Microcomputer System Research Articles

The application of a low-cost microcomputer logger with pressure-temperature based sensor for coastal observations: A preliminary study

Abstract Nearshore hydrodynamics, such as water level fluctuations, field observations play a crucial role in understanding and monitoring the dynamics of the coastal region. The observed parameters provide insight into oceanographic processes, climate change impacts, and the behavior of marine ecosystems that could be valuable for coastal management and infrastructure development planning. Most of the available hydrodynamic loggers are provided by companies with relatively high prices. Due to limited budgets, many areas including Indonesia waters, have limited hydrodynamic observation data. In this paper, we presented a prototype of a simple (DIY-Do It Yourself) and low-cost water level logger with a microcomputer that could be applied in coastal regions. The system consists of a pressure-based sensor to detect water level fluctuations, a temperature sensor, a single-board microcomputer and data logger, and a power supply with different sampling frequencies for various coastal applications. The result showed the ability of the microcomputer system to measure high-resolution water levels and temperatures applicable for non-directional waves, tides and non-tides observations, and ecological monitoring. The microcomputer’s low power consumption makes it suitable for long-term coastal observations, even in remote or battery-powered applications. The body of the logger is designed from PVC-nylon with sensors made from waterproof and corrosion-free materials to ensure its applicability for coastal monitoring. Moreover, the flexibility of the microcomputer system allows for customization and adaptation to specific research requirements at relatively affordable prices.

How Multiple Representations Using Cyber–Physical System to Teach Rectilinear Motion Improves Learning and Creativity

Learning physics can be seen by many as a problem, as the standard method of learning tends to focus on remembering and using concepts that fail to construct meaning. To overcome this problem in teaching rectilinear motion, we implemented multiple representations using a cyber–physical system that enables interaction between a physical model and the real world. We did so by using a microcomputer system housed inside a ball, including motion and force sensors. This system communicated with the teacher’s laptop in order to display the corresponding data via a projector. The study was conducted with 49 tenth-grade students across five sessions on rectilinear motion. Using a pre- and post-test, we observed that the experimental group performed significantly better than the control group, both in terms of learning as well as in the development of creativity (fluency and flexibility). With guidance from the teacher, the multiple representations allowed the students to improve their learning and creativity by connecting various forms of representation. In other words, the students were able to connect both abstract and concrete views through a real-world, physical experience. Our study reveals the potential of cyber–physical systems within the teaching–learning process for physics, specifically rectilinear motion, and how such a system supports multiple representations.

柔顺障碍环境下收获甜椒末端执行器的设计与试验

Picking sweet peppers by hand is often time-consuming and laborious. To overcome this, in the current study, we developed an end effector for mechanized and non-destructive harvesting of sweet pepper. The design includes grip modules, shear modules and control systems. Based on the establishment of an approximate mathematical model of sweet pepper fruit and the analysis of the biomechanical characteristics of sweet pepper fruit, a pinch finger was proposed. The proposed mechanism is able to successfully achieve non-destructive and stable fixation of sweet pepper and fruit bunches. Key parameters of peduncles cutting were obtained by the cutting test. A cutting mechanism was then designed to achieve efficient separation of the fruit and fruit stem. The designed end effector achieves precise control through a single-chip microcomputer and multi-sensor integrated control system to achieve mature target fruits. The test results showed that the picking success rate, damage rate and picking time of peppers were 93.3%, 1.6% and 5 seconds, respectively. The end effector designed for sweet pepper picking has a simple and reliable structure, which provides a reference for further research on sweet pepper picking robots.

Multi-Layer Perceptron Model for Dota 2 Game Results from UCI Using MLP Classifier

Dota 2 is a genre game Moba in the PC (Personal Computer) system battle arena game online (online) with multiplayer ( bringing together 2 players in 1 machine ). Game Dota 2 consists of 2 opposing teams To get the victory, every team has 5 players who can choose hero 1 from 121 different heroes. Study This discusses the use of the Multi-Layer Perceptron (MLP) model to predict the results Dota 2 game. The author uses the UCI dataset containing historical data of Dota 2 matches, processed and trained with the MLP model using MLPClassifier from the scikit learn Python library. The data preprocessing process includes normalization features and handling of missing data. Training involves hyperparameter selection and validation cross To prevent overfitting. Although the MLP model is successful in predicting results with accuracy high, the author takes notes room For improvement, like additional features or the use of more models complex. In research, This obtained results with Accuracy Train results: 68.06%, Accuracy Test: 58.00%, Accuracy Precision: 58.53%, Accuracy Recall: 73.50%, Accuracy f1: 63.39%.

