency (EPA) from December 5th to 22nd 2019 in some schools in Hanoi. By integrating ArcGIS Desktop and GIF, the static and dynamic image map of the status of air pollution was built for assessing levels of pollution following spatial distribution. The project was not only a new application of ArcGIS Desktop and GIF on learning but also alerting about pollution issues impacting the health of students and teachers in high schools. It is an essential issue for proposing mitigation and adaptive solutions for educational managers. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Geographic information systems

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An Approach to Self-reliant Smart Road Using Piezoelectric Effect and Sensor Nodes 1

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作者： Das, Aindrila Ghosh, Aparajita Sahana, Sudipta Singh, Dharmpal Obaid, Ahmed J. Department of CSE JIS College of Engineering West Bengal Kalyani Nadia India Faculty of Computer Science and Mathematics Kufa University Kufa Iraq

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

Road accidents are a major problem these days. A few of them are due to the human errors while controlling the traffic signals. In this era of advanced technologies, there are many ways to prevent these kinds of blunders. This paper describes an automatic traffic signal which works on piezoelectric power. The traffic lights are working only when the traffic is passing. This way, accidents are not only minimized, but also power conservation can be done. Specially, during midnight or dawn when the traffic is less. This supply of power of the system is self-dependent and is independent of weather or power failure. In an addition, this supply of power can also be used to provide electricity to the street lights and the CCTV Cameras. This way, it can be used to conserve a huge amount of electricity. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Traffic signals

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Computer-Aided Simulation Techniques for Ultra-Wideband Band Pass Filter 1

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作者： Gopalakrishnan, Ramakrishnan Sivakumar, R. Adwan, Omar SRM Easwari Enginnering College Tamil Nadu Chennai India Vellore Institute of Technology Tamil Nadu Vellore India Al-Ahliyya Amman University Amman Jordan

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

In this work, the effect of different computer-aided approaches on the simulation of an Ultra-Wideband (UWB) bandpass filter is analysed. A UWB bandpass filter with Electronic Band Gap (EBG) resonators is designed by utilizing Advanced Design System simulation technique and the results are compared with the various simulation techniques. The UWB bandpass filter characteristics are analyzed using the full-wave Electromagnetic (EM) algorithm on the insertion loss and other characteristics of the UWB bandpass filter are presented. The study shows that the best results are obtained with the ADS simulation technique compared to HFSS and CST studio techniques. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Bandpass filters

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An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical Discharge Machining of Inconel X750 1

引用

作者： Sabareesaan, K.J. Jaya, J. Al Ani, Habeeb Sivakumar, R. Alhadidi, Basim University of Technology and Applied Science Nizwa Oman Hindusthan College of Engineering and Technology Coimbatore India College of Engineering Taibah University Medina Saudi Arabia Vellore Institute of Technology Vellore India Department of Computer Information Systems Al-Balqa’ Applied University As-Salt Jordan

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

Quick interchangeable search has more significance in a large-scale dataset while using for image indexing and retrieval in many applications. Mining of image presents special characteristics due to the superior quality of the data that an image can reflect. The change of gathering to pursuit in overall and flying make, particularly as a consequence of the snappy improvement in assessment of people going around the world brisk and wealthy using air course, the materials that are combined in that industries and its reasonable machining operations makes prominence. Before producing that for the use in business operation sectors and assembling industries, it should be assessed for flaws and necessity for a mechanized response for recognizing the parts in surface of the metals using Computer Aided detection (CAD) system. The implementation of CAD framework has made a mammoth bounce in the powerful operations. It is proposed to find the applicable information for image examination and conclusion from the information base of picture depictions. This work center to actualize a viable division approach utilizing KFCM (Kernel Fuzzy C-Means) calculation. The solution consists of texture processing including feature extraction, segmentation with Content based image retrieval. The proposed solution achieves better performance compare to direct matching scheme in terms of number of segmented objects and extracted & matched feature. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Feature extraction

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Cyclic Exploration-Based Whale Optimization to Linear Discriminant Regression Classification for Face Recognition 1

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作者： Syed Akheel, T. Usha Shree, V. Department of ECE K.V. Subbareddy Institute of Technology A.P Kurnool India Department of Electronics and Communication Engineering Joginipally BR Engineering College T.S Hyderabad India

ISBN: (数字)9789811592935

ISBN: (纸本)9789811592928;9789811592959

Generally, face recognition determines the judgment of whether or not a specific face is "known." Moreover, the face identification denotes the retrieval of data or information about the "owner" of face. Under this concept, a number of researches are there in progression. Still, the research works are not yet up to the mark as human brain recognition. The intelligence in face recognition should be enhanced with high accuracy rate, and this approach tends to present a novel face recognition pattern with a concept of feature extraction and classification. The features are extracted using Active Appearance Model (AAM). Then the classification is done via linear collaborative Discriminant regression classification (LCDRC) model proposed by Xiaochao Qu. In the LCDRC classifier, the most important evaluation is the projection matrix that might get multiplied to the features while classification. The projection matrix must be optimal, so that the recognition accuracy can be greatly attained. In order to select the optimal projection matrix, this paper presents a Cyclic Exploration-based Whale Optimization model (CEWO), which is the modified form of Whale Optimization Algorithm (WOA). The comparison of the proposed face recognition model is done with the performance across the additional conventional techniques with regard to measures such as Accuracy, Precision, False positive rate (FPR), False negative rate (FNR) of the proposed model is proven. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Automated Member Enrollment: Health Insurance Agency 1

