Sensor Data Transfer Research Articles

Investigation of uav systems and flight modes for photogrammetric applications

AbstractUnmanned aerial vehicle (UAV) photogrammetry has been used in a growing number of diverse applications across different scientific disciplines. Early applications of UAVs included cultural heritage and archaeology, mainly for the documentation and modelling of monuments, buildings and landscapes. In this paper, the focus is on the application of UAVs for documenting archaeological excavations. As excavating is a dynamic process and the objects to be acquired can change significantly within a few hours, UAVs can provide a suitable alternative to traditional measurement methods such as measuring tapes and tachymeters. Nevertheless, the image processing steps have to be automated, as a large number of resulting materials, usually sketches, maps, ortho‐images and 3D models, need to be available quickly. In order to accelerate the processing workflow, an interface between the UAV ground control software and various photogrammetric software packages was developed at ETH Zurich, which allows for an efficient management and transfer of orientation, trajectory and sensor data for rapid project set up.

Geosensors to Support Crop Production: Current Applications and User Requirements

Sensor technology, which benefits from high temporal measuring resolution, real-time data transfer and high spatial resolution of sensor data that shows in-field variations, has the potential to provide added value for crop production. The present paper explores how sensors and sensor networks have been utilised in the crop production process and what their added-value and the main bottlenecks are from the perspective of users. The focus is on sensor based applications and on requirements that users pose for them. Literature and two use cases were reviewed and applications were classified according to the crop production process: sensing of growth conditions, fertilising, irrigation, plant protection, harvesting and fleet control. The potential of sensor technology was widely acknowledged along the crop production chain. Users of the sensors require easy-to-use and reliable applications that are actionable in crop production at reasonable costs. The challenges are to develop sensor technology, data interoperability and management tools as well as data and measurement services in a way that requirements can be met, and potential benefits and added value can be realized in the farms in terms of higher yields, improved quality of yields, decreased input costs and production risks, and less work time and load.

Secure wireless collection and distribution of commercial airplane health data

The introduction of wireless communication capabilities supporting transfer of sensor data and information on-board commercial airplanes as well as between airplanes and supporting ground systems has the potential to significantly improve the safety and efficiency of air travel. The benefits, however, come at the cost of information security vulnerabilities introduced by data networks. Regulatory institutions, including the FAA, are aware that security requirements for network-enabled airplanes must be fully identified. Therefore, this focuses on wireless airplane health monitoring and management, and contributes a security framework to identify threats and system requirements to mitigate these threats. We also present challenges and open problems in enabling secure use of wireless sensor networks for health monitoring and control of commercial airplanes.

MULTISENSORY DETECTION SYSTEM FOR DAMAGE CONTROL AND SITUATIONAL AWARENESS

A data fusion-based, multisensory detection system, called “Volume Sensor”, was developed under the Advanced Damage Countermeasures (ADC) portion of the US Navy's Future Naval Capabilities program (FNC) to meet reduced manning goals. A diverse group of sensing modalities was chosen to provide an automated damage control monitoring capability that could be constructed at a relatively low cost and also easily integrated into existing ship infrastructure. Volume Sensor employs an efficient, scalable, and adaptable design framework that can serve as a template for heterogeneous sensor network integration for situational awareness. In the development of Volume Sensor, a number of challenges were addressed and met with solutions that are applicable to heterogeneous sensor networks of any type. These solutions include: 1) a uniform, but general format for encapsulating sensor data, 2) a communications protocol for the transfer of sensor data and command and control of networked sensor systems, 3) the development of event specific data fusion algorithms, and 4) the design and implementation of modular and scalable system architecture. In full-scale testing on a shipboard environment, two prototype Volume Sensor systems demonstrated the capability to provide highly accurate and timely situational awareness regarding damage control events while simultaneously imparting a negligible footprint on the ship's 100 Mbps Ethernet network and maintaining smooth and reliable operation in a real-time fashion.

Special Issue on Intelligent Integrated Systems for Human-Oriented Information Society

Recent advance in the information technology makes our society very convenient from the viewpoint of human-to-human information communication. However, our new living style will require not only human-tohuman communication but also autonomous intelligent applications that support human beings such as an intelligent robot system, an intelligent transportation system, and a security/safe system as shown in Figure. These applications will contribute to human-oriented information society.Intelligent vehicle Home service robot Security The use of special-purpose VLSI processors capable of processing a large amount of real-world data is essential to make such applications realistic. In recent industrial trend, the special-purpose processors are called ""System LSIs"". One of the most important environmental informations in real-world applications is a vision information. The factor common to the applications is to catch an environment information moment by moment and to respond quickly with it. Therefore, it is important to make the response time from inputs to outputs very small. In this case, sensor data transfer bottleneck is not allowed as well as memory-to-PE (Processing Element) data transfer bottleneck. An image sensor signal processing VLSI together with image sensor devices is a key issue in such applications. From the above point of views, this special issue was planned to demonstrate the recent results of this area. Finally, I would like to express my appreciation to the authors for their efforts and contributions to this special issue and also the members of the Editorial Board for their cooperation.