Terms Of Storage Research Articles

Disease Prediction in Edge Computing: A Privacy-Preserving Technique for PHI Collection and Analysis

Edge computing has garnered significant attention in recent years, as it enables the extension of cloud resources to the network edge. This enables the user to utilize virtually enhanced resources in terms of storage and computation at a lower cost. The edge-computing-assisted wireless wearable communication (EWWC) technology is a prime candidate for e-health edge applications to collect personal health information, which leads to disease learning and prediction. Ensuring privacy and efficiency of such a system in EWWC is extremely important. In this article, we introduce an efficient and privacy-preserving disease prediction scheme. We use the randomizable signature and matrices encryption technique to achieve identity protection and data privacy. The experimental analysis shows that our solution outperforms the existing solution in terms of computational costs and communication overhead. At the same time, it is able to provide data privacy, prediction model security, user identity protection, mendacious data traceability, and model verifiability. We also analyze potential future research directions related to this emerging area.

A Data Driven Approach to Measure Evolution Trends of City Information Modeling

This work aims to reveal the current status of the city information modeling (CIM) from massive patent data, using the latent Dirichlet allocation (LDA) model, and quantify the evolution trends of future topics by the Hidden Markov Model (HMM). The results show that the CIM technologies can be divided into 17 topics. At the present stage, the technologies related to the Internet of things (IOT), big data and data management are the focus of the research and development (R&D) of CIM patents. Compared with the software technology, further development is needed for the hardware technology supporting CIM, particularly in terms of information acquisition (cameras and sensors), storage, and information transmitters. This study deepens the understanding of the CIM-related technical categories, and clarifies the direction of the development and evolution of CIM technology, providing a strong support to decision-makers in urban management.

Effects of competitive adsorption on production capacity during CO2 displacement of CH4 in shale

During CO2 displacement of CH4 in shale, competitive adsorption results in reduced pore space used for gas flow in shale, which is closely associated with the production capacity of shale-gas reservoirs. Thus, the present work investigates the effects of CO2–CH4 competitive adsorption on production capacity. Herein, a slit–pore model is developed in terms of gas storage (CO2 and CH4) and graphene pores using molecular dynamics and implemented via large-scale atomic/molecular massively parallel simulator. The effects of CO2 injection pressure, temperature, and velocity and of pore size on CO2–CH4 displacement and competitive adsorption properties are simulated and examined. Hence, the displacement efficiency of CH4 and the adsorption layer thickness of the CO2–CH4 binary mixture are determined. Moreover, based on a basic seepage model of planar linear flooding, the effect of CO2–CH4 competitive adsorption on production capacity is analytically investigated. Results demonstrate that the production capacity with consideration of adsorption layer thickness is less than that without consideration of adsorption layer thickness, illustrating that CO2–CH4 competitive adsorption behaviors are closely connected with permeability, flow rate, and production capacity of shale-gas reservoirs, especially for shale-gas reservoirs containing large numbers of pores and slits.

Synthesizing Wideband Frequency-Invariant Shaped Patterns by Linear Phase Response-Based Iterative Spatiotemporal Fourier Transform

A new approach for synthesizing wideband frequency-invariant (FI)-shaped patterns is presented. This method is a significant extension of the original iterative spatiotemporal Fourier transform (STFT) method that only deals with wideband FI pencil-beam patterns. Based on the original method, the wideband pattern can be regarded as a spatiotemporal spectral distribution, and the relationship between the spatiotemporal spectral distribution and finite-impulse-response (FIR) filter coefficients can be built as an STFT, which can be efficiently calculated by using 2-D fast Fourier transform (2-D-FFT). To achieve desired FI-shaped pattern performance, the spatiotemporal spectral distribution is iteratively adjusted by two new techniques called wideband pattern shaping and linear phase response (LPR)-based modification. Different from the constant phase response (CPR) processing in the original iterative STFT method, the LPR-based modification uses more relaxed phase requirements, thus releasing much more degrees of freedom. Numerical results show that the proposed method is effective even for very complicated pattern requirements, and it is very efficient in terms of both computation and storage. Besides, the proposed method can take into account the effects of frequency-variant antenna element patterns and mutual coupling in the periodic array structure.