Retracted: Reform of PBL Teaching Mode of Microcomputer System and Embedded Application Course Group.

[This retracts the article DOI: 10.1155/2022/5396393.].

A Lightweight Botnet Exploiting HTTP for Control Flow Denial on Open-Source Medical Systems.

The recent emergence of open-source medical cyber-physical systems has rapidly transformed the healthcare industry. This can be attributed to advancements in 3D printing technology and the growing popularity of open-source microcomputer systems like Arduino and Raspberry Pi. However, the increased use of these systems in hospitals has also raised cybersecurity concerns. In particular, new technologies, such as IoT devices and other mobile devices, have posed new challenges in exploiting modern botnets and determining their effectiveness with limited resources. In this paper, we propose a lightweight and full-encrypted cross-platform botnet system that provides a proof-of-concept demonstration of how a botnet attack can block control flow from the syringe pump in a testbed of an IoT medical network. The emphasis is placed on minimal deployment time and resource usage, making this lightweight botnet different from most traditional botnets, thus furthering cybersecurity research in intrusion detection for open-source medical systems.

Translating SIBI (Sign System for Indonesian Gesture) Gesture-to-Text in Real-Time using a Mobile Device

The SIBI gesture translation framework by Rakun was built using a series of machine learning technologies: MobileNetV2 for feature extraction, Conditional Random Field for finding the epenthesis movement frame, and Long Short-Term Memory for word classification. This high computational translation system was previously implemented on a personal computer system, which lacks portability and accessibility. This study implemented the system on a smartphone using an on-device inference method: the translation process is embedded into the smartphone to provide lower latency and zero data usage. The system was then improved using a parallel multi-inference method, which reduced the average translation time by 25%. The final mobile SIBI gesture-to-text translation system achieved a word accuracy of 90.560%, a sentence accuracy of 64%, and an average translation time of 20 seconds.

PREVENTION OF COMPUTER CRIME THROUGH KNOWLEDGE OF THE CONCEPT OF CYBER SECURITY

The purpose of this article is to make the reader aware of the concept of cyber security and of the importance of establishing cyber data protection systems that we currently manage. Cyber-attacks have experienced a continuous upward trend in recent years, being targeted at both personal computer systems, computer systems managed by companies or computer systems managed by state institutions, as such cyber security has become a necessity for any user, provider, or consumer of cyber data.

Development of A Novel Adaptive Range Strain Sensor for Structural Crack Monitoring

Ocean platforms that are under complex sea conditions and loads for long periods are prone to fatigue cracks. These cracks may lead to large deformations, even displacement, of the platform, and should be monitored to ensure engineering safety. Cracks are not easily detected in the micro stage and small levels of strain measurement are required to ensure high accuracy. Furthermore, cracks are prone to suddenly developing into large deformations, especially in structural connections in practical engineering. This study developed a novel adaptive range strain sensor for structural crack monitoring that can monitor the whole structural crack propagation process in ocean platforms. The strain sensor is used for micro deformation monitoring through its fiber Bragg grating (FBG) sensor with high sensitivity. The sensor can automatically adapt to crack fractures and provide warnings through an STM32 single-chip microcomputer (SCM) system when the structure suddenly cracks, causing large deformation. The experimental results demonstrate that the device has high precision in micro measurement with the ability to capture structural fractures. The field application shows the high strain sensitivity of the sensor in crack monitoring, which indicates that the adaptive range strain sensor is suitable for the structural crack monitoring of ocean platforms.

Tremors: Privacy-Breaching Inference of Computing Tasks Using Vibration-Based Condition Monitors

We propose the adaptation of vibration-based condition monitoring systems and techniques, popularly used in industrial condition-based maintenance, for identifying the possibility of compromising the privacy of personal computing systems. This work exploits the automated fan-based heat dissipation features and read/write operations of disk-based storage, commonly present in personal computers, to read computing task-specific vibration signatures on the computer’s cabinet/case. These vibration signatures are then used to identify the broad classes of tasks being executed on a separate computer without ever needing to log into the monitored machine. This work builds upon the premise that heterogeneous tasks have distinct computing requirements, which translates to variations in the amount of heat generated by the computer’s processor, eventually leading to variations in the computer’s heat control fan speed. The variations in the fan’s speed and the frequency of read/write operations to disk-based storage create unique vibration signatures, which maps uniquely to the computer’s processing operations, leading to a breach of privacy of the computer. Our work’s preliminary results suggest that computer-based tasks can be mapped from their vibration signatures with an accuracy of at least <inline-formula><tex-math notation="LaTeX">$70\%$</tex-math></inline-formula> . We additionally study the task identification granularity of such an approach.

