2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)最新文献_第4页

New Digital Testing of Analogue Circuits Based on Frequency Band Classification 基于频带分类的新型模拟电路数字测试

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102588

Bassam A. Abo-elftooh, M. El-Mahlawy, H. Ragai

引用次数: 0

Performance Comparison between SerDes and Time-Based Serial Links 串行链路与基于时间的串行链路性能比较

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102626

M. Rashdan, F. El-Sayed, M. Salman

引用次数: 0

Compact Dual Band LowPass-BandPass Filter 紧凑型双波段低通带通滤波器

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102490

H. Issa, Heba El-Halabi, D. Awde, Lara Ezzeddine, Arij El-Hawary, Batoul El-Ibrahim

引用次数: 1

HW/SW Codesign and Implementation of an IMU Navigation Filter on Zynq SoC with Linux 基于Linux的Zynq SoC上IMU导航滤波器软硬件协同设计与实现

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102597

R. Yeniceri, Yakup Hüner

引用次数: 6

Smart Nursery for Smart Cities: Infant Sound Classification Based on Novel Features and Support Vector Classifier 智慧城市的智慧托儿所:基于新特征和支持向量分类器的婴儿声音分类

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102574

Ayyah Abdulhafith Mahmoud, Intessar Nasser A Alawadh, Ghazanfar Latif, J. Alghazo

{"title":"Smart Nursery for Smart Cities: Infant Sound Classification Based on Novel Features and Support Vector Classifier","authors":"Ayyah Abdulhafith Mahmoud, Intessar Nasser A Alawadh, Ghazanfar Latif, J. Alghazo","doi":"10.1109/ICEEE49618.2020.9102574","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102574","url":null,"abstract":"In the age of smart cities, it is envisioned that most processes within the smart city context will be smart and automated. This includes smart houses, smart kitchens, etc. within this context, a need will arise for Smart nursery rooms. Within the smart nursery concept, the infant needs will need to be fulfilled automatically, in addition, to infant monitoring and safety. The motivation of this work is to design a smart cradle system for a smart nursery room that automates the functions of the cradle based on the infant's sounds. Therefore, in this paper, we propose an infant sound classification technique based on the Support Vector Classifier (SVC) with Radial Basis Function (RBF) kernel using 18 extracted features of infant sounds. The proposed technique has been compared with two SVC kernel function, linear, and poly, as well as other classification algorithms including Decision Tree, Random Forest, and Gaussian Naive Bayes. As a result of comparing the confusion matrix, recall, F1 Score, accuracies, and precision values of various applied machine learning algorithms over-extracted features. SVC using RBF kernel function was found to be the most efficient model with an average accuracy of more than 96%. The proposed system outperforms all other systems proposed in the previous literature.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860206","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: 7

Energy and QoS Aware Analysis and Classification of Routing Protocols for IoT and WSN 物联网和WSN路由协议的能量和QoS感知分析与分类

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102614

Ferhat Arat, Sercan Demirci

{"title":"Energy and QoS Aware Analysis and Classification of Routing Protocols for IoT and WSN","authors":"Ferhat Arat, Sercan Demirci","doi":"10.1109/ICEEE49618.2020.9102614","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102614","url":null,"abstract":"Internet of Things (IoT) is a network that includes smart objects. IoT is generated concept which helps to connect our daily objects, making our devices smarter, thinking without any human hand. There are a lot of advantages of this concept in our life. IoT has become a significant subject to several researchers by its applications and challenges. Wireless Sensor Networks (WSNs) can be considered that element of IoT frame. WSNs structure includes specific sensor group that working independent, publishing and sharing detected data. IoT and WSN are using in various areas such as military, daily use, transportation. Although numerous advantages and using fields, these networks have some challenges. Routing and transmitting of data is one of these challenges. Maximize network lifetime, packet delivery ratio, minimize delay, link failures and optimize reliability during routing is one of the major objectives. Quality of Service (QoS) is also includes these objectives. There are various works for routing and path selection. In this paper, we reviewed routing algorithms and models in terms of success criterions such as minimize delay, energy consumption and maximize data delivery ratio. We divided IoT and IoT based WSN algorithms into two cagetories to classify: energy aware and delay, throughput, data delivery, packet loss aware. We presented a table which includes these criterions.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134632996","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: 6

