{"title":"Survey on IoT-based Big Data Analytics","authors":"M. Shouaib, Khaled Metwally, Khaled Badran","doi":"10.1109/ICEENG49683.2022.9781957","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781957","url":null,"abstract":"Nowadays, the fast development of the internet and 5G technology encouraged the emergence of many technologies that enhanced the human lifestyle. Moreover, the wide spread of Internet of Things (IoT) gadgets contributed significantly to this technological transformation and provided individuals with pleasure and simplified their lives. Many systems have been developed using sensor-based devices, i.e., IoT devices, e.g., smart healthcare, smart transportation, smart agriculture…etc. Consequently, it became the main source of huge amount of data that are collected frequently, named Big Data. However, such collected data is useless without applying analytics that discover new insights. This data is massive, collected at a rapid speed, and in different formats, constituted the big data main characteristics; volume, velocity, and variety (3Vs). Performing analytics on big data, i.e., Big Data Analytics (BDA) has many challenges that are most probably related to its characteristics. This paper will undertake a survey on Big Data technologies covering various IoT domains. This survey discusses overview of IoT as the main source of big data, big data analytics mechanisms, methodologies, architecture, use cases, challenges and finally the existing frameworks and tools for analytics.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"2 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121009535","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}
Mohamed O. Sadek, Abd Elmeged M. Abd Elmeged, H. Hendy, A. Kamel
{"title":"Enhancement of estimated stochastic errors using Allan Variance and Wavelet De-noising for inertial navigation systems","authors":"Mohamed O. Sadek, Abd Elmeged M. Abd Elmeged, H. Hendy, A. Kamel","doi":"10.1109/ICEENG49683.2022.9782026","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9782026","url":null,"abstract":"Inertial Navigation Systems (INS) have an increasingly wide range of applications covering the navigation of cars, ships, aircraft, spacecraft. The precision of the inertial sensors is the most crucial aspect of INS. These sensors have different errors, that decrease performance of the INS system over time. subsequently, it is vital to get a good estimate of these errors in order to reduce them and enhance the performance of the system. There are two types of inertial sensor errors: deterministic and stochastic errors. The paper aims to identify the stochastic error by using the most common techniques to estimate these random errors. Furthermore, because these noises contain both low-frequency and high-frequency noise (long-term and short-term noise), it is required to reduce both to improve the INS performance. The wavelet denoising technique was employed due to its high effectiveness in removing high-frequency noises. Also, Allan variance (AV) was used to estimate low-frequency noises. so, in this paper, a blend of the AV and wavelet de-noising methods are carried out by denoising the IMU data firstly using wavelet denoising technique then estimate the errors by using AV technique and the results show a great improvement in the inertial sensor’s accuracy.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092684","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}
{"title":"MPTCP-based Security Schema in Fog Computing","authors":"Hossam Elmansy, Khaled M. Metwally, K. Badran","doi":"10.1109/ICEENG49683.2022.9781992","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781992","url":null,"abstract":"Recently, Cloud Computing became one of today’s great innovations for provisioning Information Technology (IT) resources. Moreover, a new model has been introduced named Fog Computing, which addresses Cloud Computing paradigm issues regarding time delay and high cost. However, security challenges are still a big concern about the vulnerabilities to both Cloud and Fog Computing systems. Man- in- the- Middle (MITM) is considered one of the most destructive attacks in a Fog Computing context. Moreover, it’s very complex to detect MiTM attacks as it is performed passively at the Software-Defined Networking (SDN) level, also the Fog Computing paradigm is ideally suitable for MITM attacks. In this paper, a MITM mitigation scheme will be proposed consisting of an SDN network (Fog Leaders) which controls a layer of Fog Nodes. Furthermore, Multi-Path TCP (MPTCP) has been used between all edge devices and Fog Nodes to improve resource utilization and security. The proposed solution performance evaluation has been carried out in a simulation environment using Mininet, Ryu SDN controller and Multipath TCP (MPTCP) Linux kernel. The experimental results showed that the proposed solution improves security, network resiliency and resource utilization without any significant overheads compared to the traditional TCP implementation.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129875045","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}
A. H. Hassaballa, A. Kamel, I. Arafa, Y. Elhalwagy
