Unified Modeling Language Research Articles

Analyzing the Web-Based Library Information System at SMKN 1 Talang Ubi

In the rapidly evolving field of information technology, the transition from manual to computerized systems has become essential for improving efficiency and accessibility. This study focuses on the analysis, development,and evaluation of a Web-Based Library Information System at SMK Negeri 1 Talang Ubi, aimed at modernizing library management through automation. The system facilitates processes such as book borrowing, member registration, and data management, with the added benefit of remote accessibility. The system was developed using the Web Engineering methodology, which includes stages of Customer Communication, Planning, Modeling, Construction, and Delivery & Feedback. UML (Unified Modeling Language) tools were employed for system design, and PHP, HTML, and MySQL were utilized for programming and database management. Usability testing with 100 participants revealed positive outcomes: 80% rated the system's navigation and design as "Excellent" or "Good," and 80% found the user interface consistent across different sections. However, 10% of participants experienced issues with device accessibility, indicating a need for further improvements in cross-device compatibility. Overall, 80% of users were satisfied with their experience. The Web-Based Library Information System at SMK Negeri 1 Talang Ubi has successfully enhanced library management through improved efficiency and accessibility. The high satisfaction rates among users highlight the system's strengths, although addressing cross-device accessibilityissues remains a priority. This study provides a valuable framework for other educational institutions seeking to implement similar web-based solutions

Improving the Community Services through Electronic Management of East Pringsewu Subdistrict Administration

Every Government Institution cannot be separated from carrying out daily administrative activities. Manuscripts or recordings of documents or information, including text, images,and sound recordings, are called archives because archives are records of every activity carried out. Currently, the East Pringsewu sub-district office for filing letters and other activities still uses manual methods. The implementation of E-Government is expected to enable all service activities to the community to be carried out electronically, thereby simplifying policy and service functions. The data collection methods used in this writing are observation, documentation, interviews, and literature study. The SDLC (System Development Life Cycle) method is used in this research, namely a systematic approach to planning, designing, developing, testing,and maintaining software systems. Based on needs analysis, the system developed focuses on managing population data, archiving,and correspondence related to village authority. Before implementing the system, it is necessary to design the system. When designing a system, use the Unified Modeling Language (UML) approach using Use Case Diagrams, Activity Diagrams, and Class Diagrams. Use case diagrams to describe the interaction between users and the system being developed. This research uses the PHP programming language and Visual Studio Code as a text editor and MySQL DBMS. Applications can be used as a medium for implementing subdistrict or village development with information technology and supporting the progress of subdistricts or villages byGovernment recommendations in developing E-Government.

A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

AbstractThis study presents the results from rapid review of how model‐based systems engineering (MBSE) is utilized in healthcare systems (HSs). We conduct a review of the last twelve years and find that MBSE adoption in HSs is accelerating, with use of various MBSE languages and tools, as well as their integration with other simulation and modeling techniques. We find that similar to engineered systems, the most common MBSE language is systems modeling language (SysML), followed by unified modeling language (UML) and others. Additionally, we observe that MBSE methods are frequently used in conjunction with other analytical techniques, such as simulation and co‐simulations, to analyze and enhance various HS operations, or to assist with making tradeoffs between HS attributes such as quality and cost. Moreover, we provide a non‐exhaustive classification of current research based on two dimensions: healthcare applications and MBSE use cases. Notably, MBSE is being implemented generally with patient‐centric objectives in various HS domains, including IoT‐enabled smart healthcare, clinical medicine, medical device development, healthcare process enhancement, and healthcare facilities management. While the primary MBSE use case involves modeling different aspects of healthcare operations, there is a significant number of studies that pursue requirements engineering, systems analysis, integration, verification and validation, as well as risk analysis and management. Furthermore, we identify two promising research gaps. First, there is a need for the integration of MBSE with state‐of‐the‐art data‐driven analytical methodologies such as hybrid simulation and artificial intelligence techniques. Second, HSs could greatly benefit from representing the cognitive functions and processes of human decision‐makers in the loop, such as healthcare providers (e.g., doctors and nurses), who are instrumental in sustaining the HS performance and functionality. We contend that MBSE and other SE methods and techniques could improve HSs design, operations, and management; while fostering resilience and long‐term sustainability.

