Improving the constructability of design solutions through an integrated system

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.

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.

In the design process of a mechanism, the dynamic behavior plays an important role. It could be the cause of unexpected high dynamic forces in later stages when it is not considered in the early stage of the design process. High forces could produce high stresses and high vibration levels. Several studies have been carried out in this area; however, only a few consider structural criteria and the eigenfrequencies in the early stage of the process. Low forces and an adequate structure should lead to good dynamic behavior. In this work, we present a method to synthesize function generator four-bar linkages that takes into account structural criteria in a joint-forces minimization-maximization problem. Its objective function is the reaction force on the mechanism joints. The problem’s constraints are the maximum stress on the links, the first eigenfrequency of the mechanism and the deflection of the crank and the rocker. With this method, the links’ lengths and cross-sectional areas of the mechanism are obtained for a given task. As condition, we assumed that the crank rotates with constant angular speed and its shaft works as a torsional spring. Moreover, the rocker moves a body with constant inertia. The resultant mechanisms are compared with those obtained with a traditional crank-rocker synthesis method, according to VDI 2130. To compare both methods, the maximum force, maximum stress, deviation of the rocker angle at its dead-center positions and RMS vibration of the crank and rocker of each mechanism are calculated using MSC ADAMS™. The results show that the mechanisms obtained with our method have better stress and vibratory levels than those obtained with a traditional approach.

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.

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.

Seismic areas in Canada are classified into three categories for three different combinations of acceleration and velocity seismic zones (Za < Zv, Za = Zv, and Za > Zv), and ground motions in different zonal combination areas are expected to have different frequency characteristics. The National Building Code of Canada specifies different levels of seismic design base shear for short-period buildings located in areas with different zonal combinations. The specification of seismic design base shear for long-period buildings is directly tied to zonal velocity, irrespective of seismic zonal combination. This paper evaluates the seismic performance of both high-rise long-period and low rise short-period reinforced concrete ductile moment-resisting frame buildings located in seismic regions having Za < Zv, Za = Zv, and Za > Zv. Two frame buildings have 10 and 18 storeys were used as structural models for high-rise buildings, while a set of four-storey buildings were used to represent low-rise buildings. All buildings were designed to the current Canadian seismic provisions and concrete material code. Three groups of earthquake records were selected as representative ground motions in the three zonal combination regions. The inelastic responses of the designed buildings to the three groups of ground motions were analyzed statistically. The results indicate that the distribution of inelastic deformations is significantly different for high-rise frame buildings situated in seismic regions with Za < Zv, Za = Zv, and Za > Zv. Inelastic deformation is concentrated in the lower storeys for high-rise buildings located in Za < Zv areas, whereas significant inelastic deformation can develop in the upper storeys for high-rise buildings situated in Za > Zv regions. The use of three different levels of seismic design base shear for short-period structures improves the consistency of ductility demands on low-rise buildings situated in the three different zonal combination regions. Despite the use of appropriate design base shears for different seismic regions, the ductility demands for these low-rise buildings are relatively high. To avoid excessive ductility demands, it is suggested that the seismic strengths for low-rise short-period buildings should not be significantly reduced from their elastic design base shears. Key words: earthquake, ground motion, seismic, design, reinforced concrete, frame buildings, beams, columns, ductility.

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

Startle eyeblink modification was measured in 20 relatively asymptomatic medicated schizophrenia outpatients and 18 matched controls in order to test for deficits in early and later stages of attentional processing during a memory-load version of the Continuous Performance Test. Participants viewed a series of digits and pressed a button after the digit 7 of each 3-7 sequence. On some trials, a startling noise burst was presented either 120 or 1200 ms following cues that a response might be needed soon (the digit 3) and also following noncues. Controls showed greater startle inhibition at 120 ms following cue than noncue prepulses, whereas patients showed equal inhibition to both, suggesting a deficiency in allocation of controlled attentional resources in early stages of processing. The patients, however, did show large startle inhibition at 120 ms when a distracting stimulus accompanied the task-relevant cue, unlike the controls, who ignored the distracting stimulus. In contrast, both groups showed equal startle inhibition 1200 ms following cue and noncue prepulses, indicating that later modality-specific attention processes are not impaired in patients during this paradigm. Both groups also showed equal inhibition at 120 ms during passively attended prepulses, suggesting that automatic attentional processes were not impaired in these patients.

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.

Most popular object-oriented analysis (OOA) methods provide good support for creating abstract, understandable models of system behavior and structure. The lack of firm semantic bases for most of these methods makes it difficult to rigorously reason about modeled behavior, and also makes it difficult to check the compliance of implementations (design and programs) against them. In this paper* we formalize the Fusion object-oriented analysis modeling techniques to make the models produced more amenable to formal analysis. We illustrate the formalization process by presenting some of the results of a case study carried out as part of our experimentations on formalized Fusion models.KeywordsFormal Specification TechniquesMethods IntegrationObject-Oriented AnalysisRequirements Engineering

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.

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.

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.