Windows Operating System Research Articles

Algorithm and Software Implementation of the Diagnostic System for the Technical Condition of Powerful Units

This article discusses the software implementation of the diagnostic system for auxiliary equipment of power plants (on the example of smoke exhausters). The developed program of diagnostics of auxiliary equipment of electric power plants is given on the example of condition diagnostics designed for early detection and localization of certain defects and providing recommendations for their elimination in smoke pumps, which should ensure the issuance of appropriate protocols and, upon request, protocols of the current state of smoke pumps, quality assessment of repairs and special tests, as well as graphs of retrospective parameter values for the time period selected by the user, where the users of the task - there are heads and deputy heads of workshops, senior foremen, repair engineers, as well as specialists of the planning and technical department. The problem is considered, which was solved within the framework of the software and hardware complex of the automated process control system) of the 800 MW power unit No.1 of Talimarjan TPP and is intended for operational specialists, where the task operates under the Windows operating system and the program is written in the C++ programming language Builder 6 for the development of application tasks with client -server architecture. And also the composition of the program and the program menu are given: “Task Launch”, “Daily statements”, “Input data”, “Output forms”, “Diagnostics” and “Special tests” allow you to implement the required task function at the moment. In addition, the article presents elements and components, processes and conditions of a pumping plant, pumping station and pumping station cascade, potentially dangerous and processes and conditions potentially dangerous for a pumping plant, pumping station and pumping station cascade.

The implementation of an optical computer mouse as a low-cost displacement sensor

The accurate measurement of distance, position or displacement is a requirement in many robotics projects. This paper presents the investigation of a HP M-UAE96 optical mouse as a low-cost displacement sensor. Various resolutions were obtained on a Windows operating system in conjunction with MATLAB®. The Arduino IDE was used with a linear actuator module to accurately produce predetermined linear movements. The most suitable resolution was found to be 0.2 mm/pixel and was implemented on a parallel kinematic manipulator in a case study. Surface contact and length of measurement were significant factors that influenced measurement accuracy.

Guided Malware Sample Analysis Based on Graph Neural Networks

Malicious binaries have caused data and monetary loss to people, and these binaries keep evolving rapidly nowadays. With tons of new unknown attack binaries, one essential daily task for security analysts and researchers is to analyze and effectively identify malicious parts and report the critical behaviors within the binaries. While manual analysis is slow and ineffective, automated malware report generation is a long-term goal for malware analysts and researchers. This study moves one step toward the goal by identifying essential functions in malicious binaries to accelerate and even automate the analyzing process. We design and implement an expert system based on our proposed graph neural network called MalwareExpert. The system pinpoints the essential functions of an analyzed sample and visualizes the relationships between involved parts. We evaluate our proposed approach using executable binaries in the Windows operating system. The evaluation results show that our approach has a competitive detection performance (97.3% accuracy and 96.5% recall rate) compared to existing malware detection models. Moreover, it gives an intuitive and easy-to-understand explanation of the model predictions by visualizing and correlating essential functions. We compare the identified essential functions reported by our system against several expert-made malware analysis reports from multiple sources. Our qualitative and quantitative analyses show that the pinpointed functions indicate accurate directions. In the best case, the top 2% of functions reported from the system can cover all expert-annotated functions in three steps. We believe that the MalwareExpert system has shed light on automated program behavior analysis.

