Possibility Of Further Optimization Research Articles

General measurements with limited resources and their application to quantum unambiguous state discrimination

In this report, we present a framework for implementing an arbitrary n-outcome generalized quantum measurement (POVM) on an m-qubit register as a sequence of two-outcome measurements requiring only single ancillary qubit. Our procedure offers a particular construction for the two-outcome partial measurements which can be composed into a full implementation of the measurement on any gate architecture. This implementation in general requires classical feedback; we present specific cases when this is not the case. We apply this framework on the unambiguous state discrimination and analyze possible strategies. In the simplest case, it gives the same construction as is known, if we opt for performing conclusiveness measurement first. However, it also offers possibility of performing measurement for one of the state outcomes first, leaving conclusiveness measurement for later. This shows flexibility of presented framework and opens possibilities for further optimization. We present discussion also on biased qubit case as well as general case of unambiguous quantum state discrimination in higher dimension.

PHYSICOCHEMICAL CHARACTERISTICS OF RED WINES (CABERNET SAUVIGNON AND TEMPRANILLO) FROM ENSENADA, BAJA CALIFORNIA

Ensenada wine country, in the State of Baja California, Mexico, accounts for approximately 70–80 % of Mexico’s wine production. Despite its significance, detailed knowledge of the physical and chemical properties of wines remains limited. In this study, we examined nine physicochemical properties of 69 commercial red wines produced from the Tempranillo and Cabernet Sauvignon varietals in the San Vicente, Santo Tomás, and Guadalupe valleys. The pH, total acidity, acetic acid, lactic acid, malic acid, total polyphenols, glucose/fructose ratio, alcohol content, and red color intensity were all analyzed. Tempranillo wines showed significantly higher levels of acetic acid, lactic acid, and total acidity, but lower levels of total polyphenols and malic acid than Cabernet Sauvignon wines. Furthermore, wines from the Santo Tomás region have significantly higher alcohol content, glucose/fructose ratio, total polyphenols, red color intensity, and total acidity, distinguishing them from the wines of San Vicente and Guadalupe. Our results highlight the influence of the grape variety on wine chemistry, emphasizing the possibility for further optimization of the winemaking processes for the benefit of vine growers, enologists, and wine production in the region.

Spatio-temporal optimization of construction elevator planning in high-rise building projects

Appropriate construction elevator planning is beneficial for successfully completing high-rise building projects. Construction elevator planning typically remains unchanged throughout a high-rise building project or seldom involves the designation of service days, which causes such planning not to respond effectively to variable transportation demands and adversely affects the possibility of further optimization. Another limitation is that the installation and dismantlement dates of construction elevators, which are highly important when multiple construction elevators are used, cannot be explicitly determined in construction elevator planning. To solve these weaknesses, this paper proposes an approach to assign construction elevator cabs to serve designated days and floors based on actual transportation demands from the perspective of spatio-temporal optimization with mixed-integer programming. The experimental case study results show that the presented planning can significantly reduce the total cost when compared to other planning and can provide evidence and explanation for determining the installation and dismantlement dates of construction elevators.

Mechanical Abrasion of Laser‐Machined Highly Hydrophobic Stainless Steel Surface Depending on Surface Topography

Stainless steel (SST) is an important material for a variety of applications including construction, food, and medical. Highly hydrophobic wetting properties enhance the surface properties of SST to support processes such as self‐cleaning . However, applications also require long‐term stability of such properties against chemical and mechanical influences from the environment or technical processes. Therefore, the reduction of highly hydrophobicity of chemically modified, laser‐textured SST surfaces is investigated in relation to abrasive wear using hierarchical structures, micro‐/nanotextured surface, and support structures that shield the highly hydrophobic pattern. Surface textures comprising ridges, grooves (size: 50–500 μm; depth: up to 100 μm), and a nanostructured grooves bottom are machined by infrared ultrashort pulse laser ablation into SST and are subsequently chemically modified by a self‐assembled monolayer of a fluorinated, phosphonic acid‐modified alkane. Abrasive wear tests of these surfaces show decreasing water contact angles with increasing wear of the modified surface of the support structures. However, there is good stability of the highly hydrophobic properties due to the protection of modified areas at the groove bottom. The proposed wetting model for such designed functionalized laser textures shows possibilities for further optimization of such robust highly hydrophobic surfaces and adaptation to specific applications.