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作者： Sai Bhavana, A. Srinivasa Murthy, P.L. Department of CSE IARE Telangana Hyderabad India

ISBN: (数字)9789811592935

ISBN: (纸本)9789811592928;9789811592959

Popular arrangements emerge with anticipated cutting edge innovations during this cloud world. Salesforce advancement, which is an exceptional float these days, has been extraordinarily helpful to small, medium, and huge estimated associations. Being an unmistakable industry, medicinal services like a few unique enterprises must advance to fulfill the requests of the computerized age in every area, especially health care coverage, patient data. To accomplish this assignment, health insurance has been inviting Salesforce for its assistance. This paper examines a plan created utilizing Salesforce to ensure uncomplicated techniques inside the medical coverage segment. Starting with the point of the errand, the paper diagrams the strategies, highlights, and edges of the anticipated framework. To acknowledge less manual work, effective procedure management and to allow direct assistance to every person, a programmed part enlistment plan is exhibited in detail. The paper incorporates the structure plan and a top-level perspective on some eye-catching alternatives for additional upgrades. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Health care

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Role of M-CORD Computing Architecture for Over the Top (OTT) Services and Applications 1

引用

作者： Senthil Kumar, N. Durai Raj Vincent, P.M. Srinivasan, Kathiravan Rajagopal, Sivakumar Angayarkanni, S.A. Alhadidi, Basim School of Information Technology and Engineering Vellore Institute of Technology Tamil Nadu Vellore India R.M.K Engineering College Tamil Nadu Kavaraipettai India Department of Computer Information Systems Al-Balqa’ Applied University As-Salt Jordan

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

With the deep proliferation of progression in technology, the prospect of future telecommunication would change the guidelines to safeguard the standards of the communication system and further that would enable to increase the resource contention for the innovative technologies. The 3GPP (3rd Generation Partnership Project) has spread out some essential rules which should be pursued for the effective usage of the 5G network. As the emergence of new mobile wireless standards into the market foray, there is a deemed necessity for the network providers to provides its consumers a reliable, robust and seamless network connection. When 4G spectrum was introduced into the market, it was almost 5 times faster than 3G and in tandem now, the 5G would bring in almost 4 times speeder than its predecessor 4G. To enhance the transmission speed, the M-CORD has been placed on the SDN and NFV. Meanwhile, the cloud computing technologies has been utilized for mobile wireless networks since they have offered virtualization of RAN and support other seminal properties of the network to boost the transmission rate. The M-CORD would enable the 5G mobile service faster and support community participation for the fulfilment of real 5G technology. The consumer experience on 5G services would rendered seamless and unparalleled to any existing network services and ensured that the minimum connection speed would be at around 15 Gbps with a less latency of 1 ns. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： 5G mobile communication systems

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Leaf Classification Model Using Machine learning 1

引用

作者： Prabhakar, T.S. Veena, M.N. P.E.S College of Engineering Karnataka Mandya India

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

Plants are cornerstone and an indispensable resource of our life. The important part of the plant is a leaf. Identification of leaf plays significant role in agricultural area whereas biologist can work the application of its medical usage. Different characteristics present in the leaves will classify them to different species and their different applications. The modern technology like machine learning has being used to build a model which identifies different types of leaf. This proposed model can be used at schools for classifying the leaf images where students can get to know about different kinds of leaf and their respective names. The proposed model uses customized leaf image data set and multi class SVM classifier as backbone with combination of BOF and SURF feature. The experiment results gives efficiently categorize the leaf. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Support vector machines

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An Overview of Multicast Routing Algorithms in Network on Chip 1

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作者： Velayudham, Sumitra Rajagopal, Sivakumar Kathirvel, Swaminathan Alhadidi, Basim R.M.K. Engineering College Kavaraipettai601206 India School of Electronics Engineering VIT Tamil Nadu Vellore632014 India FPGA Design Jiva Sciences Pvt Ltd. Bangalore560092 India Department of Computer Information Systems Al-Balqa’ Applied University As-Salt Jordan

ISBN: (数字)9783030654078

ISBN: (纸本)9783030654061;9783030654092

In this silicon era, the major issues in CMOS submicron technologies are characterized by extended gate lengths which introduce delays, signal integrity and unsynchronized communications. Network-on-chip (NoC) is used to interconnect IP blocks of complex System-On-Chip (SoCs) which is a better alternative for bus-based architecture to solve the above issues, including scalability and performance limitations. This survey gives an overview of the basics of NoC based systems and presents a detailed survey of multicast routing algorithms to be used on NoCs. In this review, various research proposals based on multicast routing algorithms are chosen to high point the up-to-date approaches and analyses implementation results. The key target of this survey is to comprehensively review inspired multicast routing algorithms on NoC, with various kinds of evaluation parameters reported still now. For better understanding for the reader, this paper summarizes the basics of NoC topology, switching techniques along with the detailed review. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Network-on-chip

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