Program Code Research Articles

Sistem Informasi Point of Sales Berbasis Web di Perusahaan Bangunan Andalas Jaya

Andalas Jaya building company is engaged in the sale of building goods or materials and transactions carried out every day are quite large, in their activities of course they require an accurate information system to make it easier to make sales transactions and record stock of goods. Making this sales and purchase information system using the Visual Studio Code program and for the database using MySQL. Researchers consider that operational activities at the Andalas Jaya Building Company are still carried out manually. Therefore, the researcher will design a Point of Sales website system to help Andalas Jaya Building Company by conducting qualitative research to get conclusions from the required sales website system. In realizing the creation of a good Point of Sales system website, researchers took the first steps such as making a system design consisting of architectural design, use case diagrams, activity diagrams, entity relationship diagrams, interface designs, website menu structures, and system implementation. With the creation of a Point of Sales website at the Andalas Jaya Building Company, it is hoped that it can help the business transaction process become more effective and efficient for further researchers to add different features.

Dynamic Resonant-Inductive Wireless Power Transfer System for Automated Guided Vehicles with Reduced Number of Position Sensors

This paper deals with the position detection of automated guided vehicles (AGVs) in dynamic resonant-inductive wireless power transfer (WPT) systems. A position detection is necessary to activate the correct transmitting coil. One of the simplest and most effective approaches for a position detection method is to use optical or magnetic position sensors for each coil. However, due to needing a high number of sensors, this technique is relatively expensive. Therefore, an AGV position detection technique based on a reduced number of optical or magnetic sensors (by a factor of two) is proposed. The proposed detection technique was verified experimentally by using a scaled-down prototype of the dynamic WPT system. The proposed approach can be easily implemented by uploading a specific program code to a microcontroller. The microcontroller with the code developed by us was used for processing data from AGV position detection sensors, activating a suitable transmitting coil and controlling an inverter of the dynamic WPT system. As shown by the experiments, due to the proposed approach for the position detection of AGVs and activation of transmitting coils, the number of the position detection sensors is reduced by a factor of two, leading to reductions in the overall cost and level of complexity of the dynamic WPT system without degrading its performance.

Development of the ITSJava Application as a Computer-assisted Learning Media in Object-Oriented Programming Courses

This research aims to develop ITSJava application as an interactive learning media for object-oriented programming (OOP) course in information technology education programme at Gorontalo State University. ITSJava was developed using the Personal Xtreme Programming (PXP) development method which consists of six stages: needs identification, planning, initial iteration, design, implementation, and system testing. The results of system testing show that the ITSJava application is suitable for use as a medium for learning OOP. This system can help students learn OOP in an interactive and adaptive way to students' learning styles. Hopefully, this system can be further developed by adding a unit test function to ensure the accuracy of the program code written by students and ensure that the code runs according to the expectations and logic expected by the lecturer.

Study of data replication process using Raft replication algorithm to maintain consistency in server cluster

The article considers the issues of ensuring availability and fault tolerance of a server cluster. The analysis of methods and technologies for increasing system reliability and improving performance, such as data replication, automatic switching between servers and fast recovery after failures, is carried out. It is indicated that the key element in modern distributed systems is replication-based clustering. The types of replication are analyzed. It is shown that during the operation of the system, there is a choice between the stability of the received data and the speed or scaling limitation. It is shown that the Raft algorithm is one of the reliable mechanisms with a high level of availability for achieving consensus and data management. An analysis of the literature on the use of the Raft consensus algorithm is carried out. The replication process using the Raft algorithm is analyzed. It is substantiated that it is possible to ensure strong consistency and high availability of the cluster using the management and control mechanism on the Kubernetes platform while maintaining cluster configuration synchronization. The Raft consensus process is studied using the M/M/s QS model. The exponential distribution of time between client requests and servicing with a certain number of servers is considered. The program code for the mathematical model in Python has been developed. Modeling has been performed in the Visual code environment in Python. The following parameters have been studied: the number of servers that operate at a certain average speed, the expected time of a client request in the system, and the probability of message delay. It has been proven that as the arrival speed increases, the expected time of a client request increases. The analysis provides an understanding of how the Raft algorithm works in different contexts and is applicable to optimizing system design processes.

