Information Collection Module Research Articles

ERT-EDR: Online defense framework for TCP-targeted LDoS attacks in SDN

The Low-rate denial of service (LDoS) attack is a variant of denial of service (DoS) attack that exploits low overhead to render target services unreachable for legitimate users. Unlike legacy networks, software-defined networking (SDN) separates the behavior of controlling and forwarding, providing excellent programmability to achieve real-time defense against LDoS attacks. Leveraging the potential of SDN’s programmability, we propose a real-time anomaly defense framework tailored for SDN, named ERT-EDR. This framework is capable of detecting and mitigating TCP-targeted LDoS Attacks and comprises three modules: (1) The Information Collection Module. It periodically samples the traffic statistics for analysis. (2) The LDoS Attack Detection Module. It combines six features of traffic statistics and utilizes the Extremely Randomized Trees (ERT) algorithm to detect. (3) LDoS Attack Mitigation Module. It locates attacked ports with the Edit Distance on Real sequence (EDR) algorithm and installs flow table entries to filter attack traffic.Extensive experiments are conducted under various background traffic scenarios to validate the effectiveness and scalability of ERT-EDR. The results demonstrate that ERT-EDR can effectively detect TCP-targeted LDoS attacks with 96.4667% accuracy and 96.4977% F1score. Furthermore, it accurately identifies the attacked port and successfully mitigates attacks.

A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion

In the human-machine system of armored vehicles, the cognitive performance state of crews is crucial for the personnel security and combat efficiency. The purpose of this research was to establish a real-time assessment system for cognitive performances of armored vehicle crews, consisting of the data input module, data processing module, data visualization module, and scheduling module. Forty subjects were recruited to cooperate and execute the cross-platform strike task in a virtual simulation platform. The physiological data and operation behavior data was collected during the experiment process. To realize the accurate classification of different cognitive performance states, a multi-source information fusion algorithm was developed based on linear discriminant analysis (LDA) and D-S evidence theory, which included the information collection module, the feature extraction module, and the information fusion module. The results indicated that there existed a significant correlation between the extractive feature indicators (i.e., EOG, ECG, and task performance indicators) and the cognitive performance. The recognition accuracy and the data efficiency of the proposed assessment system were 91.25% and 96.69% respectively by using the complementarity of different evidences, which were higher than the others using partial information sources. This study can provide a reference for the comprehensive assessment of cognitive performance of human operators in military and industrial domains.

Analysis of Cargo Sorting Robot Based on Multiple Photoelectric Sensors

With the rise of e-commerce, dangerous goods such as flammable and explosives carried in logistics goods have a negative impact on the development of the logistics industry and seriously threaten staff safety. Infrared is widely used in the logistics cargo security inspection system, which can detect the goods’ shape and internal temperature and analyze the type of goods through spectra. These characteristics help to determine whether it is a hazardous material. In this research, a photoelectric intelligent sorting robot based on an infrared sensor and a Charge Coupled Device (CCD) sensor is designed. The robot’s hardware system is first developed, and then its important components’ model selection is made. The cargo loading module is designed according to the size of the cargo to be sorted. The cargo information collection module comprises multi-infrared sensors and CCD sensors, and the robot’s hardware is logically connected. In the sorting process, the cargo information is required for model training, the SSD_inception network model is used for training, and the Sort_target data structure is defined to label different cargo information. In the test, the design-based robot, with the increase of measurement distance, the relative distance error of detecting cargo shows an increasing trend, but the error is within 5%. The cargo ID can be determined through the information received by multiple photoelectric level sensors, and they are placed in the designated area, thus successfully achieving the sorting of cargo.

