Unify The View of Camera Mesh Network to a Common Coordinate System

2021 ◽  
Vol 2021 (17) ◽  
pp. 175-1-175-8
Author(s):  
Haney W. Williams ◽  
Steven J. Simske ◽  
Fr. Gregory Bishay
Keyword(s):  
Common Knowledge ◽  
Past Research ◽  
Unmanned Vehicles ◽  
Mesh Network ◽  
Second Phase ◽  
Intelligence Gathering ◽  
Common Coordinate System ◽  
Security Surveillance ◽  
Areas Of Interest ◽  
Learning Data

The demand for object tracking (OT) applications has been increasing for the past few decades in many areas of interest, including security, surveillance, intelligence gathering, and reconnaissance. Lately, newly-defined requirements for unmanned vehicles have enhanced the interest in OT. Advancements in machine learning, data analytics, and AI/deep learning have facilitated the improved recognition and tracking of objects of interest; however, continuous tracking is currently a problem of interest in many research projects. [1] In our past research, we proposed a system that implements the means to continuously track an object and predict its trajectory based on its previous pathway, even when the object is partially or fully concealed for a period of time. The second phase of this system proposed developing a common knowledge among a mesh of fixed cameras, akin to a real-time panorama. This paper discusses the method to coordinate the cameras' view to a common frame of reference so that the object location is known by all participants in the network.

Object Tracking Continuity through Track and Trace Method

2020 ◽  
Vol 2020 (16) ◽  
pp. 299-1-299-7
Author(s):  
Haney W. Williams ◽  
Steven J. Simske
Keyword(s):  
Object Tracking ◽  
Detection Algorithm ◽  
Unmanned Vehicles ◽  
Intelligence Gathering ◽  
Image Tracking ◽  
The Past ◽  
The Face ◽  
Security Surveillance ◽  
Areas Of Interest ◽  
Learning Data

The demand for object tracking (OT) applications has been increasing for the past few decades in many areas of interest: security, surveillance, intelligence gathering, and reconnaissance. Lately, newly-defined requirements for unmanned vehicles have enhanced the interest in OT. Advancements in machine learning, data analytics, and deep learning have facilitated the recognition and tracking of objects of interest; however, continuous tracking is currently a problem of interest to many research projects. This paper presents a system implementing a means to continuously track an object and predict its trajectory based on its previous pathway, even when the object is partially or fully concealed for a period of time. The system is composed of six main subsystems: Image Processing, Detection Algorithm, Image Subtractor, Image Tracking, Tracking Predictor, and the Feedback Analyzer. Combined, these systems allow for reasonable object continuity in the face of object concealment.

Variables Affecting University Student Ratings of Instructor Behavior

1978 ◽  
Vol 15 (2) ◽  
pp. 287-299 ◽  
Author(s):  
R. Gene Hoffman
Keyword(s):  
Past Research ◽  
Student Ratings ◽  
University Student ◽  
Presentation Format ◽  
Check List ◽  
Course Performance ◽  
Instructional Characteristics ◽  
Instructional Outcomes ◽  
Instructor Behavior ◽  
Learning Data

The relevance of university student ratings, obtained using the Check-List of Instructional Characteristics, was assessed by examining relationships with potential contaminating factors (class size, presentation format, students’ initial interest, and personal impression of the instructor) and relationships with instructional outcomes (outcome interest, course performance, and self-reported learning). Data were analyzed for 115 varied courses, 75 mathematics classes, and 28 speech classes. Suggestions were made for controlling bias found to be associated with size, format, and initial interest. Student’s ratings of instructors’ Knowledge and Skill, and student’s Overall Satisfaction were related to student’s outcome interest. Results are discussed in light of inconsistencies of past research.

An innovative evaluation platform for new aircraft concepts

2010 ◽  
Vol 114 (1157) ◽  
pp. 451-456 ◽  
Author(s):  
P. Schmollgruber ◽  
J.-L. Gobert ◽  
P.-E. Gall ◽  
Z. Goraj ◽  
H. W. Jentink ◽  
...  
Keyword(s):  
Test Facility ◽  
Second Phase ◽  
Design And Manufacturing ◽  
Final Integration ◽  
Potential Benefits ◽  
Aerial Vehicle ◽  
Competitive Test ◽  
Areas Of Interest ◽  
Evaluation Platform ◽  
Research Centres

Abstract Within the European project NACRE (New Aircraft Concept REsearch), a team of research centres and universities focuses on the assessment of a test facility in the form of a flying platform. The goal of this Innovative Evaluation Platform (IEP) is to offer engineers a new tool to investigate areas of interest during the early design phases of advanced aeronautical systems. After an initial phase during which the potential benefits of such a platform have been demonstrated, the go-ahead for the IEP design and manufacturing has been given. In this second phase, a lot of attention has been brought to the system specifications since the platform has to meet the requirements of both an aerial vehicle and a test facility. The subsequent design process followed a stringent course of actions to achieve the design of a competitive test facility. The consortium aims for a final integration and flight trials in fall 2009.

