Data-driven dependency injection for embedded software, enhancing reusability with C++

CPDGen: a Scalable Synthetic Dataset Generator for Container Port Operations

This paper presents a new modular SOC test architecture that uses an improved single TAM daisy-chain for scan test access to embedded modules. The architecture by definition guarantees that the total SOC test time is close to the lower bound. To make third party IP cores to fit the architecture, IP with test infrastructure 'on-demand' is introduced. An area-efficient bypass implementation for our IEEE std. 1500 compliant test wrapper is presented and results from a single TAM daisy-chain on silicon are shown

We present a testbed for comparing predictive tracking algorithms that allows virtual environment system developers to make better choices about which predictors to use in their environments and aids researchers in determining how predictors work across various virtual environment configurations. Our testbed saves the virtual environment developer and researcher both time and effort with the important task of reducing dynamic tracking error and masking latency. The testbed consists of three components: a prediction algorithm library, a motion data repository, and a graphical testing application which provides users with the ability to test different predictive tracking algorithms across a variety of user motion sequences. The testbed provides enough generality for testing across different algorithmic and system parameters such as sampling rate, prediction time, and noise variance. The paper describes the contents of the predictor library and how to extend it, the types of motion data sets collected thus far, the motion data preparation methodology, and the graphical testing application's functionality and architecture. A simple testing scenario showing output from the testbed is also presented.

BACKGROUND Scaling youth mental health services in low- and middle-income countries (LMICs) is hindered by fragmented infrastructure, scarce human resources, and a lack of affordable, adaptable digital tools. Existing platforms are often overly clinical, expensive, and ill-suited for community-based delivery that is common in these contexts. OBJECTIVE Here, we introduce shamiriOS, a modular open-source platform designed to support the scalable delivery of task-shifted youth mental health interventions in LMICs. Our objectives were threefold: 1) to review existing digital platforms for suitability in this context; 2) to describe the design and the development of shamiriOS; and 3) to evaluate early outcomes from its deployment in diverse community settings across Kenya. METHODS We conducted a semi-structured review of digital case management systems and youth-focused mental health applications, using criteria of cost, usability, open-source accessibility, customizability, and suitability for low-resource environments. Based on this review—and other identified gaps—we designed shamiriOS as a platform with three primary components. We developed two components: the Shamiri Digital Hub (SDH), backend operations platform for implementation staff (hub coordinators), and Rafi, a mobile-based companion app design for youth users. The third component, the Shamiri Provider Platform, was adapted from an existing third-party tool. Development followed an iterative, participatory process incorporating input from software engineers, implementation staff, clinical supervisors, and youth end users. Between 2023 and 2024, the platform was piloted in six secondary schools, community hubs, and a university wellness center. We assessed performance using platform usage analytics, user satisfaction surveys, Net Promoter Scores (NPS), and engagement rates. RESULTS Our analysis found that existing platforms lacked the modularity, offline functionality, and alignment with community-based stepped-care delivery models. The SDH was deployed across six school-based hubs serving 76,344 youths receiving care from 1,195 lay-providers and 111 clinical supervisors and therapists by 2024. Supervisors and hub coordinators (n=22) reported high satisfaction (usability M=8.36, NPS M=8.63) and noted improvements in session tracking, payment workflows, and triage coordination. Rafi was deployed at Mount Kenya University, reaching 3,737 students with 50.4% booking at least one session. However, sustained engagement with digital tools such as journaling and self-check-ins remained limited. Ongoing platform development efforts include the integration of the Shamiri Provider Platform and the development of shamiriAI to support precision mental health care and therapist capacity-building. CONCLUSIONS The development and deployment of shamiriOS demonstrate the feasibility of building scalable, culturally grounded digital infrastructure to support youth mental health interventions in LMICs. With its modular architecture, open-source ethos, and integration of operational, clinical, and user-facing tools, shamiriOS serves as a model for future innovations in global mental health. Future work will focus on advancing AI-driven features, strengthening sustained engagement, and preparing the platform for broader global adaptation. CLINICALTRIAL N/A

In 2008, Eurocopter and EADS Test & Services (T&S) jointly started a first project named EASI (EADS Avionic System IDE) in order to demonstrate the benefits for the EADS community of a collaborative development approach using an open architecture for large scale integration test systems. The goal is to obtain a tool or a set of tools able to manage avionic systems containing Eurocopter specificities, while sharing development effort of generic components with a large user community. One of the key components of this project is a multi-purpose real-time component dedicated to test systems based on open standards with an innovative plug-in approach and a small C++ kernel as its core. The work mainly consisted in developing modular and open software architecture without sacrificing performance. For instance, an original “zero memory copy” mechanism was developed in order to avoid spending time to transfer data from one plug-in to another one.

