scholarly journals Improving the Detection of the Contact Point in Active Sensing Antennae by Processing Combined Static and Dynamic Information

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1808
Author(s):  
Luis Mérida-Calvo ◽  
Daniel Feliu-Talegón ◽  
Vicente Feliu-Batlle
Keyword(s):  
Contact Point ◽  
Load Cell ◽  
Robotic Systems ◽  
Accurate Estimation ◽  
Flexible Beam ◽  
Dynamic Information ◽  
New Developments ◽  
Static Information ◽  
Insect Antennae ◽  
Flexible Antenna

The design and application of sensing antenna devices that mimic insect antennae or mammal whiskers is an active field of research. However, these devices still require new developments if they are to become efficient and reliable components of robotic systems. We, therefore, develop and build a prototype composed of a flexible beam, two servomotors that drive the beam and a load cell sensor that measures the forces and torques at the base of the flexible beam. This work reports new results in the area of the signal processing of these devices. These results will make it possible to estimate the point at which the flexible antenna comes into contact with an object (or obstacle) more accurately than has occurred with previous algorithms. Previous research reported that the estimation of the fundamental natural frequency of vibration of the antenna using dynamic information is not sufficient as regards determining the contact point and that the estimation of the contact point using static information provided by the forces and torques measured by the load cell sensor is not very accurate. We consequently propose an algorithm based on the fusion of the information provided by the two aforementioned strategies that enhances the separate benefits of each one. We demonstrate that the adequate combination of these two pieces of information yields an accurate estimation of the contacted point of the antenna link. This will enhance the precision of the estimation of points on the surface of the object that is being recognized by the antenna. Thorough experimentation is carried out in order to show the features of the proposed algorithm and establish its range of application.

scholarly journals Entering the Era of Data Science: Targeted Learning and the Integration of Statistics and Computational Data Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Mark J. van der Laan ◽  
Richard J. C. M. Starmans
Keyword(s):  
Big Data ◽  
Data Science ◽  
State Of The Art ◽  
Accurate Estimation ◽  
Learning Tools ◽  
New Developments ◽  
Data Movement ◽  
Computational Data ◽  
Adaptive Estimators ◽  
Data Adaptive

This outlook paper reviews the research of van der Laan’s group on Targeted Learning, a subfield of statistics that is concerned with the construction of data adaptive estimators of user-supplied target parameters of the probability distribution of the data and corresponding confidence intervals, aiming at only relying on realistic statistical assumptions. Targeted Learning fully utilizes the state of the art in machine learning tools, while still preserving the important identity of statistics as a field that is concerned with both accurate estimation of the true target parameter value and assessment of uncertainty in order to make sound statistical conclusions. We also provide a philosophical historical perspective on Targeted Learning, also relating it to the new developments in Big Data. We conclude with some remarks explaining the immediate relevance of Targeted Learning to the current Big Data movement.

scholarly journals On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Masato Hidaka ◽  
Yuki Kanaya ◽  
Shogo Kawanaka ◽  
Yuki Matsuda ◽  
Yugo Nakamura ◽  
...  
Keyword(s):  
Timely Manner ◽  
Dynamic Information ◽  
Trip Planning ◽  
Preference Information ◽  
Static Information ◽  
Site Use ◽  
Drastic Increase ◽  
Heavy Burden ◽  
Route Information ◽  
Changes Over Time

Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.

A multi-configuration kinematic model for active drive/steer four-wheel robot structures

Robotica ◽  
2015 ◽  
Vol 34 (10) ◽  
pp. 2309-2329 ◽  
Author(s):  
Edgar A. Martínez-García ◽  
Erik Lerín-García ◽  
Rafael Torres-Córdoba
Keyword(s):  
Degrees Of Freedom ◽  
Rotation Axis ◽  
Contact Point ◽  
Linear Equations ◽  
Kinematic Model ◽  
Robotic Systems ◽  
Control Law ◽  
Special Design ◽  
Wheel Drive ◽  
Four Wheel Drive

SUMMARYIn this study, a general kinematic control law for automatic multi-configuration of four-wheel active drive/steer robots is proposed. This work presents models of four-wheel drive and steer (4WD4S) robotic systems with all-wheel active drive and steer simultaneously. This kinematic model comprises 12 degrees of freedom (DOFs) in a special design of a mechanical structure for each wheel. The control variables are wheel yaw, wheel roll, and suspension pitch by active/passive damper systems. The pitch angle implies that a wheel's contact point translates its position over time collinear with the robot's lateral sides. The formulation proposed involves the inference of the virtual z-turn axis (robot's body rotation axis) to be used in the control of the robot's posture by at least two acceleration measurements local to the robot's body. The z-turn axis is deduced through a set of linear equations in which the number of equations is equal to the number of acceleration measurements. This research provides two main models for stability conditions. Finally, the results are sustained by different numerical simulations that validate the system with different locomotion configurations.