A SYSTEM FOR DETECTING AND RECOGNIZING MOVING BIOLOGICAL OBJECTS FOR UNMANNED VEHICLES BASED ON INTELLIGENT EDGE COMPUTING

2021 ◽  
Author(s):  
М.А. АЛЬ-СВЕЙТИ ◽  
А.С. МУТХАННА ◽  
А.С. БОРОДИН ◽  
А.Е. КУЧЕРЯВЫЙ
Keyword(s):  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Autonomous Vehicle ◽  
Unmanned Vehicles ◽  
Mesh Network ◽  
New Approach ◽  
Remote Areas ◽  
The Road ◽  
Biological Objects ◽  
Time Critical

Обсуждается возможность применения бортовых платформ с целью поддержки наземных сетей для использования ресурсов автономных транспортных средств как части критичных к задержкам приложений. Бортовые платформы могут повысить безопасность поездок транспортных средств, доставляя на них своевременную информацию об окружающей обстановке даже в отдаленных районах земного шара. Обсуждаются требования и потенциальные решения для поддержки инфраструктуры автономных транспортных средств как части интеллектуальной транспортной системы. Предлагается использовать вдоль дороги энергоэффективные сенсоры, которые могут объединяться друг с другом в Mesh-сети. Кроме того, предлагается новый подход к обнаружению активности биологических объектов на обочине дороги, основанный на технологиях искусственного интеллекта. The article discusses the possibility of using onboard platforms to support the terrestrial networks for autonomous vehicles resources as a part of delay-critical applications. Onboard platforms can improve the safety of vehicle rides by delivering time-critical information about the environment to the vehicles, even in remote areas of the world. In this paper, we discuss requirements and potential solutions for supporting the autonomous vehicle infrastructure, as a part of an intelligent transportation system. It is proposed to use energy-efficient sensors along the road, which can connect with each other in a Mesh network. In addition, a new approach for the detection of biological objects activity on the roadside, based on artificial intelligence technologies is suggested.

scholarly journals A Hybrid Tabu Search and 2-opt Path Programming for Mission Route Planning of Multiple Robots under Range Limitations

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 534 ◽  
Author(s):  
Meng-Tse Lee ◽  
Bo-Yu Chen ◽  
Ying-Chih Lai
Keyword(s):  
Tabu Search ◽  
Large Scale ◽  
Optimal Path ◽  
Route Planning ◽  
Unmanned Vehicles ◽  
Programming Algorithm ◽  
Second Phase ◽  
Two Phase ◽  
Exchange Method ◽  
Unmanned Vehicle

The application of an unmanned vehicle system allows for accelerating the performance of various tasks. Due to limited capacities, such as battery power, it is almost impossible for a single unmanned vehicle to complete a large-scale mission area. An unmanned vehicle swarm has the potential to distribute tasks and coordinate the operations of many robots/drones with very little operator intervention. Therefore, multiple unmanned vehicles are required to execute a set of well-planned mission routes, in order to minimize time and energy consumption. A two-phase heuristic algorithm was used to pursue this goal. In the first phase, a tabu search and the 2-opt node exchange method were used to generate a single optimal path for all target nodes; the solution was then split into multiple clusters according to vehicle numbers as an initial solution for each. In the second phase, a tabu algorithm combined with a 2-opt path exchange was used to further improve the in-route and cross-route solutions for each route. This diversification strategy allowed for approaching the global optimal solution, rather than a regional one with less CPU time. After these algorithms were coded, a group of three robot cars was used to validate this hybrid path programming algorithm.

scholarly journals Visualizing Domain Coherence: Social Informatics as a Case Study

2013 ◽  
Vol 23 (1) ◽  
pp. 49 ◽  
Author(s):  
Lori Ann Rung Hoeffner ◽  
Richard P Smiraglia
Keyword(s):  
Information Science ◽  
Past Research ◽  
Social Informatics ◽  
Computer Mediation ◽  
Methodological Approaches ◽  
Citation Practices ◽  
American Society ◽  
Prolific Authors ◽  
Areas Of Interest

Using bibliometric methods of inquiry, one of the eleven approaches of domain-analytic research offered by HjØrland (2002), we were able to visualize the emerging field of social informatics (SI). Past research has demonstrated the breadth and depth of biblometric tools by investigating a variety of research communities (White and Griffith 1981; Tsay 1989; McCain 1991; Borgman and Rice 1992; White and McCain 1998; Smiraglia 2006, 2009, Moore 2007; Jank 2010). Using the published literature produced in SI from 1997 through 2009, allowed visualization of domain-coherence in SI. Concepts that were utilized by which to measure domain coherence include the number of ideas espoused (Collins 1998, 42), scholarly productivity (Crane 1972), and the number of scholars participating (Price 1986; Collins 1998). In this lightning paper based on a recent dissertation (Hoeffner 2012) we will present a visualization based on the analysis of social informatics’ literature, showing growth in publication productivity, evidence of intellectually and socially connected scholars, reliance on scholars from within the fields of information science, and computer science, and two or three topical areas of interest that pertained to communication and aspects of computer mediation, as well as policy and access. Discourse among scholars was evident, and although the Journal of the American Society for Information Science & Technology overwhelming published the largest number of SI work, there was representation in a few key journals. Author co-citation patterns revealed a core group of scholars commonly cited together, and an investigation of self-citation practices revealed slightly less evidence among SI’s most prolific authors than in science overall. Recently, Smiraglia (2012) defined a domain as “a domain is a group with an ontological base that reveals an underlying teleology, a set of common hypotheses, epistemological consensus on methodological approaches, and social semantics.” Our visualization demonstrates continued coherence of SI as a domain.