The role of MoO3 on the physical, elasto-mechanical and nuclear shielding efficiency of barium-boro-bismuthate glass system: Comparative investigation

Investigations were conducted on the effect of molybdenum addition on the physical, elasto-mechanical and nuclear shielding characteristics of five different glasses, designated S1 through S5, with varying amounts of MoO3. The mechanical parameters of the examined glasses, including their Young (Y), bulk (B), shear (S) and longitudinal (L) moduli, microhardness (H), and poisons ratio, were calculated utilizing the Makishima-Mackenzie technique. The physical and mechanical characteristics of the examined glasses are improved by the addition of MoO3. The Y, B, S, and L moduli rose with increasing MoO3 concentrations from 34.6680 to 35.9989 GPa, 14.13578–14.664 GPa, 21.10714–22.60943 GPa, and 31.70897–33.59673 GPa, respectively. The H values of the glass network also dropped from 0.016431 to 0.016885 GPa. Moreover, as the concentration of MoO3 rose, the Poisson ratio value changed from 0.427021 to 0.429533. The MCNP5 code and WinXCOM program were used to compute various shielding parameters for X/gamma-rays in the energy range between 0.015 and 15 MeV. A good agreement was found between the estimated values using both MCNP5 code and WINXCOM program. The S5 glass sample exhibited the greatest gamma-ray attenuation characteristics among the examined glasses. When compared to other radiation shielding materials including recently studied glasses and polymers as well as other typical gamma ray shielding materials, the current glass composition offers complete (100 %) x-ray protection and effective efficacy for gamma-ray shielding at energies up to 15 MeV. Calculations were made of the studied glasses' macroscopic removal cross sections (∑R), which were then compared to those of commonly used neutron shielding materials. S1 sample performed the best ∑R value while S5 displays a value (0.10516 cm−1) that is comparable to those of graphite, concrete, basalt magnetite, and a few other recently studied glasses and alloys. The heavy ions (proton and alpha particle) attenuation parameters have been evaluated in energy range between 0.01 and 15 MeV. Regarding the studied glasses, the S5 sample was shown to have the best proton and alpha shielding properties. These results imply that the glass samples under study make good nuclear shielding materials for a range of applications.

Analysis of AP1000 Small-Break Loss-of-Coolant Accident Using Reactor Transient Simulator

The Westinghouse Electric Company’s Advanced Passive Reactor (AP1000) is characterized by the incorporation of passive safety systems (PSSs) designed to ensure core cooling during transient events. The assessment of PSSs requires evaluation of their performance through a combination of experiments and simulations employing various thermal-hydraulic codes. In addition, detailed evaluation of PSSs for a specific reactor system transient analysis such as loss-of-coolant-accident analysis supports understanding representative integral effects test facility development and the further evolution model development and assessment process. Developing a reactor system code is a complex and time-consuming process that requires significant engineering expertise and effort. It can take several months to even years to complete in the early stages of reactor system design and analysis. However, this process can be expedited through the use of transient simulator models for similar reactor systems, which can be used for lesson learning and training purposes. This study uses the Personal Computer Transient Analyzer (PCTRAN) code. The main advantage of PCTRAN is its ease of use and ability to run faster than real time. This study presents the results obtained for a small-break loss-of-coolant accident (SBLOCA) for two breaks using the full version (licensed) of PCTRAN. The purpose of this investigation is to evaluate the overall system behavior during the postulated SBLOCA event as well as assess the capability of the PCTRAN code to reproduce the system response during transient events. The obtained results were compared with the Westinghouse NOTRUMP system code. The PCTRAN code proved to be reliable in predicting the qualitative behavior of the system in both transient cases. As for the system response, it was found that it is contingent on the activation time of the PSSs. The differences in reactor coolant system pressure between the two codes were attributed to the critical flow model and simplification of mass and energy balance. Despite PCTRAN’s limitations, it can still provide a reasonable prediction of various reactor parameters such as pressure, mass flow rate, and void fraction during a SBLOCA scenario. It is worth noting that PCTRAN currently employs a bulk approach similar to that of the Modular Accident Analysis Program (MAAP) and MELCOR codes. However, the upcoming version of PCTRAN will include an artificial intelligence–based detection and accident prevention system, as well as different models for different reactor components. Consequently, PCTRAN has the potential to be upgraded to match the system thermal-hydraulic codes of the U.S. Nuclear Regulatory Commission and become more widely used in cybersecurity to safeguard nuclear power plants from cyberattacks.

