2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献_第8页

COC-LBP: Complete Orthogonally Combined Local Binary Pattern for Face Recognition COC-LBP:完全正交组合局部二值模式人脸识别

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666506

Shekhar Karanwal

{"title":"COC-LBP: Complete Orthogonally Combined Local Binary Pattern for Face Recognition","authors":"Shekhar Karanwal","doi":"10.1109/UEMCON53757.2021.9666506","DOIUrl":"https://doi.org/10.1109/UEMCON53757.2021.9666506","url":null,"abstract":"Literature reports several local descriptors where discriminativity is enhanced by updating or modifying the previous techniques. This work suggests such novel descriptor (in light variations) by updating the methodology of OC-LBP. In OC-LBP, the difference among orthogonal neighbors and center pixel (of respective group) is thresholded to 1 or 0 according to thresholding function, which leads to 2 OLBP codes by putting binomial weights and adding values. Then both codes are concatenated to form OC-LBP size. The major drawback of OC-LBP is the thresholding of only Sign (S) component. This limits discriminativity of OC-LBP. To build more productive descriptor so called Complete (C) OC-LBP (COC-LBP), the Magnitude (M) details are incorporated with the S component of OC-LBP. The M based OC-LBP is called as MOC-LBP and S based is called as SOC-LBP. In MOC-LBP, the absolute of differences among orthogonal neighbors and center pixel (of respective group) is thresholded to 1 or 0 according to thresholding function. In thresholding function this time mean is utilized for comparison rather than center pixel, which is used in SOC-LBP. The two evolved MOLBP codes are concatenated to form the MOC-LBP size. Finally SOC-LBP and MOC-LBP codes are concatenated to build the COC-LBP size. Moving constantly in all positions builds the SOC-LBP and MOC-LBP images. The region feature concatenation of SOC-LBP and MOC-LBP makes COC-LBP size. The huge feature size is compressed by FLDA and matching is assisted from SVMs. On 2 benchmark datasets YB and EYB, COC-LBP marks its influence by defeating the results of many descriptors.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134275950","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

IoT in Health Care Industry: A Promising Prospect 物联网在医疗行业的应用前景

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666731

Kashav Piya, Quynh Anh Au, Srijal Shrestha, Apoorva Singh, Tauheed Khan Mohd

{"title":"IoT in Health Care Industry: A Promising Prospect","authors":"Kashav Piya, Quynh Anh Au, Srijal Shrestha, Apoorva Singh, Tauheed Khan Mohd","doi":"10.1109/UEMCON53757.2021.9666731","DOIUrl":"https://doi.org/10.1109/UEMCON53757.2021.9666731","url":null,"abstract":"In the twenty-first century, Internet of Things (IoT) has boomed to be impossible to not to relate to. From computers, mobile phones, smart watches or your virtual assistants, everything is connected to the complex web of IoT. With the technological development in this century, healthcare sector has also had its fair share of innovations including innovation related to healthcare, diagnostics, sensors, or even data analytic along with development in Machine Learning and Artificial Intelligence. IoT in healthcare is expected to help improve the quality of life for the people due to the flexibility that it provides. We looked at the significant amount of work done in this sector, and found a trend that COVID-19 has only spurred the development of this field. We explored both the benefits and challenges that IoT in Healthcare might possess and have addressed challenges such as data security, cloud integration problems. Additionally, we looked at the issue of data security in depth and along with the current method of LSCSH being used, we have recommended that Zero-trust architecture being used as well as it caters to the needs of the evolving data management space. From 2013, IoT in healthcare has dominated the space as new devices are released and there has been a boom of devices that are being developed and being researched on. Most of the devices are affordable and some can even be accessed with a small subscription fee. Our results show us that IoT has started to pick up its popularity since 2015 as companies succeeded to win the trust of the market. Even though most of the development for these technologies look to come in the future, the progress made in the recent years look promising.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881709","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

4G LTE-Advanced Network Planning and Simulation Study in an Urban Region Utilizing the 700 MHz Frequency 利用700 MHz频率的城市区域4G lte高级网络规划与仿真研究

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666529

M. I. Nashiruddin, Pinasthika Aulia Fadhila, M. Nugraha

引用次数: 1

Development and Implementation of a Home Automation-Type Real Estate Automation Control System-Oriented and Applied to the Elderly Using IoT 基于物联网的面向老年人的家庭自动化型房地产自动化控制系统的开发与实现

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666517

Deyby Huamanchahua, Luis Soto-Valqui

引用次数: 0

Server-Side Distinction of Incoming Traffic Transmission Medium Using Machine Learning 使用机器学习区分输入流量传输介质的服务器端

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666729

Hosam Alamleh, Kevin Waters, Baker Al Smadi

{"title":"Server-Side Distinction of Incoming Traffic Transmission Medium Using Machine Learning","authors":"Hosam Alamleh, Kevin Waters, Baker Al Smadi","doi":"10.1109/uemcon53757.2021.9666729","DOIUrl":"https://doi.org/10.1109/uemcon53757.2021.9666729","url":null,"abstract":"In the two decades, there have been rapid advancements in the field of communication and information technology. Today, infrastructures include high-speed broadband networks that serve users at a fixed location which is referred to as fixed broadband networks. Another type serves users on the move which is referred to as mobile broadband networks. Fixed broadband networks offer fixed speed and reliable connections. Meanwhile, mobile broadband networks offer mobility, but they are less reliable. Therefore, some of the critical operations such as system update require users to be connected to a fixed broadband network. Different type of networks results in different type of traffic pattern. This paper utilizes a machine learning model at the server-side to help servers differentiate between data transmitted over fixed networks and data transmitted over mobile networks. Supervised training was used to build the model. The proposed system was tested and it showed an accuracy of 92.24 percent. This work is novel and the first of its kind since it is the first to attempt the detection of the nature of the network used for transmission based on the pattern of the arrival of packets.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129449225","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 Voltage Producing Smart Wheelchair Development with Heartbeat Monitoring System 带心跳监测系统的产压智能轮椅研制