Empowering Model‐Based Systems Engineering Through Metamodeling

AbstractA critical enabler for Model‐Based Systems Engineering (MBSE) and Digital Engineering (DE) is the generation of coherent and consistent views of a system‐of‐interest based on information within a system model. In practice, system model development is facilitated through domain‐specific profiles, style guides, reference models, and low‐fidelity meta‐models to create coherent and consistent system information. Each of these approaches are useful but are insufficient for robust and automated verification of system models to an ideal. Furthermore, the expression of domain‐specific concepts and semantics relies on the proliferation of non‐standard, domain‐specific profiles as standard system modeling languages like the Systems Modeling Language (SysML) are general purpose. This paper proposes a novel approach to creating precise, machine‐interpretable metamodels implemented as a lightweight Unified Modeling Language (UML) profile. The profile includes numerous features that allow model architects to quickly specify context and domain‐specific modeling constructs without creating non‐standard stereotypes to apply domain‐specific meaning and usage rules. Three kinds of constraints can be inferred based on the relationships between meta‐model elements: type, multiplicity, and default value. Applications of well‐formed metamodels include a shared understanding of the intended model format and structure, as well as the one‐time programmatic generation of an encompassing suite of validation rules to evaluate a system model against the inferred constraints, thus ensuring consistency. Additional applications include programmatic generation of model analysis metrics, system models from metamodels, metamodels from reference models and element finding queries, and the ability to update a system model based upon the updated metamodel automatically. Use of the approach results in reduced time in system model development and analysis and ensures coherency and consistency of information thus increasing stakeholder use and confidence in the system model.

Study of Process Variation in Nanotube Tunnel Field Effect Transistor

In the nanoscale, the process parameters and device dimension variation extensively affect the electrical performance of the device. Therefore, an inclusive study for the prediction of the overall device behavior is extremely necessary. In this manuscript, process variations caused by random dopant fluctuation (RDFs), variation of oxide thickness, and workfunction during fabrication are analyzed in junctionless nanotube TFET. The work quantitatively evaluates the impact of process variability on the various electrical parameters like energy band diagram, electric field, carrier concentration, and drain current of the nanotube TFET structure. The device simulation has been carried out with a 3-D SILVACO ATLAS simulator.

Современное состояние исследований сверхпроводящей и электронной подсистемы стехиометрических ферропниктидов семейства 1144

Due to multiple-band structure, an interplay between superconducting and magnetic subsystems, the members of the 1144 iron-pnictide family show a number of unique properties not typical to other ferropnictide families. Nonetheless, a quick degradation in open air causes a lack of experimental probes of such extraordinary compounds. In the review, we briefly consider the crystal structure, doping and pressure phase diagram, band-structure features, as well as summarize the available experimental data on the gap structure of the 1144 family pnictides. We compare the properties of the 1144 materials with those of a sister 122 family compounds.

Slow sound mode prediction and band structure calculation in 1D phononic crystal nanobeams using an artificial neural network.

Phononic crystals, which are artificial crystals formed by the periodic arrangement of materials with different elastic coefficients in space, can display modulated sound waves propagating within them. Similar to the natural crystals used in semiconductor research with electronic bandgaps, phononic crystals exhibit the characteristics of phononic bandgaps. A gap design can be utilized to create various resonant cavities, confining specific resonance modes within the defects of the structure. In studies on phononic crystals, phononic band structure diagrams are often used to investigate the variations in phononic bandgaps and elastic resonance modes. As the phononic band frequencies vary nonlinearly with the structural parameters, numerous calculations are required to analyze the gap or mode frequency shifts in phononic band structure diagrams. However, traditional calculation methods are time-consuming. Therefore, this study proposes the use of neural networks to replace the time-consuming calculation processes of traditional methods. Numerous band structure diagrams are initially obtained through the finite-element method and serve as the raw dataset, and a certain proportion of the data is randomly extracted from the dataset for neural network training. By treating each mode point in the band structure diagram as an independent data point, the training dataset for neural networks can be expanded from a small number to a large number of band structure diagrams. This study also introduces another network that effectively improves mode prediction accuracy by training neural networks to focus on specific modes. The proposed method effectively reduces the cost of repetitive calculations.

MolLM: a unified language model for integrating biomedical text with 2D and 3D molecular representations.

