Unified Modeling Language Research Articles

ANALYSIS OF MACHINE LEARNING METHODS FOR SOLVING ANTENNA TECHNOLOGY PROBLEMS

The scheme of modern machine learning methods classification is considered and presented. The content of each methods in the classification is briefly disclosed. A structural diagram of an adaptive antenna system with an artificial intelligence unit is presented, and the principle of this scheme operation is explained. The role and function of the artificial intelligence unit within the adaptive antenna system are elucidated. The existing classes of machine learning methods are analyzed to determine their potential applicability to adaptive antenna systems for the purpose of intelligent control of the radiation pattern. It was determined that the primary machine learning method that could potentially be utilized by adaptive antenna system with artificial intelligence unit to achieve intelligent control of its directional characteristics is reinforcement learning. It is demonstrated that the reinforcement learning method can be integrated with other machine learning techniques, such as neural network methods, to enhance the precision of directing the directivity characteristics of adaptive antenna system with artificial intelligence unit.

Implementation Of The Rational Unified Process Method In The Web-Based Profile Information System At The Ica Aquarium

Ica aquarium is a shop that sells ornamental fish in the city of Medan. This store also sells necessities in fish breeding, such as fish feed, aquariums, and aquarium accessories. The products sold in this business can be said to be quite a lot, considering that there are many types of ornamental fish that can be marketed and cultivated. Not only that, fish feed products and aquarium equipment are also available with many different brands. To introduce the types of ornamental fish and products needed by ornamental fish, it can be accompanied by providing a system that introduces the products sold to customers. This aims to make it easier for customers to choose products to buy. Not only that, the information system that will be provided can also help them in managing data, stock, and product marketing. Therefore, this study will create a profile information system at the Ica Aquarium store using the Rational Unified Process (RPU) method in their system development method, with Unified Model Language (UML) as system design and software implementation in coding using PHP and HTML programming languages. Researchers use blackbox testing as information system testing. This research produces a profile information system that is multiuser, besides that It can also provide information about products in the store. That way this profile information system also helps Ica Aquarium to market its products.

Designing A Dealer Service Management Information System Motorcycle with Unified Modeling Language (UML) Method

Designing A Dealer Service Management Information System Motorcycle with Unified Modeling Language (UML) Method

Convergent encryption enabled secure data deduplication algorithm for cloud environment

SummaryThe exponential growth of data poses a critical challenge for cloud storage systems. Redundant data consumes valuable storage space and increases infrastructure costs. Data deduplication, a technique for eliminating duplicate data copies, offers a promising solution. However, existing deduplication techniques often compromise data security, especially when dealing with encrypted data. This paper proposes a novel approach that merges convergent encryption (CE) with data deduplication. CE leverages user data itself to generate unique encryption keys, enabling secure deduplication on encrypted data. We analyze existing literature on secure data deduplication and categorize various techniques using UML activity diagrams. We then present our proposed CE‐based deduplication system, outlining its functionalities through UML diagrams. This research contributes to the field of secure data storage by proposing a novel and secure deduplication approach. By demonstrating its efficiency and security benefits, this work paves the way for more efficient and secure cloud storage solutions. Finally, we demonstrate the system's effectiveness through a comparative analysis, highlighting its potential to significantly improve storage efficiency while maintaining data security.

Establishing a Geo-Database for Drinking Water and Its Delivery and Storage Components with an Object-Based Approach

