Software Part Research Articles

Design of intelligent invigilator system based on artificial vision

Aiming at the problems of high packet loss rate and low intelligent degree in the current video monitoring system for examination invigilation, an intelligent invigilator system design method based on artificial vision is proposed in this paper. The system design is divided into hardware and software parts, including a / D circuit, clock circuit, video frame cyclic error correction and coding circuit, program loading circuit and output interface circuit. The experimental results show that the system can effectively reduce the video packet loss in the process of invigilation, improve the visual coverage of the invigilator area, and the system is highly integrated and intelligent.

Electrical Device Control System Through Wi-Fi Technology

Abstract The study aims for the development of a system that allows the management and control of an electrical device, this paper is an introduction to the world of smart home / IoT and transforms non-smart equipment offering the user greater control and customizable options just by connecting the desired device to the control system. The system consists of a control board that operates two relays, the relays have the main function of opening and closing the electrical circuit. The control board consists of an AMS1117 3.3V voltage lowering module, ESP8266 microcontroller and connectors for power supply and relay control. For the software part, the IDE programming language for the Arduino microcontroller was used, being an easy to use/understand and very versatile programming language.

Accurate detection and discrimination of pollutant gases using a temperature modulated MOX sensor combined with feature extraction and support vector classification

• This work proposes a data-driven methodology for the detection and identification of multiple pollutants and their mixtures using a single MOX sensor. • The approach consists of augmenting the raw data from the sensors device by the extraction of time-domain features. • The extracted features are ranked using the ReliefF algorithm. This ranking is then used to select the best features to discriminate the pollutants. • Highly encouraging results from the Support Vector Classification demonstrate the accuracy of the proposed approach. Gas detection and discrimination have been, until recently, sensors-specific, with different sensors and techniques used for each of the gases. In this work, we describe a novel approach relying on a single physical sensor in conjunction with data-driven algorithms for detecting the presence of one of the three dangerous gases: CO, NO 2 , and O 3 individually or in mixtures. The approach uses a single Metal Oxide (MOX) sensor coupled with two heaters in its hardware part. Then, its software part uses a supervised machine learning model. The sensor is exposed to the different gases and their mixtures and would react accordingly with a change in its electric signals. These raw signals, along with the readings from the heaters, constitute the primary dataset for the discrimination. To further enhance the classification results, the raw dataset is augmented by calculating several time-domain features of each of the measurements. Then, the features are ranked, and the ones with the best results to solve the classification problem are selected. Once the pretreatment of the data is finished, the selected features are used to train and validate a multi-Support Vector Machine model. Finally, the results showcased in this paper highlight the effectiveness of the proposed approach.

Synthesizing Vulnerability, Risk, Resilience, and Sustainability into VRRSability for Improving Geoinformation Decision Support Evaluations

This paper synthesizes vulnerability, risk, resilience, and sustainability (VRRS) in a way that can be used for decision evaluations about sustainable systems, whether such systems are called coupled natural–human systems, social–ecological systems, coupled human–environment systems, and/or hazards influencing global environmental change, all considered geospatial open systems. Evaluations of V-R-R-S as separate concepts for complex decision problems are important, but more insightful when synthesized for improving integrated decision priorities based on trade-offs of V-R-R-S objectives. A synthesis concept, called VRRSability, provides an overarching perspective that elucidates Tier 2 of a previously developed four-tier framework for organizing measurement-informed ontology and epistemology for sustainability information representation (MOESIR). The new synthesis deepens the MOESIR framework to address VRRSability information representation and clarifies the Tier 2 layer of abstraction. This VRRSability synthesis, composed of 13 components (several with sub-components), offers a controlled vocabulary as the basis of a conceptual framework for organizing workflow assessment and intervention strategies as part of geoinformation decision support software. Researchers, practitioners, and machine learning algorithms can use the vocabulary results for characterizing functional performance relationships between elements of geospatial open systems and the computing technology systems used for evaluating them within a context of complex sustainable systems.

An automatic system for detecting voltage leaks in houses to save people's lives

Many people are exposed to many dangers, such as electrical leakage into parts of the home that lead to death, injury, or loss of material resources. With the great developments that happen daily in the field of technology, one of the most important examples of these developments is the Arduino. The Arduino is a company that produces a software and electronic parts that are open source for companies and students in order to design and build digital devices, design and implement projects and systems that can be linked together or linked with the Internet to facilitate their use to serve society and humanity. It became easier to deploy this technology to solve problems that put people at risk. Many systems that detect leakage of gas, liquids and fires were built using these modern technologies to protect the lives of people and their resources, but no one has actually used these technologies to detect unexpected electrical voltage leaks into the home's water network or walls that resulting from damage in some parts of electrical devices. Therefore, in this paper, we have proposed and designed a system that can detect an unexpected voltage leak from some electric devices to the water network or walls in houses, alarm of house owners by sound, and cut off the electrical current to the house in order to save people's lives and resources.

