Formalizing Fusion Object-Oriented Analysis Models

Smart City is one of the Smart Initiatives that tries to provide solutions to parking problems that are found in big cities. The growth of the vehicle population is not matched by the growth of parking infrastructure, which raises various problems such as illegal parking, traffic jams, and driving safety. Thanks to the massive evolution of the Internet of Things, the Smart Parking idea became a breakthrough in solving the growing parking problem. In this paper, we explain the prototype development of the Smart Parking System using the Internet of Things which has three subsystems, namely embedded systems, as well as Android and web-based applications. Smart Parking System’s software was developed using the Object-Oriented Analysis and Design (OOAD) method and has been tested using black-box testing with 41 test cases that were successfully received.

This study aims at improving the constructability of design solutions by inte grating site construction problems, which are related to the design, with the design's main functions. A full process analysis was carried out on the design functions of concrete framed office buildings whereby site problems were traced back to the relevant design stages. Design processes that significantly contribute to these problems were highlighted, along with their data flows. An object‐oriented analysis (OOA) method was then applied to model those processes. Proceedings through the five major activities of Coad & Yourdon's OOA method, a complete OOA model was developed. This technique has proved to be very effective in producing a well structured data model with the consequence of being easily mapped into an object‐oriented development environment. An integrated object‐oriented system was also developed, which attempts to use essential design information, at an early stage of the design process, to improve the constructability of the design.

In recent years, there has been a demand for Web applications with complex functions. In addition, most web applications efficiently manage data based on databases. While the key and critical dimension of developing these Web applications is analysis and design, most object-oriented analysis and design methods do not have a consistent view of the database. In addition, Java Enterprise Edition (EE) -based technologies are used in Web application implementations, but they do not provide any correlation with the database. On the other hand, as users' demands for security increase, security becomes more important. To this end, Java EE and database systems provide security solutions. However, it does not provide any correlation with object-oriented analysis and design methodology. As a result, it is difficult to develop secure web applications in a consistent way from analysis to implementation. In this paper, we propose a consistent software development methodology from analysis to implementation of secure web applications. The proposed software development methodology for web application development uses UMLsec, a security-emphasized modeling language, and object-relational (O-R) mapping for relational database design. It also uses Java servlets and SQL to implement analysis and design results based on role-based access control (RBAC). The software development methodology for the secure web application proposed in this paper has been applied to the development of the online banking system, from the design stage of the user's requirements analysis to the implementation of the web application.

Recent successes using object-oriented analysis methods to develop software systems suggest exploiting these techniques for systems engineering of large, complex systems. Unfortunately, object-oriented analysis methods are limited in their ability to model systems performance, one of the key components of the systems engineering process. To overcome these limitations, this paper proposes a systems engineering discipline that involves the integration of object-oriented models (which include information, state transition, and process models) with queueing-based performance simulation models. We discuss several techniques that promote performance modeling of hardware components as shared physical resources accessed by logical software objects. These techniques allow in-depth analysis of functionality, performance, and partitioning early in the requirements and design process which, in turn, reduces the risk, cost, and time involved in building and deploying computer-based systems.

Change Vector Analysis (CVA) is an important change detection method for remote sensing imagery with medium and low resolution. Traditional CVA is a pixel-based method, which is insufficient for high-resolution (HR) imagery. An object-oriented change vector analysis method (OCVA) is proposed in the paper. Image segmentation method was used to get image objects. The object histogtam was extracted as the feature of the image object at different bands. G statistic was employed to measure the distance between the object histograms at two times. Change vector of the object was built by the histogram distance at different bands. The heterogeneity of the object was measured by the magnitude of the object change vector. The threshold to detect change/no change objects was decided by Otsu method which maximizes the variance between change objects and unchanged objects. The experimental results on QuickBird images show that OCVA can make full use of the spatial information in HR images and get higher accuracy than pixel-based CVA.

This paper examines some advantages of the Object Oriented Model (O.O.M), such as reuse of code. better structured programs and easier transition from analysis to implementation. It presents some examples, showing why the O.O.M results in higher code reuse than procedural programming. The paper points also the advantages of Object Oriented Analysis (O.O.A) and of Data Abstraction (even though no direct connection exists between D.A. and the O.O.M).The reader is supposed to have some knowledge of the Object Oriented paradigm (class definition, objects. inheritance and polymorphism) and of C++ language.

This paper compares the current situation of development ,clarifies the problems that need to be solved by the information platform of rural land sublease, and then constructs a smartphone-based information platform and draws conclusions and suggestions, firstly, based on the analysis of rural land sublease policy and platform as a realistic basis, the design of rural land sublease information platform is carried out by using comparative analysis method and object-oriented analysis and design method. By constructing and analyzing the rural land sublease information platform, we deepen the informationization of land sublease government services and enhance the dynamic land title registration function. Based on the construction of the rural land sublease information platform, the government is promoted to explore the orderly opening and utilization of information resources, and provide all-in-one land sublease governmental information services in line with the needs and user habits of the new era. In today's new era of mobile network, the cell phone platform can better serve to realize the rights and obligations of land sublease regulated by the Land Contract Law of the People's Republic of China, improve the efficiency of rural land resources, and promote rural revitalization. With the gradual establishment of land sublease management information systems in various places, government information services such as land title registration inquiries are gradually standardized. However, there are still problems such as fragmentation of information on land sublease management and transactions, asymmetry of land sublease information, and low technical level.