Analysis of Data Coupling Mode of On-Board Information Acquisition and Communication

This paper studies the research status and development trend of the Internet of Vehicles and vehicle information acquisition system. According to the basic functional requirements and basic design principles of the vehicle information acquisition system, the overall design scheme of the system is proposed. The key technologies used in the system design are also studied Provide convenience for vehicle positioning and navigation services. In order to facilitate the intelligent dispatching of intelligent public transport vehicles, the information collection module designed by the system provides the collection of various information of vehicles, such as the number of people on board, the opening and closing of doors, fuel consumption and driving status. In this way, the control center can formulate corresponding more intelligent scheduling strategies, and manage vehicle operation more effectively and conveniently.

Cross-domain management system of real estate sales information based on blockchain

In the existing real estate sales information management system, the efficiency of information cross-domain management is low, and the information security is poor. The whole architecture of real estate sales information system includes sales information collection module, intelligent contract execution module and real estate information encryption module. The discrete wavelet transform method is used to fuse similar data, and the intelligent contract is designed according to the data fusion results, and all sales information is encrypted. Then the trust model of blockchain certificate authorisation centre is designed, and the final result is verified with real estate sales information access cross-domain authentication and real estate sales information cross-domain management system design. The experimental results show that the safety factor of the system data designed in this paper can reach 0.99, and the system response delay is about 0.5 s.

Development and Application of Intelligent Temperature Control System for Large Aqueduct

When the temperature rise and fall rates of a large-scale aqueduct with traditional water-cooling technology exceeds the standard, it is difficult to avoid the temperature change of aqueduct concrete deviating from its control curve in the process of temperature rise and fall by adjusting the water flow rate or cooling the water temperature of a water pipe only by manual experience. Aiming at such problems, an intelligent temperature control system for a large aqueduct body is developed and applied, which is composed of an information processing and decision-making module, simulation calculation module and information collection and control module, with real-time interactive information and real-time update of the temperature change control curve. The system is applied to the 1:30 Dongjia Village Aqueduct model experiment. The model experiment results show that the system can automatically adjust the water flow velocity of concrete according to the temperature variation control curve, and update the temperature variation control curve according to the changes of environmental parameters and cooling water parameters.

INFORMATION-ANALYTICAL SYSTEM FOR EVALUATING THE SCIENTIFIC PERFORMANCE OF STRUCTURAL UNITS OF UNIVERSITIES AND RESEARCH INSTITUTES BASED ON THE APPROACH OF CONSTRUCTING COMPLEX INTEGRAL EVALUATION

The article discusses the creation of an information-analytical system for evaluating the scientific performance of structural units of universities and research institutes based on the approach of constructing complex integral evaluation. A model of information technology for evaluating the results of scientific activity is proposed, consisting of four modules: an information collection module, an information storage module, an analytical module, and a module for user interaction and data visualization. The modular structure of the technology will allow expanding and modifying the capabilities of each of the modules independently of the others, as well as increasing the stability and flexibility of the technology. The implementation of this system is performed using microservices technology. A conceptual model of the information system and a structural model of the functioning of the information collection module, as well as a structural model of the information system database, are proposed.
 It is shown that most of the well-known indices for evaluating the performance of subjects of scientific activity, for example, h-index, g-index, e-index, I-10 index, etc., do not fully take into account information about citation. Therefore, the method for calculating the evaluation of scientific research activities of scientists was proposed, which does not lose information about any citation of the author and publication. This method determines the scalar evaluation of the results of scientific activity, and it is based on determining a few coefficients. The coefficients define one scientist's citation in the publications of other scientists. As a result, assessment is obtained by solving a system of linear algebraic equations that are constructed based on calculated coefficients. Most of the known evaluation approaches have their own calculation features and disadvantages, which are associated with the loss of some information. Therefore, it is not recommended to give preference to one of them. For the purposes of a comprehensive assessment of the productivity of research activities of scientists, the authors proposed a method of vector evaluation of the results and the construction of the integral assessment. This method is based on the construction of vectors and scalar estimates for each scientist in a multidimensional metric space. The dimensionality of the space is determined by the number of calculated scalar estimates. The method is also based on the construction of an ideal point, which consists of scalar estimates that are the best in terms of achieving maximum performance. The assessment of each subject of scientific activity is calculated as the metric distance from the ideal point to the vector of scalar estimates of this subject of scientific activity.