{"title":"Dual Attitude-GNSS/INS Unscented Kalman Filter for Low Cost Integrated Navigation Systems","authors":"A. H. Hassaballa, A. Kamel, I. Arafa, Y. Elhalwagy","doi":"10.1109/ICEENG49683.2022.9781930","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781930","url":null,"abstract":"One of the most difficult issues in highdynamic settings for moving vehicles is estimating the navigation parameters accurately. This paper proposes a dual unscented Kalman filter (DUKF) based on inertial and orientation estimates. DUKF is made up of two distinct filters: one for orientation estimation with an adaptive external acceleration compensation model and the other for velocity and location estimation. When compared to previous model-based Kalman filters, the proposed DUKF is unique in that the implementation of the covariance error models is integrated into the propagation model equations without state-augmentation. This results in a reduction in the matrix-state dimension, which reduces computing time when compared to the analogous state-of-the-art Kalman filter architectures. The suggested technique is tested experimentally in a variety of environmental dynamics circumstances utilizing a low-cost inertial sensor. When compared to the standard Kalman filter with state augmentation, the results analysis indicates superior navigation performance and computation effectiveness.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132698869","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}
Ahmed M. El-Dalatony, Tamer Attia, H. Ragheb, A. M. Sharaf
{"title":"Development, Estimation and Control of a Bio-Inspired Quadruped Robotic Leg","authors":"Ahmed M. El-Dalatony, Tamer Attia, H. Ragheb, A. M. Sharaf","doi":"10.1109/ICEENG49683.2022.9782054","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9782054","url":null,"abstract":"This paper presents the design and control of a bioinspired robotic leg. The design is based on the basic locomotion requirements of mobile quadruped robots. We present the design and development of a bio-inspired quadruped robotic leg with integrated actuation and sensory systems. We first introduce the mechanical design concept of the actuator and leg components. Then, the kinematic model of a single three Degree of Freedom (DOF) leg is presented, establishes the description equation of the foot trajectory, and presents the development and control of a single lightweight low inertia leg. The proposed controller is a cascaded design of position controller, velocity controller, and current controller in order to track the desired path with different virtually compliant effects. The joint actuators were assembled into a leg prototype which is attached to a stand with a vertical linear sliding guide for experimental validation and testing. Results showed that the leg is able to achieve quarter gait trajectory tracking, vertical jumping and can hold weight up to 6.54 kg.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124025630","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}
{"title":"Automotive Software Self Reprogramming OTA","authors":"Ahmed Nasr, M. Ghoneima, Bassem A. Abdullah","doi":"10.1109/ICEENG49683.2022.9781935","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781935","url":null,"abstract":"The automotive industry will have smarter and more advanced technologies than before. Electronic Control Units (ECUs) in vehicles will be more complex due to more interfaces, connections, displays, user demand features, and suppliers. This means there is a great need to supply system updates to improve functionality and fix software bugs.Over-the-Air (OTA) software updates will be highly important for future connected vehicles. The OTA update will enable upgrading the vehicle functionalities or bug fixations in the embedded software installed on its remotely.This paper presents the OTA system architecture that allows vehicles to receive new software versions of their ECUs from the cloud server through GSM and Wi-Fi directly. This architecture depends on the telematics control unit inserted in the vehicle network. It is implemented to prove the concept, tested, and evaluated through this paper.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126850628","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}
{"title":"Comparative Synthesis of Linear and Optimal Controllers for a Quadcopter Unmanned Aerial Vehicles","authors":"M. Mamdouh, M. Ibrahim, A. Sarhan, M. Ashry","doi":"10.1109/ICEENG49683.2022.9782036","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9782036","url":null,"abstract":"Recently, unmanned aerial vehicle (e.g. quadcopter) has been used in many applications, e.g., search-and-rescue missions, because of its capabilities, e.g. vertical takeoff and landing. To achieve these missions, we need to design a suitable control system to stabilize and control quadcopter to track a desired flight trajectory. In this paper, we proposed a comparative synthesis between a classical and optimal controllers implemented on a quadcopter model. Moreover, this paper discusses a method of tuning gains of the classical controller using optimal control approach. Implementing these linear controllers requires to linearize the nonlinear quadcopter model around a steady state flight condition. The simulation results compare the performance of each controller under different model uncertainties and external disturbance. The results of this study indicate that tunning the classical controller gains using an optimal control approach responds effectively and provide more robustness compared to classical and optimal controllers separately in different flight conditions.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129232873","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}
