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"Computer software industry Location Case studies."
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ALBA: a model-driven framework for the automatic generation of android location-based apps
In recent years, the number of smartphone users has increased dramatically. These users download millions of apps and use them for various services. Due to the significant demand for mobile apps, developers often seek faster development methods and more effective tools and techniques to generate these apps. Many of these apps are location-based apps in which users receive services based on their geographical location. In this paper, we propose a model-driven approach for the automatic generation of Android location-based mobile apps. Our framework, called ALBA, consists of a domain-specific modeling language, a modeling tool, and a plugin which includes model to code transformations. The modeling tool enables a novice designer to model a location-based app. The model is validated against the predefined constraints and the editor prevents creating invalid models. The designer uses the plugin to generate the Android code of the app. The evaluation of our work is two fold. First, to evaluate the generalizability of the ALBA framework, we conducted an experiment which includes the generation of four industrial location-based apps. Second, to evaluate the usability and quality of both the framework and the generated apps, we conducted a case study consists of three experiments. The results of the evaluation are promising both in terms of the applicability of the framework and the quality of the generated apps.
Journal Article
The Rise of Passive RFID RTLS Solutions in Industry 5.0
In today’s competitive landscape, manufacturing companies must embrace digital transformation. This study asserts that integrating Internet of Things (IoT) technologies for the deployment of real-time location systems (RTLS) is crucial for better monitoring of critical assets. Despite the challenge of selecting the right technology for specific needs from a wide range of indoor RTLS options, this study provides a solution to assist manufacturing companies in exploring and implementing IoT technologies for their RTLS needs. The current academic literature has not adequately addressed this industrial reality. This paper assesses the potential of Passive UHF RFID-RTLS in Industry 5.0, addressing the confusion caused by the emergence of new ’passive’ RFID solutions that compete with established ’active’ solutions. Our research aims to clarify the real-world performance of passive RTLS solutions and propose an updated classification of RTLS systems in the academic literature. We have thoroughly reviewed both the academic and industry literature to remain up to date with the latest market advancements. Passive UHF RFID has been proven to be a valuable addition to the RTLS domain, capable of addressing certain challenges. This has been demonstrated through the successful implementation in two industrial sites, each with different types of tagged objects.
Journal Article
PRIME: a real‐time cyber‐physical systems testbed: from wide‐area monitoring, protection, and control prototyping to operator training and beyond
As the power grid continues to evolve with advanced wide‐area monitoring, protection, and control (WAMPAC) algorithms, there is an increasing need for realistic testbed environments with industry‐grade software and hardware‐in‐the‐loop (HIL) to perform verification and validation studies. Such testbed environments serve as ideal platforms to perform WAMPAC prototyping, operator training, and also to study the impacts of different types of cyberattack scenarios on the operation of the grid. In this study, the authors introduce pacific northwest national laboratory(PNNL) cyber‐physical systems testbed (PRIME): the testbed that integrates real‐time transmission system simulator with commercial industry‐grade energy management system software and remote HIL (RHIL). PRIME is an end‐to‐end, modular testbed that allows high‐fidelity RHIL experimentation of a power system. We present two detailed case studies (fault location and clearing in the transmission system and operator training) to show the capabilities of their PRIME testbed. Finally, we briefly discuss some of the potential limitations of their testbed in terms of scalability and flexibility to set up larger test systems and identify directions for future work to address these limitations.
Journal Article
Implementation of Control Flow Checking—A New Perspective Adopting Model-Based Software Design
A common requirement of embedded software in charge of safety tasks is to guarantee the identification of random hardware failures (RHFs) that can affect digital components. RHFs are unavoidable. For this reason, the functional safety standard devoted to automotive applications requires embedded software designs able to detect and eventually mitigate them. For this purpose, various software-based error detection techniques have been proposed over the years, focusing mainly on detecting control flow errors. Many control flow checking (CFC) algorithms have been proposed to accomplish this task. However, applying these approaches can be difficult because their respective literature gives little guidance on their practical implementation in high-level programming languages, and they have to be implemented in low-level code, e.g., assembly. Moreover, the current trend in the automotive industry is to adopt the so-called model-based software design approach, where an executable algorithm model is automatically translated into C or C++ source code. This paper presents two novelties: firstly, the compliance of the experimental data on the capabilities of control flow checking (CFC) algorithms with the ISO 26262 automotive functional safety standard; secondly, by implementing the CFC algorithm in the application behavioral model, the off-the-shelves code generator seamlessly produces the hardened source code of the application. The assessment was performed using a novel fault injection environment targeting a RISC-V (RV32I) microcontroller.