Reliability Assessment of Protection System for DC Ring Microgrid Using Fault Tree Method 基于故障树法的直流环形微电网保护系统可靠性评估

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102582

Jehad Hedel, Ahmad Abuelrub

引用次数: 3

Synthesis and Characterization of Fe2O3 Doped Graphene by Co-precipitation Method 共沉淀法合成Fe2O3掺杂石墨烯及其表征

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102551

P. Puspitasari, C. Yazirin

{"title":"Synthesis and Characterization of Fe2O3 Doped Graphene by Co-precipitation Method","authors":"P. Puspitasari, C. Yazirin","doi":"10.1109/ICEEE49618.2020.9102551","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102551","url":null,"abstract":"One way to enhance the physical properties of Fe<inf>2</inf>O<inf>3</inf> is by graphene doping. In this research, the synthesis of Fe<inf>2</inf>O<inf>3</inf> doped graphene involved various treatments, i.e. non-sintering, sintering at 600°C for 1 hour, and sintering at 700°C for 1 hour. The phase identification results suggested that single-phase Fe<inf>2</inf>O<inf>3</inf> doped graphene could be obtained without sintering and the smallest diameter generated was 70.19 nm. The morphology characterization showed that all the three materials had a particle size of less than 100 nm, but the non-sintered material was the most favorable one due to its homogeneous nanospheres. The FTIR spectrum shows the presence of O-H, C-H, CO<inf>2</inf>, C-O, C-N, and CH<inf>2</inf> groups. The non-sintered Fe<inf>2</inf>O<inf>3</inf> doped graphene had the highest peak at 3307.92 cm−1, and the O-H group appeared. The Fe<inf>2</inf>O<inf>3</inf> doped graphene sintered at 600°C for 1 hour had the highest peak at 3410.33 cm−1, and the O-H group appeared. The Fe<inf>2</inf>O<inf>3</inf> doped graphene sintered at 700°C for 1 hour had the highest peak at 3410.33 cm−1, and the O-H group appeared. The C=C peak was around 1500–1600 cm−1, while the C-O-C peak was around 1230–1320 cm−1. Taken together, the synthesis of Fe<inf>2</inf>O<inf>3</inf> doped graphene using a simple co-precipitation method could produce a single-phase material without sintering.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124208170","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-Time Machine-Learning Based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture 基于实时机器学习的精准农业变率喷洒作物/杂草检测与分类

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102505

Mansoor Alam, M. S. Alam, Muhammad Roman, M. Tufail, Muhammad Umer Khan, Muhammad Tahir Khan

{"title":"Real-Time Machine-Learning Based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture","authors":"Mansoor Alam, M. S. Alam, Muhammad Roman, M. Tufail, Muhammad Umer Khan, Muhammad Tahir Khan","doi":"10.1109/ICEEE49618.2020.9102505","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102505","url":null,"abstract":"Traditional agrochemical spraying techniques often result in over or under-dosing. Over-dosing of spray chemicals is costly and pose a serious threat to the environment, whereas, under-dosing results in inefficient crop protection and thereby low crop yields. Therefore, in order to increase yields per acre and to protect crops from diseases, the exact amount of agrochemicals should be sprayed according to the field/crop requirements. This paper presents a real-time computer vision-based crop/weed detection system for variable-rate agrochemical spraying. Weed/crop detection and classification were performed through the Random Forest classifier. The classification model was first trained offline with our own created dataset and then deployed in the field for testing. Agrochemical spraying was done through application equipment consisting of a PWM-based fluid flow control system capable of spraying the desired amounts of agrochemical directed by the vision-based feedback system. The results obtained from several field tests demonstrate the effectiveness of the proposed vision-based agrochemical spraying framework in real-time.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736518","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: 40

Capacity Analysis of Non-Orthogonal Multiple Access Systems over N-Nakagami Fading Channels for 5G and Beyond 5G及以后N-Nakagami衰落信道非正交多址系统容量分析

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102570

Amer M. Magableh, Taimour Aldalagamouni, S. Muhaidat, Osamah. S. Badarneh

引用次数: 1