Justification of safe shelf life of whole wheat flour of various sizes, depending on the processing method

The objects of this study were wheat grain (Shortandinskaya variety, harvest 2021) and wheat grain grinding products – whole grain (whole-ground) wheat flour of coarse, medium, and fine grinds. Studies have been carried out to establish the terms of safe storage of whole-grain (whole-ground) wheat flour of various sizes. Samples of whole-grain flour of coarse, medium, and fine grinding were obtained by grinding wheat grain in a finger-type single-rotor eight-row disintegrator. The resistance to storage of samples of whole-grain wheat flour of various sizes, as well as treated with gases (nitrogen, carbon dioxide) with a concentration of 2.0 mg/l, at a pressure of P=2.0 atm for 10 minutes, was investigated. Based on the indicators of QMAFAnM, the acid number of fat, and the acidity of gas-processed and unprocessed whole-grain wheat flour of various sizes, the terms of its safe storage were established. All safety indicators were examined within three months with a frequency of every 10 days. The relationship between the size of the flour product and its stability during storage has been established. It is recommended to store unprocessed whole grain wheat flour of coarse grinding up to 50 days, medium grinding – up to 40 days, fine grinding – up to 30 days. The treatment of whole-grain flour before storage with carbon dioxide has made it possible to prolong the period of safe storage of coarse flour to 70 days, medium grinding – up to 50 days, fine grinding – up to 40 days. The best results in the preservation of whole-grain flour, depending on the size of the grind, were shown by its treatment before storage with nitrogen in comparison with similar treatment with carbon dioxide. Nitrogen treatment has made it possible to recommend the duration of safe storage of coarse flour up to 90 days, medium – up to 60 days, small – up to 50 days

APLIKASI DISPOSISI SURAT DAN TELAAH STAF BERBASIS MOBILE (MOBILE LETTER)

In facing the challenges of digitalization that is growing so rapidly, the State of Polytechnic Tanah Laut (Politala) strives to continue to adapt these developments as needed. In carrying out their duties in the field of Tri Dharma and other supporting activities, lecturers must have a clear assignment basis, as well as for educational staff. The current assignment at Politala uses a sheet of disposition paper issued by the leadership. The disposition sheet is then submitted to the General and Personnel Section as the basis for making a Letter of Assignment for the Lecturer or Tendik concerned in carrying out activities. This is risky in terms of data storage and effectiveness to efficiency in the administration of correspondence. The development of technology in the field of software is currently a solution in conducting application-based correspondence administration to facilitate archiving and data security to be effective and efficient. This study aims to develop a mobile-based application to make it easier for leaders to dispose of incoming letters to their subordinates. The disposition will provide notification to the employee concerned and can be viewed directly through the application. In addition, with applications that are built, employees can submit staff reviews and can monitor the status of their submissions in real time. This research was conducted using the prototype method and collecting data using observation and interview methods to produce a Mobile Letter application.

Perspectives of oxy-coal power plants equipped with CO2 capture, utilization, and storage in terms of energy, economic, and environmental impacts

CO2-free power plants (PPs) with renewable electricity have promising sustainability implications, but the impact of their widespread use is yet to be determined. Here, the effect of an oxy-coal PP equipped with CO2 capture, water electrolysis, and CO2 methanation on electricity efficiency, CO2 emission rate, CO2 capture cost, and global surface temperatures (Tg) was investigated. By exploiting surplus electricity from renewable sources for electrolysis, we estimated that 5 % of the CO2 emitted from the coal PP was methanized. The process flow diagram of a 500 MWe decarbonized oxy-coal PP was constructed and its impact on energetic, economic, and environmental values was evaluated. The results were applied to a model of the global carbon cycle to predict Tg considering the prospective global population and carbon emission rate (rff) of fossil fuels by 2050. An 80 % replacement of conventional coal PPs worldwide by decarbonized oxy-coal PPs contributed to reducing rff by 6.1 GtCO2/y in 2050 and lowering Tg by 0.09 °C. The additional capital cost to replace 80 % of conventional coal PPs with decarbonized oxy-coal PPs, including associated geological storage costs, was estimated to be $43/tCO2. This study elucidates the promise and limitations of coal PPs designed for CO2 capture, utilization, and storage (CCUS). Combining CCUS technologies with global warming estimates can be extended to examine the economic and climatic impact of CCUS under various CO2 emission sources.

Elderberry (Sambucus nigra L.) Encapsulated Extracts as Meat Extenders against Lipid and Protein Oxidation during the Shelf-Life of Beef Burgers.