Design of simulation system for trajectory of ship

In order to master the ship’s navigation dynamics in advance and take effective actions to avoid ship collision with bridge, a simulation system of ship’s navigation trajectory is designed. The hardware part designs the ship operation controller, defines the controller pin function and connects the peripheral circuit. In the software part, Kalman filter algorithm is used to eliminate the interference in the attenuation process, calculate the trajectory of the ship, and complete the design of the system. Through setting up the experimental environment, controlling the ship navigation environment parameters, using the measuring instrument to measure the deviation value under the experimental environment as the standard value, the simulation experiment is carried out by using the system described in this paper. The results show that the minimum deviation value error of the simulation system designed in this paper can reach 0.1M, and has high simulation accuracy, which can provide support for marine safety prevention work By reference.

Hardware in the loop simulative setup for testing the combined heat power generating wind turbine

This paper describes the design and implementation of hardware in the loop (HIL) system based on induction motor wind turbine emulator for the study of the operation of a combined heat-power (CHP) generating wind energy conversion system (WECS). The energy generation part of the WECS consists of two specially designed generators that are placed on a common vertical axis, which is connected to the induction motor through a gearbox. The first generator is an electric two-armature axial PMSG and the second one is a thermal electromagnetic retarder. The software part of the HIL setup simulates the interaction of the wind flow with a vertical axis wind turbine (VAWT) and is implemented in a programmable logic controller based on the model developed in the MATLAB/Simulink. The results of experimental studies of the CHP WECS with the created HIL simulative setup at both constant and turbulent wind speeds have shown good agreement with the corresponding results of computer simulation. The created HIL simulative setup will be used for the development of an energy management system for CHP WECS.

Photovoltaic-Based Intelligent Search and Rescue Trolley

For the search and rescue work after the earthquake or the exploration of unknown areas, a photovoltaic-based intelligent search and rescue device was designed. A hardware platform for a car automatic driving system controlled by an STM32 single-chip microcomputer based on an ARM core is constructed, which consists of a photovoltaic auxiliary power generation module, a power supply module, a main controller module, obstacle detection, a motor drive module, a speed detection module, and a video transmission module. And constructed a software platform based on ARM core STM32F103 single-chip microcomputer controlled automatic control system. Finally, through the joint debugging of the hardware and software parts of the photovoltaic intelligent search and rescue equipment, the stability and feasibility of the system were verified, and the functions of photovoltaic-assisted power generation, manual control, autonomous obstacle avoidance, and video transmission of the car were realized.

Underwater images contrast enhancement and its challenges: a survey

Exploration of the deep sea and ocean in the marine industry has continued to gain interest in recent years. To get the detailed imaging of deep sea layers, marine vessels and robots are fitted with advanced imaging technologies. There are certain factors like water properties and impurities that affect the quality of the photographs captured by the underwater imaging devices. As sea water absorbs colors, so processing of sea imaging data becomes more challenging. Water light attenuation is a phenomenon that is caused by the absorbance and scattering factors. Certain studies showed that the existence of certain intrinsic shortcomings are attributed to the appearance of objects and ambient noise in underwater images. As a result, it is difficult in a real-time system to distinguish objects from their surroundings in these images. We measures the algorithms performance with respect to various aspects, effect of the hardware and software parts for underwater images and critical review of different underwater image enhancement algorithms. First, we describe some well-known techniques of spatial and frequency domains. Then, we list the existing quantitative measurements which are required to measure the quality of the enhanced image. Finally, the performance of various up-to-date existing methods is compared based on the outcomes of standard quantitative measurements, and factors such as requirements/suitability, and technical aspects, are included. Furthermore, a variety of image databases used for image contrast enhancement is discussed in detail. This study expands the scope for other researchers to understand the important characteristics of different underwater image contrast enhancement methods, and also provides future research directions.