A highly-selective layer-by-layer membrane modified with polyethylenimine and graphene oxide for vanadium redox flow battery

ABSTRACT A selective composite membrane for vanadium redox flow battery (VRFB) was successfully prepared by layer-by-layer (LbL) technique using a perfluorosulfonic sulfonic acid or Nafion 117 (N117). The composite membrane referred as N117-(PEI/GO)n, was obtained by depositing alternating layers of positively charged polyethylenimine (PEI) and negatively charged graphene oxide (GO) as polyelectrolytes. The physicochemical properties and performance of the pristine and composite membranes were investigated. The membrane showed an enhancement in proton conductivity and simultaneously exhibited a notable 90% reduction in vanadium permeability. This, in turn, results in a well-balanced ratio of proton conductivity to vanadium permeability, leading to high selectivity. The highest selectivity of the LbL membranes was found to be 19.2 × 104 S.min/cm3, which is 13 times higher than the N117 membrane (n = 0). This was translated into an improvement in the battery performance, with the n = 1 membrane showing a 4–6% improvement in coulombic efficiency and a 7–15% improvement in voltage efficiency at current densities ranging from 40 to 80 mA/cm2. Furthermore, the membrane displays stable operation over a long-term stability at around 88% at a current density of 40 mA/cm2, making it an attractive option for VRFB applications using the LbL technique. The use of PEI/GO bilayers maintains high proton conductivity and VE of the battery, opening up possibilities for further optimization and improvement of VRFBs.

INCREASING THE EFFICIENCY OF HEAT PUMP USING CIRCULATING WATER OF POWER PLANTS

In the article analytical studies of the efficiency of heat pumps in the thermal schemes of thermal and nuclear power plants for centralized heating and hot water supply systems taking into account the climatic conditions of Ukraine have been carried out. This task meets the objectives of energy saving and reduces emissions of harmful substances into the environment. The main focus is on improving the efficiency of the heat pump power supply system, which integrates an alternative energy source. An analysis of the exergy parameters of heat pump cycles has been performed, which have made it possible to establish that the most efficient working fluid of the cycle is freon R152a, at which the highest heat pump conversion coefficient and the lowest compressor power indicator are achieved. Ways and methods leading to reduction to underproduction of the electricity by turbine of of power plant and to increasation of the efficiency of a steam turbine cycle are proposed. It is shown that the efficiency of the system is most affected by losses in the evaporator, so the efficiency of this element of the heat pump should be given the most attention when using the energy of circulating water. An additional aspect of the novelty of the proposed method lies in the possibility of further optimization of the technical and economic parameters of the power system. A methodology based on the use of the exergy method of analysis to substantiate the conditions for the rational use of heat pumps for power plants in the utilization of low-grade heat of circulating water for cooling the turbine condensers is proposed, which can be considered as innovative way. Results open the further prospects for the development of heat pump heat supplyhas been proposed.

Similarity learning of product descriptions and images using multimodal neural networks

Multimodal deep learning is an emerging research topic in machine learning and involves the parallel processing of different modalities of data such as texts, images and audiovisual data. Well-known application areas are multimodal image and video processing as well as speech recognition. In this paper, we propose a multimodal neural network that measures the similarity of text-written product descriptions and images and has applications in inventory reconciliation and search engine optimization. We develop two models. The first takes image and text data, each processed by convolutional neural networks, and combines the two modalities. The second is based on a bidirectional triplet loss function. We conduct experiments using ABO! (ABO!) dataset and an industry-related dataset used for the inventory reconciliation of a mechanical engineering company. Our first model achieves an accuracy of 92.37% with ResNet152 on the ABO! dataset and 99.11% with MobileNetV3_Large on our industry-related dataset. By extending this model to a model with three inputs, two text inputs and one image input, we greatly improve the performance and achieve an accuracy of 97.57% on the ABO! dataset and 99.83% with our industry related inventory dataset. Our second model based on the triplet loss achieves only an accuracy of 73.85% on the ABO! dataset. However, our experiments demonstrate that multimodal networks consistently perform better when measuring the similarity of products, even in situations where one modality lacks sufficient data, because it is complemented with the other modality. Our proposed approaches open up several possibilities for further optimization of search engines.

