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1. An Interactive IoT-based framework for Resource Management in Assisted living during pandemic

   https://doi.org/10.1109/ISQED51717.2021.9424323  

   Wilmoth, Parker; Sundaravadivel, Prabha (April 2021, 2021 22nd International Symposium on Quality Electronic Design (ISQED))

   null (Ed.)

   With a steady rise in the aging population, researchers predict that one out of every six people will be over the age of 65 by 2020. Seniors need to monitor their health consistently as chronic diseases such as diabetes, arthritis, dementia, are highly prevalent among them. This has lead to an increase in the use of devices such as sensors, cameras, and robots, with technologies such as artificial intelligence and the internet of medical things. These can help in designing innovative solutions for improving the daily life of seniors and helping them to be more independent. Though the recent advancements in technology can help in developing a better assisted living, the key challenge is to make a reliable framework that can help the consumer in using those product at ease. In challenging times, such as the current pandemic, the need for a framework that can help in reducing social interaction is particularly significant. In this paper, we discuss an interactive framework with the help of a smart camera and smart speakers that can help seniors to manage their essential resources at ease. This Internet of Things based framework can help seniors in having an organized inventory without ever needing to leave their home. 

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2. ROSCallBaX: Statically Detecting Inconsistencies in Callback Function Setup of Robotic Systems

   https://doi.org/10.1145/3715748  

   Kate, Sayali; Gao, Yifei; Feng, Shiwei; Zhang, Xiangyu (June 2025, Proceedings of the ACM on Software Engineering)

   Increasingly popular Robot Operating System (ROS) framework allows building robotic systems by integrating newly developed and/or reused modules, where the modules can use different versions of the framework (e.g., ROS1 or ROS2) and programming language (e.g. C++ or Python). The majority of such robotic systems' work happens in callbacks. The framework provides various elements for initializing callbacks and for setting up the execution of callbacks. It is the responsibility of developers to compose callbacks and their execution setup elements, and hence can lead to inconsistencies related to the setup of callback execution due to developer's incomplete knowledge of the semantics of elements in various versions of the framework. Some of these inconsistencies do not throw errors at runtime, making their detection difficult for developers. We propose a static approach to detecting such inconsistencies by extracting a static view of the composition of robotic system's callbacks and their execution setup, and then checking it against the composition conventions based on the elements' semantics. We evaluate our ROSCallBaX prototype on the dataset created from the posts on developer forums and ROS projects that are publicly available. The evaluation results show that our approach can detect real inconsistencies. 

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3. What Does It Take to Support Problem Solving in Programming Classrooms? A New Framework from the K-12 Teacher Perspective

   https://doi.org/10.1145/3706599.3719763  

   Limke, Ally; Islam, Saminur; Riahi, Bahare; Tian, Xiaoyi; Hill, Marnie; Cateté, Veronica; Barnes, Tiffany (April 2025, ACM)

   Developers rarely build programming environments that help secondary teachers support student learning. We interviewed 11 K12 teachers to discover how they support students learning to program and how tools might assist their teaching practice. Based on thematic analysis and organizing teacher activities around student actions, we have derived a new framework that can be used to design a programming learning system to support teachers. Our results suggest that teachers structure their activities based on their ideals about effective programming teaching and learning, and student problem solving and help-seeking processes. Therefore, our framework relates the themes we discovered about teacher activities to ideals and student problem solving in a time-based framework that can inform the design for new programming learning systems. 

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4. A Framework to Enable Runtime Programmable P4-enabled FPGAs in the Open Cloud Testbed

   Han, Zhaoyang; Handagala, Suranga; Patle, Kalyani; Zink, Michael; Leeser, Miriam (April 2023, The 10th International Workshop on Computer and Networking Experimental Research using Testbeds (CNERT))

   This paper presents a framework for cloud users who wish to specify their experiments in the P4 language and map them to FPGAs in the Open Cloud Testbed (OCT). OCT consists of P4-enabled FPGA nodes that are directly connected to the network via 100 gigabit Ethernet connections, and which support runtime reconfiguration. Cloud users can quickly prototype and deploy their P4 applications through our framework, which provides the necessary infrastructure including a network interface shell for the P4 logic. We have provided several examples using this framework that demonstrate designs running at the 100 GbE line rate with the support of runtime reconfiguration for P4 functions. By combining an existing network interface shell and P4 toolchain on FPGAs, we offer a framework that enables users to rapidly execute their P4 experiments in real time on FPGAs. 

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5. A Framework to Enable Runtime Programmable P4-enabled FPGAs in the Open Cloud Testbed

   https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225877  

   Han, Zhaoyang; Handagala, Suranga; Patle, Kalyani; Zink, Michael; Leeser, Miriam (May 2023, The 10th International Workshop on Computer and Networking Experimental Research using Testbeds (CNERT))

   This paper presents a framework for cloud users who wish to specify their experiments in the P4 language and map them to FPGAs in the Open Cloud Testbed (OCT). OCT consists of P4-enabled FPGA nodes that are directly connected to the network via 100 gigabit Ethernet connections, and which support runtime reconfiguration. Cloud users can quickly prototype and deploy their P4 applications through our framework, which provides the necessary infrastructure including a network interface shell for the P4 logic. We have provided several examples using this framework that demonstrate designs running at the 100 GbE line rate with the support of runtime reconfiguration for P4 functions. By combining an existing network interface shell and P4 toolchain on FPGAs, we offer a framework that enables users to rapidly execute their P4 experiments in real time on FPGAs. 

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