2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)最新文献_第6页

Fast and reliable tracking algorithm for on-road vehicle detection systems 道路车辆检测系统快速可靠的跟踪算法

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536983

J. Baek, Byung-Gil Han, Hyunwoo Kang, Yoonsu Chung, Su-In Lee

{"title":"Fast and reliable tracking algorithm for on-road vehicle detection systems","authors":"J. Baek, Byung-Gil Han, Hyunwoo Kang, Yoonsu Chung, Su-In Lee","doi":"10.1109/ICUFN.2016.7536983","DOIUrl":"https://doi.org/10.1109/ICUFN.2016.7536983","url":null,"abstract":"In this paper, we proposes a novel tracking algorithm combining Kalman Filter with mean-shift. Kalman Filter predicts the vehicle position in the next frame. Mean-shift finds the best candidate which has maximum similarity with the tracked vehicle in the predicted area. Kalman Filter updates its state value of vehicle position with the position of the best candidate from the mean-shift tracker. As a result, the proposed algorithm tracks the vehicle without local maximum problem of mean-shift tracker. The proposed algorithm is very fast because it does not perform the redetection process, and it has no detection misses because it finds the best candidate which has maximum similarity with the tracked vehicle in the predicted area. Also, the proposed algorithm has deleting and adding policies for the tracking list management. If a vehicle was consecutively detected in the previous frames, the proposed algorithm assumes that the vehicle exists although the vehicle is not detected in the predicted region at the current frame. If a vehicle was not detected in the previous frames consecutively, the proposed algorithm assumes that the vehicle does not exist although the vehicle is detected in the current frame. We evaluated the performance of the proposed algorithm in terms of processing time and detection ratio. At target board, the proposed algorithm has 40 frames per second, which meets the real time requirements of the ADAS systems. The detection ratio and processing time of the proposed algorithm outperformed our former work.","PeriodicalId":403815,"journal":{"name":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130725384","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

A modified reversible data hiding in encrypted image using enhanced measurement functions 一个改进的可逆数据隐藏在加密图像使用增强的测量功能

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7537160

Fatema-Tuz-Zohra Khanam, Kyoung-Young Song, Sunghwan Kim

引用次数: 10

Targeted advertising using behavioural data and social data mining 使用行为数据和社会数据挖掘的定向广告

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536934

V. Bhatia, V. Hasija

引用次数: 7

Automatic failure diagnosis for Wireless LAN systems based on distribution of responses from STAs 基于sta响应分布的无线局域网系统故障自动诊断

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7537147

H. Fujita, Takayoshi Nakayama, Y. Wen, Dai Kimura

{"title":"Automatic failure diagnosis for Wireless LAN systems based on distribution of responses from STAs","authors":"H. Fujita, Takayoshi Nakayama, Y. Wen, Dai Kimura","doi":"10.1109/ICUFN.2016.7537147","DOIUrl":"https://doi.org/10.1109/ICUFN.2016.7537147","url":null,"abstract":"With increase in the use of Wireless LANs in the enterprise area, network systems are often scattered across multiple locations in a wide area. Hence, there may be cases where a network administrator manages multiple locations. When users complain about connectivity issues, network administrators are expected to diagnose these problems without disrupting the normal operation of devices such as wireless stations (STAs) or access points (APs). In such cases, an on-site failure diagnosis is both time-consuming and expensive. Thus, an automated diagnostic technique to identify the cause of failure is important. We propose a method that can automatically identify the cause of the connectivity issues. The proposed method does not introduce any additional monitoring device, or require any functionality to be added in the AP or STA. In our proposed method, we send test packets to all STAs periodically and analyze the distribution of the responses and the RSSIs (received signal strength indicators) of the STAs. This helps to distinguish whether the connectivity issue is being caused by an AP failure, STA failure, or by a coverage-hole, which is a lack of network connectivity in certain areas of a building. The experimental results show that our proposed method is effective for the detection of AP failures, STA failures, and coverage-hole failures. From the detection results of a long experimental trial conducted in an actual office environment, it was observed that the false-detection probability of AP failure was very low. The STA failure was reported to be 0.36%, which was assumed to be because of hardware switch-offs or false detections because STA breakdowns were not reported during the trial. The ratio of the status “AP failure or STA failure” in the total failure detection was about 11%. Therefore, our proposed diagnosis system can suggest the cause of failure with a probability of 89%.","PeriodicalId":403815,"journal":{"name":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125541771","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

QoE assessment of a reliable groupcast scheme in audiovisual transmission over a wireless LAN 无线局域网视听传输可靠群播方案的QoE评估

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7537098

Toshiro Nunome, Haruki Yamamoto, Yuma Honda

引用次数: 1

Asymptotic performance comparison of concatenated codes with different inner decoding schemes in frequency-hopping spread spectrum packet radio networks 跳频扩频分组无线网中不同内部译码方案串接码的渐近性能比较

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536994

Y. Lee, Dong-Ho Kim, Sunghyun Cho

引用次数: 0

An orthogonal coded hybrid MAC protocol with received power based prioritization for M2M networks 基于接收功率优先级的M2M网络正交编码混合MAC协议

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7537134

In-Seop Park, Ethungshan Shitiri, Ho-Shin Cho

引用次数: 8

Multi-cell interference coordinated scheduling in mmWave 5G cellular systems 毫米波5G蜂窝系统中的多小区干扰协调调度

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536929

Chun-Yen Chen, Yin-Yi Chen, Hung-Yu Wei

引用次数: 14

Performance analysis of a generalized color modulation under the channel model for high-rate PD communication 高速率 PD 通信信道模型下的广义彩色调制性能分析

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536976

Jai-Eun Kim, Ji-Won Kim, Ki-Doo Kim

引用次数: 0

Energy-aware Topology Management for 5G dual-hop ultra-high capacity backhaul networks exploiting path diversity 利用路径多样性的5G双跳超高容量回程网络的能量感知拓扑管理

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2016-07-05 DOI: 10.1109/ICUFN.2016.7536952

Aftab Ahmed, D. Grace

引用次数: 1