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666695

Tanjir Arafat, Md. Anis Uz Zaman, Mohammad Monirujjaman Khan, Rajesh Dey, Ipseeta Nanda, Debasis Mukherjee

引用次数: 0

A Smart and Intelligent Home Automation System 智能家居自动化系统

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666614

Rahat Bin Aziz Tonoy, Mahmudunnabi, Hasan Mohiuddin Zilany, Rashedur M. Rahman

{"title":"A Smart and Intelligent Home Automation System","authors":"Rahat Bin Aziz Tonoy, Mahmudunnabi, Hasan Mohiuddin Zilany, Rashedur M. Rahman","doi":"10.1109/UEMCON53757.2021.9666614","DOIUrl":"https://doi.org/10.1109/UEMCON53757.2021.9666614","url":null,"abstract":"The use of IoT devices is incredibly popular nowadays. IoT technology helps us to innovate more secure and smart devices. For the past few years, the concept of a safe and smart home has gotten a lot of attention. A home automation system is a collection of smart devices and sensors that enable various functions within a house or building, such as light, fan, and plug control, energy monitoring, temperature metering, air conditioning, heating, etc. These devices are also implemented with low power communication as well as better quality at a lower price using the internet or Bluetooth connection. The main goal of this research is to create a clever, safe, and intelligent system using IoT devices that will create an automatic home environment. This paper gives a reliable, secure, and decentralized way for recognizing and verifying IoT gadgets in the proposed home automation framework, where the SVM classifier is utilized to separate the situation with the gadgets into two classifications, e.g., \"ON\" and \"OFF\". The proposed system design is tailored to the needs of the user and offers great reliability.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"9 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917437","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

An FPGA Based Multi-Sensor Atmospheric Testing Device for Confined Spaces 基于FPGA的密闭空间多传感器大气测试装置

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666675

Sofian Abbasi, Soleil Gignac, Hakduran Koc

引用次数: 0

Neural Network Generative Models for Radio Frequency Data 射频数据的神经网络生成模型

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666725

Joseph M. Carmack, Amit Bhatia, Josh Robinson, J. Majewski, Scott Kuzdeba

{"title":"Neural Network Generative Models for Radio Frequency Data","authors":"Joseph M. Carmack, Amit Bhatia, Josh Robinson, J. Majewski, Scott Kuzdeba","doi":"10.1109/uemcon53757.2021.9666725","DOIUrl":"https://doi.org/10.1109/uemcon53757.2021.9666725","url":null,"abstract":"Neural Networks (NN) provide great flexibility in modeling non-linear relationships and have recently proved to be very valuable in Radio Frequency (RF) domain, e.g. NN based Digital Signal Processing (DSP) provide equal or better performance than traditional DSP function blocks. One key requirement of NN models is their need for large amounts of training data to mitigate model overfitting. If this data requirement is satisfied it leads to models that generalize well, but does not hold in cases of limited training data. Generating high fidelity data can help to mitigate data scarcity. In this paper we demonstrate the application of Generative Adversarial Network (GAN) based RF data generation capability for training interference removing NN models. We developed two GAN models that learn to generate RF data with tone jammers. The first is a \"Sequence to Sequence GAN model\", which learns the jammer data distribution by learning to map clean RF signals to impaired RF signals with a jammer present. The second is a physics driven \"Tone GAN\" model, which learns the frequency, phase, and magnitude of the interferer from a limited data distribution and applies this impairment to the clean signal to generate impaired waveforms similar to the GAN training data. Experimental results show that the new data generated from the trained GAN models can be used to augment the original NN model, by fine-tuning them via the GAN generated data, leading to improved performance and generalization.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115616239","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

Analyzing Police Shootings in the US 分析美国警察枪击事件

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666535

Shreehar Joshi, Eman Abdelfattah, Shreekar Tiwari

{"title":"Analyzing Police Shootings in the US","authors":"Shreehar Joshi, Eman Abdelfattah, Shreekar Tiwari","doi":"10.1109/UEMCON53757.2021.9666535","DOIUrl":"https://doi.org/10.1109/UEMCON53757.2021.9666535","url":null,"abstract":"Police killings is one of the most controversial topics of discussion in the United States. Every death that occurs in police shootings is put under the microscope. Almost always, these deaths are categorized as the result of police officers being biased against a certain community or they are acting out of desperation for their own protection, depending on which side of the argument is favored. As will be evident from this work, the answer, and the possible solutions, are not straightforward enough to side with one reason. This research attempts at breaking down the data related to police killings obtained through the Washington Post from the beginning of 2015 to the second quarter of 2020. The motive of this research is to have a better insight into the patterns of police killings. The data have been interpreted with respect to sex, age and race and also the number of police killings in every state. The paper also reveals the weapons that are the most favored used by the suspects involved in the police killings. A graph showing the fleeing status of the suspects and whether they were captured during their killings concludes our findings.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115205395","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