The current paradigm of deep learning models for the joint representation of molecules and text primarily relies on 1D or 2D molecular formats, neglecting significant 3D structural information that offers valuable physical insight. This narrow focus inhibits the models' versatility and adaptability across a wide range of modalities. Conversely, the limited research focusing on explicit 3D representation tends to overlook textual data within the biomedical domain. We present a unified pre-trained language model, MolLM, that concurrently captures 2D and 3D molecular information alongside biomedical text. MolLM consists of a text Transformer encoder and a molecular Transformer encoder, designed to encode both 2D and 3D molecular structures. To support MolLM's self-supervised pre-training, we constructed 160K molecule-text pairings. Employing contrastive learning as a supervisory signal for learning, MolLM demonstrates robust molecular representation capabilities across four downstream tasks, including cross-modal molecule and text matching, property prediction, captioning, and text-prompted molecular editing. Through ablation, we demonstrate that the inclusion of explicit 3D representations improves performance in these downstream tasks. Our code, data, pre-trained model weights, and examples of using our model are all available at https://github.com/gersteinlab/MolLM. In particular, we provide Jupyter Notebooks offering step-by-step guidance on how to use MolLM to extract embeddings for both molecules and text.

Rejection probability reduction in queueing systems with limited queue using size based prioritization and artificial intelligence

The article is dedicated to enhancing the efficiency of request processing in multi-channel mass service systems with limited queue and refusals in case of overflow. The subject of this article is the methods and approaches to optimizing the processing of request flows. The aim of the work is to propose a new approach to prioritizing and balancing request categories to reduce the probability of refusals. The tasks of the article include: formulating the studied mass service system; determining the source of optimization; describing the method of dividing the overall request flow into categories; listing approaches to determining the request sizes; defining the algorithm for processing requests using size-based prioritization; proposing solutions to load assessment and priority balancing problems using artificial intelligence. The following methods are used: mass service theory, UML diagrams, artificial intelligence. The following results were obtained: a method to reduce the probability of refusals in multi-channel mass service systems with a limited queue by increasing the priority of smaller requests was proposed; methods for assessing request complexity and dividing the overall request flow into categories according to their complexity were proposed; an approach to balancing priorities using artificial intelligence was proposed.

Instrumental support for constructing and using system-object three-dimensional classification

The article discusses the problem of instrumental support for construction and use procedures using the system-object approach of three-dimensional classification (SO3K). The possibilities of forecasting and management support using CO3K are shown using specific examples. The results of a study of the existing tools for conceptual classification modeling (ontological engineering) are presented, showing that with its help it is impossible to ensure the construction and use of CO3K. In order to create instrumental software that supports the construction and use of CO3K, a set of functional requirements for it has been developed in the form of a UML diagram of use cases (precedents) and activity diagrams as event flows for them.

Forecasting the cutting force in end milling

The object of this study is the process of end milling, taking into account the discontinuity of the process, simultaneous cutting with several flutes arranged in a spiral, tool runout, and feedback in the elastic machining system, in particular, for the depth of cutting. The subject of the study is the cutting force and identification of its empirical model. During identification, the cutting force coefficient is automatically determined when matching the theoretical and experimental oscillograms of the cutting force component. The reported results related to forecasting the cutting force at end milling are based on a mechanistic approach and involve the process modeling method for forecasting. The simulation uses an algorithm for representing the interaction of the cutter flutes workpiece engagement, based on the scan of the cutter according to the rotation angle coordinate. The algorithm makes it possible to identify empirical coefficients and exponents of the cutting force model based on experimental oscillograms of cutting force components. The built model is implemented in an application program and owing to the representation of the machining system in the form of a closed structural diagram, it allows predicting the elastic displacement, which will determine the actual cutting depth. The developed program under an interactive mode using digital files of experimental cutting force components makes it possible to perform model identification and predict cutting force components with an error of 4.6 %. The adequacy of the algorithms was confirmed by measuring the profile of the machined surface in the places where the cutting mode changed with the feed stopped. The developed simulation algorithm makes it possible to take into account the simultaneous cutting by several flutes arranged in a spiral, the runout of the tool, and the feedback in the elastic machining system, in particular, the depth of cutting

Software Architecture and Desgin for Online Registration System

This paper presents an example of SoftwareArchitecture and design for online registration system.Software design is an early phase of the Software DevelopmentLife Cycle (SDLC). During this phase, software designersmodel the system and assess its quality so that improvementsmay be made before the software goes into the productionphase. The goal of software design is to build a model thatmeets all customer requirements and leads to successfulimplementation. As software systems continue to grow inscale, complexity, and distribution, their proper designbecomes extremely important in software production. Thearchitecture design representat ion is derived from the systemrequirement specification and the analysis model. Multi tierarchitecture is commonly used for distributed systems. Itusually consists of three element types: client, middlewareserver, and data server. The Unified Modeling Language( used to model the problem domain; describe the userrequirements; identify significant architecture elementsduring software design, such as classes and objects; describebehavior and interactions among these elements; and organizethe softw are structure, specify its constraints, describe thenecessary attributes, and more.

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.