Understanding the coupling of non-metallic heteroatoms to CO2 from a Conceptual DFT perspective

ContextA Conceptual DFT (CDFT) study has been carry out to analyse the coupling reactions of the simplest amine (CH3NH2), alcohol (CH3OH), and thiol (CH3SH) compounds with CO2 to form the corresponding adducts CH3NHCO2H, CH3OCO2H, and CH3SCO2H. The reaction mechanism takes place in a single step comprising two chemical events: nucleophilic attack of the non-metallic heteroatoms to CO2 followed by hydrogen atom transfer (HAT). According to our calculations, the participation of an additional nucleophilic molecule as HAT assistant entails important decreases in activation electronic energies. In such cases, the formation of a six-membered ring in the transition state (TS) reduces the angular stress with respect to the non-assisted paths, characterised by four-membered ring TSs. Through the analysis of the energy and reaction force profiles along the intrinsic reaction coordinate (IRC), the ratio of structural reorganisation and electronic rearrangement for both activation and relaxation energies has been computed. In addition, the analysis of the electronic chemical potential and reaction electronic flux profiles confirms that the highest electronic activity as well as their changes take place in the TS region. Finally, the distortion/interaction model using an energy decomposition scheme based on the electron density along the reaction coordinate has been carried out and the relative energy gradient (REG) method has been applied to identify the most important components associated to the barriers.MethodsThe theoretical calculation were performed with Gaussian-16 scientific program. The B3LYP-D3(BJ)/aug-cc-pVDZ level was used for optimization of the minima and TSs. IRC calculations has also been carried out connecting the TS with the associated minima. Conceptual-DFT (CDFT) calculations have been carried out with the Eyringpy program and in-house code. The distortion/interaction model along the reaction coordinate have used the decomposition scheme of Mandado et al. and the analysis of the importance of each components have been done with the relative energy gradient (REG) method.

TRENDS OF ARTIFICIAL INTELLIGENCE AND IMMERSIVE DESIGN USE IN THE FORMATION OF ARCHITECTURAL ENVIRONMENT

There is increasing attention to a new design methodology incorporating the latest achievements of a non-hierarchical way of forming based on the learning process of computers or machines, namely the concepts of artificial intelligence (AI) and immersive design, using virtual and other types of reality. The study aims to reveal the necessity to identify the main trends of artificial intelligence and immersive design use in architectural environment formation. The results can contribute to rethinking architectural design algorithms at the present stage and identifying potential opportunities for improvement. The paper describes the possibilities of AI and immersive design in architectural environment formation. Analysis of current research in this field has made it possible to identify trends that likely will continue to develop further and impact the architectural profession. One of these trends is the improvement of the architect’s toolkit, currently provided by additional plug-ins to existing programmes or separate services based on AI algorithms, but in the future, it may be a change in the programme code itself with a completely updated structure. In this case, the role of software from the architect-managed toolkit may shift to another plane, such as a digital assistant that partially or fully manages its responsibilities in working on an architectural project. The symbiosis of multidirectional but powerful immersive design technologies (VR, AR, MR) and AI algorithms is another trend in architectural environment formation. It can also be characterised as the most experimental and, at the same time, dynamically progressing, given the active development of its components. Another modern trend is to bring architectural design to a new level of a balanced combination of virtual and real. The immersion of the user in virtual reality for design work and demonstration of the relevant results is gradually changing as the 3D model of an architectural structure is increasingly manifested in the physical world, including at the implementation site, and interactive equipment with flexible and constantly evolving functionality provides architects with more opportunities for creativity. Keywords: artificial intelligence, immersive design, architectural environment.

FATIGUE BEHAVIOUR OF COPPER-BRAZED 316L STAINLESS STEEL

The plate heat exchanger (PHE) is a component that provides heat to be transferred from hot water to domestic cold water without mixing them with high efficiency. Over the lifetime of the PHE, cyclic pressure acts on the brazing points and the plates, and this may lead to fatigue failure. The fatigue behaviour of the PHE, designed by using copper-brazed 316L (also known as 1.4404) stainless steel, was investigated by performing fatigue tests to obtain the S-N curve of the analysed brazed joint. The fatigue tests have been performed on the Vibrophore 100 testing machine under the load ratio R = 0.1 for different values of calculated amplitude stress. Based on the obtained experimental results, an appropriate material model of the analysed brazed joint has been created, which was validated with numerical calculation in the framework of a program code Ansys. A validated material model can then be used for the subsequent numerical analysis of PHE.

