2016 IEEE Region 10 Symposium (TENSYMP)最新文献_第6页

Tree-based protocol for ad hoc networks constructed with data transmission modems 基于树的协议，用于使用数据传输调制解调器构建的自组织网络

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519376

S. Ohta

{"title":"Tree-based protocol for ad hoc networks constructed with data transmission modems","authors":"S. Ohta","doi":"10.1109/TENCONSPRING.2016.7519376","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519376","url":null,"abstract":"This paper presents a communication protocol for an ad hoc network constructed with 429 MHz data transmission modems. It is expected that the signal attenuation caused by rainfall is smaller for the 429 MHz band than for the 2.4 or 5 GHz band, which is used in wireless LANs and ZigBee. Additionally, since the signal diffraction is greater for this frequency than for higher frequencies, the signal is less attenuated by obstacles. Hence, the 429 MHz modem is suitable for networks with long-distance wireless transmission. However, the modem does not support network functions such as packet collision avoidance and routing. Thus, the paper presents a new simple protocol that avoids packet collisions and performs routing. The proposed protocol is essentially a token passing method that utilizes a rooted tree structure in a mesh network. In this method, the order of token passing is determined by a depth-first search in the tree. With this scheme, it is possible for the protocol to avoid packet collisions. In addition, routing is performed with very limited information stored at each node. This paper details the proposed token-based protocol and describes how the token and data packets circulate in the network. It also presents a distributed algorithm that finds a rooted tree in a mesh network. The proposed method was implemented on a prototype network. The feasibility of the method was confirmed through an experiment. The characteristic of a tree obtained by the tree construction algorithm is also clarified.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114120591","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

Usability and accessibility analysis of selected government websites in Sri Lanka 斯里兰卡选定政府网站的可用性和可访问性分析

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519439

Gopinath Sittampalam, V. Senthooran, N. Lojenaa, T. Kartheeswaran

引用次数: 14

Short term load forecasting of Eid Al Fitr holiday by using interval Type-2 Fuzzy Inference System (Case study: Electrical system of Java Bali in Indonesia) 基于区间2型模糊推理系统的开斋节短期负荷预测(以印尼爪哇巴厘岛电力系统为例)

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519411

Jamaaluddin, I. Robandi

引用次数: 14

Comparative analysis of PCA and KPCA on paddy growth stages classification 主成分分析法与KPCA法在水稻生育期分类中的比较分析

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519398

Hendra Halim, S. M. Isa, S. Mulyono

引用次数: 4

A novel face recognition for smart glasses 一种新的智能眼镜面部识别技术

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519388

Nanoka Sumi, V. Moshnyaga

引用次数: 4

Smart foot device for women safety 智能足部装置，女性安全

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519391

N. Viswanath, Naga Vaishnavi Pakyala, G. Muneeswari

引用次数: 44

Mitigation scenarios for crossed timeslot interference (CTI) in LTE TDD system LTE TDD系统中跨时隙干扰(CTI)缓解方案

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519377

R. Pangestu, M. Suryanegara

引用次数: 3

Impact of social-aware forwarding on traffic distribution in social opportunistic networks 社会机会主义网络中社会意识转发对流量分布的影响

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519370

B. Soelistijanto

{"title":"Impact of social-aware forwarding on traffic distribution in social opportunistic networks","authors":"B. Soelistijanto","doi":"10.1109/TENCONSPRING.2016.7519370","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519370","url":null,"abstract":"Social opportunistic networks (SONs) are delay-tolerant MANETs that exploit human mobility to enable message delivery in the networks. Humans tend to move in a way that is influenced by their social relations. Knowledge of social relationships therefore can be exploited to build social-aware routing protocols. These algorithms typically favour higher (social) ranking nodes as better relays for message transfers. The combination of this forwarding heuristic and the social network structure, which exhibits a non-uniform connectivity distribution with the existence of a few highly-connected nodes, leads the routing algorithm to direct most of the traffic through these hub nodes. Unbalanced traffic distribution therefore results in the network. This paper presents an analysis of traffic distribution in SONs when social-aware routing protocols are applied in the networks. Initially, we survey state-of-the-art social-aware routing protocols. We next investigate the topology characteristics of real-life SONs. Furthermore, we apply three forwarding strategies on these networks, categorising these strategies into social-aware forwarding and social-oblivious forwarding. The social-aware forwarding strategies consider node ranking when choosing traffic relays and the node ranking here is measured by degree and betweeness centralities. The social-oblivious forwarding, however, disregards node ranking on the forwarding decision and selects a relay node randomly. We show that the social-aware forwarding strategies result in very poor traffic distribution fairness, where a few (hub) nodes process a large fraction of the network traffic. Finally, we discuss the strategies for improving traffic distribution fairness in SONs.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121886947","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

A novel approach for iris recognition 一种新的虹膜识别方法

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519410

Rocky Yefrenes Dillak, Martini Ganantowe Bintiri

{"title":"A novel approach for iris recognition","authors":"Rocky Yefrenes Dillak, Martini Ganantowe Bintiri","doi":"10.1109/TENCONSPRING.2016.7519410","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519410","url":null,"abstract":"Iris is one of the biometrics that is very stable and reliable. This research aims to develop a method that can be used to perform iris identification using four hundred and twenty iris images from CASIA-v4-Syn (non-ideal iris) along with three hundred and seventy eight iris images from CASIA-v1 (ideal iris). The basic principle of the proposed method as follows: firstly, design the preprocess using amoeba median filter and Gaussian filter in order to enhance the effective area of the iris. Secondly, using modified CHT method, the iris area is segmented to separate the iris from the pupil. Subsequently, the selection process of ROI by applying homogeneous rubber sheet model to extract the intersection of internal and lower region from the segmented iris will consequently transform it to a rectangular shape which will be used for features extraction. The characteristic features namely maximum probability, correlation, contrast, energy, homogeneity, and entropy are then extracted using multiple 3D-GLCM; which is the advanced version of 2D GLCM. Finally, these features are trained using Elman Recurrent Neural Network/Levenberg-Marquardt algorithm to obtain the accuracy. Studies have shown that the recognition rates of this method can reach CRR of 91% using CASIA-Iris-Syn v4 and CRR of 94.22% using CASIA-Iris-Syn v1 which can meet the demand of iris recognition.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123562159","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

Framework of Semantic Data Warehouse for heterogeneous and incomplete data 异构和不完整数据的语义数据仓库框架

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519397

Ekasari Nugraheni, Saiful Akbar, G. Saptawati

{"title":"Framework of Semantic Data Warehouse for heterogeneous and incomplete data","authors":"Ekasari Nugraheni, Saiful Akbar, G. Saptawati","doi":"10.1109/TENCONSPRING.2016.7519397","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519397","url":null,"abstract":"The demand to analyse and extract knowledge derived from the collaboration of various sources has motivated the construction of Semantic Data Warehouse (SDW). The data derived from various external source introduces challenges, because it has heterogeneous structural characteristics, syntax and semantics and gives the possibility of incomplete data sources to provide the data required for analysis. It is possible that the required data is not provided by the original data source, but there are other data that can be used to generate this data. This research proposes a framework for development semantic data warehouse that can handle incomplete data and the heterogeneity data problems (format, syntax, and structure) through the use of ontologies. The framework also provides tools to handle incomplete data source. The available tools function is to transform the relevant objects instances to an external ontology classes to generate the required data. Identification the multidimensional elements and the conceptual design of multidimensional schema uses a hybrid approach that combines requirement-driven and supply-driven. The construction of cube schema using QB4OLAP vocabularies generate multidimensional schema and RDF data cubes that can perform OLAP operations.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130767859","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