Journal Article
Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam
Flooding, exacerbated by climate change, poses a significant threat to certain areas, increasing in frequency and severity. In response, the construction of supplementary dams has emerged as a reliable solution for flood management. This study employs a geospatial approach to assess the feasibility of constructing a supplementary dam near Linville, Brisbane, Australia, with the aim of mitigating floods and preventing overtopping failure at Wivenhoe Dam. Using QGIS software and a 25 m resolution DEM from the Queensland Spatial Catalogue ‘QSpatial’ website, four potential dam sites were analysed, considering cross-sections, watershed characteristics, and water volume calculations. Systematic selection criteria were applied on several dam wall options to identify the cost-effective and optimal one based on the dam wall dimensions, volume-to-area, and volume-to-cost ratios. The selected option was further assessed against predefined criteria yielding the optimal choice. The study provides insights into the feasibility and effectiveness of supplementary dam construction for flood mitigation in the region, with recommendations for future research and implementation plans for the asset owners.
Journal Article
Dynamic Progress Monitoring of Masonry Construction through Mobile SLAM Mapping and As-Built Modeling
Traditional progress monitoring can be inaccurate and time-consuming, potentially causing time delay and cost overrun in construction projects. With development in technology, tools such as cameras, laser scanners, and building information modelling (BIM) have been used to overcome existing problems in the traditional approach. However, noise mitigation, extracting objects of interest from laser point clouds, and detailed progress measurement are problems that still exist. In this study a novel method of construction progress monitoring to measure the progress percentage is presented. The study integrates the simultaneous localization and mapping (SLAM) technique with as-built BIM to gather quick and accurate construction site progress information. The Hausdorff distance is utilized to extract objects of interest and filter out noise from site-scan data. As-built and as-planned BIM models are compared using Python and Dynamo, to obtain progress percentage. A case study was conducted on a residential building located in Sydney, Australia, to validate the application of the developed method. The outcome demonstrates that utilizing the SLAM technique and Hausdorff distance are effective in mitigating noise and extracting objects of interest from site-scan data, respectively. In addition, with an accuracy of 94.67 percent in estimation, the progress percentage was obtained based on material quantities. The obtained progress percentage could also be used in updating construction schedules and assisting decision-making.
Journal Article
Surviving global software development
Software development involves teamwork and a lot of communication. It seems rational to put all your engineers in one place, encourage them to share objectives, and let the project run. Why use distributed sites when it's easier to work in one location without the overhead of remote communication and planning? How is it possible to survive (and succeed with) globally dispersed projects? Working in a global context has its advantages, but it also has drawbacks. On the plus side, you gain time-zone effectiveness and reduced cost in various countries. However, working on a globally distributed project means operating costs for planning and managing people, along with language and cultural barriers. It also creates jealousy as the more expensive engineers (who are afraid of losing their jobs) are forced to train their much cheaper counterparts. In this case study, we try to summarize experiences and share best practices from projects of different types and sizes that involve several locations on different continents and in many cultures.
Journal Article
Security risks in service offshoring and outsourcing
Purpose - Service outsourcing offshoring represents an increasing phenomenon. Several factors (e.g. cost reduction, flexibility, access to new technologies and skills, access to new markets, focus on core activities) motivate the location of (IT or business) processes abroad and or out of the companies' boundaries. This choice determines also relevant risks. Knowledge and data protection constitutes one of the most relevant issues in service outsourcing offshoring because it can strongly affect the success of these projects. The purpose of this paper is to propose an assessment framework that highlights the main risks of offshoring and outsourcing projects.Design methodology approach - Building on the model developed by Monczka et al. (2005), this work proposes a FMEA assessment framework that highlights the main risks of offshoring and outsourcing projects, their causes, effects and some possible (preventing correcting) actions. The proposed framework has been implemented and tested in a multinational company for a long time involved in service offshoring outsourcing projects.Findings - Adopting a failure mode and effect analysis (FMEA) approach, the study describes the main possible failures, their causes, effects and possible (preventive and corrective) actions, along all of the phases of typical outsourcing offshoring projects.Originality value - The paper develops an assessment framework able to identify the security risk profile of companies engaged in outsourcing offshoring projects by considering the technical, legal and managerial aspects jointly; and detecting the causes of possible security failures and the related preventive and corrective actions.
Journal Article
Everywhere and nowhere: nearshore software development in the context of globalisation
Offshore software development has been identified as one of the most striking manifestations of contemporary globalisation and as evidence of placelessness, the idea that information and communication technologies have rendered location irrelevant. Research in the International Business and Information Systems fields, in contrast, has suggested that all locations are not equal and has identified a number of characteristics that may influence the attractiveness of a location for multinational investment and offshoring, respectively. These literatures, however, focus almost exclusively on quantitative, economic characteristics that are seen as fixed and applying uniformly throughout a whole country. They therefore offer little guidance on the suitability of particular locations as offshoring destinations, especially in countries without a track record in offshore software development. Drawing on two cases of nearshore software development centres set up by offshore service providers in the Caribbean, this paper illustrates that, while the initial decision to establish the ventures reflected a logic of placelessness, characteristics of these particular locations affected their subsequent success. Through the findings, we therefore develop a typology of espoused, unanticipated and remediable locational characteristics, which illustrates that locational attractiveness may vary significantly within countries and that offshore service providers and government agencies can modify locational characteristics to their advantage.
Journal Article