Satellite AIoT

An integrated CAE environment for simulation-based durability and reliability design

This chapter looks at how the coprocessor is configured in a Xeon-based server platform and communicates with the host. It will also look at the power management capabilities built into the coprocessor to help reduce power consumption while idle. Figure 6-1 shows a system with multiple Intel Xeon Phi and two socket Intel Xeon processors. The coprocessor connects to the host using PCI Express 2.0 interface x16 lanes. Data transfer between the host memory and the GDDR memory can be through programmed I/O or through direct memory access (DMA) transfer. In order to optimize the data transfer bandwidth for large buffers, one needs to use the DMA transfer mechanism. This section will explain how to use high-level language features to allow DMA transfer. The hardware also allows peer-to-peer data transfers between two Intel Xeon Phi cards. Various data transfer scenarios are shown in Figure 6-1. The two Xeon Phi coprocessors A and B in the figure connect to the PCIe channels attached to the same socket and can do a local peer-to-peer data transfer. The data transfer between Xeon Phi coprocessors B and C will be a remote data transfer. These configurations play a key role in determining how the cards need to be set up for optimal performance.

The author seeks a practical approach to complement deterministic design optimization in environmental performance-based building design. This study investigates algorithms and scripted processes to test and monitor the dynamic optimal control of building components. To this end, an integration of wireless data transfer equipment (nRF24L01) and a customized metaheuristic hybrid optimization algorithm (Tabu-based adaptive pattern search simulated annealing, T-APSSA) through a parametric visual programming language (VPL) interface (Rhino grasshopper®) is presented with experimental design of a responsive kinetic shading device. To demonstrate the performance of the algorithmic hybridization and early design integration, T-APSSA is compared to simulated annealing and pattern (direct) search, and two different approaches to daylight-optimized design solutions are tested: a deterministic optimization based on historical weather data and a site-specific adaptive optimization according to real-time monitoring of incident solar radiance. The suggestion of a seamless environmental building design workflow through remote data communication contributes to strengthening intelligent architectural design decisions.

The author seeks a practical approach to complement deterministic design optimization in environmental performance-based building design. This study investigates algorithms and scripted processes to test and monitor the dynamic optimal control of building components. To this end, an integration of wireless data transfer equipment (nRF24L01) and a customized metaheuristic hybrid optimization algorithm (Tabu-based adaptive pattern search simulated annealing, T-APSSA) through a parametric visual programming language (VPL) interface (Rhino grasshopper®) is presented with experimental design of a responsive kinetic shading device. To demonstrate the performance of the algorithmic hybridization and early design integration, T-APSSA is compared to simulated annealing and pattern (direct) search, and two different approaches to daylight-optimized design solutions are tested: a deterministic optimization based on historical weather data and a site-specific adaptive optimization according to real-time monitoring of incident solar radiance. The suggestion of a seamless environmental building design workflow through remote data communication contributes to strengthening intelligent architectural design decisions.

Cloud-federations have emerged as popular platforms for Internet-scale services. Cloud-federations are running over multiple datacenters, because a cloud-federation is an aggregate of cloud services each of which runs in a single datacenter. In such inter-datacenter environments, distributed key-value stores (DKVSs) are attractive databases in terms of scalability. However, inter-datacenter communications degrade the performance of these DKVSs because of their large latency and narrow bandwidth. In this paper, we demonstrate how to reduce and hide the weak points of inter-datacenter communications for DKVSs. To solve the problems we introduce two techniques called multi-layered DHT (ML-DHT) and local-first data rebuilding (LDR). ML-DHT provides a global and consistent index of key-value pairs with the efficient expandability of the storage capacity. It employs a routing protocol which reduces routing hops that pass through interdatacenter connections. LDR reduces data transfer on interdatacenter connections by using erasure coding techniques. It enables KVS administrators to flexibly make trade-offs between expandability of storage capacity and the performance of data transfer. Experimental results demonstrate that our techniques improve the latency up to 74 % compared with a Chord-based system and enable us to balance the amount of storage usage and remote data transfer.

Introduction & Objective: Screening for preclinical T1D and early-stage monitoring are typically only accessible in research studies, but will likely soon expand to clinical settings. Potential strategies for conducting monitoring of early-stage T1D in clinical settings must be explored. This study assessed feasibility of remote SMBG in youth with preclinical T1D. Methods: Participants from the Autoimmunity Screening for Kids (ASK) study were eligible if enrolled in ASK ≥6 months prior to this study’s start. Upon enrollment in the SMBG study, participants transitioned to an advanced technology glucometer (OneTouch Verio Reflect®) with remote data sharing capability. 12 months of remotely transferred SMBG data was collapsed into 3-month sums and SMBG frequency was explored with Poisson regression. Results: Data from 42 participants were included (age 13 ± 4.1 years, 62% non-Hispanic white, 62% female, 17% T1D first-degree relative). Frequency of SMBG was highest in the first 3 months (median [IQR]: 3.0 [1.0-8.5]). SMBG frequency decreased over time; there were fewer SMBG in months 4-6 (1.0 [0.0-4.3]), 7-9 (0.0 [0.0-2.3]), and 10-12 (0.0 [0.0-2.0]) (p<0.0001). Conclusion: Use of devices with remote data transfer is one potential tactic to support clinicians in conducting early-stage T1D monitoring. Strategies to sustain engagement are needed; qualitative studies may provide insight into barriers. Disclosure M.E. Pauley: None. C. Geno Rasmussen: None. K.A. Bautista: None. M. Munoz: None. I. Taki: None. F. Sepulveda: None. J. Baxter: None. M. Rewers: Advisory Panel; Sanofi. Other Relationship; Sanofi. Consultant; Janssen Pharmaceuticals, Inc. Research Support; Juvenile Diabetes Research Foundation (JDRF). Consultant; Provention Bio, Inc. Research Support; Hemsley Charitable Trust, National Institute of Diabetes and Digestive and Kidney Diseases. K.M. Simmons: Advisory Panel; Provention Bio, Inc. Consultant; Provention Bio, Inc. Research Support; Provention Bio, Inc., Novartis AG. Consultant; Medtronic. Funding JDRF (2-SRA-2022-1270-S-B); NIH NIDDK (T325T32DK063687); DiabDocs Physician-Scientist Career Development Award: NIH NIDDK (K12DK133995) & The Leona M. and Harry B. Helmsley Charitable Trust to Stanford University (2305-06041)