Warehouse management and control systems are responsible for the operations in a warehouse. These systems are usually very complex due to the delivery requirements of the warehouse customers. These delivery requirements are often very specific for a group of customers, which makes it hard to reuse warehouse management and control functionality for other warehouses. In this chapter, we will introduce a method that will greatly increase the reusability of warehouse management and control functionality. We present a reference architecture that supports the development of warehouse management and control systems. This modular reference architecture is based on functional components, which can be configured using structural and behavioural parameters. This configuration is sufficient to build a warehouse management and control system. This chapter introduces the reference architecture and demonstrates how it can be used to decrease the warehouse management and control system development effort.

Design, prototyping and testing of a modular small-sized underwater robotic arm controlled through a Master-Slave approach

The U.S. Army Communications-Electronics Research, Development and Engineering Center (CERDEC), with a consortium of industry partners, is developing the Distributed Satellite Communications (SATCOM) On-The-Move (SOTM) Terminal (DST) Open Standard Architecture (OSA). The DST OSA is a nonproprietary, open architecture for the engineering design of a SOTM terminal with distributed antennas integrated on a tactical ground vehicle. The open standardized interfaces between system components are intended to increase market competition and reduce acquisition and life-cycle costs for DST components. Furthermore, the modular architecture defined in the DST OSA will enable research and development efforts to be more efficient and lower risk by focusing on the component level. Modular component development will in turn increase the speed and frequency of system technology refresh and new deployment. Current developments in system architecture are described in this paper.

Workflow management systems (WfMS) are designed to enable the enactment of business processes, i.e. to extract and maintain the process logic between business applications. Within a workflow management solution, heterogeneous applications are connected through a given workflow definition. Future development efforts must aim to establish interoperability between different WfMS. This leads straight to interoperability problems of two types: in a technical point of view, one WfMS has to be able to abstract from a concrete implementation (programming language, hardware, etc.) of another WfMS. In a semantic point of view, WfMS have to agree on the execution semantics of a workflow definition. We try to cope with the semantic interoperability problem by defining a workflow repository which enables extensible communication between WfMS. To understand the notion and the central function of repositories, a short history of metadata systems is given. Based on a modular architecture of WfMS, a repository is developed and sketched in a CORBA compliant style. This repository shows the expressiveness and the idea of extensibility of our interoperability approach.

The need for high-quality single crystal SiC substrates continues to grow as the demand for SiC-based power and RF devices increases. The physical properties of SiC result in better thermal conductivity, higher breakdown voltage, faster switching performance and lower resistivity when compared to similar devices based on silicon. Even with the performance advantages, the adoption rate of SiC is slowed by high cost and inherent difficulty of processing the material. Conventional processing of SiC substrates involves double-sided batch lapping followed by batch diamond polishing then final polishing with a non-diamond slurry to achieve an epi-ready surface. This process flow involves multiple process tools and is fraught with issues including the need for wafer sorting to group wafers by thickness, manual loading and unloading of wafers, low yields, and unacceptable risk of batch loss (an entire batch of wafers may be scrapped if even one wafer cracks or breaks during process). This paper presents an improved process for single-wafer CMP during SiC substrate manufacturing or backside thinning. In contrast to batch polishing, key improvements include individual wafer processing, fully-automated handling, and elimination of the need for wafer sorting and grouping by thickness. Recent development efforts have achieved removal rates for the 4H Si face up to 2.5 µm/hour for the first step CMP. Removal rates for the C-face can be as much as 3-4x higher consistent with other findings in the industry. Fig 1 shows surface finish after the polishing sequence is complete which is consistently at or below 1 Å Ra as measured by AFM. The combination of an optimized grind followed by an optimized CMP process provides a viable path to both improving wafer yield and reducing costs for SiC wafer manufacturing or backside thinning process sequences. Figure 1