Open IoT Research Articles

Optimizing Heterogeneous Resources for Open IoT Era

私逹は，オープンIoTに向け，ユーザが必要なデータを持つデバイスをオンデマンドに発見し利用する，Tacit Computing技術を提案し，その要素技術を実装してきた．本稿では，Tacit Computingで発見した，ユーザに必要なデータを持つデバイスを継続的に利用するサービスとするため，運用コスト低減や性能向上を行うための3レイヤーの最適化を提案する．最適化では，デバイス，ネットワーク，クラウドレイヤーで，適切な機能配置等を，本格運用前に行う．

An innovative deep architecture for aircraft hard landing prediction based on time-series sensor data

This paper proposes an innovative deep architecture for aircraft hard landing prediction based on Quick Access Record (QAR) data. In the field of industrial IoT, the IoT devices collect IoT data and send these data to the open IoT cloud platform to process and analyze. The prediction of aircraft hard landing is one kind of typical IoT application in aviation field. Firstly, 15 most relevant landing sensor data have been chosen from 260 parameters according to the theory of both aeronautics and feature engineering. Secondly, a deep prediction model based on Long Short-Term Memory (LSTM) have been developed to predict hard landing incidents using the above-mentioned selected sensor data. And then, we adjust the model structure and conduct contrastive experiments. Finally, we use Mean Square Error (MSE) as the evaluation criteria to select the most optimal model. Experimental results prove its better performance with higher prediction accuracy on QAR datasets compared with the state-of-the-art, indicating that this model is effective and accurate for hard landing prediction, which helps to guarantee passengers’ safety and reduce the incidence of landing accidents. Besides, the proposed work is conducive to making an innovation for building and developing the industrial IoT systems in aviation field.

Development of local area alert system against particulate matters and ultraviolet rays based on open IoT platform with P2P

Special attention needs to be paid to particulate matters and ultraviolet rays since they may cause diseases such as respiratory ailment and skin troubles when the exposure level is excessive. To reduce damages by environmental elements in Korea, the Korean Meteorological Agency provides environmental information real-time. However currently environmental information services are based on the administrative districts, there is a limitation in providing information on particulate matters and ultraviolet rays in the neighborhood efficiently. Besides, particulate matters or UV dosimeters that were released recently are operated individually and thus it is difficult to measure various environmental elements simultaneously. This study proposes a neighborhood particulate matters and ultraviolet rays warning system that utilizes a P2P-based open IoT platform in order to provide users with information on harmful environmental elements efficiently. The proposed system establishes an open IoT platform that manages collectively IoT smart devices capable of measuring particulate matters and ultraviolet rays, the measured data, and RSS data provided by administrative institutes. In addition, this system provides alerts based on the level of particulate matters and ultraviolet rays in utilization of a smart-phone application that provides environmental information, contributing to maintaining users’ healthy life patterns.

Internet-of-Things-Based Smart Cities: Recent Advances and Challenges

The Internet of Things is a novel cutting edge technology that proffers to connect a plethora of digital devices endowed with several sensing, actuation, and computing capabilities with the Internet, thus offering manifold new services in the context of a smart city. The appealing IoT services and big data analytics are enabling smart city initiatives all over the world. These services are transforming cities by improving infrastructure and transportation systems, reducing traffic congestion, providing waste management, and improving the quality of human life. In this article, we devise a taxonomy to best bring forth a generic overview of the IoT paradigm for smart cities, integrated ICT, network types, possible opportunities and major requirements. Moreover, an overview of the up-to-date efforts from standard bodies is presented. Later, we give an overview of existing open source IoT platforms for realizing smart city applications followed by several exemplary case studies. In addition, we summarize the latest synergies and initiatives worldwide taken to promote IoT in the context of smart cities. Finally, we highlight several challenges in order to give future research directions.