Simulation and compensation method of temperature drift of evanescent wave organic matter sensor

In order to analyze the temperature drift simulation and compensation method of evanescent wave organic matter sensor. This paper introduces the optical fiber evanescent wave biosensor system, analyzes the social and economic benefits of the optical fiber evanescent wave biosensor system, and verifies the feasibility of the system with the help of simulation method. Aiming at the zero drift, taking advantage of the fast speed of MPU, a standard signal source is added. Before sampling the input data, the standard signal is sampled to measure its drift, and the amount of drift is added to the calculation formula of signal quantity, so that its drift can be corrected automatically. Then take the zero temperature compensation of electronic scale as an example, set the sampling value of the measured object as X, the maximum allowable zero tracking drift as ±E (E > 0), the resolution of the measurement system as ±ε (ε > 0), and the zero value at no-load is d zero, which is stored in the temporary zero unit of the single chip microcomputer system. The experimental results show that the correct voltage value at a certain temperature can be calculated through the cyclic program of C language. This method has higher accuracy than two-dimensional regression method, less calculation than neural network method, faster calculation speed, less storage space, and is more suitable for the requirements of low-cost single chip microcomputer. Therefore, this can reduce the cost. Although the accuracy is not as high as that of neural network, the error of 0.8 % can meet the actual needs, and has been put into practical application. At the same time, by summarizing the experiment of compensation method in the simulation system, the in-depth analysis of temperature drift simulation and compensation method of evanescent wave organic matter sensor is realized.

Polarization-Resolved p-Se/n-WS2 Heterojunctions toward Application in Microcomputer System as Multivalued Signal Trigger.

Polarization-sensitive photodetectors based on van der Waals heterojunctions (vdWH) have excellent polarization-resolved optoelectronic properties that can enable the applications in polarized light identification and imaging. With the development of optical microcomputer control systems (OMCS), it is crucial and energy efficient to adopt the self-powered and polarization-resolved signal-generators to optimize the circuit design of OMCS. In this work, the selenium (Se) flakes with in-plane anisotropy and p-type character are grown and incorporated with n-type tungsten disulfide (WS2 ) to construct the type-II vdWH for polarization-sensitive and self-powered photodetectors. Under 405nm monochrome laser with 1.33mW cm-2 power density, the photovoltaic device exhibits superior photodetection performance with the photoelectric conversion efficiency (PCE) of 3.6%, the responsivity (R) of 196mA W-1 and the external quantum efficiency (EQE) of about 60%. The strong in-plane anisotropy of Se crystal structure gives rise to the capability of polarized light detection with anisotropic photocurrent ratio of ≈2.2 under the 405nm laser (13.71mW cm-2 ). Benefiting from the well polarization-sensitive and photovoltaic properties, the p-Se/n-WS2 vdWH is successfully applied in the OMCS as multivalued signal trigger. This work develops the new anisotropic vdWH and demonstrates its feasibility for applications in logic circuits and control systems.