In this work, we studied the impact of encapsulated elderberry extracts as natural meat extenders to preserve both the quality and the oxidative stability of beef burgers. In particular, the comprehensive chemical changes of beef burgers treated with different antioxidants, namely, (a) a control without antioxidants, (b) 0.5 g/kg sodium erythorbate (ERY), (c) 2.5 g/kg encapsulated elderberry extract (EE 2.5), and (d) 5 g/kg encapsulated elderberry extract (EE 5), each one packaged under modified atmosphere (80% O2 and 20% CO2) for 13 days storage at 2 ± 1 °C, were deeply evaluated. Overall, EEs showed a wide array of antioxidant compounds, namely polyphenols like anthocyanins, flavonols, and phenolic acids. Multivariate statistics provided marked chemical differences between burgers manufactured with EEs and synthetic antioxidants (ERY) during 13-days storage in terms of both metabolomic profiles and typical lipid/protein oxidation markers (such as malondialdehyde and total carbonyls). Most of the differences could be attributed to some discriminant compounds, namely glutathione, 4-hydroxy-2-nonenal, hydroxy/peroxy-derivatives of fatty acids, carbonyl compounds (such as 5-nonen-2-one and 1,5-octadien-3-one), and cholesterol. Interestingly, significant correlations (p < 0.01) were observed between malondialdehyde, total carbonyls, and these discriminant metabolites. The combination of spectrophotometric approaches and a high-throughput untargeted metabolomics analysis outlined a strong modulation of both lipid and protein oxidations, likely promoted by the encapsulated meat extender (elderberry), thus confirming its ability to delay oxidative phenomena during the shelf-life of beef burgers.

First-Principles Study on the Structural, Electronic, and Lithium Storage Properties of Ti3C2T2 (T = O, F, H, OH) MXene.

The structures of bare Ti3C2 and functionalized Ti3C2T2 (T = O, F, H, OH) MXenes were constructed, and the effect of surface functional groups T2 (T = O, F, H, OH) on the structural, electronic, and lithium storage properties were investigated by first-principles calculations. The results show that the proximity of surface functional groups will induce some lattice distortion of Ti3C2T2 MXene. The degree of lattice distortion depends mainly on the adsorption position of functional groups and the types of surface functional groups. From the point of view of forming energy, the surface functional groups tend to be located at the CCP site. From the energy band and DOS results, the presence of surface functional groups has a significant effect on the valence band, while it has a slight impact on the conduction band. In terms of lithium storage, lithium atom adsorption starts from the HCP position for bare Ti3C2, while functionalized Ti3C2T2 starts from the CCP position. The double-layer lithium storage capacity of bare Ti3C2 and Ti3C2O2 were 639.78 mAh/g and 537.22 mAh/g, respectively. And the single-layer lithium storage capacity of Ti3C2F2 was 130.77 mAh/g.

ISOLATION AND SCREENING OF ACTIVE CULTURES OF LACTIC ACID BACTERIA FOR INCLUSION IN THE COMPOSITION OF THE STARTER IN THE PREPARATION OF CHEESE FROM WHEY

The starter cultures used to develop fermented milk products play a critical role in ensuring the quality of the final product in terms of organoleptic properties, nutritional value, and storage. The quality of the product depends on the strain and is due to differences between strains in the presence and activity of metabolic pathways. The selection of competitive bacterial cultures and the development of bacterial starters are fundamental to establishing and maintaining industrial microorganism collections. The process of creating bacterial starters takes a lot of time and includes the main stages of work: the isolation of microbes from various sources, their development, the selection of promising strains with industrially active properties, and the subsequent isolation of pure cultures as part of a consortium of bacterial starters. Potential probiotics were isolated from samples of fermented milk products - cottage cheese, butter, etc. home-made in the Akmola region, then identified and characterized. In this study, new probiotic bacteria were selected with high antibacterial activity against pathogenic microorganisms for humans and sensitivity to antibiotics. 4 strains of the studied isolates showed resistance to antibiotics and test strains. As a result of identification by MALDI-TOF MS-biotyping, it was found that the isolates isolated from domestic fermented milk products belong to the species Leuconostoc mesenteroides, Enterococcus faecium 2 pcs, Lactobacillus paracasei.

Immobilization of Biomass Materials for Removal of Refractory Organic Pollutants from Wastewater.

