2016 IEEE Region 10 Symposium (TENSYMP)最新文献_第5页

Roulette wheel selection applied to PSO on numerical function in discrete and continuous space 将轮盘选择应用于离散和连续空间数值函数的粒子群算法

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519433

Pimolrat Ounsrimuang, S. Nootyaskool

引用次数: 2

A new approach to detect P300 in a single trial based on PCA and SVM classifier 基于主成分分析和支持向量机分类器的P300单次检测新方法

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519432

R. Swarnkar, P. Prasad, A. Keskar, N. C. Shivprakash

引用次数: 1

Rudas: Energy and sensor devices management system in home automation 家庭自动化中的能源和传感器设备管理系统

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519401

Padma Nyoman Crisnapati, I Nyoman Kusuma Wardana, I. Aryanto

{"title":"Rudas: Energy and sensor devices management system in home automation","authors":"Padma Nyoman Crisnapati, I Nyoman Kusuma Wardana, I. Aryanto","doi":"10.1109/TENCONSPRING.2016.7519401","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519401","url":null,"abstract":"This paper presents Rudas, a low cost and energy efficient system that fully operational for IP-based network. The system comprised of few embedded sensors and networking devices in the house that connected to the Internet architecture. It can be used in many applications, leading to the emerging concept of the Internet of Things (IoT). The IoT describes the future where everyday things (or objects) will be connected to the internet and be able to communicate themselves to other devices. In order to well maintain those sensor devices, it is often necessary to evolve devices to function correctly by allowing device management (DM) entities to remotely monitor and control devices without consuming significant resources. In particular, it includes a single board computer, microcontrollers, responsive web technology, database system, environmentally sensitive devices, tornado server software, cameras and could computing. The system is also implanted a fuzzy logic artificial intelligence to adjust the intensity of light and air condition in a room. Information will be recorded and calculated so that home owners will be more efficient in managing and monitoring all home devices. A result from this study is a well-worked home management and other aspects including security, energy saving and monitoring.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"78 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":"127643984","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: 11

Re-gripping analysis based on implementation of slip-detection device for robotic hand model 基于滑移检测装置实现的机械人手模型再夹持分析

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519405

Abdulrahman Abdulkareem S. Al-Shanoon, S. A. Ahmad, M. K. Hassan

引用次数: 2

A context-aware IoT architecture through software-defined data plane 通过软件定义的数据平面实现上下文感知的物联网架构

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519425

P. Du, Pratama Putra, Shu Yamamoto, A. Nakao

引用次数: 22

CMNTS: Catching malicious nodes with trust support in wireless sensor networks CMNTS:在无线传感器网络中捕捉具有信任支持的恶意节点

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519381

U. Prathap, P. D. Shenoy, K. Venugopal

{"title":"CMNTS: Catching malicious nodes with trust support in wireless sensor networks","authors":"U. Prathap, P. D. Shenoy, K. Venugopal","doi":"10.1109/TENCONSPRING.2016.7519381","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519381","url":null,"abstract":"Security in wireless sensor networks is critical due to its way of open communication. In this paper we have considered suite of attacks - packet modification, packet dropping, sybil attack, packet misrouting, and bad mouthing attack, and provided a solution to detect attacks. In literature, many schemes have been proposed to mitigate such attacks but very few detect the malicious nodes effectively and also no single solution detects all attacks. In the proposed approach, each node chooses the parent node for forwarding the packet towards sink. Each node adds its identity and trust on parent as a routing path marker and encrypts only the bytes added by node in packet before forwarding to parent. Sink can identify the malicious node based on trust value and node identities marked in packet. Child node observes the parent and decides the trust on parent based on successful and unsuccessful transactions. Data transmission is divided into multiple rounds of equal time duration. Each node chooses the parent node at the beginning of a round based on its own observation on parent. Simulated the algorithm in NS-3 and performance analysis is discussed by comparing the results with other two recently proposed approaches. With the combination of trust factor and fixed path routing to detect malicious activity, simulation results show that proposed method detect malicious nodes efficiently and early, and also with low percentage of false detection.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"31 2 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":"132295409","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: 17

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

Exploiting real-time big data to empower smart transportation using big graphs 利用实时大数据，利用大图表实现智能交通

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519392

M. Rathore, Awais Ahmad, Anand Paul, Uthra Kunathur Thikshaja

{"title":"Exploiting real-time big data to empower smart transportation using big graphs","authors":"M. Rathore, Awais Ahmad, Anand Paul, Uthra Kunathur Thikshaja","doi":"10.1109/TENCONSPRING.2016.7519392","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519392","url":null,"abstract":"The growing population in the metropolitan areas in this modern age requires more smart services of transportation. Achieving smart and intelligent transportation requires the use of millions of devices equipped with Internet of things (IoT) technology. On the other hand, graphs are the better way to represent the transportation infrastructure. The use of millions of IoT devices generates a huge volume of data, termed as Big Data, which results in the generation of big graphs. The processing of big graphs using current technology while taking the present real-time traffic information in order to generate graphs for real-time decision making is a challenging task. Therefore, in this paper, we proposed smart and intelligent transportation based on real-time traffic circumstances using graphs. It supports the municipalities to manage the traffic efficiently and facilitate the travelers' queries anytime, anywhere intelligently based on current traffic scenarios. The road sensor deployment and vehicular network are used to generate real-time traffic information producing Big Data. In addition, an architecture is proposed to efficiently process the real-time vehicular Big Data by using parallel processing systems and big graph processing technology. Various graph algorithms are used to respond the user queries smartly. Vehicular data of Madrid highway and Aarhus city of Denmark is used for analysis and evaluation by implementing the system using Giraph on top of Hadoop ecosystem. The results show the proposed system is efficient and cable to work in the real-time environment.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"197 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":"122382978","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: 24

Fire incidents management system in the city of Manila through geo-mapping 火灾事故管理系统在马尼拉市通过地理测绘

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519440

Maricor Y. Ingal, Ralph Louisse T. Tolentino, M. J. Valencia, Francis F. Balahadia, Arlene Caballero

引用次数: 5

Towards autonomous collision avoidance in surgical robots using image segmentation and genetic algorithms 基于图像分割和遗传算法的手术机器人自主避碰

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519416

Saad Hameed, O. Hasan

引用次数: 9