Проблеми організації ортодонтичної допомоги дітям, які проживають у м. Ужгород

Introduction. In the structure of the prevalence of dental diseases, children with dentoalveolar anomalies (DAA) take the third place after the dental caries and periodontal tissue diseases. According to the WHO, the prevalence of DAA is 50% on average. However, the dental care provided does not always meet existing needs, and patients need to expand its volume and improve its quality. Purpose: to study the problems of organizing orthodontic care for children living in Uzhhorod. Materials and methods. In order to evaluate the effectiveness of dynamic observation and rehabilitation of children at the orthodontist, an in-depth study of the observation method was conducted in comparison with the appointment on demand. Planned treatment and preventive measures covered 432 elementary school students, and 228 students of the same age in Uzhgorod who received orthodontic care on demand. Statistical data processing was performed on a personal computer using licensed software for the Windows operating system and the standard Statsoft software package. Inc STATISTICA 6.0 2300 East 14th Street Tulsa, OK 74104 USA. Student's t-test values were used to determine the reliability of the difference in results. Results and discussion. Screening of the prevalence of dentoalveolar anomalies in the city of Uzhgorod showed that 54% of children and teenagers have defects that need treatment. In children living in Uzhgorod, the frequency of formed DAA ranges from 32.9 to 33.2%, those which are forming – from 19.7 to 21.3%, those with risk factors for development from 16.9 to 18.3% of the total number of examinees. The vast majority of children (97.7%) have DAA combined with abnormalities of other systems and organs: postural disorders and scoliosis (82.9%), myopia (82.7%). The prevalence of DAA is uneven in different age. In the period of temporary dentition, anomalies occur in 24% of children, in the period of mixed dentition – in 49%, and at the age of 17 (permanent dentition) in 35%. There is an increase in the frequency of DAA between the ages of 6 and 11 years. Conclusions. The high prevalence of dentoalveolar anomalies is a consequence of insufficient coverage of the pediatric population with the necessary orthodontic care. The success of orthodontic treatment depends on the contact of the patient and (or) his parents with the doctor, therefore, an orthodontist needs special psychological training. It is necessary to expand the sanitary and educational work among the population and in the mass media regarding the promotion of a healthy lifestyle, timely detection and treatment of anomalies of the dentomaxillofacial system.

The Development of Interactive Games for Covid-19 Prevention Using Indonesian Health Protocols

COVID-19 has become a virus spreading quickly across the world.The government of Indonesia also immediately adjusted theconditions to minimize the spread of the COVID-19 virus byimplementing the health protocols 5M namely, wearing a mask,washing hands, keeping distance, avoiding crowds, and reducingmobility. With the advancement of technology, games can be used aseducational media to support users learning processes and increasetheir knowledge. Therefore, we conducted a study using the learningsupport media, namely interactive games based on a personalcomputer platform with the Windows operating system to help theusers understand the prevention of the COVID-19 virus byimplementing health protocols. This study proposes using a structurefor the iterative cycle process called the ADDIE model framework andusing the Unity game engine for its game development tools. Tomeasure the feasibility of interactive games as educational media, weuse the System Usability Scale method. Based on the applicationtesting of 50 respondents, interactive games get a score of 90 on a scalethat is acceptable. The results also indicate that interactive games aseducational media will improve the users learning process andmotivation about implementing the health protocols.

A Low-cost Portable Interrogator for Dynamic Monitoring of Wavelength-Based Sensors

This paper proposes a low-cost portable interrogator for dynamic monitoring of wavelength-based fiber-optic sensors such as fiber Bragg gratings (FBGs) and Fabry-Perrot interferometers (FPIs). The interrogator is based on a compact solution involving a broadband light source and the spectral convolution between the sensor and a tunable filter. The filtered signal is then acquired by a photodetector where the optical-electrical conversion happens. Additionally, a microcontroller performs three actions: (i) controls the filter tuning, (ii) acquires the photodetector signal, and (iii) sends the data to a single-board computer (SBC). Lastly, the SBC performs further signal processing and displays the sensor data on a graphical user interface. The choice for hardware and software development combined allows for a lost-cost solution that supports monitoring of four channels simultaneously, real-time operation, compatibility with Windows and Linux-based operating systems, dynamic inputs for signal processing, wireless communication with low latency, and portability.

DiffMap: A new free computer program to process scanned electron diffraction patterns

AbstractA free computer program, called DiffMap, is presented for off-line evaluation of both phase maps and orientation maps from a large number of diffraction patterns recorded with a nearly parallel nano-beam scanned line-by-line over a rectangular area in a scanning transmission electron microscope (STEM). The program runs in the Windows operating system on IBM PC compatible computers. The patterns, which are recorded independently from this program by a CCD or CMOS camera or by a pixelated camera are in Tif format, serve as input to DiffMap. Many STEMs can collect such a four-dimensional electron diffraction (4D-ED) data sets by proper selection of microscope parameters, even if this fact is not over-emphasized in the operating manuals. These phase and orientation maps can complement usual compositional maps collected in the same STEM with energy dispersive x-ray spectrometers (EDS) to give a complete description of the crystalline phases. Application is exemplified on the (fcc, hcp and bcc) phases in a sample with 4 major components (Co, Cr, Fe, Ni).