{"title":"How to Manage the Emergent Imaging Requests and Urgent Situations in Satellite Constellations","authors":"Amr Qamar, K. Badran, Gamal ElNshar","doi":"10.1109/ICEENG49683.2022.9781886","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781886","url":null,"abstract":"Nowadays, the demand for emergent satellite images became very high. The information collected from these images supports making fast decisions in case of disasters or military operations. A specific mission planning and scheduling system is customized to deal with such requests to fulfill this demand. The proposed planning and scheduling system is capable of managing the emergent requests as well as the urgent situations (like temporary or permanent out of charge for one or more satellites in the constellation, or canceling one or more requests during creating the plan). The emergent requests can be inserted into the system during its running without stopping and restarting it again. The system creates an integrated output plan including as much as possible of the emergent requests in a reasonable time. The output plan contains the selected imaging opportunity and downloading opportunity for each strip taking into consideration all the operational and technical constraints for the satellites, the ground stations and the requests. The used algorithm for solving this problem is a combination of local search algorithms with some modifications to get better results. The system is using three planning variables for each strip, which are the imaging start time, the downloading start time and a Boolean variable for determining the selection of an opportunity. The Boolean selection variable has a probability of change three times higher than the other two variables.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176440","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}
{"title":"Response-time enhancement of a hybrid controller of unmanned aerial vehicles using parametrization","authors":"Eslamian Mostafa, A. Elliethy, H. A. Aly","doi":"10.1109/ICEENG49683.2022.9782025","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9782025","url":null,"abstract":"Unmanned aerial vehicles UAVs perform missions that require precise, fast, and robust maneuvers regardless of the external environmental disturbances. Simple controllers are not adequate enough to meet these constraints. Thus more accurate and complex controllers can be used, however, these complex controllers constitute high computational complexity calculations which deplete the UAV’s battery more quickly and affect the duration of the conducted missions. In this paper, we propose to apply a parameterization technique to efficiently simplify the calculations of a complex hybrid controller, while preserving the accuracy. By parameterizing the control trajectory of the UAV, we can represent the control signals using fewer number of parameters, an idea that is similar to signal down sampling. We evaluated the proposed parameterization technique on four different reference trajectories with three different solvers. The results show that the parameterization introduces a speed-up of 40% with no practical effect on the controller performance and accuracy.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"59 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818279","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}
M. S. El Sabbagh, Ali Maher, Mohamed A. Hassan, A. Kamel
{"title":"Nonlinear Autoregressive Neural Network Integrated Approach for Tackling GPS Outages Intervals","authors":"M. S. El Sabbagh, Ali Maher, Mohamed A. Hassan, A. Kamel","doi":"10.1109/ICEENG49683.2022.9781983","DOIUrl":"https://doi.org/10.1109/ICEENG49683.2022.9781983","url":null,"abstract":"Nowadays inertial navigation system and global positioning system (INS/GPS) integrated systems are widely used in many moving vehicles. The Extended Kalman Filter (EKF) is utilized extensively in the integration task to obtain accurate and continuous estimated position. However, the efficiency of EKF to estimate position degrades in case of GPS signal outages due to signal blockage or jamming. In this work a Nonlinear Autoregressive Neural Network with Exogenous input (NARX) based technique is proposed to estimate the position during GPS outages Two simulation environments are created for both ground and aerial vehicles alongside three inertial sensors with different accuracy grades to validate the proposed algorithm. The conducted experiments reveal the superiority of the proposed method in estimating accurate and continuous position at different GPS outage’s intervals.","PeriodicalId":298517,"journal":{"name":"2022 13th International Conference on Electrical Engineering (ICEENG)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128876731","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}