Tree‐like PA6/PVP/CS hemodialysis membrane to improve the contradiction between medium molecular toxins and proteins

AbstractThe contradiction between sufficient removal of middle molecular toxins and the retention of beneficial proteins is a great challenge for hemodialysis. The tree‐like structure was introduced to prepare a tree‐like PA6/PVP/CS nanofibrous membrane, which has good performance in the effective removal of middle molecular toxins and retention of beneficial proteins. The removal rates of urea and lysozyme were 75.4% and 46.3%, respectively, and the retention rate of bovine serum albumin (BSA) was 90.3%, which were 9%, 13%, and 18% higher than that of the membrane without tree‐like structure. In addition, to explore the possibility of further optimization of the tree‐like hemodialysis membrane, AC was added to prepare a tree‐like PA6/PVP/CS@AC nanofibrous membrane, which the urea removal rate was increased to 83.9%. The introduction of a tree‐like structure provides an effective way to solve the problem of protein loss and has great application potential in hemodialysis.

Dependence of the Gd concentration range for thermally induced magnetization switching on the intrinsic damping

Ultrafast magnetization switching induced by a single femtosecond laser pulse in the absence of an applied magnetic field has attracted extensive attention due to its great potential for low energy and ultrafast storage applications. However, pulse helicity-independent switching is mainly used for Gd-based materials, and it is now necessary to explore the possibility of further optimization depending on the composition and damping coefficients. For the GdFe alloy with low Gd concentration, we modulate the damping constant for a comparative analysis based on atomic spin simulations. The simulation results show that an appropriate increase in the high damping ratio αFe/αGd not only helps to extend the pulse fluence range for switching but also reduces the minimum Gd concentration requirement for transient ferromagnetic-like state. The results show that the pulse fluence threshold of switching at low Gd concentration is more sensitive to the damping ratio αFe/αGd. On the contrary, modulating the damping ratio αFe/αGd at high Gd concentrations almost does not cause the shift of pulse fluence threshold. The lower Gd concentration for thermally induced magnetization switching is expected to be unlocked by the engineering of element-specific damping.

Two-stage evaporator for R744 heat pumps using greywater as heat source

Heat pumps are pinpointed as a key technology in decarbonizing buildings' heat supply, which is currently dominated by fossil-fuel based systems. To minimize the environmental impact of heat pumps over their lifetime, selecting natural working fluids (refrigerants) is the only viable long-term choice. Independent of the refrigerant, the efficiency of a heat pump is closely linked to temperature of the applied heat source, and to this end, wastewater is a promising candidate that is abundant in all urban environments. This experimental study investigates a novel two-stage, ejector-supported, brazed plate evaporator for its use in R744 (CO2) heat pumps with greywater as a heat source and compares it to more conventional evaporators. The work shows that splitting the evaporation process in two stages with an ejector in between allows reducing the evaporation pressure while the compressor suction pressure can be increased, in some cases significantly. Even if several possibilities for further optimization of the novel two-stage evaporator were identified, the results show heat pump efficiency improvements above 10% compared to an equivalent heat pump with a well-performing one-stage evaporator. Heat pump systems aiming at utilizing maximum temperature difference for the greywater should use a high pressure lift ejector.

РАСЧЕТНО-ЭКПЕРИМЕНТАЛЬНАЯ ОЦЕНКА РЕСУРСА КОМПОЗИТНОГО БАКА ВЫСОКОГО ДАВЛЕНИЯ В УСЛОВИЯХ ПОЛЗУЧЕСТИ

Numerical analysis and experimental results are employed to predict the long-term strength of a metal-composite high pressure vessel (MCHPV) used to store fuel in spacecraft electric propulsion systems. The research results indicate that the considered MCHPV has high resource indicators. This makes it possible to ensure the required characteristics of the vessel resource during a given service life under creep conditions in the material of load-bearing shell. A conclusion is made about the possibility for further optimization of the MCHPV structure and increasing its weight efficiency.