Approaches to the formation of an image database in the explosive ordnance identification system for further training of a neural network

The use of unmanned aerial vehicles to detect explosive objects is a promising area of demining. Currently, a significant role in identifying detected objects remains with the operator (human). To solve the problem of identifying images of explosive objects, it is advisable to equip unmanned aerial vehicles or other robotic systems with appropriate software and hardware with built-in elements of artificial intelligence that would allow to recognize detected objects with a certain probability by their characteristic local features (shape/image, body material, body temperature) and classify them without operator participation. Recognition consists in calculating the relevance measure between the descriptions of the object and the reference, whose images are given as sets of descriptor vectors, and optimizing the values of this measure for the reference database. The article discusses the main algorithms (methods) for image identification and selects those that have higher performance and are built according to the binary type, which simplifies the calculation process and reduces costs. In general, the combination of ORB and BRISK descriptors gives better results, since it takes into account color distortion, poor lighting, noise, and different projections. The paper proposes approaches to forming a database of explosive ordnance images, which will further serve as an input layer for training a neural network to identify explosive ordnance. In the course of the work, a program code was written that makes it possible to test the performance of combined methods (algorithms) of image identification in terms of database formation, storage and testing.

Improvement on the Integrit Rate of the first fime inpatient hemodialysis nursing instruction

<p>治療前進行完整的護理指導可減輕病人對治療與照護的焦慮並提升自我照顧能力。統計本單位2019年11月-2020年3月護理指導完整率僅59.6%，經調查護理指導不完整原因為：護理人員因忙碌而忘記護理指導、透析中衛教時護理師被其他病人叫喚而中斷、護理師憑經驗衛教缺乏一致性、病人因透析中不舒服而未執行護理指導、部份護理指導沒有衛教單張、衛教單張字體不合適且都是文字缺乏圖表說明、介入護理指導時機太晚、缺乏護理指導後交班與查核機制。透過文獻查證後選定七項改善對策：修訂護理指導執行內容、規劃交班內容並將衛教紀錄單資訊化導入提醒設計、審閱與制定衛教單張並集結成透析前訪視手冊、新增首次血液透析前訪視護理指導方式、制定護理指導查核作業、製作多媒體影片、QR code連結指導單張及影片。經改善對策後，住院病人首次接受血液透析護理指導完整率由59.6％提升至100％，並間接提升病人滿意度，達本專案目標且對護理照護品質有正面肯定。</p> <p> </p><p>This project is aiming to increase the integrity rate of the nursing instruction for the first time hospitalized patients hemodialysis. complete rate of nursing instruction can reduce patients’ anxiety about their treatment and care as well as improve their self-care ability. Statistic showed, from November 2019 to March 2020, the Integrity rate of nursing instruction was only 59.6%. </p> <p>After clinical investigation, incomplete nursing instruction is the cause, nine improvement countermeasures were provided after literature review they are: revising the implementation content of nursing instruction, specifying guidance items to be included in the shift handover, formulating health education leaflet, making the pre-dialysis visit pamphlet and multimedia video, Standardizing the information and reminder design of health education recording sheet, adding nursing instruction for the first Pre-hemodialysis visit, developing nursing guidance inspection program and QR code linked guidance leaflet and videos. </p> <p>After these strategies were executed, the complete rate of the first time hospitalized patients receiving hemodialysis nursing instruction increased from 59.6% to 100%, and the patient satisfaction has been indirectly improved. This project successfully achieved its objectives, and the quality of nursing care was also improved positively.</p> <p> </p>

Neobots: an open-source platform for a low-cost neonatal incubator with internet of things approach

<div align="center">A baby incubator implements the internet of things (IoT) with an architectural design combining several scientific fields, such as networks, software, and hardware. Furthermore, this research develops an open-source platform called Neobots, including open-source program code to create a baby incubator. Then an overview of the system includes sending sensor data to the IoT Broker with the message queuing telemetry transport (MQTT) protocol and automatically storing data in the database. The results of the comparison value on each temperature sensor with a temperature sensor at the midpoint with an error of less than 0.7°C. Then testing the fuzzy between the Neobots program and the simulation in MATLAB got an error rate of 0-28.27%. In addition, in less than 10 minutes, the system response can adjust the temperature conditions to a setpoint value of 34°C from 29°C, and the average error value is 0.35°C during 1 hour of the Fuzzy implementation on the incubator. Then transfer data from the incubator to the database in a room without noise and full noise to get results for lost data less than 16.41% and 42.14%, delay rates between 0-6 seconds and 0-7 seconds with testing for 1 hour at every 1 second.</div>