In the field of environmental science and engineering, microorganisms, enzymes and algae are promising biomass materials that can effectively degrade pollutants. However, problems such as poor environmental adaptability, recycling difficulties, and secondary pollution exist in the practical application of non-immobilized biomass materials. Biomass immobilization is a novel environmental remediation technology that can effectively solve these problems. Compared with non-immobilized biomass, immobilized biomass materials have the advantages of reusability and stability in terms of pH, temperature, handling, and storage. Many researchers have studied immobilization technology (i.e., methods, carriers, and biomass types) and its applications for removing refractory organic pollutants. Based on this, this paper reviews biomass immobilization technology, outlines the mechanisms and factors affecting the removal of refractory organic pollutants, and introduces the application of immobilized biomass materials as fillers for reactors in water purification. This review provides some practical references for the preparation and application of immobilized biomass materials and promotes further research and development to expand the application range of this material for water purification.

Preparation of a novel diatomite-based PCM gypsum board for temperature-humidity control of buildings

Building envelopes with excellent performance in thermal storage and humidity control are effective in reducing the heat and humidity load burdens of the electrical facilities, thus achieving energy conservation. However, thermal and hygroscopic properties have typically been examined separately in most studies. This study aims to develop a novel composite gypsum board by integrating modified diatomite and a binary phase-change material (PCM) to simultaneously control the temperature and humidity of buildings. Raw diatomite was first modified by acid and salt treatments and then used to prepare a diatomite-based shape-stabilised composite PCM (D/PCM), which was applied to fabricate the proposed functional gypsum board. The physicochemical and hygrothermal properties of the proposed D/PCM gypsum board were studied experimentally. The results show that the D/PCM gypsum board demonstrates satisfactory performance in terms of heat storage and temperature delay, mitigating temperature fluctuations indoors. Moreover, the moisture adsorption capability was significantly improved compared with that of the normal gypsum board. The proposed D/PCM gypsum board is a promising composite building material that can be widely applied to promote energy conservation in buildings.

Machine Learning Strategy for Solar Energy optimisation in Distributed systems

Using renewable energies such as wind and solar energy, two types of renewable energy, we may adjust the structure of the energy system, addressing both energy and environmental challenges at the same time. As a result of its impact on the environment, wind and solar energy generation are inherently unreliable sources of energy. Lithium batteries, a technology that is becoming increasingly mature in terms of energy storage, are a critical component of the answer to the problem of instability. In order to avoid waste and expense increases, the capacity should not be too large or too small, respectively. Power consumption restricts the amount of energy that may be stored, but industrial power usage is unpredictable and non-periodic. This is a significant task that needs the development of a model that can dispatch while still providing a reasonable amount of storage. In this paper, we develop a KNN classification model that considers the test cyclic of photovoltaic (PV) generation that includes battery installation, data on electricity consumption and data on PV generation in India. These metrics are used to develop an energy management model. The model aims at the reduction of operation cost and optimal storage of energy that should satisfy the grid demands. The results of simulation and the comparison of the theoretical results shows that the proposed model has higher optimisation of energy in the storage devices in case of distributed systems.

Software-defined network aided lightweight group key management for resource-constrained Internet of Things devices

Software-Defined Network (SDN) and Network Function Virtualization (NFV) are key enablers for provisioning dynamic, virtual security services on demand. This article, presents a novel Group Key Management scheme for Low-Resource Devices (GKM-LRD) with SDN aided trusted key management server as a central server to provide key management service to groups formed in Internet of Things (IoT) applications. In addition to the group key management scheme, a lightweight packet key-based communication system is proposed to make the data traffic reliable. Packet keys are short sized keys acquiring the lifetime of a packet. Even though the key is short sized, the security strength comes from its short lifetime. The proposed GKM-LRD is evaluated in terms of computation load, communication load, storage and scalability in comparison with the existing group key management schemes. The computation load, communication load and storage load is reduced by 80%, 17.25% and 20% respectively in comparison with the existing system assuring the scheme as lightweight and applicable for IoT devices. The proposed packet key-based communication scheme is compared with an existing Diffie-Hellman based packet key system. The results show the system is comparatively lightweight with computation load reduced by 74.8%. The security analysis of the proposed scheme proves that the scheme ensures forward secrecy, backward secrecy and resistance to man-in-the-middle and replay attacks.