Academic Tracker: Software for tracking and reporting publications associated with authors and grants.

In recent years, United States federal funding agencies, including the National Institutes of Health (NIH) and the National Science Foundation (NSF), have implemented public access policies to make research supported by funding from these federal agencies freely available to the public. Enforcement is primarily through annual and final reports submitted to these funding agencies, where all peer-reviewed publications must be registered through the appropriate mechanism as required by the specific federal funding agency. Unreported and/or incorrectly reported papers can result in delayed acceptance of annual and final reports and even funding delays for current and new research grants. So, it's important to make sure every peer-reviewed publication is reported properly and in a timely manner. For large collaborative research efforts, the tracking and proper registration of peer-reviewed publications along with generation of accurate annual and final reports can create a large administrative burden. With large collaborative teams, it is easy for these administrative tasks to be overlooked, forgotten, or lost in the shuffle. In order to help with this reporting burden, we have developed the Academic Tracker software package, implemented in the Python 3 programming language and supporting Linux, Windows, and Mac operating systems. Academic Tracker helps with publication tracking and reporting by comprehensively searching major peer-reviewed publication tracking web portals, including PubMed, Crossref, ORCID, and Google Scholar, given a list of authors. Academic Tracker provides highly customizable reporting templates so information about the resulting publications is easily transformed into appropriate formats for tracking and reporting purposes. The source code and extensive documentation is hosted on GitHub (https://moseleybioinformaticslab.github.io/academic_tracker/) and is also available on the Python Package Index (https://pypi.org/project/academic_tracker) for easy installation.

PDBsum1: A standalone program for generating PDBsum analyses.

PDBsum1 is a standalone set of programs to perform the same structural analyses as provided by the PDBsum web server (https://www.ebi.ac.uk/pdbsum). The server has pages for every entry in the Protein Data Bank (PDB) and can also process user-uploaded PDB files, returning a password-protected set of pages that are retained for around 3months. The standalone version described here allows for in-house processing and indefinite retention of the results. All data files and images are pre-generated, rather than on-the-fly as in the web version, so can be easily accessed. The program runs on Linux, Windows, and mac operating systems and is freely available for academic use at https://www.ebi.ac.uk/thornton-srv/software/PDBsum1.

Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding

Globally, more than 80% of end-user devices run on Microsoft’s Windows-based operating systems. Therefore, majority of the cyber-attack payloads are crafted explicitly for exploiting various vulnerabilities that exist across different software modules of Windows-based operating systems. To address this security issue, a stacking ensemble-based HIDS framework for detecting anomalous system processes is proposed in this paper. The proposed HIDS framework analyzes the process files comprising sequence of dll instruction calls made by various application and system processes to the Windows operating system’s kernel for detecting anomalous processes. The framework initially transforms the system process files comprising sequence of dll invocations into their corresponding n-gram feature vectors. It then uses two different state-of-the-art word embedding techniques namely, Word2Vec and GloVe to learn the contextual inter-dependencies between n-gram terms of the feature vectors, and generate fixed length word embedding vectors for each n-gram terms. These learned numeric word embedding vectors along with the n-gram feature vectors corresponding to the system process files are then provided as input to train an ensemble-based classifier model comprising LSTM, Bi-LSTM, GRU and Bi-GRU based base-level classifiers, and a fully connected neural network based meta-level classifier for classification of system process files as either normal or anomalous. The proposed HIDS framework is capable of detecting wide range of Windows-based attacks with high accuracy and precision. Experimental results show that the proposed HIDS framework achieves high accuracy and precision of 91.00% and 93.30%, respectively on the benchmark binary class Australian Defense Force Academy Windows Dataset (ADFA-WD) dataset. It also achieves an accuracy and precision of 68.70% and 67.80%, respectively on the multi-class ADFA-WD dataset, which are significantly higher than other similar HIDS frameworks proposed in the literature.