APPLICATION OF MATHEMATICAL MODELING OF THE AIRCRAFT STRUCTURES STRESS STATE TO OPTIMIZE CORROSION DAMAGE REMOVAL

During the long-term aircraft operation, corrosion damage occurs on the aircraft structure. This leads to reducing of construction strength, rigidity and durability. Due to this corrosion damage removal and paintwork restoration are performed during the maintenance operation. During the corrosion damage removal not only corrosion products, but the material partially untouched by corrosion are removed as well. As a result, the cross-sectional area is reduced. This causes the increase of the stresses and decrease of the construction strength, rigidity and durability. However, it is impossible to refuse the removal of corrosion damage, but it is possible to optimize the stripping area parameters. The purpose of this paper is to solve the problem by applying mathematical modeling of the aircraft structures stress state by using open source software based on a finite element method (FEM). For preprocessing (creating geometry of the model, meshing) such software as FreeCAD, Gmsh, SALOME can be used, for processing (computation) – Code_Aster, which is included in SALOME-MECA software, for post processing (calculations visualization) can be used Post-Pro, which is also a part of SALOME-MECA software. Before the conducting computational experiments on the topic of this study the adequacy of the above mentioned software was checked. For this, the test problem of stress concentration in a plate with a circular hole – Kirsch task – was solved. At the same time, it was possible to achieve inaccuracy not exceeding 3%, due to this the adequacy of the selected software was considered as sufficient for conducting computational experiments in order to solve the problem. A technique of optimizing the removal of corrosion damage in aircraft structures was developed. It was demonstrated on a specific example of optimization of a plate corrosion damage stripping. After removal of the corrosion damage the minimum of the effective stresses was chosen as a criterion for optimality of the stripping area. In order to generalize the obtained results, the concept of the relative parameter of stripping was introduced which is the ratio of the stripping diameter to the depth of the corrosion damage. A number of computational experiments showed that there was an optimal value of the relative parameter of stripping, where a minimum of stresses acting in the plate after stripping was realized thus providing for the maximum possible durability of the structure after repair.

Automation of Archival Documents Meta Tagging

The main goal of this project is to create a corpus of documents from the «Mikhailovsky stanichny ataman» archival fund. The methods of corpus linguistics seem to be the most optimal in this case, since they involve the processing of a large number of texts in order to solve a wide variety of linguistic problems. Our group joined the team of philologists to provide the technical and software part of the project. The main task for us is to create a document corpus engine, that is, software that solves the tasks of storing a database of marked-up texts, executing queries to this database, and also providing users with a convenient interface for work that does not require special qualifications in the field of information technology. However, it is necessary to prepare documents for inclusion in the corpus: all texts must undergo special markup. There are many types of markup, and in the previous publications [6; 9] our group has already described the solution to the problem of morphological tagging. This article is about meta tagging. Meta tagging refers to the assignment of certain descriptive attributes to text. In the case of office documents, these are such parameters as the type of document (genre), author (compiler), addressee, date and place of creation. Meta tagging is necessary for the implementation of the corpus search features, so that the researchers can receive text samples with specified external parameters: for example, texts of a certain type, created at a certain period, addressed to a certain addressee, etc. The archives of the «Mikhailovsky stanichny ataman» fund mainly contain documents from the Chanceries of the Don Army from the mid-18th to the first third of the 19th century, that’s why there are not so many varieties of these documents. Moreover, these are mostly official documents, and they were written up according to certain templates, forms, the parameters of which can be relatively easily extracted from documents through preliminary analysis. This work is also carried out by the team of philologists from VolSU under the guidance of Professor O.A. Gorban. The result of their systematization of documents was the description of special speech markers of genre parameters for all document types in the archive. Thus, in our case, there is no need for heavy methods of statistical analysis or machine learning, it is enough to search for certain markers in the document. Moreover, the main marker in all reviewed documents is a direct indication of their type. Other markers are auxiliary elements of meta tagging. The paper is devoted to the description of the created application for determining the type of a document and its meta tagging by searching the text for certain regular expressions derived from the markers.

Numerical simulation of structural damage subjected to the near-field underwater explosion based on SPH and RKPM

In the present work, numerical simulation of structural damage subjected to the near-field underwater explosion is carried out by coupling the SPH and RKPM. The fluid solver is established based on the compressible SPH method, while the dynamic response of the structure is calculated based on the RKPM shell formulation. Since large deformation with contact will occur in the underwater explosion problem, a contact detection algorithm for the RKPM shell formulation is proposed. The contact force is calculated based on the volume strain. The fluid-structure interaction solver is established by adopting the normal-flux method, in which the structure is treated as a moving solid boundary for the fluid domain, while the fluid pressure is considered as the load act on the structure surface. Thus, the numerical model for the simulation of structural damage analysis in the underwater explosion is obtained, which is a part of the FSLAB software developed by the FSI laboratory of Harbin Engineering University. Finally, several numerical examples are studied to verify the robustness and accuracy of the present numerical model.