Design of Artificial Intelligence Epidemic Big Data Prevention and Control Early Warning System

The artificial intelligence epidemic big data prevention and early warning system of the project includes client, cloud database, information acquisition module and information processing module. The client communicates with the cloud database, the cloud database connects with multiple information collection modules, and the cloud database communicates with multiple information processing modules. The client is used for backstage personnel to watch the information, As well as the feedback and display of background information, the cloud database is used to store the information entered by the information collection module, and the information processing module is used to compare and process the information entered by the information collection module. This project involves the field of epidemic prevention and early warning technology. The artificial intelligence epidemic big data prevention and control early warning system solves the problem that the existing epidemic big data early warning system is inconvenient for real-time detection of health monitoring, personnel positioning and trajectory tracking.

Design of IoT Sensor Terminal Based on RFID and Wi-Fi Technology

The Internet of Things has penetrated into all aspects of human production and life. This article has developed an Internet of Things sensing terminal based on RFID and Wi-Fi technology. This article uses the information management function provided by RFID electronic tags and the convenient networking function provided by Wi-Fi to design. We introduced the system performance requirement analysis and system architecture design. Starting from the selection of the S5PV210 processor and each module, as well as the communication interface between each module and the processor, we design the overall terminal hardware architecture. According to the Android architecture, the porting and development of related hardware module drivers, the design of intermediate programs, and the design of the JNI communication interface of the information acquisition module are introduced. The design of the Android upper-level UI program of each module and the PC upper computer GUI program and the performance test of each information collection module have been completed.

Research on university laboratory management and maintenance framework based on computer aided technology

The management and maintenance of university laboratory is an important part of university work. With the rapid development of computer technology, computer-aided technology is widely used in the management and maintenance of university laboratories. This paper first analyzes the current situation of university laboratory management and maintenance, and points out the importance of computer-aided technology to manage and maintain university laboratory. Then, through the introduction of the Internet of things, the information collection, sensor technology, and other modules are used to build the university laboratory management system. Finally, by giving the credit security evaluation model of university laboratory management, the experiment of university laboratory security maintenance is completed on the data of different years. The experimental results show that the model constructed in this paper can evaluate the security situation of university laboratory management well. Through the use of the management framework and safety assessment and maintenance model, colleges and universities can ensure the orderly operation of the laboratory, through effective management and data analysis, reduce the potential safety hazards in the laboratory, and avoid unnecessary security problems.

RETRACTED ARTICLE: Research on core strength training of aerobics based on artificial intelligence and sensor network

The traditional training system based on case teaching is according to the analysis of past competitions and training cases to carry out the strength training of aerobics special movements. The training results cannot be evaluated intelligently and accurately, and the performance of dynamic analysis is poor. To address this problem, the core training system of strength quality of aerobics special movements based on artificial intelligence is designed to realize the intelligent training of the strength quality of aerobics special movements. Through the study of fuzzy paradigm system, intelligent functions such as optimization and decision-making of intelligent fuzzy network are realized. The design system architecture framework includes the modules of sensor, receiver, database, and analysis decision. The core chip of the system is the main control module of Atmega1280 MCU for man-machine interaction, so as to realize the comprehensive training of the strength quality of aerobics special movements. Information collection module is used to collect information on strength training information such as instrument, movement, and language. The problem of phase distortion in signal transmission process is processed by FIR filter. Through information management module, trainee information management and training results statistics and queries are implemented. In the system software part, the system software structure diagram and system startup and landing procedure are given. By analyzing the working process of the module, the strength of aerobics special movements is analyzed. Experimental results show that the designed system can achieve real-time and stable strength training for aerobics special movements and improve training efficiency.