scholarly journals Gait Recognition Using GEI and AFDEI

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jing Luo ◽  
Jianliang Zhang ◽  
Chunyuan Zi ◽  
Ying Niu ◽  
Huixin Tian ◽  
...  
Keyword(s):  
Nearest Neighbor ◽  
Gait Recognition ◽  
Dynamic Information ◽  
Static Information ◽  
Gait Feature ◽  
Time Requirements ◽  
The Common ◽  
The Moment ◽  
Neighbor Classifier ◽  
Better Than

Gait energy image (GEI) preserves the dynamic and static information of a gait sequence. The common static information includes the appearance and shape of the human body and the dynamic information includes the variation of frequency and phase. However, there is no consideration of the time that normalizes each silhouette within the GEI. As regards this problem, this paper proposed the accumulated frame difference energy image (AFDEI), which can reflect the time characteristics. The fusion of the moment invariants extracted from GEI and AFDEI was selected as the gait feature. Then, gait recognition was accomplished using the nearest neighbor classifier based on the Euclidean distance. Finally, to verify the performance, the proposed algorithm was compared with the GEI + 2D-PCA and SFDEI + HMM on the CASIA-B gait database. The experimental results have shown that the proposed algorithm performs better than GEI + 2D-PCA and SFDEI + HMM and meets the real-time requirements.

AIS Development in Recent Years and Message Decoding

2014 ◽  
Vol 536-537 ◽  
pp. 776-781
Author(s):  
Chen Xu ◽  
Ling Long Kong
Keyword(s):  
Software Development ◽  
Monitoring System ◽  
Technical Support ◽  
Automatic Identification ◽  
Identification System ◽  
Dynamic Information ◽  
Development Environment ◽  
Marine Monitoring ◽  
Software Development Environment ◽  
Static Information

Based on the development of ship borne Automatic Identification System (AIS) and the expansion of AIS application in maritime management, in this paper, we expound AIS Development in recent years, summarize the additional content of Recommendation ITU-R M.1371-4, analyze the format of AIS message, realize the decoding of AIS message in software development environment and store the dynamic information and static information of the ship to the database, thus provide technical support in marine monitoring system.

Knowing Which Day of the Week it is: Temporal Structure and Dynamics of Memory

2008 ◽  
Vol 102 (3) ◽  
pp. 893-902 ◽  
Author(s):  
Ophélie Carreras ◽  
Céline Lemercier ◽  
Marie-Françoise Valax
Keyword(s):  
Time Management ◽  
Temporal Structure ◽  
General Context ◽  
Dynamic Information ◽  
Wrong Response ◽  
Temporal Representation ◽  
Static Information ◽  
Complementary Role ◽  
The Future ◽  
Sense Of Time

The complementary role of static and dynamic information used when one needs to be located in time was studied. Static information refers to temporal knowledge about days of the week, and dynamic information reflects a sense of time, taking into account the present, the near past, and the future. Each day of an actual 7-day wk., 699 women and 620 men were asked to provide a “right” or “wrong” response to a statement such as “Today is T.,” where X was the name of one of the seven days of the week. Analysis suggested use of a structured temporal representation of the week: the weekend, a landmark, had an anchoring role. Also the dynamics of the content of working memory were indicated. The active “temporal window” participants hold in mind seems directed more towards the future than the past. Results are discussed within the more general context of time management.

INFORMATION-BASED EVACUATION EXPERIMENT AND ITS CELLULAR AUTOMATON SIMULATION

2009 ◽  
Vol 20 (10) ◽  
pp. 1583-1596 ◽  
Author(s):  
LIZHONG YANG ◽  
SHAOBO LIU ◽  
JIAN LI ◽  
KONGJIN ZHU ◽  
TINGYONG FANG
Keyword(s):  
Cellular Automaton ◽  
Simulation Method ◽  
Spatial Distance ◽  
Building Structure ◽  
Dynamic Information ◽  
Distance Information ◽  
Fire Alarm ◽  
Static Information ◽  
Crowd Movement ◽  
Movement Simulation

The evacuation process under emergency is studied by means of experiments and simulations, focusing on the influence of the environment information. A revised cellular automaton model in which environment information is considered as "static information" (building structure, spatial distance, etc.) and "dynamic information" (sounds of fire alarm, etc.) is introduced. Two scenarios, including evacuation with and without visibility in a classroom, are studied to investigate the different influence of the two kinds of information on human behavior. The experimental and simulation results demonstrate that: (1) to intensify the spatial distance information can reduce the evacuation time; (2) the spatial distance is not the only decisive factor especially in evacuation without visibility because the sound information, which is ignorable in evacuation with visibility, is playing a more important role under this condition; (3) the intensity of static information can reflect evacuees' familiarity of the environment; (4) the model can reproduce the experiments well, and the simulation method is useful for further study of the crowd movement simulation.

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