2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)最新文献_第3页

Neural Machine Based Mobile Applications Code Translation 基于神经机器的移动应用程序代码翻译

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257935

M. H. Hassan, Omar A. Mahmoud, O. A. Mohammed, Ammar Y. Baraka, Amira T. Mahmoud, A. Yousef

{"title":"Neural Machine Based Mobile Applications Code Translation","authors":"M. H. Hassan, Omar A. Mahmoud, O. A. Mohammed, Ammar Y. Baraka, Amira T. Mahmoud, A. Yousef","doi":"10.1109/NILES50944.2020.9257935","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257935","url":null,"abstract":"Although many cross platform mobile development software used a trans-compiler-based approach, it was very difficult to generalize it to work in both directions. For example, to convert between Java for Android Development and Swift for iOS development and vice versa. This is due to the need of writing a specific parser for each source language, and a specific code generator for each destination language. Neural network-based models are used successfully to translate between natural languages, including English, French, German any many others by providing enough datasets and without the need of adding language specific code for understanding and generation. In this paper, a source code converter based on the Neural Machine Translation Transformer Model that can translate from Java to Swift and vice versa is introduced. A synthesized dataset is used to train the model, the pipeline used for the translation as well as the code synthesis procedure throughout the work are illustrated. Initial results are promising and give motivation to further enhance the proposed tool.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"4565 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123287386","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: 3

Experimental Lane Keeping Assist for an Autonomous Vehicle Based on Optimal PID Controller 基于最优PID控制器的自动驾驶汽车车道保持辅助实验

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257969

M. K. Diab, Ammar N. Abbas, H. Ammar, R. Shalaby

引用次数: 5

Real-Time Lane Instance Segmentation Using SegNet and Image Processing 基于分段网和图像处理的实时车道实例分割

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257977

Gad Gad, Ahmed Mahmoud Annaby, N. Negied, M. Darweesh

引用次数: 8

IPXACT-Based RTL Generation Tool 基于ipxact的RTL生成工具

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257966

Ahmad El-Shiekh, Ahmad El-Alfy, A. Ammar, Mohamed Gamal, M. Dessouky, K. Salah, H. Mostafa

引用次数: 0

Blockchain-based Data Management in Vehicular Networks 基于区块链的车辆网络数据管理

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257890

Gina El-Salakawy, Mervat Abu El-Kheir

{"title":"Blockchain-based Data Management in Vehicular Networks","authors":"Gina El-Salakawy, Mervat Abu El-Kheir","doi":"10.1109/NILES50944.2020.9257890","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257890","url":null,"abstract":"Vehicular ad hoc networks (VANETs) are projected to be an integral component in intelligent transportation systems, poised to support road safety services via the Vehicle to Vehicle (V2V) and Vehicle to Roadside (V2R) units communication. With the evolution of technology and the growth in the number of smart vehicles, traditional VANETs face technical challenges in deployment and management due to less scalability and poor connectivity. Current smart vehicles are identified, authenticated, and connected through central cloud servers. This model will have limited scalability as the technology becomes pervasive, and the cloud servers will remain a single point of failure that can disrupt the entire network. Therefore, we need a secure distributed system to reduce the network traffic rate. In this paper, we propose a blockchain-based distributed message exchange system that will handle the exchange of safety and periodic beacon messages among vehicles. Since blockchain is characterized as being a decentralized and non-tampering system. We considered saving the safety messages only in the blockchain as they occur less than the periodic messages and they are more important. We propose to implement the blockchain per country to reduce the number of nodes/vehicles joining the network. We also reduce the block body size by using the Kademlia Distributed Hash Table (DHT) to broadcast the beacon messages. Experimental evaluation shows that the system can protect a V2V network against different attack types, such as sybil attack and alteration attack with TPR more than 95%. The experiments also show that the block body size is reduced by a factor of 1:5, which helps in broadcasting the data faster.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132498425","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

Experimental Identification of Road-Vehicle Dynamics Using Autoregression 基于自回归的道路-车辆动力学实验辨识

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257908

Karim Hafiz, M. Tawfik, H. Ibrahim

引用次数: 0

SoC loosely Coupled Navigation Algorithm Evaluation via 6-DOF Flight Simulation Model of Guided Bomb 基于制导炸弹六自由度飞行仿真模型的SoC松耦合导航算法评估

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257889

A. Hamdy, A. Ouda, A. Kamel, Y. Elhalwagy

引用次数: 0

Generalized Formula for Generating N-Scroll Chaotic Attractors 生成n涡旋混沌吸引子的广义公式

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257932

Ahmed N. Atiya, Hossam S. Hassan, Khaled E. Ibrahim, Omar M. ElGhandour, M. Tolba

引用次数: 0

Stochastic Modeling of Content-Dependent Scheduling in D2D Cache-Enabled Networks D2D缓存网络中内容相关调度的随机建模

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257951

Abdulmoneam A. Hassan, Laila H. Afify, A. El-Sherif, T. Elbatt

引用次数: 0

Three Dimension Angular Position Stabilization using LQR and Kalman Filter 基于LQR和卡尔曼滤波的三维角位置稳定

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2020-10-24 DOI: 10.1109/NILES50944.2020.9257883

A. Sobh, A. Kamel, A. Farouk, Y. Elhalwagy

{"title":"Three Dimension Angular Position Stabilization using LQR and Kalman Filter","authors":"A. Sobh, A. Kamel, A. Farouk, Y. Elhalwagy","doi":"10.1109/NILES50944.2020.9257883","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257883","url":null,"abstract":"This paper presents a design and evaluation for controlling a coupled system using a robust Linear Quadratic Regulator (LQR) controller acting on the augmented integral state space matrix model of a coupled system. System under investigation consisted of dual fan module that is interlinked and its axis moving freely in the pitch plan. On the other hand, a counter weight was used to balance the two fans thrust to optimize the controller effort in the elevation plan. The counterweight axe was denoted as the elevation axis. If the fans are not on the same horizontal line, the rotation of the system around itself in clockwise or anti-clockwise direction was carried out around the travel axis. The LQR controller design parameters should be able to stabilize itself at any degree on the travel or elevation axes while maintaining hover level along the pitch axis. Such controller acts by defining the penalty of each type of error in controlling this system. The error was multiplied by relevant penalty, then fed-back to the controller that controls the fan speeds accordingly. The representing model had three axes, each have a proportional, derivative, and integral term for the travel and elevation axes but not the pitch axis, the reasons will be discussed later in the paper. Modeling started by design process through defining a non-linear model of the system, linearizing it, then was transferred to state space format, add integral part to the model, then finally design and testing of an LQR controller.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188621","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