Infrastructure facilities that serve the city as a whole and should be considered as a whole should be built in an orderly and planned manner, just as cities are. Infrastructure facilities become obsolete over time. Aging infrastructure facilities may become unserviceable over time. When the need for maintenance and repair arises, it is mandatory to renew or replace infrastructure facilities. In this case, necessary maintenance/repair and renovation works should be completed as soon as possible. These infrastructure facilities may not be transferred to maps in the digital environment and may often be managed with person-oriented information, not institutional. There is a problem for decision makers, namely, that the construction, maintenance, repair and governance of infrastructure facilities cannot be carried out systematically, on time and effectively. The only way to provide such a service is through the combined use of today’s informatics, Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) technologies, unlike the classical methods of the past. The aim of the study is to effectively manage the scarce resource of drinking water and its facilities, which are an important component of infrastructure facilities, with a method that uses current mapping technologies and informatics facilities. Especially after Infrastructure for Spatial Information (INSPIRE) and the transformation of Land Administration Domain Model (LADM) to the International Organization for Standardization (ISO) standard, Turkish National Geographic Information System (TNGIS) studies and many academic studies carried out in Türkiye have been modelled with Unified Modelling Language (UML) diagrams in accordance with LADM. Similarly, within the scope of this study, UML diagrams were prepared, and then a GIS database was established. Thanks to field workers, chiefs, engineers and others working on water pipelines, all necessary data, classic, as-built and digital, were gathered. These were collected in different ways in order to conduct spatial and non-spatial analysis in the study area of Trabzon. The most important result from the study is that the entire drinking water infrastructure of Trabzon has been transferred to the system in a structure that allows spatial queries, ensuring that damage detection on water components, maintenance and repair processes are carried out in the shortest time and at the lowest cost. The investigation and application of a sensor-integrated GIS-aided system, making it possible to control and monitor the use of lost and illegal water to be controlled as well as inform consumers who will be affected by possible maintenance and repair, is recommended.

Sistem Pemilihan Bakal Calon Legislatif oleh Partai Politik dengan Metode Simple Additive Weighting

The Regional Leadership Council of the Grinding Party experienced difficulties during the general election in 2019 where legislative candidates could not meet the party's target of 2 seats. So that in 2024 before the general election a decision support system-based legislative candidate selection system was created so that for future plans the party will use this system so it is necessary to start building the system. The purpose of this research is to be able to determine prospective candidates to become legislative candidates. This type of research is quantitative in criteria data collection techniques can also be through observation, interviews and literature studies, with an application development model using a prototype model. The prototype model with the stages of collecting data and case examples, designing prototypes, building prototypes, testing programmes, implementing and maintaining programmes. The research subject is legislative candidates and the object is the Gerinda party which conducts the selection of legislative candidates. Application design assisted by Unified Modelling Language (UML) modelling techniques can provide the best system design, then the calculation results will be ranked to get the optimal alternative. Then the data analysis technique uses the Simple Additive Weighting (SAW) method. This research produces the name of the candidate who will be elected by building a system with the application of the SAW method. Of the 9 people who registered as prospective candidates.

Sistem Informasi Pelaporan Perkembangan Pasien (SI-PELPASI) berbasis Mobile Android

The use of Android mobile applications in the healthcare sector as tools for patient progress reporting has become a significant innovation. The mobile Android-based patient progress reporting information system (SI-PELPASI) serves as a solution to enhance efficiency and accuracy in patient monitoring. This study aims to develop a mobile Android-based patient progress reporting information system at the Bukit doa rehabilitation centre, an Institution for Mandatory Reporting (IPWL). The system development in this study employs the System Development Life Cycle (SDLC) method, which consists of systematic stages: the planning stage aims to plan the system, the analysis stage involves reviewing existing and current systems and collecting data through interviews and observations, the design stage includes designing Unified Modelling Language (UML) diagrams and the user interface, the implementation stage uses the Kodular app creation platform, and the testing stage uses the black box method to test system functionality. Our findings resulted in the Patient Progress Reporting Information System in the form of a Mobile Android application named SI-PELPASI. The application runs smoothly and can be operated on Android-based mobile devices. With this application, the process of reporting patient progress becomes faster and real-time.

Aplikasi E-Comerce Produk UMKM menggunakan Metode Filtrasi Kolaboratif berbasis Mobile

Micro, Small, and Medium Enterprises (UMKM) in Tebing Tinggi City, North Sumatra have great potential to encourage local economic growth. However, most UMKM in this city still face obstacles in marketing their products online. This research aims to develop a mobile-based e-commerce application with a collaborative filtration method for local UMKM to increase sales and turnover. The type of research is Research and Development (R&D) using the waterfall model including requirements analysis, system design, implementation, testing, and maintenance. The data analysis used includes a collaborative filtration method to recommend products to users based on the highest rating of all UMKM products on the application. Needs analysis through observation, interviews, and literature study. Design using UML diagrams. The implementation applies collaborative filtration for product recommendations based on user preferences, and functionality testing using black boxes. This research produces an e-commerce application that can provide product recommendations that are relevant and by user preferences based on the highest rating patterns and similar behavior of other users. Apart from that, this application also runs smoothly without any problems after black box testing.