An Investigation into the Effect of Knowledge Management on Employee Retention in the Telecom Sector

Employees in the telecom sector are knowledge workers and, thus, managers, HR professionals, and policymakers in the industry need to retain them through knowledge management policies. It is against this premise that this study investigated the effect of knowledge management on employee retention in the telecom sector. Research design employed in this study is a cross-sectional survey with an accessible population of thirty telecom companies in the southeastern region of Nigeria using a simple random sampling technique. The sample size was determined with the Krejcie and Morgan sample size determination table. A questionnaire was used as an instrument for data collection. Respondents’ profiles were analysed with frequency distribution while the formulated hypotheses were analysed with linear regression. The study found that knowledge management dimensions have a significant effect on the measures of employee retention. The study concludes that knowledge management measured in terms of knowledge acquisition, knowledge storage, and knowledge sharing predicted employee retention that is measured by supervisor support, coworkers support, and flexible working arrangements. One of the implications of this study is that managers of telecom companies should liaise with their board of directors to make funds available that would be used to train employees to acquire relevant knowledge that is needed in the telecom industry.

Thermodynamic investigation of latent-heat stores for pumped-thermal energy storage

As a large-scale energy storage technology, pumped-thermal energy storage uses thermodynamic cycles and thermal stores to achieve energy storage and release. In this paper, we explore the thermodynamic feasibility and potential of exploiting cascaded latent-heat stores in Joule-Brayton cycle-based pumped-thermal energy storage systems. A thermodynamic model of cascaded latent-heat stores is developed, and the effects of the heat store arrangement (i.e., total stage number and stage area) and fluid velocity in the thermal store tubes as key parameters that affect the heat storage and release rates, as well as the roundtrip efficiency, are evaluated. A pure electricity-storage mode and a combined heating and power mode are proposed and investigated, which allows such technologies to transform from a pure electricity storage system to an energy management system supplying power and multi-grade thermal and cold energy, and also to integrate with external waste heat and/or cold sources. Results show that the roundtrip efficiency of cascaded latent-heat stores is higher in the combined heating and power mode than in the pure electricity-storage mode, and that roundtrip efficiencies ranging from 62 % to 100 % can be achieved in the combined heating and power mode, accompanied by a corresponding pressure loss gradient ranging from 10 Pa/m to 2270 Pa/m. A comparison with packed-bed and liquid sensible-heat stores is also performed, and the results indicate that if these can be well designed, cascaded latent-heat stores can deliver comparable performance in terms of the total heat storage and release rates, roundtrip efficiency and flow resistance loss. Therefore, it is concluded that cascaded latent-heat stores can be considered for use in Joule-Brayton cycle-based pumped-thermal energy storage systems aimed at intelligent energy management for the provision of power and multi-grade heat and cold, if the costs can justify this decision.

MoS2—Carbon Materials Composite with Dual Phase of MoS2 and Their Application for Anode of Lithium Ion Battery

Carbon materials such as graphite, graphene, and CNT are mainly used as anode materials for LIBs because of their wide surface area and excellent stability in Lithium Ion Battery operation. However, graphite, which is mainly used as an anode material, has a very low theoretical capacity of 372 mAh/g. As high-capacity LIBs are increasingly needed like electric vehicles, many studies are being conducted to increase LIB capacity. For example, research on Si anode materials is attracting attention, and Si has a high theoretical capacity of ~4200 mAh/g. However, since there is a fatal disadvantage of volume expansion in cycle performance, stability can be a major defect in the driving condition of LIB.Transition Metal Dichalgogenides (TMD) materials are attraction a lot of attention as various energy materials such as HER and ORR as well as LIB. Their structural characteristics, low price, and high capacity in terms of energy storage make them very attractive to study as a new anode material for LIB batteries. MoS2 belonging to the TMD material is known to have a theoretical capacity of 670 mAh/g. In particular, MoS2 has a single layer structure, and this single layer structure is coupled by weak van der walls force. These properties are very advantageous for exfoliating MoS2 to form a layer-by-layer form with other materials. MoS2 is known to have a typical 1T, 2H structure. However, MoS2, which exists in a stable phase, generally has a 2H structure and has semiconducting properties. Therefore, it is less conductive than graphene, which can be an obstacle to being used as an anode. MoS2 is known to have a typical 1T, 2H structure. However, MoS2, which exists in a stable phase, generally has a 2H structure and has semiconducting properties. Therefore, it is less conductive than graphene, which can be an obstacle to being used as an anode. 1T structure is known to have very good conductivity because it has conductive properties. Therefore, when used as an anode, it has many advantages in that it has conductivity, but since it is a metastable structure, it can be converted to 2H very easily, so it is not easy to maintain the structure.In this study, the synthesis of MoS2 and graphene composites was performed in one pot using a chemical exfoliation method. In addition, it was possible to stably maintain the metastable 1T structure of MoS2 by using graphene as a support material through a post-treatment process in this process. The diffusion of Li+ was promoted by having a 1T structure with a wide interfacial spacing and high conductivity, and superior conductivity and high capacity were stably maintained compared to a composite having a 2H single phase. Through this, a stable and high-capacity anode material was realized using the high energy storage capacity of MoS2 and the stability of graphene.