Fabrication of a Low-Cost Fused Filament Fabrication-based 3D Printer and Investigation of the Effect of Process Parameters on Mechanical Properties of 3D-Printed Samples

Additive Manufacturing (AM) techniques add material layer-by-layer to fabricate parts or products, compared to subtractive manufacturing processes, where the material is removed to obtain the final product. The most common method among AM techniques is fused filament fabrication (FFF), which uses filament material to print objects into end products. The present study's aims include designing and fabricating a custom FFF-based 3D printer and investigating the effects of three process parameters on the tensile properties of the 3D-printed samples. Initially, the 3D printer was successfully fabricated. The locally fabricated 3D printer uses Marlin Firmware 2.0 as programming code to control different functionalities of the printing processes. After fabrication and calibration, the printer 3D-printed a few samples successfully. Moreover, a design of experiments plan was formulated to print tensile specimens based on the levels of the process parameters. Tensile testing was performed, and the analysis of variance (ANOVA) confirmed that the process parameters significantly affected the tensile strength. The effects of the process parameters were then analyzed, along with the defect formation and microstructure analysis. Finally, optimum parameters for printing PLA parts with better tensile properties were figured out for the designed 3D printer.

Using interactive Jupyter Notebooks and BioConda for FAIR and reproducible biomolecular simulation workflows.

Interactive Jupyter Notebooks in combination with Conda environments can be used to generate FAIR (Findable, Accessible, Interoperable and Reusable/Reproducible) biomolecular simulation workflows. The interactive programming code accompanied by documentation and the possibility to inspect intermediate results with versatile graphical charts and data visualization is very helpful, especially in iterative processes, where parameters might be adjusted to a particular system of interest. This work presents a collection of FAIR notebooks covering various areas of the biomolecular simulation field, such as molecular dynamics (MD), protein-ligand docking, molecular checking/modeling, molecular interactions, and free energy perturbations. Workflows can be launched with myBinder or easily installed in a local system. The collection of notebooks aims to provide a compilation of demonstration workflows, and it is continuously updated and expanded with examples using new methodologies and tools.

Flat rent price prediction in Berlin with web scraping

Internet data pose a challenge to the traditional system of official statistics, which relies on more conventional sources such as surveys and registers, not readily adaptable to rapid changes. Expanding this system to include internet data is currently at an experimental stage, exploring these sources’ potentials and benefits. This paper describes a project conducted within the ESSnet Trusted Smart Statistics – Web Intelligence Network framework. It investigates the use of online apartment listings to analyze the rental market. We used web scraping to extract information from two online real estate portals for flats in the city of Berlin. Using this data, we developed a model to predict rental prices per square meter based on the accommodation’s features and location within the city. We detected offers which appear in both portals by means of statistical matching and removed duplicate offers. Missing values were treated by multiple imputation. The prediction model is a semi-parametric approach where the postal districts are used to describe the location effect. Comparisons with microcensus results and the local rent index reveal significant differences between the market of online flat offers and the stock of existing flat contracts. Interested readers will find the commented programming code in the internet supplement.

Exploratory data science on supercomputers for quantum mechanical calculations

Literate programming—the bringing together of program code and natural language narratives—has become a ubiquitous approach in the realm of data science. This methodology is appealing as well for the domain of Density Functional Theory (DFT) calculations, particularly for interactively developing new methodologies and workflows. However, effective use of literate programming is hampered by old programming paradigms and the difficulties associated with using high performance computing (HPC) resources. Here we present two Python libraries that aim to remove these hurdles. First, we describe the PyBigDFT library, which can be used to setup materials or molecular systems and provides high-level access to the wavelet based BigDFT code. We then present the related remotemanager library, which is able to serialize and execute arbitrary Python functions on remote supercomputers. We show how together these libraries enable transparent access to HPC based DFT calculations and can serve as building blocks for rapid prototyping and data exploration.