In modern measurement technology, wireless sensor network has been widely used in the industrial and other fields. Threrinto,remote virtual measurement technoligy which use wireless network technology to obtain remote measuring data is a hot topics.In this paper,we ues wireless sensor networks to achieve remote measuring data,its emphases is the remote data transfer after measurement ,storing and using virtual instrument to data processing and analysing.we first give the typical structure of wireless sensor netwok measurement system,which includes four layers:node layer,network layer,communication layer and data layer. Thereinto,we use data fusion technology to achieve data compressing.Second,we analyse the basic principles of remote virtual measurement and give the P2P network communication flow based on DataSocket.Last,we give the double layer network measurement model based on P2P and the simulation structure. This proposed technique is well suited for various applications in remote data measurement and has good prospects.

We discuss a problem of data transfer in large measurement, diagnostics and control systems (MDCS) over telecommunication networks. We give a proposal of using integrated services digital network for such kind of transfers and present the selected set of services of this network, which allow doing it in the best/cost-effective way.

: The decomposition of an application into pieces that can be distributed across several platforms requires a mechanism for exchanging data in addition to orchestrating requests and responses. This paper describes a layer of portable software that can be used to distribute an application in an attempt to achieve maximum system performance.

Global Positioning System (GPS) technology has been used in many different fields for many years. In recent years, GPS technologies have started to be preferred along with telemetry method in the monitoring and tracking of wild animal. This technology has been widely used especially in developing collars for wild animal tracking. However, due to the high cost of such devices and limited user intervention, they are not commonly used by practitioners or researchers with limited budget. Today, many hardware-based platforms have been developed with the developing technology. The Arduino platform, one of the prominent ones with its technical features, has great advantages of having different sensors and hardware work on single device. Besides, it is possible to produce cost-effective devices using this platform. Within the scope of this study, an Arduino-based wild animal tracking device (FiT-SMART Collar 2.0) with GPS support and remote data transfer via GSM was produced. The produced device was preliminary tested with a vehicle in the city traffic of Bursa, Türkiye. According to the results, the accuracy of the tracking data provided by smart collar was within the acceptable range of 2-3 m. Besides, instant tracking data has been successfully received in the system application using the GSM data transfer system attached on the platform.

This paper describes the development and deployment of a modular, remote wireless sensor monitoring system and its initial deployment for monitoring railway track performance on a busy high speed Amtrak Northeast Corridor line. The monitoring platform addresses some of the challenges faced by remote system applications; cost factor, power consumption, remote data transfer, storage and processing, and modularity. The remote sensor network consists of a) on-site sensor mesh, b) on-site base station, and c) data server in the headquarters. The on-site sensor mesh consists of sensors (e.g. strain gages, temperature) interfaced to motes. Data from the sensor mesh are conveyed to the base station and to the data server near real time at MIT via GPRS wireless Internet connection. The collected data are automatically stored in a database and can be accessed by any user equipped with an Internet browser and password. This paper includes results from this on-going deployment and provides an update on the capabilities of wireless sensor networks for long term and near realtime monitoring.

Continuous observations of forest canopy structure using low-cost digital camera traps

Microbial biosensors for recreational and source waters

With recent advances in information and communication technology (ICT), the bleeding edge concept of digital twin (DT) has enticed the attention of many researchers to revolutionize the entire modern industries. DT concept refers to a digital representation of a physical entity that is able to reflect its physical behavior by applying platforms and bidirectional interaction of data in real-time. The remarkable deployment of the internet of things in the power grid has led to reliable access to information that improves its performance and equips it with a powerful tool for real-time data management and analysis. This paper aims to trace the continuous investigation and propose practical ideas in originating and developing DT technology, according to various application domains of power systems, and also describes the proposed solutions to deal with the challenges associated with DT. Indeed, with the development of modern cities, different energy layers such as transportation systems, smart grids, and microgrids have emerged facing various issues that challenge the multi-dimensional energy management system. For example, in transportation systems, traffic is a major problem that requires real-time management, planning, and analysis. In power grids, remote data transfer within the grid and also various analyzes needing real data are just some of the current challenges in the field. These problems can be cracked by providing and analyzing a real twin framework in each section. All in all, this paper aims to survey different applications of DT in the development of the various aspects of energy management within a city including transportation systems, power grids, and microgrids. Besides, the security of DT technology based on ML is discussed. It also provides a complete view for the readers to be able to develop and deploy a DT technology for various power system applications.

remote data transfer