PROSPECTS FOR THE IMPLEMENTATION OF BIOLOGICAL METHANATION TECHNOLOGIES IN UKRAINE

The search and development of alternative energy sources as a substitute for scarce natural gas is an extremely important task for the Ukrainian economy. Methanation, that is, the reaction of converting carbon dioxide and hydrogen to produce synthetic renewable methane, is one way to solve this problem. The directions and features of methanation technologies implemented today in the world are considered. The structural diagram and production of components of biological methanation technology as the most promising for Ukraine are described. Two concepts of biomethanation are considered: in-situ and ex-situ. In-situ methanation is a combination of anaerobic digestion and biological methanation processes in a single digester. However, when implementing such methanation, difficulties arise due to differences in the optimal conditions for the occurrence of these processes. Ex-situ methanation occurs in separate reactors, where it is possible to autonomously establish optimal conditions for acetogenesis and methanogenesis. Thus, the in-situ concept, compared to the ex-situ concept, is much cheaper and easier to implement, but is still much more difficult to implement the methanation process. The relevance of introducing methanation technologies in Ukraine is due to the active development and implementation of bioenergy technologies using large bioresources existing in the country. A promising direction for the implementation of methanation technologies in Ukraine is the use of biological methanation technologies for the production of biomethane and synthetic renewable methane. Establishing the production of biomethane and synthetic renewable methane will also help solve such pressing problems as accumulating unstable electricity from solar and wind power plants, which can become a powerful stimulator for the development of these areas of alternative energy. In addition, methanation protects the environment from CO2, converting it from a greenhouse gas into a fuel. Bibl. 18, Fig. 2.

Toward a Free Platform for Financial Islamic Instruments: Analysis, Design and Development Special Case "MURABAHA"

the aim of this study is to analyze the informationsystem in Islamic bank by using Unified ModelingLanguage (UML). The major objective is to prepare thebackground for all actors working in Islamic bank tounderstand and use this free platform speciallyMURABAHA act.

Offloading Strategy Based on Graph Neural Reinforcement Learning in Mobile Edge Computing

In the mobile edge computing (MEC) architecture, base stations with computational capabilities are subject to service coverage limitations, and the mobility of devices leads to dynamic changes in their connections, directly impacting the offloading decisions of agents. The connections between base stations and mobile devices, as well as the connections between base stations themselves, are abstracted into an MEC structural diagram due to the difficulty of deep reinforcement learning (DRL) in capturing the complex relationships between nodes and their multi-order neighboring nodes in the graph; decisions solely generated by DRL have limitations. To address this issue, this study proposes a hierarchical mechanism strategy based on Graph Neural Reinforcement Learning (M-GNRL) under multiple constraints. Specifically, the MEC structural graph constructed with the current device as an observation point aggregates to learn node features, thus comprehensively considering the contextual information of nodes, and the learned graph information serves as the environment for deep reinforcement learning, effectively integrating a graph neural network (GNN) with DRL. In the M-GNRL strategy, edge features from GNN are introduced into the architecture of the DRL network to enhance the accuracy of agents’ decision-making. Additionally, this study proposes an updated algorithm to obtain graph data that change with observation points. Comparative experiments demonstrate that the M-GNRL algorithm outperforms other baseline algorithms in terms of system cost and convergence performance.

