• Title/Summary/Keyword: Internet data

Search Result 10,076, Processing Time 0.035 seconds

A Study of Web-based Remote Pneumatic Servo Control System Using Java Language (자바를 이용한 웹 기반 원격 공압 서보 제어 시스템에 관한 연구)

  • 박철오;안경관;송인성
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.9 no.3
    • /
    • pp.196-203
    • /
    • 2003
  • Recent increase in accessibility to the internet makes it easy to use the internet-connected devices. The internet could allow any user can reach and command any device that is connected to the network. But these teleoperation systems using the internet connected device have several problems such as the network time delay, data loss and development cost of an application for the communication with each other. One feasible solution is to use local and external network line for the network time delay, transmission control protocol for data loss and Java language to reduce the development period and cost. In this study, web-based remote control system using Java language is newly proposed and implemented to a pneumatic servo control system to solve the time delay, data loss and development cost. We have conducted several experiments using pneumatic rodless cylinder through the internet and verified that the proposed remote control system was very effective.

Personalized Information Retrieval Method considering Participating Device in Internet of Things (사물인터넷에서 참여 기기를 고려한 개인화 정보 검색 기법)

  • Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.16 no.1
    • /
    • pp.21-31
    • /
    • 2020
  • Internet of Things is growing rapidly. As it evolves, the amount of data is increasing significantly. It requires a new personalized information retrieval method. Internet of Things is defined as uniquely identifiable interoperable connected object. The first definition of Internet of Things was from Things oriented perspective. However, previous studies about personalized information retrieval method do not consider Things. To meet user's individual needs, previous studies concentrate on only human, not Things. In this paper, we propose a personalized information retrieval method considering participating device in Internet of Things. It provides personalized information using data type preference for each device. Moreover, it provides personalized results by integrating data type preference for set of devices. This paper describes a new personalized retrieval method and algorithm. It consists of five steps. Then, it presents four scenarios using proposed method. The scenarios show our work is more effective and efficient than existing one.

Mobile Oriented Future Internet (MOFI): Architectural Design and Implementations

  • Kim, Ji-In;Jung, Heeyoung;Koh, Seok-Joo
    • ETRI Journal
    • /
    • v.35 no.4
    • /
    • pp.666-676
    • /
    • 2013
  • With the recent growth in smartphone services, the "mobile" environment has become a key factor to consider in the design of the future Internet. In this paper, we propose Mobile-Oriented Future Internet (MOFI), which is a new architecture for the future Internet for mobile-oriented environments. The MOFI architecture is designed with three functional features: global identifier and local locator in the identifier-locator separation, query-first data delivery for route optimization, and distributed control of identifier-locator mapping. The proposed architecture and functional operations are implemented and tested using the Linux platform. From the experiment results, we see that the MOFI architecture performs better than the existing identifier-locator separation schemes, such as Proxy Mobile IP and Host Identity Protocol, in terms of data throughout, mapping control overhead, and handover delay.

Examination of Required Functions in the PBNM Scheme for Multiple Domains as Cyber Physical System that Utilizes Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.2
    • /
    • pp.31-38
    • /
    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, required functions in the PBNM Scheme for multiple domains as cyber physical system that utilizes data science and AI is examined.

Basic System Design in the PBNM Scheme for Multiple Domains as Cyber Physical System Using Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.11
    • /
    • pp.1-7
    • /
    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, basic system design for PBNM scheme for multi-domain management utilizing data science and AI is proposed.

Experiment in the PBNM Scheme for Multiple Domains as Cyber Physical System Using Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.8
    • /
    • pp.54-60
    • /
    • 2024
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, basic system design for PBNM scheme for multi-domain management utilizing data science and AI is showed with experiment in feasibility.

GreenIoT Architecture for Internet of Things Applications

  • Ma, Yi-Wei;Chen, Jiann-Liang;Lee, Yung-Sheng;Chang, Hsin-Yi
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.10 no.2
    • /
    • pp.444-461
    • /
    • 2016
  • A power-saving mechanism for smartphone devices is developed by analyzing the features of data that are received from Internet of Things (IoT) sensors devices to optimize the data processing policies. In the proposed GreenIoT architecture for power-saving in IoT, the power saving and feedback mechanism are implemented in the IoT middleware. When the GreenIoT application in the power-saving IoT architecture is launched, IoT devices collect the sensor data and send them to the middleware. After the scanning module in the IoT middleware has received the data, the data are analyzed by a feature evaluation module and a threshold analysis module. Based on the analytical results, the policy decision module processes the data in the device or in the cloud computing environment. The feedback mechanism then records the power consumed and, based on the history of these records, dynamically adjusts the threshold value to increase accuracy. Two smart living applications, a biomedical application and a smart building application, are proposed. Comparisons of data processed in the cloud computing environment show that the power-saving mechanism with IoT architecture reduces the power consumed by these applications by 24% and 9.2%.

Clustering-Based Federated Learning for Enhancing Data Privacy in Internet of Vehicles

  • Zilong Jin;Jin Wang;Lejun Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.18 no.6
    • /
    • pp.1462-1477
    • /
    • 2024
  • With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

Design of Query Processing based on Profiles for Efficient Searching Events (효율적인 이벤트 검색을 위한 프로파일 기반 질의 처리 방법)

  • Kim, ChangHoon;Kim, TaeYoung;Kim, JongMin;Ban, ChaeHoon;Kim, DongHyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2009.10a
    • /
    • pp.249-252
    • /
    • 2009
  • Recently, it is possible for users to acquire necessary data easily as the various schemes of the searching information are developed. Since these data rise continuously like stream data, it is required to extract the appropriate data for the user's needs from the mass data on the internet. In the traditional scheme, they are acquired by processing the user queries after the occurred data are stored at a database. However, it is inefficient to process the user queries over the large volume of continuous data by using the traditional scheme. In this paper, we propose the query processing scheme to extract the data efficiently for the user requirements from the large volume of continuous data. On the proposed scheme, we present the Event-Profile Model to define the data occurrence on the internet as the events and the user's requirements as the profiles. We also show the filtering scheme to process the events and the profiles efficiently.

  • PDF

Technique of Serving 3D GSIS Data on the Internet (인터넷3D GSIS를 위한 3차원 데이터의 효율적 구축 및 생성방안)

  • Kang, In-Joon;Lee, Jun-Seok
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.10 no.1 s.19
    • /
    • pp.19-26
    • /
    • 2002
  • To provide 3D GSIS data on the internet, 3D data structures need to be researched and applied for spatial analysis for subsurface modeling. As for GSIS software R&D trend the following things have pointed out : 3-dimensional geo-processing technologies, internet-based application system development, distributed processing technologies for large volume of spatial information, real-time geo-data processing methodologies, Among them research scope within Internet-based application system or Web-based GSIS generally contains core parts of software development such as Internet application, large volume of spatial database handling, real-time spatial data processing, spatial data transfer and transformation, and volumetric display of processing results. This study shows the method of providing 3D GSIS on the internet using VRML model, which are made of DEM data, draped aerial photo, and VRML script programming. And it is also studied that offering 3D GSIS engine on the internet and precise texture mapping using satellite image and aerial photos.

  • PDF