745 INTERDISCIPLINARY EVALUATION IN RESISTANT ARTERIAL HYPERTENSION

Abstract Background Arterial hypertension is a complex and in most cases multifactorial pathology. Despite the numerous pharmacological treatments available, it is estimated that in Europe only 25%-39% of hypertensive patients achieve adequate blood pressure (BP) control. Renal arteries denervation (RDN) is an additional therapeutic weapon, complementary to Optimal Medical Therapy (OMT) in patients with resistant or refractory primary (or essential) arterial hypertension. In order to improve patients management and select those who are eligible for renal denervation, our Center has established the Interdisciplinary Group for the Treatment of Resistant Arterial Hypertension (G.I.T.I.A.R.), including Cardiologists, Nephrologists, Internists and Geriatricians. Methods From January 2018 to July 2022 the G.I.T.I.A.R. held twelve meetings evaluating 62 patients with resistant or refractory forms of arterial hypertension, contraindications or intolerance to antihypertensive drugs, suspected secondary or pseudoresistant forms (i.e. linked to poor patient compliance, drugs and/or inadequate dosages, concomitant intake of substances with hypertensive effect, incorrect measurements). For each of them, medical therapy was optimized and the need for second level diagnostic tests, multi-specialist follow-up and RDN candidacy were assessed. After three, six, twelve months and then annually following RDN, the patients underwent clinical and multi-specialist evaluation (where deemed appropriate), blood tests monitoring and 24-hour ambulatory blood pressure monitoring (ABPM). Results Of the 62 patients evaluated by the G.I.T.I.A.R., 64.5% (n=40) were male. The mean age at the time of evaluation was 64 years (range 18-87). After the first collegial discussion, 46.8% (n=29) have been declared eligible for RDN, while 53.2% (n=33) of the patients was initially rejected: 39.4% of these (n=13) for suspected or ascertained secondary hypertension, 12.1% (n=4) for the possibility of further optimization of medical therapy, 48.5% (n=16) for the presence of inclusion or exclusion criteria of ongoing studies design. Among the excluded patients, six presented moderate renal artery stenosis on non-invasive imaging: in two patients (33.3%) the stenosis turned out to be hemodynamically significant on angiographic and functional evaluation (Pd/Pa measurement), so renal angioplasty was performed; RDN was performed in the remaining 66.7% (n=4), in which a hemodynamic significance of the stenosis was excluded. Of the subgroup who had optimized medical therapy, one patient (25%) was subsequently referred to RDN for failure of all pharmacological strategies, while 3 of 4 (75%) achieved adequate BP control. Conclusions Resistant arterial hypertension is associated with an increased risk of development and progression of cardiovascular and renal diseases, with a significant impact on mortality and morbidity. Renal denervation has proved to be an effective and safe therapeutic strategy, complementary to OMT, whose selection of the ideal patient actually represents one of the greatest challenges. The integrated multidisciplinary approach improves the management of the hypertensive patient, the individualization of therapy and allows the identification of subjects who may benefit from RDN.

Microstructure Comparison for AlSn20Cu Antifriction Alloys Prepared by Semi-Continuous Casting, Semi-Solid Die Casting, and Spray Forming

Antifriction alloys such as AlSn20Cu are key material options for sliding bearings used in machinery. Uniform distribution and a near-equiaxed granularity tin phase are generally considered to be ideal characteristics of an AlSn20Cu antifriction alloy, although these properties vary by fabrication method. In this study, to analyze the variation of the microstructure with the fabrication method, AlSn20Cu alloys are prepared by three methods: semi-continuous casting, semi-solid die casting, and spray forming. Bearing blanks are subsequently prepared from the fabricated alloys using different processes. Morphological information, such as the total area ratio and average particle diameter of the tin phase, are quantitatively characterized. For the tin phase of the AlSn20Cu alloy, the deformation and annealing involved in semi-continuous casting leads to a prolate particle shape. The average particle diameter of the tin phase is 12.6 µm, and the overall distribution state is related to the deformation direction. The tin phase of AlSn20Cu alloys prepared by semi-solid die casting presents both nearly spherical and strip shapes, with an average particle diameter of 9.6 µm. The tin phase of AlSn20Cu alloys prepared by spray forming and blocking hot extrusion presents a nearly equilateral shape, with an average particle diameter of 6.2 µm. These results indicate that, of the three preparation methods analyzed in this study, semi-solid die casting provides the shortest process flow time, whereas a finer and more uniform tin-phase structure may be obtained using the spray-forming process. The semi-solid die casting method presents the greatest potential for industrial application, and this method therefore presents a promising possibility for further optimization.