Intelligent Dam Breach Threat Monitoring System

The article is devoted to the development of a river flow modeling technique. The paper considers possible approaches to modeling the flow of fluids, as well as an analysis of existing solution methods and the formulation of research problems. The task is analyzed and the main problems that may arise in the course of its solution are identified. A general description of the problem and the formulation of research objectives are given. The advantages and disadvantages of the described methods are highlighted. A comparative analysis of known methods for complex analysis, forecasting the consequences of natural and man-made emergencies using modern technologies of mathematical modeling and a computational experiment with displaying the results in a geographic information system and a study of a mathematical model of a dam breakthrough was carried out. A description of the flood and flood monitoring technology developed in Kazakhstan is given, the results of its practical use in certain regions are discussed, and directions for further development are outlined. Thus, based on the analysis of various existing methods, the goal and main objectives of research aimed at developing a methodology for predicting a hydrodynamic accident as an emergency were formulated. The continuous wave method or ultrasonic pulse echo method is used. Based on microprocessor technology and sensors, an autonomous microcomputer system for transmitting climate data has been developed. A program for monitoring the factors of breakthrough waves in real time has been developed. An autonomous microcomputer system for transmitting climate data has been developed. The autonomous power supply subsystem for satellite data transmission systems includes a set of equipment, the functions of which are to generate and store energy for its subsequent use in order to provide power supply to the equipment. Water level measurement equipment can be different. To ensure the functioning of the system, the measuring equipment will be interfaced with the data transmission subsystem and the power supply subsystem. The pairing of these systems will make it possible to monitor the water level in moraine lakes, the location of which is extremely inaccessible. Technical means measuring the water level must be able to receive data from sensors with different periodicity. The accumulated data is used to predict possible floods and floods, calculate water consumption, and for other purposes. The characteristics of dams and the capabilities of modern control systems based on the use of microprocessor technology are analyzed.

AUTOMATION OF DESIGN OF EDUCATIONAL PREMISES WITH SAFE WORKING CONDITIONS

When organizing the educational process in higher education institutions, safe conditions must be created that meet all the general current requirements of labor protection. The most common physical factor of adverse effects on students in classrooms are man-made electromagnetic fields around each technical means and in different configurations of the relative location of equipment. Based on the fundamental physical relations and dipole models of propagation of electric and magnetic components of electromagnetic fields using EMF LFSourse software, models of propagation of electric and magnetic fields of personal computer components were obtained. This visualized the propagation of an electric field around liquid crystal monitors, magnetic fields around personal computer system units, and uninterruptible power supplies. The result is a spatial distribution of electric and magnetic field strengths in computerized workplaces. These models allow you to streamline the relative position of personal computers in computer classrooms and other classrooms where computers are located in terms of electromagnetic safety. Detailed models of the configuration of electric and magnetic fields allow to obtain the propagation of fields around the electrical equipment of training laboratories. The example of modeling the propagation of the electric and magnetic components of the electromagnetic field of personal computer components shows the possibility of providing safe configurations of individual workplaces and many workplaces in computer classrooms. It is expedient to create models of propagation of other physical factors of technogenic origin – sound, infrasound, anomalous distribution of air ion concentrations, etc. Modeling allows you to place equipment in training laboratories at the design stage, adhering to safe conditions in the organization of the educational process.

Digital exclusion and its impact on journalism in Kashmir

With the introduction of personal computer systems and subsequent technologies that make flow of information fast and efficient, a new age emerged that is often termed as ‘digital age’ or ‘digital era’. During this age, the capabilities of individuals and societies to access and use multiple forms of convergent media content got enhanced manifold. It also led to a revolution in the industry of ‘news and views’. This convergent media is popularly known as the ‘New Media’. While this new (digital) media is taking new shapes across the globe, it is still struggling for survival in one part of the world called Kashmir. Due to frequent suspensions of internet service in the valley, the digital media of Kashmir faces multiple challenges that are mostly unknown to other parts of the world. During 2010, 2012 and 2016 uprisings in Kashmir and more recently in 2019–2020, when Indian government decided to scrap the autonomy and special status of the valley, this place was excluded digitally that had a huge setback not only to the growth of New Media, but on education, health and economy as well. This paper studies this digital exclusion and its impact on journalism and mass communication in Kashmir.

Cloud-based email phishing attack using machine and deep learning algorithm

Cloud computing refers to the on-demand availability of personal computer system assets, specifically data storage and processing power, without the client's input. Emails are commonly used to send and receive data for individuals or groups. Financial data, credit reports, and other sensitive data are often sent via the Internet. Phishing is a fraudster's technique used to get sensitive data from users by seeming to come from trusted sources. The sender can persuade you to give secret data by misdirecting in a phished email. The main problem is email phishing attacks while sending and receiving the email. The attacker sends spam data using email and receives your data when you open and read the email. In recent years, it has been a big problem for everyone. This paper uses different legitimate and phishing data sizes, detects new emails, and uses different features and algorithms for classification. A modified dataset is created after measuring the existing approaches. We created a feature extracted comma-separated values (CSV) file and label file, applied the support vector machine (SVM), Naive Bayes (NB), and long short-term memory (LSTM) algorithm. This experimentation considers the recognition of a phished email as a classification issue. According to the comparison and implementation, SVM, NB and LSTM performance is better and more accurate to detect email phishing attacks. The classification of email attacks using SVM, NB, and LSTM classifiers achieve the highest accuracy of 99.62%, 97% and 98%, respectively.

