In 1997, Azuma published a survey on augmented reality (AR). Our goal is to complement, rather than replace, the original survey by presenting representative examples of the new advances. We refer one to the original survey for descriptions of potential applications (such as medical visualization, maintenance and repair of complex equipment, annotation, and path planning); summaries of AR system characteristics (such as the advantages and disadvantages of optical and video approaches to blending virtual and real, problems in display focus and contrast, and system portability); and an introduction to the crucial problem of registration, including sources of registration error and error-reduction strategies.

https://www.cc.gatech.edu/~blair/papers/ARsurveyCGA.pdf

Recent advances in augmented reality

This ebook is the first authorized digital version of Kernighan and Ritchie's 1988 classic, The C Programming Language (2nd Ed.). One of the best-selling programming books published in the last fifty years, "K&R" has been called everything from the "bible" to "a landmark in computer science" and it has influenced generations of programmers. Available now for all leading ebook platforms, this concise and beautifully written text is a "must-have" reference for every serious programmers digital library.

As modestly described by the authors in the Preface to the First Edition, this "is not an introductory programming manual; it assumes some familiarity with basic programming concepts like variables, assignment statements, loops, and functions. Nonetheless, a novice programmer should be able to read along and pick up the language, although access to a more knowledgeable colleague will help."

The C programming language

We are on the verge of ubiquitously adopting Augmented Reality (AR) technologies to enhance our percep- tion and help us see, hear, and feel our environments in new and enriched ways. AR will support us in fields such as education, maintenance, design and reconnaissance, to name but a few. This paper describes the field of AR, including a brief definition and development history, the enabling technologies and their characteristics. It surveys the state of the art by reviewing some recent applications of AR technology as well as some known limitations regarding human factors in the use of AR systems that developers will need to overcome.

/pdf/a-survey-of-augmented-reality-technologies-applications-and-3d9hf1tnc4.pdf

A Survey of Augmented Reality Technologies, Applications and Limitations

The Grid 2: Blueprint for a New Computing Infrastructure

C4.5: Programs for Machine Learning (書評)

This paper presents the ARCHEOGUIDE project (Augmented Reality-based Cultural Heritage On-site GUIDE). ARCHEOGUIDE is an IST project, funded by the EU, aiming at providing a personalized electronic guide and tour assistant to cultural site visitors. The system provides on-site help and Augmented Reality reconstructions of ancient ruins, based on user's position and orientation in the cultural site, and realtime image rendering. It incorporates a multimedia database of cultural material for on-line access to cultural data, virtual visits, and restoration information. It uses multi-modal user interfaces and personalizes the flow of information to its user's profile in order to cater for both professional and recreational users, and for applications ranging from archaeological research, to education, multimedia publishing, and cultural tourism. This paper presents the ARCHEOGUIDE system and the experiences gained from the evaluation of an initial prototype by representative user groups at the archeological site of Olympia, Greece.

Archeoguide: first results of an augmented reality, mobile computing system in cultural heritage sites

Design and development issues for ARCHEOGUIDE: An Augmented Reality based cultural heritage on-site guide

We developed a two-phase algorithm for solving Delta Air Lines' bidline-generation problem: assigning trips (tasks) to monthly schedules for crew members (called bidlines.) The system must produce bidlines that conform to all rules, and it should maximize average total value and the quality of the bidlines as measured by their purity. The first phase of the algorithm (the purity phase) constructs as many high-quality lines as possible, and the second (the GA phase) completes the assignments by constructing high-total-value valid lines from the remaining open trips. Delta obtains significant savings in staffing by using this algorithm. The bidlines produced are of comparable quality to those built with the semiautomatic process that Delta Air Lines used before.

A Two-Phase Genetic Algorithm for Large-Scale Bidline-Generation Problems at Delta Air Lines

In this paper, we describe SuperTrust, a novel and efficient framework designed to handle trust relationships in Super-peer networks. What distinguishes SuperTrust from other works is that trust reports remain encrypted and are never opened during the submission or aggregation processes, thus guaranteeing privacy, anonymity, fairness, persistence and eligibility of transactions.

SuperTrust: a secure and efficient framework for handling trust in super-peer networks

We present a novel optimization-based method for the combination of cluster ensembles for the class of problems with intracluster criteria, such as Minimum-Sum-of-Squares-Clustering (MSSC). We propose a simple and efficient algorithm-called EXAMCE-for this class of problems that is inspired from a Set-Partitioning formulation of the original clustering problem. We prove some theoretical properties of the solutions produced by our algorithm, and in particular that, under general assumptions, though the algorithm recombines solution fragments so as to find the solution of a Set-Covering relaxation of the original formulation, it is guaranteed to find better solutions than the ones in the ensemble. For the MSSC problem in particular, a prototype implementation of our algorithm found a new better solution than the previously best known for 21 of the test instances of the 40-instance TSPLIB benchmark data sets used in, and and found a worse-quality solution than the best known only five times. For other published benchmark data sets where the optimal MSSC solution is known, we match them. The algorithm is particularly effective when the number of clusters is large, in which case it is able to escape the local minima found by K-means type algorithms by recombining the solutions in a Set-Covering context. We also establish the stability of the algorithm with extensive computational experiments, by showing that multiple runs of EXAMCE for the same clustering problem instance produce high-quality solutions whose Adjusted Rand Index is consistently above 0.95. Finally, in experiments utilizing external criteria to compute the validity of clustering, EXAMCE is capable of producing high-quality results that are comparable in quality to those of the best known clustering algorithms.

Ioannis T. Christou

Papers

Archeoguide: first results of an augmented reality, mobile computing system in cultural heritage sites

Design and development issues for ARCHEOGUIDE: An Augmented Reality based cultural heritage on-site guide

A Two-Phase Genetic Algorithm for Large-Scale Bidline-Generation Problems at Delta Air Lines

SuperTrust: a secure and efficient framework for handling trust in super-peer networks

Coordination of Cluster Ensembles via Exact Methods