2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)最新文献_第4页

Application of Big Data, Fast Data, and Data Lake Concepts to Information Security Issues 大数据、快速数据和数据湖概念在信息安全问题中的应用

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.41

N. Miloslavskaya, A. Tolstoy

引用次数: 25

Distributed Interference Alignment in Partially Connected Networks without Preliminary Topological Knowledge 不具备初步拓扑知识的部分连通网络中的分布式干扰对齐

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.34

P. Farkaš, M. Staron, F. Schindler

引用次数: 0

A Mobile Cloud System for Different Useful Applications 不同应用的移动云系统

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.66

L. Tawalbeh, Waseem Bakhader

{"title":"A Mobile Cloud System for Different Useful Applications","authors":"L. Tawalbeh, Waseem Bakhader","doi":"10.1109/W-FiCloud.2016.66","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.66","url":null,"abstract":"Enhancements of mobile devices capabilities resulted in an increasing usage of them among people all over the world. These smart devices including the smart phones changed our life style forever, and they are considered by many people as an inseparable part of their daily activities. We are using these mobile devices to do many useful activities such as: stay in touch with others through audio and video calls, run health and GIS applications, and do online shopping. However, there are some weakness aspects of these devices that limit their functionality: short battery and small memory. Mobile Cloud Computing promises to overcome such mobile device's limitations. The large files can be stored at the cloud, and the execution of huge jobs will be done at cloud also, and the mobile device will receive the results only. In this paper, we will build a mobile cloud system (MCS) for university applications. The proposed system can perform different tasks based on the types of the sensors used (motion, fire, or health sensors). We will present the design of two main applications of the proposed MCS which are in fire detection and traffic management inside the university. The data collected by the sensors will be transferred and analyzed in MCS to extract the suitable decision.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116465721","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: 27

An Autonomous Aquaponics System Using 6LoWPAN Based WSN 基于6LoWPAN的WSN自主鱼菜共生系统

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.37

Hari Kumar, Sandhya Baskaran, S. Hariraj, V. Krishnan, B. Tech

{"title":"An Autonomous Aquaponics System Using 6LoWPAN Based WSN","authors":"Hari Kumar, Sandhya Baskaran, S. Hariraj, V. Krishnan, B. Tech","doi":"10.1109/W-FiCloud.2016.37","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.37","url":null,"abstract":"Aquaponics is a groundbreaking food production technique that combines both traditional methods of aquaculture and hydroponics to grow both fish and crops in a single integrated system. Aquaponics system uses fish wastes to provide essential nutrients to the plants. In return plants serve as a bio-filter for the fish in a symbiotic relationship. The purpose of this paper is to showcase how to build an efficient Internet of Things (IoT) application for aquaponics in order to create an autonomous, self-regulating system with the help of Wireless Sensor Network (WSN). An open standard of WSN called 6LoWPAN is being used in this system which helps us to construct a global infrastructure. The designed aquaponic system is composed of sensor devices that can sense and collect information of the various dimensions of the water quality involved and store it in a cloud database. This means that the human intervention would be considerably less when compared to the traditional methods of aquaponics. In addition to the traditional technique, with the help of Next-Gen Telco technologies, i.e., using their high bandwidth and low latency, infected fishes are detected automatically on time and treat them to ensure the balance in our aquaponics ecosystem. In this paper we propose an end-to-end system to enable \"Connected Aquaponics\" which includes WSN and Next-Gen Telco to increase the crop yield and provide organic sustainable food to the world community.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116200470","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: 23

Malware Development on Mobile Environments 移动环境下的恶意软件开发

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.62

Gianluca Papaleo, E. Cambiaso, L. Patti, M. Aiello

引用次数: 6

The Black Mark beside My Name Server: Exploring the Importance of Name Server IP Addresses in Malware DNS Graphs 我的名字服务器旁边的黑色标记:探索恶意软件DNS图中名称服务器IP地址的重要性

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.61

Jukka Ruohonen, S. Šćepanović, S. Hyrynsalmi, I. Mishkovski, T. Aura, V. Leppänen

引用次数: 3

Social Networks Benchmark Dataset for Diseases Classification 疾病分类的社会网络基准数据集

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.56

Muhannad Quwaider, Mosab Alfaqeeh

{"title":"Social Networks Benchmark Dataset for Diseases Classification","authors":"Muhannad Quwaider, Mosab Alfaqeeh","doi":"10.1109/W-FiCloud.2016.56","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.56","url":null,"abstract":"Social Network Analysis becomes an important field of research focusing on studying users' data and its contributions on social network media. The goal of this study is to build relations between people in the disease field and to analyze certain knowledge or activities. In order to accomplish these goals, investigators become very interest in social network analysis to conclude certain behavior or prediction from various data in social networks. People in the field of sociology expect that the relationship between people and the real-life style can be mirrored in the social networks. On the other hand, manual classification of unstructured data from social networks is almost impossible. Therefore, there is a required for an automatic classification method in order to formulate this data and to be more convenient and accessible. In this paper we are studying data of diseases from Facebook pages. These diseases are associated to the categories of popular diseases such as Ebola, Malaria and HIV/AIDS. In this paper we addressed classifier as a supervised learning task and an innovative dataset named Benchmark Dataset for Diseases Classification (BDDC) is created. BDDC is well-documented dataset and its file formats and compatible with recognized text mining tools and to be utilized in the comparative experiments by other researchers. Three commonly classifiers are used and two versions are BDDC are used. The performance results show that BDDC with stemmer performs better than the one without stemmer because of using stop words filtering and porter.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"24 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130676769","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: 6

Smart Mobile-Based Emergency Management and Notification System 基于智能移动的应急管理和通知系统

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.64

M. Ghazal, Samr Ali, Marah Al Halabi, Nada Ali, Yasmina Alkhalil

引用次数: 13

Data Modeling and Case-Based Reasoning for Social Monitoring 面向社会监测的数据建模和基于案例的推理

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.49

Hadi Hashem, D. Ranc

引用次数: 0

An Investigation on the M2M/IoT Trajectory and Its Relationship with Formal Standards M2M/IoT发展轨迹及其与形式化标准关系研究

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.73

Dong-hyu Kim, Heejin Lee

引用次数: 1