DESIGN OF E-ARCHIVE INFORMATION SYSTEMS OF INACTIVE RECORDS BASED ON MICROSOFT ACCESS AT HR DEPARTMENT DOCUMENT DIVISION PT KERETA API INDONESIA (PERSERO) DAOP 3 CIREBON

The Human Resources PT Kereta Api Indonesia (Persero) is a very crucial part of handling documents because it stores all employee and pension data archives, and oversees the Document Unit which manages all inactive archives from all work sections. Archives are the most important and basic thing that needs to be considered in all types of administrative and management activities in an organization because archives are information data stored about everything we do in our daily routine. However, the management of archives for the inactive archives of the HR still uses conventional archives where there is no archive backup in electronic form. This is classified as not effective and efficient if done in the present, and there is a risk of damage to the archive or loss of the archive due to forgetting to archive it. Judging from the archival situation for inactive archives that occurred here, the solution that was deemed appropriate was to design and create an electronic archive information system for inactive archives. This electronic archive uses Microsoft Access tools because its use is easy and quite familiar to use in offices that implement the Windows operating system.

Bandwith Optimization on Hotspot using PCQ Method And L2tp VPN Routing for Online Game Latency

VPN L2TP (Layer 2 Tunneling Protocol) is available on one of the services at Mikrotik. L2TP is a development of PPTP and a combination of L2F. The network security protocol and encryption used for authentication is the same as PPTP. However, to communicate, L2TP requires UDP port 1701 so that the security is better, L2TP is connected to IPSec to L2TP/IPSec. An example of its use is for the Windows operating system, which by default the Windows OS uses L2TP/IPSec. However, the consequences in terms of configuration are not as simple as PPTP. The client side must also support IPSec when implementing L2TP/IPSec. In terms of encryption, of course, encryption on L2TP/IPSec has a higher level of security than PPTP which uses MPPE. Traffic passing through the L2TP tunnel will experience overhead. The L2TP protocol is more firewall friendly than other types of VPNs such as PPTP. This is a big advantage if using this protocol, because most firewalls do not support GRE. However, L2TP does not have encryption, so it requires additional services to support higher security. So the author concludes that it will be easier to configure with online games. Online game is a type of computer game that is currently growing and requires a computer network . The networks that are usually used are internet networks or internet wifi and the like and always use current technology, such as modems and cable connections. Therefore, internet service providers (ISPs) must provide stable and fast internet quality. Bandwidth Needs Online games must be supported by an internet network that supports the speed and stability of the internet connection, especially the stability of the latency of the online game itself

Visualization and modeling of forest fire propagation in Patagonia

Fire propagation is a big concern all over the world. Visualization is a valuable tool to test possible different scenarios for fire spread, specially for designing strategies for fire control, mitigation and management. We present a parallel High-Performance Computing (HPC) forest fire simulator with an interactive and intuitive user interface that offers several functionalities to the user. The visualization interface allows to choose the propagation model of preference, the scenario of interest, as well as numerous simulation features including firebreaks and ignition points. We show some of the outputs for two different mathematical models for fire spreading. The simulator was developed with an open source philosophy in the framework of Faster Than Real Time (FTRT) applications thinking on its possible use in the field during a forest fire propagation. It can be run in Linux (Ubuntu) and Windows Operating Systems and for portability purposes the simulator was also implemented on a NVIDIA Jetson Nano.

Applying machine learning algorithms for PE-header-based malware detection on the Windows operating system

Introduction: The rapid growth of malware and its malicious use result in significant financial losses for various organizations. Many researchers are interested in applying machine learning methods to solve the problem of malware detection. Nevertheless, because of the diversity of algorithms, each machine learning algorithm has its advantages and disadvantages for a given situation. Purpose: To apply machine learning for malware detection in the Windows operating system using Portable Executable header; to compare six different machine learning algorithms based on several criteria. Results: The comparison of various algorithms, including such classifiers as Random Forest, Decision Tree, Naive Bayes, Support Vector Machine, Multilayer Perceptron, k-Nearest Neighbors algorithm with a large dataset shows that some algorithms such as Random Forest, Decision Tree, k-Nearest Neighbors, and Multilayer Perceptron can detect malware with very high accuracy (> 98%). The Random Forest algorithm is especially well suited for Windows OS malwaredetection. At the same time, Naive Bayes classifier also has a high accuracy rate (> 96%) and fast processing time. Therefore, we may consider using Naive Bayes as an alternative.

