2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)最新文献_第8页

Unicast Routing Protocols to Reduce Electric Energy Consumption in Wireless Ad-Hoc Networks 减少无线自组织网络中电能消耗的单播路由协议

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00140

E. Ogawa, Shigenari Nakamura, T. Enokido, M. Takizawa

{"title":"Unicast Routing Protocols to Reduce Electric Energy Consumption in Wireless Ad-Hoc Networks","authors":"E. Ogawa, Shigenari Nakamura, T. Enokido, M. Takizawa","doi":"10.1109/WAINA.2018.00140","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00140","url":null,"abstract":"In wireless ad-hoc networks, messages have to be energy-efficiently exchanged among neighboring nodes. In our previous studies, the reactive type EAO (Energy-Aware One-to-one routing) and LEU (Low-Energy Unicast Ad-hoc routing) protocols are proposed to unicast messages to the destination node. In the EAO protocol, the total electric energy of nodes and delay time from a source node to a destination node can be reduced compared with the ESU and AODV protocols. However, a source-to-destination route may not be found if the communication range of each node is shorter. In this paper, we newly proposed an IEAO (Improved Energy-Aware One-to-one routing) protocol to overcome the difficulties of the EAO protocol. Here, after a shortest route is found to the destination node, a more energy-efficient prior node is found in nearest neighbor of each node starting from the destination node. In this paper, a neighbor node which has an uncovered neighbor node is selected as a prior node for each node to make a route. In the evaluation, we show the number of nodes in a source-to-destination route can be reduced and a route can be found even in shorter communication range in the IEAO protocol compared with the LEU and EAO protocols.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286805","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

Security-Aware Network Analysis for Network Controllability 面向网络可控性的安全感知网络分析

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00136

Shuo Zhang, S. Wolthusen

引用次数: 1

Dijkstra Algorithm Based Ray Tracing: A Case Study for Tunnel Structures 基于Dijkstra算法的光线追踪:隧道结构的案例研究

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00067

K. Uchida, L. Barolli

引用次数: 3

Real-Time Face Detection Using a Moving Camera 使用移动摄像机进行实时人脸检测

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00153

Deng-Yuan Huang, Chao-Ho Chen, Tsong-Yi Chen, Jian-He Wu, C. Ko

{"title":"Real-Time Face Detection Using a Moving Camera","authors":"Deng-Yuan Huang, Chao-Ho Chen, Tsong-Yi Chen, Jian-He Wu, C. Ko","doi":"10.1109/WAINA.2018.00153","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00153","url":null,"abstract":"This paper presents a real-time face detection system using a moving camera. The proposed system consists of three modules, including (1) detection of face candidates: Face candidates are generated using the information of skin color, edges, and face area, (2) verification of face candidates: HOG (Histogram of Oriented Gradient) features are generated from face candidates and a two-class C-SVM (Support Vector Machine) classifier with pretrained face samples is employed to determine whether face candidates are real faces or not, (3) face tracking: Overlapping area of two face targets in current and previous frames is estimated to determine whether the tracking will be continuous or not. By use of estimation of face size, the proposed method can avoid a huge amount of computation time that is required by a point-by-point scanning way in conventional methods. Moreover, the accuracy of the face detection can be improved greatly. The proposed system can successfully detect most faces of the crowds in open space, which is beneficial for quickly searching the specified persons to prevent the occurrence of possible criminal events.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129350187","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: 10

Coordination Pattern-Based Approach for Auto-Scaling in Multi-clouds 基于协调模式的多云自动缩放方法

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00113

E. Kühn, Stefan Craß

引用次数: 0

An Intelligent Car Park Management System : Hierarchical Placement Algorithm Based on Nearest Location 智能停车场管理系统:基于最近位置的分层布局算法

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00151

Burak Kizilkaya, M. Çağlar, F. Al-turjman, E. Ever

{"title":"An Intelligent Car Park Management System : Hierarchical Placement Algorithm Based on Nearest Location","authors":"Burak Kizilkaya, M. Çağlar, F. Al-turjman, E. Ever","doi":"10.1109/WAINA.2018.00151","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00151","url":null,"abstract":"Finding a parking spot can become quite stressful especially for the cases where the final destination of the journey is not well known and the parking region is rather complicated with large numbers of spots. Identification of a suitable parking spot can also be considered as an expensive process since it often causes an increase of vehicle traffic which in turn causes a consequent increase of pollution. In this paper, we present a hierarchical approach that helps users to reach a free parking spot easily, in a small area or a city. This solution introduces an approach which makes searching process in car parking applications efficient in terms of time and energy. It introduces two levels of hierarchy to make placement process more efficient. In the first level, algorithm only checks for the nearest car park. At the second level, algorithm focuses on the car park that is the nearest and checks the nearest parking spot in that car park. Using this hierarchical approach, search for an empty spot becomes more time efficient. Simulation results are presented in this study to show the efficiency of the proposed hierarchical approach. Both hierarchical and non-hierarchical approaches are employed for the same scenario in order to show the effectiveness of the new approach. According to simulation results, hierarchical approach is more efficient in terms of search time and energy. Briefly, we investigate how hierarchical approach affects the search algorithms used for car parking applications.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116222301","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: 9

Design of a Small Metamtrial Antenna for Millimetric Wave Applications 用于毫米波应用的小型元天线设计

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00069

Bouthaina Smari, M. Labidi, F. Choubani

引用次数: 0

Towards a Secured Clustering Mechanism for Messages Exchange in VANET VANET中消息交换的安全集群机制研究

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00068

Amira Kchaou, Ryma Abassi, S. Fatmi

引用次数: 19

Open Information Extraction for Italian Sentences 意大利语句子的开放式信息提取

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00165

Emanuele Damiano, A. Minutolo, M. Esposito

{"title":"Open Information Extraction for Italian Sentences","authors":"Emanuele Damiano, A. Minutolo, M. Esposito","doi":"10.1109/WAINA.2018.00165","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00165","url":null,"abstract":"Extracting information from text corpora is the first step for machines to understand and summarize vast quantities of text that are available in both scientific and more general knowledge repositories. Open Information Extraction (OIE) is a recent unsupervised strategy to extract huge amounts of propositions from massive unstructured data. Most of the existing OIE approaches so far has been focused on English, with only some recent attempts for other languages. Although Italian is a major European language, to the best of our knowledge, no significant research has been conducted in Italian OIE yet. This paper is intended to fill this knowledge gap and presents ItalIE, an Italian OIE system aimed at extracting n-ary propositions from simple sentences made by single clauses. Single clauses are detected in the input sentences and classified with respect to seven patterns defined for the Italian language by exploiting linguistic information from dependency parsing and Italian lexica of verb types. Depending on these patterns, minimal clauses are extracted and, on the top of them, further propositions are generated by opportunely adding optional complements and adverbials. An experimental study is performed on a dataset of 240 simple sentences in Italian, showing a good effectiveness of the system in determining correct clause types and extracting coherent propositions.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128363590","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: 5

Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement 利用非线性图像增强技术改进无人机航拍图像

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00156

Lung-Jen Wang, W. Hsieh

引用次数: 3