2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)最新文献

Adverse weather simulation for training neural networks 恶劣天气模拟训练神经网络

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8309327

K. Praveen, Jashojit Mukherjee, V. Madumbu

{"title":"Adverse weather simulation for training neural networks","authors":"K. Praveen, Jashojit Mukherjee, V. Madumbu","doi":"10.1109/ICCE-ASIA.2017.8309327","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8309327","url":null,"abstract":"Convolutional neural networks generally require considerable amount of data for training to perform adequately well in all real-world scenarios. Many times, the data for all scenarios is hard to collect and ground truth annotation is also a challenge. Similar problem exists in training networks for the autonomous vehicles given the diverse weather conditions where these cars are expected to be driven. Thus, a synthetic data generation model is imperative and we go about building a weather simulation framework. This framework is intended to generate weather conditions over different driving scenarios. To start with, we go about implementing a completely configurable rain/fog/windshield simulation model. The scope of this framework, however is much more than these three models. Apart from refining these models further as and when need, we intend to build in mechanisms to simulate more diverse weather conditions within this framework. There are multiple challenges in the implementation of these models. To begin with, we need a mechanism to simulate diverse weather conditions in a driving environment. One method could be to simulate the entire 3D environment, with the roads, automobiles, and an artificial world, but this approach would be extremely challenging both in terms of the realism that can be achieved, and in terms of the time it would take for the implementation. Another method is to overlay the rain/fog effect on top of pre-rendered videos. This 2D overlaying technique is a practical solution, since there exist many driving videos at our disposal. In this paper, we outline methods to implement this effectively, and showcase the results obtained in training a Neural Network with this approach.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126966722","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

Solid state relay based inrush current limiter with short circuit and under voltage protection for dc-dc converters 直流-直流变换器中具有短路和欠压保护的基于固态继电器的涌流限制器

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307841

R. Ranjan

引用次数: 2

Continuous, robust hand gesture recognition for embedded devices 连续的，鲁棒的手势识别嵌入式设备

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307840

Ujwal Bachiraju Venkata Satya, V. Peddigari

引用次数: 0

FPGA implementation of blind source separation using a novel ICA algorithm 用一种新的ICA算法在FPGA上实现盲源分离

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307845

Vinita Singh, V. Somani, J. Manikandan

引用次数: 4

Efficient frequency domain CNN algorithm 高效频域CNN算法

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307846

Mihir Mody, C. Ghone, Manu Mathew, Jason Jones

{"title":"Efficient frequency domain CNN algorithm","authors":"Mihir Mody, C. Ghone, Manu Mathew, Jason Jones","doi":"10.1109/ICCE-ASIA.2017.8307846","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307846","url":null,"abstract":"Deep Learning techniques like Convolutional Neural Networks (CNN) are getting popular for image classification with broad usage spanning across automotive, industrial, medicine, robotics etc. Typical CNN network consists of multiple layers of 2D convolutions, non-linearity, spatial pooling and fully connected layer, with 2D convolutions constituting more than 90% of total computations. The Fast Fourier Transform (FFT) based approach for convolution is promising in theory, but not used in practice due to growth in memory sizing of coefficients storage. The paper proposes new frequency domain algorithm which avoids memory size growth compared to traditional FFT based approach for performing 2D convolution. The proposed algorithm performs Fourier Transform (FT) of coefficients On-The-Fly (OTF) instead of offline calculation on PC. The proposed algorithm consists of expands, OTF-FT and pruning blocks that do efficient 2D convolution in the frequency domain. The proposed algorithm is compared with the FFT-based algorithm for the coefficient transformation. As per simulations, assuming typical network configuration parameters, the proposed algorithm is 4–8X faster compared to FFT based approach for the co-efficient transform.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104407","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

Design, analysis and control of an autonomous underwater surveillance robot 自主水下监视机器人的设计、分析与控制

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307847

S. Udupa, Nishant Joshi, Shashank Raman

{"title":"Design, analysis and control of an autonomous underwater surveillance robot","authors":"S. Udupa, Nishant Joshi, Shashank Raman","doi":"10.1109/ICCE-ASIA.2017.8307847","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307847","url":null,"abstract":"A large part of our oceans is still an uncharted territory to humans. The coastal and river bodies serve as a channel for transportation and trades, and hence are vulnerable to accidents and mishaps. In some unfortunate case of an airplane crash, it becomes really hard to find an object underwater, and it also put human lives at stake. Thus, a continuous probation is needed. The aim of this paper is to study the design and development of an Autonomous Underwater Surveillance Robot which would propel this human endeavor and can also be deployed for security surveillance for the navy. The design and development of the robot took place in a controlled environment. The paper aims to suggest a design for the robot with functionalities for maneuverings, image recognition and depth control. The paper revolves around designing the robot and performing various simulation analysis so as to get a clear picture of its condition in the real life simulation. It needs intelligent platforms to solve such complex problems. Using various software packages such as Solid Works and OpenProp for the design and analysis part and FlowExpress for pressure and Computational Fluid Dynamics (CFD) simulation. The proposed model for the robot is a robust design with concern to all the surrounding and the environmental conditions. The result is a streamlined design for the AUV facing the least underwater drag.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133752397","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

Augmented reality in broadcasting 广播中的增强现实

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307849

Shivakumar Chandrasekaran, Umesh Kesavan

引用次数: 3

BRAPTER: Compact braille transput communicator 紧凑型盲文传输通信器

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8309319

V T Shubhom, S. Keerthan, S. Swathi, G. Abhiram, R. Shashidhar

引用次数: 3

Trans-receiver with digital modulator & frequency up converter for secured communication 带数字调制器和变频转换器的收发器，用于保密通信

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307838

Nanda Kishora Holla, S. Yellampalli

引用次数: 1

Swarm home robots 蜂群家庭机器人

2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Pub Date : 2017-10-01 DOI: 10.1109/ICCE-ASIA.2017.8307836

P. Kalla, Ramji K Ramj, P. Ravindranath

{"title":"Swarm home robots","authors":"P. Kalla, Ramji K Ramj, P. Ravindranath","doi":"10.1109/ICCE-ASIA.2017.8307836","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307836","url":null,"abstract":"Swarm robotics is a relatively new research area inspired from biological systems such as ant or bee colonies. It composes a system consisting of many small robots with simple control mechanisms capable of achieving complex collective behaviors on the swarm level such as aggregation, pattern formation and collective transportation to name a few. The main motto of this paper is to incorporate the swarm technology in consumer electronics where these are used in the operations like cleaning, pick and place, transportation of the household items from one location to another location in the place we reside. While a single robot can perform the home tasks, it might not be able to perform the tasks quickly. Time will be lost in finishing one task and then moving to another. So, it is evident that more than one robot must be used here. When more than one robot is used, controlling the robots becomes an important issue especially when the target locations and the robots are large in number. So, for easing the control of more than one robot, traits of Swarm behavior are replicated and implemented. Hence, a swarm behavior replicating group consisting of two robots are designed and fabricated that demonstrate how multiple-tasks can be handled effectively by a group of robots that perform individual actions while communicating and acting symbiotically. In the present paper, when target co-ordinates are passed to one robot, while retaining one target location, it passes another location to the other robot. Both start moving towards their target locations, but continue communicating with each other. In event of failure of one of the robots, the other robot takes notice of the failure. It continues to its location, does its work at that location, and then gives a backup at the other target location by performing the task of the robot that failed.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231241","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