Design of Geographic Information Visualization System for Marine Tourism Based on Data Mining

Zhu, W.; Hou, Y.; Wang, E., and Wang, Y., 2020. Design of geographic information visualization system for marine tourism based on data mining. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1034–1037. Coconut Creek (Florida), ISSN 0749-0208.This paper presents a design scheme of marine tourism geographic information visualization system based on big data fusion and B/S architecture. The software development design of marine tourism geographic information visualization system is carried out under embedded Linux kernel and B/S architecture. The algorithm design of sea tourism geographic information visualization is carried out by using big data mining and fuzzy information fusion clustering method. The software design consists of marine tourism geographic information collection module, marine tourism geographic information BIM reconstruction module, database module, marine tourism geographic information interaction module and integrated information processing module, etc. The basic database structure of marine tourism geographic information visualization system is constructed under the B/S structure system, and program loading and automatic compilation design are adopted to realize the software development of marine tourism geographic information visualization system under bus control and embedded environment. The test results show that the information integration and processing ability of marine tourism geographic information visualization is strong, the visualization information fusion and mining performance of marine tourism are good, and the result of visual analysis of marine tourism geographic information is stable and reliable.

Network Intrusion Monitoring Technology Based on Decision Tree Method

In order to solve the problem of poor real-time network security intrusion detection, this paper proposes a network intrusion monitoring technology based on decision tree method. Firstly, the network intrusion monitoring module is set up in the existing network topology model, then the network information collection, information processing and information analysis modules are combined. Finally, the decision tree method is used to identify the abnormal data, effectively realize different types of abnormal data monitoring, and finally realize the network intrusion monitoring. Experimental results show that the proposed intrusion monitoring method can better monitor network intrusion behavior, and has higher monitoring accuracy than other methods.

Effective Data-Driven Technology for Efficient Vision-Based Outdoor Industrial Systems

Vision systems are the core information collection module in outdoor industrial systems such as factory inspection robots. However, haze greatly reduces working efficiency. Existing dehazing methods have two problems-first, they are not specifically designed for the industrial systems; second, these methods include several assumptions in their design processes and imaging models, leading to unsatisfactory results. In this article, an approach for single image dehazing is proposed to improve the efficiency of outdoor vision-based systems. First, a novel haze imaging model is proposed based on the dichromatic atmospheric scattering model. It considers the effects of multiple scattering and involves fewer assumptions. Then a data-driven technique called sparse representation is used to solve this model. Considering a haze image, a distorted and blurred version of a fine image, every patch is presented using dedicatedly prepared over-complete dictionaries and is traced back to a haze-free image. Quantitative and qualitative comparisons on a number of real-world haze images demonstrate that the proposed approach not only is more stable but also leads to better dehazing results.

Students’ Professional Attainment Evaluation Software Tool Based on WeChat

This paper designs and implements a student professional attainment evaluation software tool (WeChatPE) based on the WeChat platform. The attainment evaluation tool consists of three parts, namely the information collection module, the professional attainment evaluation module and the user management module. The information collection module includes student attainment information acquisition, student job seeking information acquisition, and position and teaching resource information acquisition. Student's professional attainment can be evaluated by obtaining the above three aspects. The specific evaluation content includes evaluation of the student's learning ability, work ability and overall ability. The User Management Module contains user registration and personal information management.

WECAN: an Efficient West-East Control Associated Network for Large-Scale SDN Systems

Software-Defined Networking (SDN) has been proposed as a promising way for its centralized network control and management. However, the latest SDN research focuses on smaller network environments such as data centers and enterprises, which easily lead to single point of failure and unbalanced network load in large-scale network environments. One effective way to solve this problem is to establish a standardized mechanism between network entities such as data centers, enterprises and Internet service providers (ISPs). In this paper, we propose WECAN, an efficient West-East Control Associated Network for enabling communication between different SDN entities. WECAN has three complementary modules: Network Information Collection (NIC) module, Cross-domain Management (CDM) module and Controller Selection Management(CSM) module. NIC collects network information from a different set of controllers and generates a domain-wide network view. CDM collects domain information from other domains to generate a global network view. Base on the domain-wide network view and global network view, CSM selects the most efficient controller for each network flow in the network. To test WECAN, we develop a prototype system. Our experimental results show that WECAN can effectively control network entities to communicate, and WECAN has greatly improved network latency, network throughput and network reliability compared to a single controller-controlled network. Moreover, WECAN is very easy to use.

