scholarly journals Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things

2021 ◽  
Vol 38 (4) ◽  
pp. 1237-1244
Author(s):  
Dan Chen ◽  
Jiali Tang ◽  
Haixu Xi ◽  
Xiaorong Zhao
Keyword(s):  
Internet Of Things ◽  
Image Fusion ◽  
Image Recognition ◽  
The Internet ◽  
Single Shot ◽  
Laplacian Pyramid ◽  
Fusion Algorithm ◽  
Modern Agriculture ◽  
Fruit Maturity ◽  
The Internet Of Things

The accurate judgement of fruit maturity is significant for modern agriculture. At present, few scholars have monitored and recognized fruit maturity based on the Internet of things (IoT) and image recognition technology. Therefore, this paper explores the image recognition of fruit maturity in the context of agricultural Internet of things (IoT). Firstly, the single shot multi-box detection (SSD) algorithm was improved for fruit recognition and positioning, and used to determine the size and position the fruits to be recognized. Next, an image fusion algorithm was designed based on improved Laplacian pyramid, which effectively compresses the large fruit monitoring images shot in the same scene. The proposed algorithm was proved feasible and effective through experiments.

A Location-Aware Architecture for an IoT-Based Smart Museum

2020 ◽  
pp. 413-432
Author(s):  
Giuseppe Del Fiore ◽  
Luca Mainetti ◽  
Vincenzo Mighali ◽  
Luigi Patrono ◽  
Stefano Alletto ◽  
...  
Keyword(s):  
Internet Of Things ◽  
User Experience ◽  
Image Recognition ◽  
Innovation Process ◽  
Modern Society ◽  
The Internet ◽  
Indoor Location ◽  
Location Aware ◽  
Art And Culture ◽  
The Internet Of Things

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).

scholarly journals Security Technology of Wireless Sensor Internet of Things Based on Data Fusion

2017 ◽  
Vol 13 (11) ◽  
pp. 25
Author(s):  
Jie Zhang
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Original Data ◽  
Wireless Sensor ◽  
The Internet ◽  
Fusion Technology ◽  
Security Technology ◽  
Fusion Algorithm ◽  
The Impact ◽  
The Internet Of Things

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">In order to prove the effect of data fusion technology in the Internet of things, a wireless sensor Internet of things security technology based on data fusion is designed, and the impact of data fusion in the field of communication technology is studied. Therefore, two security fusion algorithms are designed on the basis of analyzing and comparing the advantages and disadvantages of various security fusion algorithms, namely, data security fusion algorithm EDCSDA and approximate fusion algorithm PADSA. By analyzing the probability distribution model of the data collected by the nodes, the disturbance data is superimposed on the original data to hide the effect of the original data. A test bed system for perception layer of the Internet of things is designed and implemented. The test results prove the feasibility of the two algorithms. Meanwhile, it shows that the two algorithms can reduce the transmission overhead of the network while guaranteeing the security. Based on the above finding, it is concluded that data fusion technology is very effective for improving network efficiency and prolonging the network life cycle as one of the key technologies in the perception layer of Internet of things.</span>

Application in Data Fusion of Internet of Things Based on the KL Distance of Reputation Model

2013 ◽  
Vol 760-762 ◽  
pp. 587-591 ◽  
Author(s):  
Xu Ping Zhu
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Interconnection Network ◽  
Limited Resource ◽  
The Internet ◽  
User Privacy ◽  
Fusion Algorithm ◽  
Other Information ◽  
Reputation Model ◽  
The Internet Of Things

The Internet of Things is a bearer network based on the Internet, the traditional telecommunications network, wireless self-organizing networks etc, so that all can be individually addressable ordinary physical objects to achieve the interconnection network. The Internet of Things is evolved from the wireless sensor network, which has limited resource in energy, memory, calculation, bandwidth and etc,. In addition, many applications in the Internet of Things are related to user privacy. In the process of data collection and transmission, the data may be forged , tampered, and a variety of other information security threats. In order to extend the network lifetime, to protect the authenticity and reliability of data fusion, this paper presents a reputation model of data fusion algorithm. The algorithm is verified by simulation, the experimental results show that the proposed algorithm is effective and the result of data aggregation is reliable.

A Location-Aware Architecture for an IoT-Based Smart Museum

2016 ◽  
Vol 12 (2) ◽  
pp. 39-55 ◽  
Author(s):  
Giuseppe Del Fiore ◽  
Luca Mainetti ◽  
Vincenzo Mighali ◽  
Luigi Patrono ◽  
Stefano Alletto ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Image Recognition ◽  
Innovation Process ◽  
Modern Society ◽  
The Internet ◽  
Indoor Location ◽  
Location Aware ◽  
Technological Improvement ◽  
Art And Culture ◽  
The Internet Of Things

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).

scholarly journals Cloud Computing Image Recognition System Assists the Construction of the Internet of Things Model of Administrative Management Event Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Peikun Xie ◽  
Enchen Ma ◽  
Zaihua Xu
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Spatial Structure ◽  
Image Recognition ◽  
Recognition System ◽  
The Internet ◽  
Fusion Method ◽  
Application Layer ◽  
Administrative Management ◽  
The Internet Of Things

