Public transport networks of fourteen cities of so far unexplored network size are analyzed in standardized graph representations: the simple graph of the network map, the bipartite graph of routes and stations, and both one mode projections of the latter. Special attention is paid to the inter-relations and spatial embedding of transport routes. This systematic approach reveals rich behavior b...

How can we describe and measure real robotic sys-tems? Implemented robotic systems for intelligent tasks are are often extremely complicated, depending not only onìnteresting' theoretical parameters and models, but on many assumptions and constants which may be set almost arbitrarily. In order to evaluate and compare systems which employ diverse components and methods, we are obliged to employ ...

Much contemporary development process research is based on analyses of process steps, their duration, and the events they propagate. Our initial research in large, mature telecommunications development processes concluded that such models do not capture abstractions that remain stable over time. We turned our attention instead to empirical role-based models. The basic abstraction in the model i...

Pneumatic Artificial Muscle (PAM) yields natural muscle-like actuator with high force to weight ratio, soft and flexible structure, and adaptable compliance for rehabilitation and prosthetic appliances to the disabled. To obtain optimum design and usage, there is significance to understand mechanical behavior of the PAM. In this study, experimental results reveal empirical modeling for relation...

Variability in software process models justifies tailoring them to meet the specific goals and characteristics of organizations and projects. At the present time, processes are modeled using different notations which typically do not have constructs which are appropriate for expressing process variability. To fill this gap, we have extended SPEM to vSPEM, by adding new variability constructs (s...

Empirical Bayes methods use the data from parallel experiments, for instance observations Xk ~ 𝒩 (Θ k , 1) for k = 1, 2, …, N, to estimate the conditional distributions Θ k |Xk . There are two main estimation strategies: modeling on the θ space, called "g-modeling" here, and modeling on the×space, called "f-modeling." The two approaches are de- scribed and compared. A series of computational fo...

Introduction The role of social networks in the proliferation of deviant behavior, including commissions of individual acts of crime, remains a largely unexplored area of research. The study of social networks as a specialty in sociology is nascent and has generally focused on relatively easily observable and measurable networks, such as those in the workplace or small networks of friends. The ...

I. MOTIVATION The way how humans maintain balance during standing and locomotion has been an active area of research for many years now, with applications in bipedal robotics, leg prosthetics, and rehabilitation. However, most studies are limited to standing and walking on immobile surfaces, or on externally perturbed platforms and treadmills. Less is known about unstable, passive support surfa...

Modeling teams is becoming an increasingly active topic for the research communities of multi-agent systems, cognitive modeling, and decision making. Many research efforts have tried to use software-agents to model teamwork. However, we found little work has been done comparing different methods with common experiments. The Agent-based Modeling and Behavior Representation (AMBR) project has com...

We present a characterization of empirical price data from sponsored search auctions. We show that simple models drawing bid values independently from a fixed distribution can be tuned to match empirical data on average, but still fail to account for deviations observed in individual auctions. Hypothesizing that these deviations are due to strategic bidding, we define measures of “jamming” beha...