A Generic Streaming Software Platform Design for High-Energy Physics Data Acquisition Systems

The data acquisition (DAQ) system is a vital component in the high-energy physics experiment. To reduce duplication of work during development and improving efficiency, D-Matrix-S, a generic platform, has been developed as the software part of a software and hardware combination streaming DAQ system. D-Matrix-S is based on stream processing. Its philosophy is to abstract different tasks in the stream processing and encapsulate them as reusable modules with standard intermodule connectors. Furthermore, customizable DAQ systems could be built by calling appropriate modules and connecting them freely. D-Matrix-S adopts a layered design method during its development. The underlying construction is divided into stream source layers, stream transport layer, and stream processing layer. In the source layer, all types of data sources are streamed to help build a unified transmission model. The transport layer in a software environment achieves efficient and flexible stream transmission through dual shared memory space and plug-in transceivers. As for the processing layer, some common services for high-energy physics experiments such as configurable, generic event building, and multiroot, tree-like slow controlling are provided by the combination of standard modules. This article presents the design philosophy of a generic DAQ system and optimization made to improve flexibility and provides an application of the D-Matrix-S platform in the end.

Reliability-driven Automotive Software Deployment based on a Parametrizable Probabilistic Model Checking

Embedded systems span a wide range from a small platform of sensors and actuators to distributed systems combining several interacting nodes. Designing such systems includes hardware parts and software parts. The software part acquires in importance since it handles the resources and services to interact with the hardware part. The paper introduces a novel deployment-decision making based on PRISM probabilistic model checker that takes software components and the physical platform to produce a set of deployment candidates. Starting from System Modeling Language (SysML), the process includes mechanisms to extract hardware and software features and carry out a set of deployment candidates. Each candidate should satisfy the reliability property written in Probabilistic Computation Tree Logic. Formally, we capture the underlying semantics of software blocks behaviour expressed as an activity diagram and their generated PRISM code to prove the approach soundness. Illustration relies on the automotive control system to show the applicability of the proposed approach.

RETRACTED: Analysis of cross-border E-Commerce logistics model based on embedded system and genetic algorithm

Cross-border e-commerce is a challenge in the logistics sector because of this dynamic market. It means hiring sea and air cargo partners, customs brokers, warehousing operators, regional logistics partners, and all other stakeholders at the Operations Department. Refers to online transactions between cross-border e-commerce companies (retailers and brands) and consumers, both companies, often brands and wholesalers, or between two individuals. Using embedded system to design can achieve the balance of software and hardware.In solving combinatorial optimization problems, we often use genetic algorithm.In order to solve the practical problems, we need to consider both the software part and the hardware part.Genetic algorithm mainly simulates the evolution process of organisms through natural selection. On the one hand, it can solve some constrained problems, on the other hand, it can also optimize some unconstrained problems.In this study, based on genetic algorithm, we optimize the distribution efficiency in the real world, and propose the optimized algorithm and improve it.We have changed the parameters of the traditional genetic algorithm to realize the optimization of e-commerce. We can also see from the experimental results that we have achieved certain results.The improved genetic algorithm can play a certain role in the distribution process of e-commerce, improve the efficiency of transportation, and meet the requirements of reality.

Real-time underwater image enhancement: a systematic review

In recent years, deep sea and ocean explorations have attracted more attention in the marine industry. Most of the marine vehicles, including robots, submarines, and ships, would be equipped with automatic imaging of deep sea layers. There is a reason which the quality of the images taken by the underwater devices is not optimal due to water properties and impurities. Consequently, water absorbs a series of colors, so processing gets more difficult. Scattering and absorption are related to underwater imaging light and are called light attenuation in water. The examination has previously shown that the emergence of some inherent limitations is due to the presence of artifacts and environmental noise in underwater images. As a result, it is hard to distinguish objects from their backgrounds in those images in a real-time system. This paper discusses the effect of the software and hardware parts for the underwater image, surveys the state-of-art different strategies and algorithms in underwater image enhancement, and measures the algorithm performance from various aspects. We also consider the important conducted studies on the field of quality enhancement in underwater images. We have analyzed the methods from five perspectives: (a) hardware and software tools, (b) a variety of underwater imaging techniques, (c) improving real-time image quality, (d) identifying specific objectives in underwater imaging, and (e) assessments. Finally, the advantages and disadvantages of the presented real/non-real-time image processing techniques are addressed to improve the quality of the underwater images. This systematic review provides an overview of the major underwater image algorithms and real/non-real-time processing.