Penerapan Metode Perbandingan Eksponensial (MPE) Dalam Menentukan Topik Skripsi, Dosen Pembimbing Beserta Dosen Pembanding Studi Kasus Fakultas Ilmu Komputer Universitas Methodist Indonesia

The research that the author made discusses the application of the exponential comparison method (MPE) in determining thesis topics, supervisors and comparative lecturers of case studies at the Faculty of Computer Science, Indonesian Methodist University which aims to produce decisions in the selection of thesis topics, supervisors and comparison lecturers according to the criteria in Indonesian Methodist University. A decision support system (SPK) is needed that can find the student title value from each criterion that has been determined by the Indonesian Methodist University for the decision-making process. Applying the Exponential Comparison Method (MPE) using the criteria that have been determined by the campus, namely being registered as active students, having completed a minimum of 100 credits, students conducting research and compiling thesis manuscripts. The decision support system for selecting topic titles, supervisors and comparison lecturers made by the author uses the PHP programming language, and uses a MySQL database that is run on the Windows operating system

Stress testing of Docker containers running on a Windows operating system

At the moment, Docker technology is becoming more prevalent in the Windows environment. The pertinent topic in this regard is how Docker containers running on the Windows operating system would behave in the event of a resource deficit. The article discusses circumstances in which there is insufficient processor or RAM to service all running containers. It is proposed to employ stress and volume testing to investigate the stability and reliability of Docker containers. The purpose of stress testing is to determine how the system behaves when the load on the application is greatly increased in comparison to what was initially expected. By delivering enormous amounts of data for processing, volume testing is accomplished. To assess container performance during stress testing, a Prometheus-based technology stack is used. Docker containers running in a Windows system have been shown to operate predictably under extreme load conditions. As the processor load increases, the performance of the containerized program drops proportionately to the decrease in processor time allocated. When there is insufficient RAM to run all containers, Docker uses virtual memory to dynamically distribute memory amongst containers. If a container's execution is halted due to a lack of available RAM on the system, the container's execution is terminated. Other containers continue to function normally.

DESIGN METHODOLOGY LEXICO-SEMANTIC GRAPHS WITH THE HELP OF THE GEPHI COMPUTER PROGRAM

The article examines the problems of searching various formal models that are able to reflect fragments of the surrounding reality as structures of consciousness of speakers of a certain language. Graphs were established to be the most suitable for formalizing knowledge about fragments of existence among such models. The construction of graphs reproduces the relationship between the components of these fragments. The author made an excursion into the theory of graphs, characterized their typology and revealed possibilities of using graphs in linguistic studies, in particular for the formalization of elements of the phonological, morphological, syntactic and lexico-semantic language levels.The developed methodical algorithm for constructing a graph of the lexico-semantic field of the pandemic using the Gephi computer programme helped to visualize the structure of the lexico-semantic field and the relationship between its core and periphery, as well as to measure the degree of semantic density of the elements of the lexico-semantic field. The research showed the following advantages of the selected computer programme: support for the Windows operating system; simplicity and user friendliness; possibility to upload the necessary document to the system (CSV file), which facilitates the user’s work, because it is not necessary to manually enter data about vertices and edges into the programme; preview of the constructed graph and editing of its elements; saving in a special format for further display of the interactive graph on the Internet. The selected programme was used to construct a complex undirected lexico-semantic graph with a vertex pandemic.