Determining the Main Characteristics of Motor Lubricants Using Color Indices and Prediction Models

This paper proposes tools for predicting the main characteristics of motor lubricating oils that can be used to assess their quality. A comparative analysis of four measuring devices, operating on optical principle, was performed to predict the main characteristics of motor lubricating oils. It has been found that the combined use of seven color indices leads to increased accuracy in predicting the value characteristics of motor oils. The two main components are needed to reduce the data volume of the vector containing these features, which leads to a reduction in the volume of data used. It was found that according to colorimeter data, regression models have higher predictive properties than those obtained with a video camera and a digital camera. The proposed research tools can be used with single-board microcomputer systems, which do not require complex computational procedures. The use of the proposed in this article techniques and tools in practice would reduce the effect of the measuring instrument experience.

Reform of PBL Teaching Mode of Microcomputer System and Embedded Application Course Group.

In recent years, the problem-based learning (PBL) model has become a hot spot in the education field. Its unique “learner”-centered and “problem-based” characteristics have been widely used in teaching. Make a useful attempt to comply with the development of the times and the requirements of education. This article puts forward the research on the reform of PBL teaching mode based on the microcomputer system and embedded application course group, using literature data method, fuzzy comprehensive analysis method, questionnaire survey method and other methods to explore. This paper designs the experiment of PBL teaching mode reform based on the microcomputer system and embedded application course group, analyzes the domestic research status of PBL teaching mode, and analyzes and summarizes the teaching effect of PBL. The average score of the experimental class with PBL teaching was 74.76 points, and the passing rate reached 95.13%; while the average score of the control group was 70.21 points, and the passing rate was 92.30%. The PBL teaching model of the microcomputer system and embedded application course group conforms to the general direction of my country's education development and reform. It can cultivate students' innovative consciousness and problem-solving ability. It has a certain reference value for improving the quality of course teaching and also provides teachers with a Kind of new teaching ideas and approaches.

A Review of PCI Express Protocol-Based Systems in Response to 5G Application Demand

In the Personal Computer (PC) industry, systems with updated configurations, components, and new technologies are introduced to the market each year. Resource arrangement and the prediction of market requirements for products are common challenges in each development phase of these products. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and cloud services influence the PC industry, and product strategies must be examined to fit the requirements of the market. Common designs and market predictions can influence product line resource arrangements, and 5G applications are causing an increasing demand for 5G-enabled products in the market. However, PC systems based on PCI Express, NVMe, USB, and TPM have been introduced into the market with more secure solutions, and common designs and predictable market demand can provide more reliable strategies for navigating these issues. The research reported here is based on the serial bus system, which should simplify protocol transition between PCI Express, CXL, USB 4, and NVMe. Serial bus behavior should also influence performance and power consumption. Product strategies could be based on securing demand with power and performance in AI, the IoT, cloud storage, and high-performance computing. Based on performance and power requirements, application layer devices can use PCIe-based systems to provide secure solutions to extend 5G system reliability.

Development of the Pre-Professional Identity of Vocational Students during Their Training through a Program Based on OER-Enabled Pedagogy and an Online Community of Practice

Online professional communities based on sharing under open licenses have become a new way of building knowledge, learning and professional development of the participants who build and expand their professional identity in the new global space. These new dynamics of cyberculture are not being sufficiently explored in the training of vocational students. However, open pedagogy models can foster pre-professional identity, influence academic success and self-perception, as well as contribute to the commons. In this study, we have investigated from the anthropological perspective, the impact of a training program based on an open pedagogy model. Specifically, we have investigated the effect on the pre-professional identity and the academic results of vocational students, as well as on the development of the commons of their profession. Methodologically, we have combined the bibliographic review with the empirical, quantitative, and qualitative data, collected in the ethnographic fieldwork carried out during two academic years on 77 students of “Microcomputer Systems and Networks”, in a vocational center located in the Community of Valencia (Spain). The results indicate that this methodology promotes, among students, the development of pre-professional identity, a better understanding of copyright and open licenses, appreciation of the documentation processes of their tasks, and the value of their works for society.