Wireless Image Transmission Interference Signal Recognition System Based on Deep Learning

In the process of wireless image transmission, there are a large number of interference signals, but the traditional interference signal recognition system is limited by various modulation modes, it is difficult to accurately identify the target signal, and the reliability of the system needs to be further improved. In order to solve this problem, a wireless image transmission interference signal recognition system based on deep learning is designed in this paper. In the hardware part, STM32F107VT and SI4463 are used to form a wireless controller to control the execution of each instruction. In the software part, aiming at the time‐domain characteristics of the interference signal, the feature vector of the interference signal is extracted. With the support of GAP‐CNN model, the interference signal is recognized through the training and learning of feature vector. The experimental results show that the packet loss rate of the designed system is less than 0.5%, the recognition performance is good, and the reliability of the system is improved.

Constant temperature control system of building energy system

Due to the poor effect of traditional systems on constant temperature control, the paper proposes to design an embedded continuous temperature control system in a dynamic, intelligent building. In the smart building, the thesis takes the building as the research object and uses the embedded technology to design the overall structure diagram of the system. The thesis aims at the output control module of the thermostat. It uses the Peltier effect to develop the thermocouple closed-loop and drives the semiconductor refrigeration device select. In the software part, the paper establishes a cross-compilation environment, transplants embedded kernels, and sets fuzzy rules for constant temperature control. The validity of the system design is verified through experiments. It can be seen from the experimental results that the system has a better thermostat control effect.

Програмно-апаратна інфраструктура наземної автономної платформи з елементами штучного інте-лекту.

Due to modern microcomputers and platforms based on microprocessors such as, for example, Raspberry Pi, Orange Pi, Nano Pi, Rock Pi, Banana Pi, Asus Tinker Board – the development of prototypes of em-bedded systems is possible in a «design» mode. The software part is implemented on the basis of operat-ing systems and standard technologies based on well-known programming languages such as C / C++, Python, C#, Java, etc. In such case the control channel for the embedded system can be either imple-mented via a web service separated by a communication channel or controlled independently. It is im-portant to understand that creating an embedded system on a standard platform is much more expensive than buying a ready-made mass-produced device with the same functionality. Therefore, it makes sense to use platforms like the Raspberry Pi mainly for individual artificial devices. If it is necessary to build a project of embedded systems and there is a problem with choosing a hardware platform for the client side, then currently there is a wide range of boards and solutions for building an efficient and inexpen-sive system using ready-made modules. The number of expansion cards and various sensors, video cam-eras, internet connection via Ethernet, Wi-Fi and Bluetooth provides a wide range of opportunities for building almost any solution based on this component base. The foundation can be made within a small budget, with minimal time spent, using large blocks and ready-made libraries for programming embed-ded systems. This article presents the results of research and development work on the creation of a software and hardware infrastructure of a terrestrial platform with the elements of artificial intelligence. Based on the actual results of the research, a deployment diagram and a component diagram of such an infrastructure have been constructed.

Data Analysis of Athletes’ Physiological Indexes in Training and Competition Based on Wireless Sensor Network

The application of physiological and biochemical indicators in athlete training and competition has become a hot research topic in related fields at home and abroad. Both coaches and scientific researchers hope to use quantitative physiological and biochemical indicators to study the load, fatigue, and recovery of athletes in training competitions and use them to scientifically guide athletes in training competitions, improve sports performance, and reduce injuries. This article introduces in detail the development status of wireless sensor network technology, energy consumption detection system, and ZigBee technology. On this basis, the focus is on the design of the detection terminal (coordinator and router node), the routing protocol of the ZigBee network, and the algorithm for the detection of human energy consumption. This subject proposes a design plan for the human exercise energy consumption detection system and researches and designs the wireless sensor network coordinator, router node, and host computer monitoring system. The microprocessors of the two types of network nodes use the single‐chip microcomputer. Among them, the router node is composed of sensor modules, data transmission modules, and power modules; the software part is transplanted to ZigBee protocol Z‐Stack, combined with the routing algorithm, and we add the corresponding node function code to achieve them. Based on the introduction of the development status and development points of the single‐chip‐based motion wireless sensor, this article focuses on the analysis of the single‐chip‐based motion wireless sensor network products. The common features of the single‐chip microcomputer are wireless, huge low power consumption, and simple development. Engineering practice shows that the designed system is relatively good in terms of reliability and stability of data transmission; even in the case of severe noise interference and electromagnetic interference, the probability of network nodes malfunctioning is still very small. The router node processes and analyzes the collected motion data, calculates the energy consumption and motion state of human motion based on the acceleration value of each axis and extracts data characteristics, and transmits the obtained results to the coordinator for real‐time display.