Influencing factors of digital platform construction of automobile manufacturing industry based on ISM-MICMAC

Intelligent interconnection and big data will be the core content of the future competition, and a unified digital platform construction of the automobile manufacturing industry will inevitably become an important support for the future development from large to strong. Using literature research and expert consultation, 14 influencing factors of digital platform construction in the automobile manufacturing industry were sorted out. this study uses ISM (Interpretative structural modelling) model to stratify the influencing factors of digital platform construction of the automobile manufacturing industry, draw a multi-layer hierarchical structure diagram of influencing factors, and uses the MICMAC (Matrix impacts cross-reference multiplication applied to a classification) method to analyze the dependence and driving force of the main influencing factors. The results show that 14 factors are more scientific and reasonable as influencing factors of digital platform construction in the automobile manufacturing industry. A1, A3, B1, B3, C3, D2, D3 are the top-level influencing factors. C1 and C2 are the bottom influencing factors, highlighting that technical factors are still the fundamental factors affecting the digital platform of the automobile manufacturing industry. C1, D1 and C2 are autonomous factors with a high driving force and play an important role in promoting digital platform construction in the automobile manufacturing industry. The research results have important reference value for accelerating the digital transformation of the automobile manufacturing industry, enhancing the core competitiveness of automobile industry enterprises, and improving the monitoring degree of operation status of the automobile industry market.

Vibration attenuation and wave propagation analysis of 3D star-shaped resonant plate structures and their derivatives with ultra-wide band gap

Based on the local resonance effect of elastic waves, three single-phase acoustic metamaterials are proposed in this paper. Based on the finite element method and Bloch's theorem, the energy band structure diagrams and vibration modes are plotted, and the band gap properties and band gap opening mechanism of these structures are explored. New structures possessing lower frequency band gaps are obtained by topological optimization. The transmission curves verify the accuracy of the band gap and the vibration attenuation ability of the structure. Finally, the structural parameters were adjusted and the effect of each parameter change on the band gap characteristics was analyzed. The results show that the proposed structure has a maximum band gap coverage of 72.4 % and a strongest attenuation peak of less than −400 (dB) due to the occurrence of a local resonance. This paper provides a methodology for analyzing the vibration and noise reduction performance of single-phase material phononic crystals, as well as a three-dimensional phononic crystal with potential for practical applications.

Prediction of Electric Load Neural Network Prediction Model for Big Data

In this study, the two-dimensional hexagonal Photonic crystal energy band structure was simulated using COMSOL Multiphysics field simulation software. The 2D hexagonal Photonic crystal structure was constructed by setting parameters such as periodic boundary conditions and air hole radius. Using the frequency domain solver of COMSOL software, the transmission and reflection spectra of the structure were calculated, and the energy band structure diagram was obtained. The effects of different parameters on the energy band structure were analyzed by adjusting the structure parameters. The results show that the fine tuning of the energy band structure of 2D hexagonal Photonic crystals can be realized by adjusting the radius of air holes and the periodic boundary conditions. This study provides a useful reference for further research on the properties and applications of 2D photonic crystals.

SISTEM PENILAIAN UJIAN ESAI SECARA OTOMATIS DENGAN ALGORITMA TEXT MINING COSINE SIMILARITY PENUNJANG PEMBELAJARAN

Currently, teachers must be able to utilize learning information technology in the form of online exams. This research will implement an online essay exam which is assisted by using a computer as a tool, better known as the Computer Assisted Test (CAT). The author developed a computer-based exam application for students at SMK Negeri 5 Pekanbaru. The exam questions that will be developed are online exam questions that can provide grades automatically. The questions that will be entered into the system are questions in essay form. Automatic scoring is carried out using the Case Folding and Tokenizing, Filtering, Stemming, Analyzing with Cosine similarity assessment stages. Exam participants' answers will also be searched for basic words using the results of extracting the basic words in the answer key and students' answers will be compared using Cosine similarity. The modeling process is carried out by developing existing models by adapting the real-time concept to be planned. The model obtained is the text stemming process and the process of extracting words from the answers carried out on client computers (teachers and students) and processing the answers and comparing the answers with the answer key. The modeling used is Waterfall and the analysis uses UML (Unified Modeling Language). This system was created using the PHP programming language, MySql database

Sputtering deposition of dense and low-resistive amorphous In2O3: Sn films under ZONE-T conditions of Thornton's structural diagram