Under the complex operational environment of the antimissile operation, the application of Systems Modeling Language (SysML) parametric model in weapon system effectiveness evaluation is explored. The function of parametric graph model, the construction process of the model and the optimization method of the model are researched. Using feedback mechanism to collect, collate and calculate the parameters of the model, and realize the leap from the index relationship description to the calculation of the index. Finally, the feasibility and effectiveness of the proposed method is verified by using the system of antimissile weapon system as an example.

Object-oriented structural and geometric analysis methods for truss structures are proposed. The methods are based on the iterative relaxation of nodal unbalanced forces by moving the nodes. The entities appeared in truss analysis are modeled as classes, and their class hierarchy is established. The knowledge about a truss node, a truss member, a material, and a sectional shape of the member are extracted and constructed as a knowledge base in an object-oriented manner. The object-oriented structural analysis is found to be valid for material and geometric nonlinearities, and the object-oriented geometric analysis where a kinematic problem is converted into a problem for a force equilibrium at the nodes is also found to be effective for determining the geometry of variable geometry trusses. The whole system is written in an object-oriented language, Smalltalk, and several results on structural and geometric analysis are presented. The speed of the computation is discussed along with the size of the structures and the over-relaxation factor. The extension of the knowledge base is also discussed.

Design of object-oriented database for the definition of machining operation sequences of 3D workpieces

We present a modelling approach for a decision support system to support interactive production scheduling. The architecture of the model can be subdivided in an offline planning and an online control module. We concentrate on the offline planning in this paper. This module consists of three components: analysis, construction and evaluation used within a loop. In the analysis stage a model describing the problem at hand is interactively developed. For the scheduling problem described by this model a solution is generated in the construction phase. The solution is evaluated interactively. We use object-oriented analysis and design methods to integrate declarative representations and algorithmic solutions. A first prototype is developed to evaluate this approach.

The development of information and communication technology in the twenty-first century has made it possible for information to quickly cross the boundaries of globalization. However, humanitarian foundation that work in the areas of education, treatment, job training, workplaces, and nursing homes for individuals with disabilities still do not employ information system technology extensively. The data collection system is still inefficient, resulting documents are easily damaged or lost. This study uses data collection methods with questionnaires and interviews with the number of samples determined using the Cochran formula. System Development Life Cycle Methodology was used to develop the application. The system is designed based on Object-oriented Analysis and Design (OOAD) methods with the Unified Modeling Language (UML) notation. The conclusion from the simple linear regression hypothesis test is that there is an influence between Human Resource Management on Employee Performance. By designing an adequate Personnel Management Information System to support human resource management, it can improve employee performance.

This article introduces the design and implementation of a fishery forecasting system based on Radial Basis Function (RBF) neural network. The system was developed using the CLient/Server architecture, the C# programming language in the environment of Visual Studio 2008 on the Windows7 platform. It draws knowledge from RBF neural network theory, the production historical data of pelagic fishery and the marine environment data. The system uses the Object-Oriented analysis and design method. It can quickly obtain the forecast results available to users through inputting marine environment data information and the RBF neural network model. The forecasting system includes three major functional modules, namely preprocessing fishery production data, matching production data and environmental data, training RBF neural network and making predictions. Experiments have shown that this forecasting system can generate accurate and effective pelagic fishery knowledge.

As the Air Force and Navy look forward to replacing outdated resources, it became apparent that a better understanding of and an accurate analytic model for, the existing process of training pilots and navigators was essential. Object oriented analysis (OOA) was selected to make use of the perceived advantages it offers such as data modeling, encapsulation of objects and their behavior, the potential for reuse, and its ability to scale-up to huge systems. The goal of the analysis was to create a set of OOA models that describes: (1) the implementation of the current (physical) enterprise; (2) the essential (logical) enterprise requirements of a combined Air Force and Navy integrated training management system; and (3) the essential (logical) enterprise requirements of an enhanced combined Air Force and Navy integrated training management system. The enterprise models will be used as a springboard for the development of requirement specifications for a training integration management system (TMS). TMS will be an automated system that manages all undergraduate flying/aviation training. It will support the Ground Based Training System. We present the steps taken in the analysis and modeling process for the creation of these enterprise models including: (1) object-oriented methodology, CASE tool and database selection; (2) user-driven paradigm mix and migration, (3) data collection process; (4) classification and development of class/object views: 5) development of information (functional) flow views; (6) development of dynamic (time dependent views; (7) user validation of current enterprise views; (8) future system enhancements and improvements; and (9) lessons learned.

Monitoring mine activities can help management track the status of mineral resource exploration and mine rehabilitation. It is crucial to the sustainable development of the mining industry and the protection of the geological environment in mining areas. To monitor the mining activities of shallow surface outcrops in the arid and semi-arid regions of northwest China, this paper proposes a remote sensing monitoring approach of mining activities based on deep learning and integrated interferometric synthetic aperture radar technique. This approach uses the DeepLabV3-ResNet model to identify and extract the spatial location of the mine patches and then uses object-oriented analysis and spatial analysis methods to optimize the mine patch boundaries. SBAS-InSAR technique is used to obtain the time-series deformation information of the mine patches and is combined with the multi-temporal optical imagery to analyze the mining activities in the study area. The proposed approach has a recognition accuracy of 95.80% for the identification and extraction of mine patches, with an F1-score of 0.727 at the pixel level, and the average area similarity for all patches is 0.78 at the object-oriented level. The proposed approach possesses the capability to analyze mining activities, indicating promising prospects for engineering applications. It provides a reference for monitoring mining activities using multisource satellite remote sensing.