High ligand efficiency quinazoline compounds as novel A2A adenosine receptor antagonists

The past fifty years have been marked by the surge of neurodegenerative diseases. Unfortunately, current treatments are only symptomatic. Hence, the search for new and innovative therapeutic targets for curative treatments becomes a major challenge. Among these targets, the adenosine A2A receptor (A2AAR) has been the subject of much research in recent years. In this paper, we report the design, synthesis and pharmacological analysis of quinazoline derivatives as A2AAR antagonists with high ligand efficiency. This class of molecules has been discovered by a virtual screening and bears no structural semblance with reference antagonist ZM-241385. More precisely, we identified a series of 2-aminoquinazoline as promising A2AAR antagonists. Among them, one compound showed a high affinity towards A2AAR (21a, Ki = 20 nM). We crystallized this ligand in complex with A2AAR, confirming one of our predicted docking poses and opening up possibilities for further optimization to derive selective ligands for specific adenosine receptor subtypes.

Optimization of the routing of capsule network based on multiscale information and self-attention mechanism

Capsule network (CapsNet) is well known as an evolution of classical convolution neural network, which is good at recognizing postures, orientations, and textures, thus achieving promising results in areas such as image classification. However, the high computational complexity hinders them from building larger models. Fortunately, reducing the complexity of the routing of CapsNet through the channel attention mechanism has achieved significantly good results, whereas there is a possibility of further optimization of the storage and precision. Therefore, we propose an improved version of combination of multiscale routing and self-attention mechanism on the basis of the traditional channel attention routing. First, we absorb multiscale information into the routing process, thus enriching the representation capability of the capsule. Second, the global information of the capsule is captured by the self-attention routing, which leads to less misclassification errors. Finally, the proposed self-attention routing is further improved by a soft-threshold strategy, which resists the interference of background noises on complex datasets. Experimental results on MNIST, affNIST, and Cifar10 show that the proposed methods can obtain better performances with fewer training parameters compared with traditional methods on average.

Comparative study of technologies for extraction of biologically active substances from the raw material of animal origin

Technologies of isolation and concentration of biologically active substances, developed in the middle of the 20th century, need adjustment and adaptation to modern conditions both to increase the activity of substances and for greater economic efficiency. The aim of the research is the comparison of dynamics of biologically active compounds extraction from porcines pancreas in two methods: the saline method based on 0.9% sodium chloride solution, and the acidic method based on 2.4% trichloroacetic acid solution. Also the purpose of research is to assess the possibilities for further optimization of technologies. The total protein concentration based on the biuret reaction in the samples taken during the extraction, as well as the calculation and analysis of the point degrees and rates of extraction are chosen as the controlled parameters. Local maxima of the protein yields into the extractant media at the 60th, 135th and 255th minute were recorded during saline extraction; and at the 75th and 135th minute during acid extraction. Also the proteomic profile of the extracts was studied. Wide range of compounds with molecular weight of less than 52 kDa was found in extracts based on physiological saline solution, and protein substances of whole presented range of molecular weights in trichloroacetic acid based extracts were considered. The predominance of low molecular weight protein fraction of interest was noted also in this method of extraction in comparison with the other methods of extraction. According to the UniProt database, we assume availability of probable compounds with a molecular weight of less than 30 kDa in the purified acidic extract. The presence of some proteins absent in the final saline extract was noted. The acidic erythrograms showed a weak degrading effect of both types of extracts on the membranes of rat erythrocytes, as well as the cytoprotective effect of acidic ultrafiltrates (less than 3 kDa). The obtained results prove a better efficiency of trichloroacetic acid extraction method used for obtaining a mixture of a wide range of compounds, including biologically active substances of low molecular weight.

Investigation of the Kinetic Regularities of the Process of Biodegradation of Betaine Surfactant by Bacteria of the Genus Pseudomonas

Surfactants are extremely common organic compounds that enter the environment in large quantities in the form of household and industrial wastewater. The toxicity of surfactants for biological systems, the high concentration of substances and the duration of the bioremediation process of polluted ecosystems requires improving the biotechnology of microbial wastewater treatment for surfactants. The purpose of this work is to study the kinetic laws of the reaction of the biological decomposition of betaine surfactants. Pseudomonas bacteria were used as bio-destructors of the surfactants. Kinetic data were obtained to create the possibility of further optimization of research on the biodegradation of toxic organic substances. The strains that were promising destructors of cocamidopropylbetaine were selected. The toxicity of high concentrations of surfactants in relation to microorganisms of the genus Pseudomonas was proven. Safe values of the surfactant concentration for conducting biodegradation tests were found. A kinetic model of the biodestructive process was constructed. It proves that the processes of biodegradation are described by a kinetic equation of the first order. With the derived equation, it is possible to determine the time interval of biodegradation of cocamidopropylbetaine to the specified values by means of mathematical calculations.