Bidirectional LiFi Attocell Access Point Slicing Scheme

LiFi attocell access networks will be deployed everywhere to support diverse applications and service provisioning to various end-users. The LiFi infrastructure providers will need to offer LiFi access points (APs) resources as a service. This, however, requires a research challenge to be solved to dynamically and effectively allocate resources among service providers (SPs) while guaranteeing performance isolation among them and their respective users. This paper introduces an autonomic resource slicing (virtualization) scheme, which realizes autonomic management and configuration of virtual APs, in a LiFi attocell access network, based on SPs and their users service requirements. The developed scheme comprises of traffic analysis and classification, a local AP controller, downlink and uplink slice resources manager, traffic measurement, and information collection modules. It also contains a hybrid medium access protocol and an extended token bucket fair queueing algorithm to support uplink access virtualization and spectrum slicing. The proposed resource slicing scheme collects and analyzes the traffic statistics of the different applications supported on the slices defined in each LiFi AP and distributes the available resources fairly and proportionally among them. It uses a control algorithm to adjust the minimum contention window of user devices to achieve the target throughput and ensure airtime fairness among SPs and their users. The developed scheme has been extensively evaluated using OMNeT++. The obtained results show various resource slicing capabilities to support differentiated services and performance isolation.

The Design of Information Collection System on the Internet of Things Based on MCU

In order to achieve the information collection function of the IOT, this paper is based on Embedded-ARM system, develops a terminal node hardware platform that uses S3C2440 as the core, and the hardware platform contains power supply module, processing and storage module, display and operation module, wireless communication module etc. Software platform uses Embedded Linux operating system, we transplant and produce boot loader, device drivers, the root file system, etc. On the platform of embedded system, we add MCU module, MCU module, Barcode scanning module, temperature and humidity module as the main information collection module, to realize the basic function of information collection of the IOT.

A Study on HT32F1765 MCU-Based in Smart Home Gas Monitoring

With the rapid development of today's society, air pollution is becoming one of the hottest topics of humans’ concern. Looking at the daily life, some peoples’ awareness in the dangers of indoor air pollution and household gas safety is not enough, so it may lead to a number of respiratory diseases, or "sub-health" conditions. (Such as influenza, pharyngitis and other diseases) On the other hand, some families, because of a gas leak, has not been timely warning of fires and caused the tragedy. To solve these problems, this work is designed based on low-power microcontroller as the master chip HT32F1765 100LQFP between the various smart sensors and did data exchange with the home environment monitoring system. The HT chip use as the master chip and combined with using Sharp PM2.5 gas sensors, temperature and humidity sensors, gas concentration sensor as gas sensing devices. We use all these sensors as information collection module, to collect the data information of air quality, temperature, humidity and combustible gas concentration in different rooms and different locations. The real-time data acquisition and sensor would be displayed on the touch screen. In addition, the creation of data monitoring hardware devices, as well as match the mobile phone in APP. Our users can log on the APP remotely to view home monitoring information, or to receive alarm information.. Thus, adults can safely work outside, avoiding unnecessary worry.

The Development on Information Collection System Based Internet of Things

Internet of things technology in recent years the rapid development in various fields, the systems based on the perception layer of information collection, through wired or wireless network, information transfer, finally through a variety of application platform for unified handling, control, and implementation content and content, objects and people, and all the goods and the connection of the network. This article is to the quantitative information sets the starting point, through the wireless self-organized network for data transmission, and use the embedded system to unified management of information collection module, finally achieved all the functions of Internet information collection system.