A Novel Method for Moving Laterally and Discovering Malicious Lateral Movements in Windows Operating Systems: A Case Study

Lateral movement is a pervasive threat because modern networked systems that provide access to multiple users are far more efficient than their non-networked counterparts. It is a well-known attack methodology with extensive research conducted investigating the prevention of lateral movement in enterprise systems. However, attackers use increasingly sophisticated methods to move laterally that bypass typical detection systems. This research comprehensively reviews the problems in lateral movement detection and outlines common defenses to protect modern systems from lateral movement attacks. A literature review outlines techniques for automatic detection of malicious lateral movement, explaining common attack methods utilized by advanced persistent threats and components built into the Windows operating system that can assist with discovering malicious lateral movement. Finally, a novel approach for moving laterally designed by other security researchers is reviewed and studied, an original process for detecting this method of lateral movement is proposed, and the application of the detection methodology is also expanded.

VISROC 2.0: Updated Software for the Visualization of the significance of Receiver Operating Characteristics based on confidence ellipses

The Receiver Operating Characteristics (ROC) method is used to evaluate the diagnostic accuracy of binary quantitative tests in a broad spectrum of disciplines, including medicine, physics of complex systems, geophysics, meteorology, etc. The estimation of the significance of the examined prediction method is of high importance and it's usually approximated by Monte Carlo calculations. To simplify this problem, a FORTRAN code called VISROC was submitted to the CPC Program Library in 2014. VISROC evaluates the significance of binary diagnostic and prognostic tools for a family of k-ellipses which are based on confidence ellipses and cover the whole ROC space. Since that time, the code has been significantly improved and several new capabilities have been added. Most importantly, a Graphical User Interface (GUI) has been implemented, which can be invoked using either the R shiny web application or the Python application available for Windows, Mac, and Linux operating systems, both of which are described here. New version program summaryProgram Title: VISROC 2.0CPC Library link to program files:https://doi.org/10.17632/dktybrydvf.1Licensing provisions: AGPLv3Programming language: R and PythonJournal reference of previous version: N.V. Sarlis, S.-R. G. Christopoulos, Comput. Phys. Commun. 185 (2014) 1172.Does the new version supersede the previous version?: YesReasons for the new version: Overcome previous version's limitations and implement GUI.Summary of revisions: R and Python applications, GUI, ability to input files containing ROC data.Nature of problem: The Receiver Operating Characteristics (ROC) [1] is a method used to evaluate the diagnostic ability of binary tests and prediction methods in a broad spectrum of disciplines. Apart from the sensitivity (or True Positive rate, TPr) and specificity (which is complementary to False Positive rate, FPr, i.e., specificity=1-FPr) measures, the estimation of the statistical significance of the examined method is of high importance. VISROC evaluates the significance of binary diagnostic and prognostic tools for a family of k-ellipses which are based on confidence ellipses and cover the whole ROC space.Solution method: Using the statistics of random binary predictions for a given value of the predictor threshold ϵt, one can construct the corresponding confidence ellipses. The envelope of these confidence ellipses is estimated by varying ϵt in the interval [0,1] and one obtains a new family of ellipses, called k-ellipses [2]. They cover the whole ROC space and lead to a well defined Area Under the Curve (AUC). Mason and Graham [3] have shown that AUC follows the Mann-Whitney U-statistics [4] which can be used [5] to estimate the statistical significance of each k-ellipse. As the transformation is invertible, any point on the ROC plane corresponds to a unique value of k, hence it belongs to a unique k-ellipse that allows the estimation of the probability (p-value) to obtain this point by chance. The present GUI applications provide the p-value on the ROC plane as well as the k-ellipses corresponding to the (p=)10%, 5% and 1% significance levels using as input the number of the positive (P) and negative (Q) cases to be predicted.

Application to monitoring a SNes control with Ruby in Windows, Linux Ubuntu, OS X El Capitan, and Raspbian GNU/Linux 10

This paper shows the development of a Ruby application to detect the actions carried out on an USB control, with the goal of achieving the coding of multiplatform application that can be used as a basis for the creation of projects with larger scope and impact in this fiel, such as videogame development, and device control systems. The ‘prototype models’ methodology was the approach for this project. In the first prototype a CLI program was written that prints out messages in the terminal depending on the buttons that are simulated based on the keys pressed on the keyboard, and so on until the end of the project, in which a final application is delivered, in compliance with the necessary tests. This application code was published in a GITLAB repository for reference and future use. The application was developed to be compatible with Windows, Linux, macOS, and Raspbian operating systems to test Ruby portability.