Research on Machine Learning Program Generation Algorithm Based on AORBCO

Abstract The design and development of machine learning programs require selecting appropriate data and algorithms, and coding and debugging based on specific task requirements and the programming experience of developers. However, the current knowledge structure in the field of machine learning is relatively complex, lacking systematic organization, and developers often face the problem of lack of experience when choosing algorithms and designing programs, resulting in a long development cycle and easy errors in machine learning programs. In response to the above issues, this article proposes and designs a machine learning program generation algorithm based on the AORBCO model. The program generation ability includes two sub abilities: algorithm decision-making ability and code generation ability. AD-EKG has been designed for algorithmic decision-making ability, allowing Ego to select appropriate machine learning algorithms based on datasets in massive data. This algorithm combines the characteristics of the AORBCO model's domain knowledge base, knowledge graph based recommendation algorithm, and collaborative filtering algorithm. By calculating the descriptive and structural information between the dataset and algorithm, the interaction probability between the dataset and algorithm is obtained, allowing Ego to make algorithmic decisions interaction probability based. Results of the experiment have shown that the AD-EKG algorithm can fully utilize structural and descriptive information to improve the accuracy of Ego algorithm decision-making. CodeT5-EKG has been designed for code generation capability, allowing Ego to automatically generate machine learning program code. This algorithm combines the CodeT5 generative model with the domain knowledge base of the AORBCO model, by adding auxiliary information extracted using DPR technology to the code generation task, and performing diversified fusion operations to improve code generation quality. The CodeT5-EKG algorithm combines the creativity and efficiency of generative models and DPR technology, and is an algorithm that can improve the quality of generated code while also having the advantages of generative models. The experiments have proved that the code generated by this algorithm has better quality compared to other generative models with the same number of parameters.

Automated Infrastructure as Code Program Testing

Automated Infrastructure as Code Program Testing

IMPLEMENTASI APLIKASI MULTIMEDIA DAN PENGOLAHAN DATA LAYANAN PADA KANTOR URUSAN AGAMA KECAMATAN PASAR JAMBI

Pasar Jambi District Religious Affairs Office, Jambi City, Jambi Province. The function of the Pasar Jambi District Religious Affairs Office is to carry out marriage registration, reconciliation, mosque construction, zakat, endowments and other social services. This research is to build a Multimedia Application Service for the Pasar Jambi District Religious Affairs Office. The Service Multimedia Application is a comprehensive overview of marriage registration which includes information, registration, announcements, services, facilities and infrastructure as a back-up for the Pasar District KUA Service Multimedia Application. Therefore, profile and service data must be available, complete and accountable. Through thesis activities, Nurdin Hamzah University tried to create a multimedia service application at KUA Pasar which is located in Jambi Province in an effort to create a Multimedia Application for Wedding Services at KUA Pasar Jambi. Based on the identification of the problem, therefore, the objectives of this thesis research activity are: 1) create a profile of the KUA Pasar and 2) a Multimedia Application for Wedding Services that can be accessed computerized and programmed using the Visual Studio Code programming language, MySQL database, XAMPP, Capcut and Medibang Paint. The requirements for the KUA Service Multimedia Application System are: 1) The input required in creating the system is service video data, 2) The processes required for creating the system are the main page process, the history page process, the structure page process, and the vision and mission page process and 3) The output required is a video of KUA services.

A Method to Quantitative Compare Obfuscating Ttransformations

The paper considers the problem of quantitative comparison of potency and resistance of practically applied obfuscating transformations of program code. A method is proposed to find the potency and resistance of transformations by calculating the «comprehensibility» of the obfuscated and deobfuscated versions of a program, respectively. As a measure of program comprehensibility, it is proposed to use the similarity of this program to the approximation of its «most comprehensible» version. Based on the proposed method a model to assess potency and resistance was built, the main elements of which are: a set of investigated obfuscating transformations, a similarity function, a method to approximate the most comprehensible version of the program and a deobfuscator. To implement this model 1) obfuscating transformations provided by Hikari obfuscator are chosen; 2) 8 similarity functions are constructed by machine learning methods using static characteristics of programs from CoreUtils, PolyBench and HashCat sets; 3) the smallest program version was chosen as an approximation of the most comprehensible program version (found among the versions obtained using optimization options of GCC, Clang and AOCC compilers); 4) a program deobfuscation scheme based on the optimizing compiler from LLVM was built and implemented. The results of the potency and resistance for sequences of transformations of lengths one, two and three were experimentally obtained. These results showed consistency with the results of independent potency and resistance evaluations obtained by other methods. In particular, it was found that the highest potency and resistance are demonstrated by sequences of transformations starting with transformations of the control flow graph, and the lowest resistance and potency are generally demonstrated by sequences that do not contain such transformations.