What is a Portal?

2011 ◽  
pp. 1194-1199 ◽  
Author(s):  
Antti Ainamo ◽  
Christian Marxt
Keyword(s):  
Search Engines ◽  
Common Knowledge ◽  
The United States ◽  
Free Access ◽  
Second Phase ◽  
Web Portals ◽  
Science Projects ◽  
Third Stage ◽  
History Of ◽  
The Web

The brief history of Web portals is beginning to be common knowledge for software and engineering designers and researchers specialized on the technologies of the Web(Berners-Lee & Fischetti, 1997). The first Web portals were a product of large government-sponsored “big science” projects in the United States and Europe that spawned private online services, such as AOL (Tuomi, 2002). These new businesses provided access to the Web for a fee. Then, in a second phase, companies such as Yahoo, Alta Vista, and Google appeared. As search engines they enabled users to find other pages on the Web. In contrast to AOL, they provided free access to all free pages to all users who had a technical connection to the Web. Now, in a third stage, many of these traditional search engines have begun their transformation into Web portals to attract and keep a larger audience (Tatnall, in this volume; Webomadia, 2006).

Nonhuman sequence learning findings argue against Hoerl and McCormack's two systems of temporal cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Benjamin J. De Corte ◽  
Edward A. Wasserman
Keyword(s):  
Sequence Learning ◽  
Past Research ◽  
Ordinal Position ◽  
Temporal Cognition ◽  
Two Systems

Abstract Hoerl & McCormack propose that animals learn sequences through an entrainment-like process, rather than tracking the temporal addresses of each event in a given sequence. However, past research suggests that animals form “temporal maps” of sequential events and also comprehend the concept of ordinal position. These findings suggest that a clarification or qualification of the authors’ hypothesis is needed.

Selection and Preparation of Specific Tissue Regions For Tem Using Large Epoxy-Embedded Blocks

1973 ◽  
Vol 31 ◽  
pp. 324-325 ◽  
Author(s):  
P. M. Lowrie ◽  
W. S. Tyler
Keyword(s):  
Electron Microscopy ◽  
Anatomical Structures ◽  
Ultrastructural Studies ◽  
Transmission Electron ◽  
Microscopic Evaluation ◽  
Embedded Blocks ◽  
Specific Tissue ◽  
Definition Of ◽  
Areas Of Interest ◽  
Selection Of

The importance of examining stained 1 to 2μ plastic sections by light microscopy has long been recognized, both for increased definition of many histologic features and for selection of specimen samples to be used in ultrastructural studies. Selection of specimens with specific orien ation relative to anatomical structures becomes of critical importance in ultrastructural investigations of organs such as the lung. The uantity of blocks necessary to locate special areas of interest by random sampling is large, however, and the method is lacking in precision. Several methods have been described for selection of specific areas for electron microscopy using light microscopic evaluation of paraffin, epoxy-infiltrated, or epoxy-embedded large blocks from which thick sections were cut. Selected areas from these thick sections were subsequently removed and re-embedded or attached to blank precasted blocks and resectioned for transmission electron microscopy (TEM).

Grain Refinement in Titanium-Erbium Alloys

1974 ◽  
Vol 32 ◽  
pp. 522-523
Author(s):  
B. B. Rath ◽  
J. E. O'Neal ◽  
R. J. Lederich
Keyword(s):  
Electron Microscopy ◽  
Size Distribution ◽  
Grain Refinement ◽  
Grain Growth ◽  
Volume Fraction ◽  
Pure Titanium ◽  
Systematic Investigation ◽  
Second Phase ◽  
Titanium Matrix ◽  
Average Size

Addition of small amounts of erbium has a profound effect on recrystallization and grain growth in titanium. Erbium, because of its negligible solubility in titanium, precipitates in the titanium matrix as a finely dispersed second phase. The presence of this phase, depending on its average size, distribution, and volume fraction in titanium, strongly inhibits the migration of grain boundaries during recrystallization and grain growth, and thus produces ultimate grains of sub-micrometer dimensions. A systematic investigation has been conducted to study the isothermal grain growth in electrolytically pure titanium and titanium-erbium alloys (Er concentration ranging from 0-0.3 at.%) over the temperature range of 450 to 850°C by electron microscopy.

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