The design of Open IoT Platform based on oneM2M Standard Protocol

The design of Open IoT Platform based on oneM2M Standard Protocol

오픈소스 하드웨어와 클라우드 서비스 기반의 개방형 IoT 플랫폼 구축

모든 사물이 지능화되고 인터넷과 연결되는 IoT의 시대가 열리고 있다. IoT 생태계 구축과 활성화를 위해서는 개방형 IoT 서비스 플랫폼이 무엇보다도 중요하다. 본 논문에서는 개방형 IoT 서비스 플랫폼의 한 요소로서 오픈 소스 하드웨어와 대표적인 상용 클라우드 서비스인 AWS를 기반으로 하는 개방형 IoT 플랫폼을 개발하고 테스트베드를 구축하여 그 기능을 확인하였다. The era of IoT in which all objects are intelligent and are connected to the internet has been started. In order to establish and activate an IoT eco system, open IoT services platform is very important. In this paper, we develop an open IoT services platform and verified the function by building a testbed. Our platform based on the open source hardware and commercial cloud services such as AWS which is a component of an open service IoT platform.

Switch Pattern Encryption Based WBAN Security in an IoT Environment

Data security is a major challenge in E health monitoring research. Nowadays Wireless body area networks faces various security threats. Authentication is very much required in health care domain, as an open IOT environment is accessed by all. In this article, we have proposed efficient Light weight embedded cryptographic architecture using switch pattern encryption for WBAN security. The security is ensured to the wearable sensors in such a way that any external unknown entity cannot access patient’s physiological data and deceive the medical professionals. The main aim of this work is to improvise the security and privacy of E healthcare monitoring systems when compared with the existing findings. Proposed algorithm overcomes DoS attacks in the BAN environment and reduces the runtime for the switch pattern encryption algorithm. Signcryption can be included along with switch pattern encryption as a future work in order to achieve confidentiality and authentication in a single step.

DIO: Development of a Mobile Application for Effective Information Sharing and Collaboration among Co-Located People

Since social activities of the modern people have increased continuously in recent year, many people frequently communicate with each other online and/or offline, exchanging a variety of information. Thanks to the development of smartphones and a wide range of mobile applications helping social activities of people, people can communicate more easily beyond their time and space. But, there are not many mobile applications specially designed for effective communication and collaboration among co-located people, most of the existing applications only provide limited functions. In this paper, we present an android mobile application DIO specially designed for co-located people to collaborate in a rich way. DIO enables users to share and exchange their profiles, favorite photos, musics, videos and documents according to one of the three open levels - public, business and community level. In addition, through DIO, co-located people can chat, vote, and survey. DIO is implemented on the top of AllJoyn platform - an open source IoT platform developed by the AllSeen Alliance. So, it can be easily done to extend DIO to communicate with other smart things running on the same platform.

Development of a Co-Creation Environment for an Open IoT Platform

Development of a Co-Creation Environment for an Open IoT Platform

Social things: Now we can

We instantiate a social things paradigm in terms of a social network of facts which drives our household appliances in our name. The appliances are connected to the network, directly receiving the sequence of instructions (parameter/value pairs) constituting the recipe to perform a task requested by the user. The recipes are issued by the computational intelligence algorithms in the core of the social network. Users, appliances and social network are part of an entire ecosystem that we realized in the frame of the EU project Social&Smart. In this paper we describe the architecture, the information infrastructure and the first achievements of the Social&Smart ecosystem within the general cadre of an Open Internet of Things (Open IoT).

SNS를 IoT 플랫폼으로 이용한 도시농장 관리시스템 개발

IoT is emerging topic of the post-smartphone era. But IoT service is actually not easy but due to the absence of the open standard IoT service platform. In this study, We propose and implement IoT services platform using commercial SNS platform like Tweet, Facebook or YouTube. we implement the intelligent control system of the urban farm using our IoT services platform as an example. Our system can save an additional server deployment and management cost using open SNS platform like Tweet or Facebook or Youtube. In addition, there are needs to develop App. for the smartphone because we can take advantage of the user interface which is developed by global enterprises.