We have fabricated smooth-surfaced amorphous In2O3:Sn (a-ITO) films at a high temperature of 550 °C, far above the typical crystallization threshold of 150 °C for ITO films. This achievement has been made possible by intentionally introducing N2 into the sputtering atmosphere, which maintains a low N atom incorporation of only a few atomic percent within the films. Positioned within ZONE-T of the Thornton diagram (higher-temperature region characterized by high film density), our method allows the preparation of films with superior film density about 6.96 g/cm3, substantially exceeding the density of 6.58 g/cm3 for conventional a-ITO films fabricated under ZONE-1 (low-temperature region) and approaching the bulk crystal density of In2O3 at 7.12 g/cm3. The films also feature a high carrier density of 5 × 1020 cm−3 and a remarkably low resistivity of 3.5 × 10−4 Ω cm, comparable to those of polycrystalline films. The analysis via vacuum-ultraviolet absorption spectroscopy on N and O atom densities in the plasma suggests that amorphization is primarily caused not by N atoms incorporated in the films but by those temporally adsorbed on the film surface, inhibiting crystal nucleation before eventually desorbing. Our findings will pave the way not only for broader applications of a-ITO films but also for the design of other amorphous materials at temperatures beyond their crystallization points.

DEVELOPMENT OF THE DEVICE FOR CONTROLLING AND MEASURING THE SUPPLY OF WORKING GAS FOR LABORATORY TESTING OF THE ELECTRIC PROPULSION THRUSTERS

The object of the research is a device for measuring, controlling, and indicating the flow rate of working gas during laboratory testing of electric propulsion systems for space applications. The problem lies in the need to ensure high accuracy in controlling and measuring the flow rates of working gas for such devices. The obtained results include: analysis of existing industrial flow meters that could be used in development; proposed structural and functional diagrams of the device; experimental investigations into the accuracy of the developed device. Based on the analysis of parameters of the most common flow meters for development, the Bronkhorst F-201CV-100-AAD-22-V regulator was selected. Based on the selected regulator, a device was developed with a 32-bit ARM architecture. This architecture provides for the use of floating-point calculations, easy reprogramming of the device, and fast indication of values displayed on the indicator. The device features galvanic isolation between the control bus and the UART port of the microcontroller. The device allows for regulation, measurement, and indication of the flow rate of working gas into the anode block and hollow cathode during testing of Hall thrusters. Using the device allows for recommendations regarding the design of onboard systems for supplying working fluid to electric rocket propulsion systems. Based on the presented development and conducted research, laboratory prototypes of the devices were manufactured. The measurement error throughout the entire range of working gas flow rates does not exceed 0.7%. The overall error of the stand control and measurement system for working gas flow rates is up to 3%. The developed device provides measurement accuracy that satisfies the developers of electric propulsion systems.

Rapid synthesis of Mn-doped NiFe2O4 nanosheet arrays for high-performance hybrid supercapacitors

This research presents an innovative approach to the in-situ fabrication of Mn-doped NiFe2O4 (Mn-NiFe2O4) nanosheet arrays directly on nickel foam substrates. The formation of precursors on the nickel foam substrates is achieved through spontaneous corrosion, followed by a thermal treatment to form the Mn-NiFe2O4 nanosheet arrays. The material's structure and morphology were thoroughly examined, revealing that the addition of Mn transforms the nanoporous structure on the nickel foam into a nanosheet structure. The average thickness of the nanosheets is 30 nm, and their primary composition is Mn-doped NiFe2O4. The resulting highly porous structure of these nanosheets provides numerous active sites and effective electron and ion diffusion channels, thereby increasing charge density and mechanical stability. Electrochemical assays show that the areal-specific capacity of the synthesized electrode material reaches 4.34 C cm−2 (areal-specific capacitance is 8.68 F cm−2) at 1 mA cm−2. Notably, the constructed hybrid supercapacitor achieves a power density of 544 µW cm−2 at an energy density of 390 µWh cm−2. Furthermore, capacitance retention is 95.2% after 5000 charging cycles. Additionally, the assembled device delivers robust and sustained energy output for LED displays and electric toy cars. This method streamlines the production flow of electrode materials, reducing energy consumption while significantly enhancing the areal capacitance of supercapacitors. The assembled hybrid supercapacitor structure diagram and the assembled devices provide power sources for electric toy cars and LED displays.

