2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献_第7页

Improving the Performance of RSSI Based Indoor Localization Techniques Using Neural Networks 利用神经网络改进RSSI室内定位技术的性能

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474717

G. Anand, V. Thanikaiselvan

引用次数: 5

Low Complexity Coefficient decimation Filter Bank Module Using Interpolated Filter 使用插值滤波器的低复杂度系数抽取滤波器组模块

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474841

K. S. Vaidya, C. Dethe, S. Akojwar

引用次数: 1

Estimate soil moisture using Hyperspectal Remote Sensing for Crops 利用农作物高光谱遥感估算土壤水分

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474581

Mitul Sheth, Homera Durani

引用次数: 0

Semantic Smart City: Context Aware Application Architecture 语义智慧城市:上下文感知应用架构

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474777

Sahil Sholla, Roohie Naaz, M. Chishti

引用次数: 10

A Star Polygon with Concentric Circular slot DGS for Wlanlwimax Applications Wlanlwimax应用中具有同心圆槽的星形多边形

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474660

T. S. Reddy, Sampath Singh, P. Rao, S. Saheb, Ashok Kumar Balijep Alli, M. Venkateswarlu

引用次数: 1

Rfid and Hdl Based Pre-Paid car Parking System 基于Rfid和Hdl的预付费停车场系统

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474606

Archika Singh, Mumin Sajad Shawl, S. Bathla, N. Gaur, Anu Mehra

引用次数: 6

Fault Management Strategy and PWM Monitoring for HVAC ECU 暖通空调ECU故障管理策略及PWM监测

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474585

V. Patel, A. M

{"title":"Fault Management Strategy and PWM Monitoring for HVAC ECU","authors":"V. Patel, A. M","doi":"10.1109/ICECA.2018.8474585","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474585","url":null,"abstract":"Driver Interface is an electronic control unit (ECU) which has display and control features. Driver Interface ECU s include ECU s like Integrated Center panel (Radio interface control and HVAC interface control), HMI and Steering wheel control(SWC). Lets consider HVAC (heating, ventilation air conditioning) ECU. It is an air conditioning module which takes inputs from CAN and LIN communication bus, buttons, sensors and touch screen. It also has output lines to control in car temperature, fan speed and air distribution etc. Hardware input output lines are designed to be protected from unusual voltage and current failures. There are many scenarios to be verified to assure that protection design requirements(Fault management requirements) are effectively working. Currently these verification scenarios of ECU are done manually. There is a need to design automation to verify fault management requirement quickly and effectively. HVAC ECU also controls air inlet and air distribution in the vehicle through stepper motors. Stepper motors move as per the command from user interface (push buttons) or communication bus. Automation has to be developed to measure the stepper motor movements. Above automations are planned to develop using NI PXI (Peripheral extension of instrument) and NI LabViewalong with signal conditioning circuits. NI PXI will have cards to simulate and measure analog, digital lines and communication bus. LabViewis the IDE (integrated developing environment) to program the PXI cards for the above need.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128623317","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

Implementation and Analysis of Low Power Reduction Techniques in Sense Amplifier 感测放大器低功耗降耗技术的实现与分析

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474703

Reeya Agrawal, V. Tomar

引用次数: 6

Image Processing Based Non-Destructive Testing of Mushroom Sample 基于图像处理的蘑菇样品无损检测

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474553

A. Anil, Monika Arora

引用次数: 3

Image Encryption Based on Neural Network Architecture and Chaotic Systems 基于神经网络结构和混沌系统的图像加密

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2018-03-01 DOI: 10.1109/ICECA.2018.8474592

Gollapudi Venkata Sai Eswar Bharadwaj, K. Vijaya, Sandeep Kumar Balaga, V. Thanikaiselvan

{"title":"Image Encryption Based on Neural Network Architecture and Chaotic Systems","authors":"Gollapudi Venkata Sai Eswar Bharadwaj, K. Vijaya, Sandeep Kumar Balaga, V. Thanikaiselvan","doi":"10.1109/ICECA.2018.8474592","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474592","url":null,"abstract":"In this digital era security is an issue that is to be addressed. For this purpose, a variety of encryption techniques are being developed. This paper looks into a technique of image encryption/decryption that utilizes 3 layers of mapping of pixels on different levels of the RGB planes. Two of them are intraplanar processes and one is an interplanar process to ensure security on all levels. The first layer is a 2 Dimensional logistic mapping that happens on all the 3 RGB planes but only in the plane. The second layer, inspired by Neural Network architecture, adds weights to the individual pixels and shuffling takes place between the 3 RGB planes. In this layer, 3 chaotic functions are used to generate respective weights for the pixels. These functions are Newton-Leipnik chaotic system, Rossler attractor equations, Volta chaotic system. The third layer is again a 2 Dimensional mapping using Duffing map that shuffles the pixels in the planes. This technique has three layers which further have sub-layers make it a more secure technique.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114541115","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: 4