Quality evaluation questionnaires \u2013 nursing homes (QEQ-NH); validation of questionnaires for measuring quality of care in nursing homes from various perspectives

BackgroundThis study aims to describe the validation and optimization of a new instrument designed to comprehensively measure and evaluate the quality of care in nursing homes; the Quality Evaluation Questionnaires for Nursing Homes (QEQ-NH). This instrument comprises several questionnaires on the perceived quality of care for various perspectives (e.g. clients, family and professional caregivers) and covers eight themes of the national quality framework for nursing home care in the Netherlands.MethodsData were collected in six nursing homes between September 2017 and June 2018, among 359 residents, 48 family caregivers and 648 professional caregivers who completed a subgroup-specific questionnaire of the QEQ-NH. Construct and criterion validity of the three questionnaires were tested with item- and scale analyses. Content validity of the questionnaires was tested in cognitive interviews with 20 participants (7 residents, 5 family caregivers and 8 professional caregivers).ResultsPsychometric analyses confirmed the multidimensionality and reliability of the three questionnaires, and the cognitive interviews showed various possibilities for further optimization of the instrument. Construct, criterion and content validity of the three questionnaires ranged from acceptable to good. Cronbach’s alphas were > .70 for almost all scales. More than half of the items were candidate for optimization according to the cognitive interviews, mainly due to clarity or knowledge problems, and the questionnaires of the QEQ-NH were optimized accordingly.ConclusionsThe Quality Evaluation Questionnaires for Nursing Homes (QEQ-NH) provide a solid basis to measure the quality of nursing home care, by covering the national quality themes and by integrating the various perspectives of all parties involved. With real-time feedback, the instrument provides the management and care teams with information to select possibilities or areas for improvement and to continuously monitor the effects of quality improvement in nursing homes.

Refined prognostic staging for resected pancreatic cancer by modified stage grouping and addition of tumour grade

BackgroundWith changes in T and N categories the 8th edition of the AJCC/UICC TNM staging system for pancreatic cancer resulted in improved prognostic staging, but inconsistencies were observed with specific stage groups. Tumour grading remains disregarded in prognostic staging. We aimed to validate the current staging system and to investigate the possibility of further optimization by integration of grading. Methods1946 patients undergoing upfront surgical resection for pancreatic adenocarcinoma from 10/2001 to 12/2015 were identified from a prospective institutional database. Survival analyses based on the 8th UICC TNM edition were performed and rare TNM subgroups were reallocated based on survival. The impact of tumour grade on stage-specific survival was assessed and a TNMG staging system was developed. ResultsThe 8th UICC staging system accurately stratified prognosis except for comparable survival in stages IB (pT2N0M0) and IIA (pT3N0M0). Regrouping of pT3N0M0 and pT1N1M0 to IB and of pT1N2M0 to II resulted in a modified staging system with higher consistency. High tumour grade (G3&G4 vs G1&G2) was associated with a significantly shorter survival in all new stage groups except for stage IV modified UICC. A TNMG-based prognostic stage grouping in which high tumour grade results in grouping with tumours of the next higher pTNM-stage resulted in improvement of prognostication in non-metastatic pancreatic cancer. ConclusionsThe 8th edition of the UICC TNM staging system leaves room for improvement. A TNMG staging system with adjustments in group-allocation of specific rarely occurring pTNM subgroups and integration of tumour grade results in improved prognostic stratification.

PARALLELIZATION OF RSA CRYPTOGRAPHIC ALGORITHM BASED ON CUDA TECHNOLOGIES

The paper examines the efficiency of the application of CUDA technologies for the parallelization of the cryptographic algorithm with the public key. The speed of execution of several implementations of the algorithm is compared: sequential implementation on the CPU and two parallel implementations – on the CPU and GPU. A description of the public key algorithm is presented, as well as properties that allow it to be parallelized. The advantages and disadvantages of parallel implementations are analyzed. It is shown that each of them can be suitable for different scenarios. The software was developed and several numerical experiments were performed. The reliability of the obtained results of encryption and decryption is confirmed. To eliminate the influence of external factors at the time of execution the algorithm was tested ten times in a row and the average value was calculated. Acceleration coefficients for message encryption and decryption algorithms were estimated based on OpenMP and CUDA technology. The proposed approach focuses on the possibility of further optimization through the prospects of developing a multi-core architecture of computer systems and graphic processors.