SISTEM INFORMASI PERMINTAAN PEMBELIAN BAHAN BAKU DAN ATK PADA PT MADA WIKRI TUNGGAL MENGGUNAKAN LARAVEL 9

PT Mada Wikri Tunggal is an automotive industrial company in the field of metal and plastic components that produces goods in the form of spare parts for two-wheeled (2) and four-wheeled (4) vehicles. The purchasing department at PT Mada Wikri Tunggal is responsible for the availability of goods needed by other departments according to the time required. Before carrying out the process of purchasing raw materials and stationery, the purchasing department must have a purchase request form for raw materials or stationery originating from the department concerned. In the process of purchasing raw materials and stationery, several problems were found, such as purchasing the same goods in one purchase request, and also the loss of the purchase request form which could hamper the process of purchasing raw materials or stationery. Therefore, it is necessary to design an information system application for purchasing requests for raw materials and stationery by depicting it using UML diagrams, ERD, and interface design as well as web-based integrated development using the Laravel framework and applying the waterfall method. The existence of an information system for purchasing requests for raw materials and stationery can minimize errors in purchasing raw materials and stationery in the purchasing department at PT Mada Wikri Tunggal so that there will be no duplication of the same purchase in one purchase request and it will not take a long time to send purchase orders. to suppliers.

Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 1

The paper presents the results of a study to determine the rational structure of mini-CHP (Cogeneration Heat and Power Plant) using local fuels types (LFT) for operation as part of the United Energy System (UES) of Belarus with a surplus of electricity generating capacity and dominance of imported types of energy resources (natural gas and nuclear fuel) in the fuel balance. When optimizing the operating modes of mini-CHPs using LFT and operating in parallel with the UES, which has a significant surplus of electricity generating capacity, it is necessary to separate options for existing stations and options for newly built ones. In the first case, due to the fact that the power of the equipment is known, it is advisable to consider two extreme options, i.e., the operation of the heating unit according to an electrical or thermal load schedule. In this case, in order to maintain the daily consumption traffic it is necessary to provide for the accumulation of thermal or electrical energy, respectively. In the case of new construction, the optimized parameter is the power of the generating equipment, so it is advisable to give preference to the option with the maximum number of hours of use of the rated power. In order to increase the economic attractiveness of mini-CHP, options for developing the structure of mini-CHP using LFT with the transition to multi-generation technologies and adaptation to the existing operating conditions of the UES of Belarus have been considered. The results of an analysis of commercially available technologies for storing excess electrical energy are presented in accordance with current and projected (until 2030) cost and operational indicators. For adapting mini-CHP to operate in the UES in conditions of a surplus of electrical power capacity, an electrical energy storage system using hydrogen as an intermediate energy carrier is of greatest interest. To utilize the excess electrical energy consumption from a mini-CHP with a heating ORC unit during the daily dips, a structural diagram configuration using an alkaline electrolysis module for hydrogen production is proposed. The efficiency of energy storage and use technology is considered depending on the specific energy intensity for various electrical energy storage technologies. The use of the two most energy-intensive energy storage technologies is proposed: accumulation based on electrochemical batte-ries and the “electricity-hydrogen” type. During the study, an analysis of the functioning of the ORC-installation Turboden 14 CHP ORC-installation operating as part of a mini-CHP using LFT was carried out. It was revealed that today the installation operates in a wide range of load changes (from 17 to 87 % of the rated electrical power), while the generation of electrical energy from thermal consumption varied in the range from 0.20 to 0.026 MW/MW. Due to the fact that the ORC installation under study is a component of the energy source with a high installed peak thermal power, in the current state there is no direct correlation between the outside air temperature and the generation power of the ORC installation. This circumstance indicates the need to continue the study of heat load trends to build functional models for short- and medium-term forecasting of heat load depending on the time of day and average hourly outside air temperature, which was implemented in the second part of the work.