701 Visual information acquisition system for medical use

2001 ◽  
Vol 2001 (0) ◽  
pp. 167-168
Author(s):  
Noriyuki KUSAKARI ◽  
Toru MASUZAWA
Keyword(s):  
Information Acquisition ◽  
Visual Information ◽  
Acquisition System

The Design and Implementation of an Information Acquisition System for Building Running Environment Based on Wireless Sensor Network and Loongson2F

2013 ◽  
Vol 303-306 ◽  
pp. 578-581
Author(s):  
Kai Tuo Du ◽  
Zhen Ya Zhang ◽  
Hong Mei Cheng ◽  
Qian Sheng Fang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Acquisition ◽  
Host Computer ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Hardware Cost ◽  
Public Building ◽  
Design And Implementation ◽  
Wireless Node

The process of building environmental information perception can be constructed with wireless sensor network (WSN) expediently. A WSN based information acquisition system for building running environment is described in this paper. The CPU of host computer in the system is Loongson2F and wireless nodes in the system are implemented as Telsob nodes. Because the price of wireless node is low, the hardware cost of the desired system is decreased evidently and the security of the desired system is enhanced because the CPU of the host is native. With those features, the application scenario of the desired system is extended widely. To verify the suitability of the using of Collection Tree Protocol (CTP) in construction of the WSN in the desired information acquisition system, the performance of the CTP based WSN deployed in public building space for environment information acquiring are tested and solutions for some key problems in the construction and the maintenance of the CTP based WSN are given in this paper too.

Dynamic Resource Allocation for Compressive-Sensing-Based Wireless Visual Sensor Networks with Energy Harvesting

2013 ◽  
Vol 303-306 ◽  
pp. 187-190
Author(s):  
Lei You ◽  
Xin Su ◽  
Yu Tong Han
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Compressive Sensing ◽  
Information Acquisition ◽  
Visual Information ◽  
Sensor Nodes ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Available Bandwidth ◽  
Potential Applications

Wireless visual sensor network (WVSN) is emerging with many potential applications. The lifetime of a WVSN is seriously dependent on the energy shored in the battery of its sensor nodes as well as the adopted compression and resource allocation scheme. In this paper, we use the energy harvesting to provide almost perpetual operation of the networks and compressed-sensing-based encoding to decrease the power consumption of acquiring visual information at the front-end sensors. We propose a dynamic algorithm to jointly allocate power for both compressive-sensing-based visual information acquisition and data transmission, as well as the available bandwidth under energy harvesting and stability constraints. A virtual energy queue is introduced to control the resource allocation and the measurement rate in each time slot. The algorithm can guarantee the stability of the visual data queues in all sensors and achieve near-optimal performance.

scholarly journals An Efficient Task Scheduling Method for the Unified Interface Platform of the Electric Information Acquisition System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ye Fang Bin
Keyword(s):  
Task Scheduling ◽  
Information Acquisition ◽  
Optimal Solution ◽  
Minimum Variance ◽  
Acquisition System ◽  
Combination Method ◽  
Business Systems ◽  
Target Task ◽  
Static Data ◽  
Local Optimal Solution

Due to the large and frequent static data interaction between the Electric Information Acquisition System and the external business systems, researching on using limited server sources to do an efficient task scheduling is becoming one of the key technologies of the unified interface platform. The information interaction structure of the unified interface platform is introduced. Task scheduling has been decomposed into two stages, task decomposition and task combination, based on the features (various types and dispersed) of large static data. The principle of the minimum variance of the subtasks data quantity is used to do the target task resolving in the decomposition stage. The thought of the Greedy Algorithm is used in the taskcombination. Breaking the target task with large static data into serval composed tasks with roughly same data quantity is effectively realized. Meanwhile, to avoid the situation of the GA falling into the local optimal solution, an improved combination method has been put forward. Moreover, the new method creates more average composed tasks and making the task scheduling more effective. Ultimately, the effectiveness of the proposed method is verified by the experimental data.

scholarly journals Transfer Entropy Based Causality From Head Motion To Eye Movement

2021 ◽  
Author(s):  
Zezhong Lv ◽  
Qing Xu ◽  
Klaus Schoeffmann ◽  
Simon Parkinson
Keyword(s):  
Eye Movement ◽  
Information Acquisition ◽  
Visual Information ◽  
Transfer Entropy ◽  
Movement Behavior ◽  
Head Motion ◽  
Human Beings ◽  
Sensorimotor Activity ◽  
Set Up ◽  
Psychophysical Studies

AbstractEye movement behavior, which provides the visual information acquisition and processing, plays an important role in performing sensorimotor tasks, such as driving, by human beings in everyday life. In the procedure of performing sensorimotor tasks, eye movement is contributed through a specific coordination of head and eye in gaze changes, with head motions preceding eye movements. Notably we believe that this coordination in essence indicates a kind of causality. In this paper, we investigate transfer entropy to set up a quantity for measuring an unidirectional causality from head motion to eye movement. A normalized version of the proposed measure, demonstrated by virtual reality based psychophysical studies, behaves very well as a proxy of driving performance, suggesting that quantitative exploitation of coordination of head and eye may be an effective behaviometric of sensorimotor activity.

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