In order to successfully apply the Internet of Things and cloud computing to the administrative management of spatial structures and realize the systematization, digitization, and intelligence of administrative management, this article draws on research experience in related fields and considers the data characteristics and computing tasks of administrative management. The whole cycle of transmission, storage, postprocessing, and visualization is the main line of research, and a cloud computing-based spatial structure administrative management IoT system is constructed. First, by summarizing the application status of the Internet of Things, the general Internet of Things system is summarized into three levels, and combined with the specific work in the spatial structure administrative management, the overall framework of the spatial structure administrative management of the Internet of Things system is proposed, and the functional sublayers are carried out. Secondly, in response to the above problems, through the traditional image recognition system research and practical application investigation, in order to meet the user’s requirements for the computing efficiency and recognition accuracy of the image recognition system, an image recognition system in the cloud computing environment is proposed. It proposes a fuzzy evaluation algorithm of health grade hierarchy analysis optimized for the index system and scoring system and a calculation method that uses time series to identify regular outliers. The optical image pixel-level fusion method and the infrared and visible image fusion method based on complementary information are proposed, and the image fusion software is developed. Finally, in order to enable the application layer to use cluster resources to efficiently and intelligently process massive monitoring data containing redundancy, heterogeneity, anomalies, and many other defects, according to the calculation process of each specific task of data preprocessing and postprocessing in the application layer, demonstrations are made one by one. After analysis, it is concluded that vertical storage of data blocks according to different sensor channels is the optimal strategy.

scholarly journals Intelligent Building Data Fusion Algorithm by Using the Internet of Things Technology

2021 ◽  
Vol 2143 (1) ◽  
pp. 012030
Author(s):  
Duo Peng ◽  
Jingqiang Zhao ◽  
Tongtong Xu
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Minimum Variance ◽  
The Internet ◽  
Fusion Algorithm ◽  
Intelligent Building ◽  
Variance Matrix ◽  
Optimal Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract Analyzed in this paper based on the Internet of things technology for intelligent building data, redundancy of data fusion are pointed out, based on the dynamic Kalman filter algorithm of multi-sensor fusion, first using the theory of fuzzy and covariance matching technique to adjust the noise covariance of traditional algorithm, combined with weighted minimum variance matrix under the optimal information fusion algorithm of data fusion, Finally, the simulation results show that this algorithm can effectively reduce the redundancy of intelligent data and make the estimated value of data fusion more close to the actual value.

The Study of Siltation State Assessment Method of Urban Sewer Network Based on the Internet of Things

2014 ◽  
Vol 668-669 ◽  
pp. 1430-1433
Author(s):  
Cui Qing Jiang ◽  
Rui Ya Wang ◽  
Fa Xiang Chen ◽  
Zhao Wang
Keyword(s):  
Internet Of Things ◽  
Evaluation Method ◽  
Assessment Method ◽  
Assessment Model ◽  
The Internet ◽  
Fusion Algorithm ◽  
Weighted Fusion ◽  
Sewer Network ◽  
Data Acquisition Program ◽  
The Internet Of Things

To provide siltation state information for dredging of urban sewer network, an evaluation method of siltation state based on data collected through the Internet of things is proposed. We present a data acquisition program, and use the adaptive weighted fusion algorithm as a data preprocessing method. Based on Manning formula, an assessment model of siltation state is established. The experiment proves that this assessment model of siltation state is effective for sewer network.

Research on Industrial Field Diagnostics and Management System Based on the IOT

2011 ◽  
Vol 63-64 ◽  
pp. 765-769 ◽  
Author(s):  
Jing Zhao Li ◽  
Jian Cheng ◽  
Xing Jin
Keyword(s):  
Internet Of Things ◽  
Information Fusion ◽  
Management System ◽  
Fault Isolation ◽  
The Internet ◽  
Fusion Algorithm ◽  
Diagnosis And Management ◽  
Management Functions ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Industrial field diagnosis and management system based on the Internet of things which has advanced technologies and perfect functions was designed, through the analysis on industrial field diagnosis technology, information fusion methods and the framework of industrial the Internet of things,. Field fault detection, fault diagnosis and fault isolation and the structures of the sensing layer, the middleware layer and the application layer of the Internet of things of industrial as well as information fusion algorithms of data level, feature level and decision level were made to correspond to each other and site diagnosis knowledge, the Internet of things technology and information fusion algorithm were used to achieve remote monitoring center or handheld terminal on site for industrial site diagnosis and management functions. A good solution was provided for equipment manufacturers and industrial applying the Internet of things to do site diagnosis and management.

scholarly journals Heracles: A Context-Based Multisensor Sensor Data Fusion Algorithm for the Internet of Things

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 517
Author(s):  
Flávia C. Delicato ◽  
Tayssa Vandelli ◽  
Mario Bonicea ◽  
Claudio M. de Farias
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Smart Cities ◽  
Sampling Rate ◽  
Value Added ◽  
Sensor Data ◽  
The Internet ◽  
Fusion Algorithm ◽  
The Internet Of Things ◽  
Analyze Data

In the Internet of Things (IoT), extending the average battery duration of devices is of paramount importance, since it promotes uptime without intervention in the environment, which can be undesirable or costly. In the IoT, the system’s functionalities are distributed among devices that (i) collect, (ii) transmit and (iii) apply algorithms to process and analyze data. A widely adopted technique for increasing the lifetime of an IoT system is using data fusion on the devices that process and analyze data. There are already several works proposing data fusion algorithms for the context of wireless sensor networks and IoT. However, most of them consider that application requirements (such as the data sampling rate and the data range of the events of interest) are previously known, and the solutions are tailored for a single target application. In the context of a smart city, we envision that the IoT will provide a sensing and communication infrastructure to be shared by multiple applications, that will make use of this infrastructure in an opportunistic and dynamic way, with no previous knowledge about its requirements. In this work, we present Heracles, a new data fusion algorithm tailored to meet the demands of the IoT for smart cities. Heracles considers the context of the application, adapting to the features of the dataset to perform the data analysis. Heracles aims at minimizing data transmission to save energy while generating value-added information, which will serve as input for decision-making processes. Results of the performed evaluation show that Heracles is feasible, enhances the performance of decision methods and extends the system lifetime.

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