Automated acquisition of top-view dairy cow depth image data using an RGB-D sensor camera.

Animal dimensions are essential indicators for monitoring their growth rate, diet efficiency, and health status. A computer vision system is a recently emerging precision livestock farming technology that overcomes the previously unresolved challenges pertaining to labor and cost. Depth sensor cameras can be used to estimate the depth or height of an animal, in addition to two-dimensional information. Collecting top-view depth images is common in evaluating body mass or conformational traits in livestock species. However, in the depth image data acquisition process, manual interventions are involved in controlling a camera from a laptop or where detailed steps for automated data collection are not documented. Furthermore, open-source image data acquisition implementations are rarely available. The objective of this study was to 1) investigate the utility of automated top-view dairy cow depth data collection methods using picture- and video-based methods, 2) evaluate the performance of an infrared cut lens, 3) and make the source code available. Both methods can automatically perform animal detection, trigger recording, capture depth data, and terminate recording for individual animals. The picture-based method takes only a predetermined number of images whereas the video-based method uses a sequence of frames as a video. For the picture-based method, we evaluated 3- and 10-picture approaches. The depth sensor camera was mounted 2.75 m above-the-ground over a walk-through scale between the milking parlor and the free-stall barn. A total of 150 Holstein and 100 Jersey cows were evaluated. A pixel location where the depth was monitored was set up as a point of interest. More than 89% of cows were successfully captured using both picture- and video-based methods. The success rates of the picture- and video-based methods further improved to 92% and 98%, respectively, when combined with an infrared cut lens. Although both the picture-based method with 10 pictures and the video-based method yielded accurate results for collecting depth data on cows, the former was more efficient in terms of data storage. The current study demonstrates automated depth data collection frameworks and a Python implementation available to the community, which can help facilitate the deployment of computer vision systems for dairy cows.

Characterization of probiotic properties and development of banana powder enriched with freeze-dried Lacticaseibacillus paracasei probiotics

Lacticaseibacillus paracasei is one of the probiotic bacteria widely identified from fermented foods. The application of L. paracasei is commonly used in dairy and non-dairy products. To investigate the probiotic properties of L. paracasei cells including their acid, pepsin, pancreatin, and bile salt tolerances; adhesion ability; antipathogen activity; and antibiotic susceptibility, L. paracasei cells were incorporated into skim milk and lyophilized by freeze drying. Freeze-dried probiotic cells were add to green banana powder and low moisture additive food matrices and a storage analysis of the product was performed. The result showed that L. paracasei cells possessed potentially beneficial probiotic properties to survive stress in the gastrointestinal tract (GIT) and functional abilities as an anti-enteropathogenic agent; they were also safe to use and displayed antibiotic properties. Furthermore, the probiotic freeze-drying technique preserved high probiotic cell survivability (1011 CFU/g). In term of prolonged storage (60 days), the powder product was stable and maintained probiotic survival (107 CFU/g) while excluding non-probiotic growth. In conclusion, L. paracasei displayed probiotic properties in the GIT and was judged to be a highly acceptable product as a probiotics–banana rehydrated beverage.

Modeling of Gas Flows in Underground Gas Storage Facilities

The object of this study is the underground gas storage facilities of Ukraine, with the aim of developing a systematic mathematical model to describe the flow of gas in complex underground gas storage systems. This model will enable to development of effective methods and algorithms for calculating the modes of operation of such systems. The proposed systematic mathematical model connects the model of the structure of underground gas storage in terms of graph theory with variable topology and various mathematical models of gas flows in facilities with concentrated and distributed parameters. We set the models of gas flows in UGS facilities in the form of analytical relations, differential equations and algorithmically described systems. In order to automate the process of model construction (for given boundary conditions), we developed a system of formation, analysis and synthesis of graphs for underground gas storage facilities, as well as a set of information and mathematical models of facilities.