Richard Kolacinski - Academia.edu (original) (raw)

Papers by Richard Kolacinski

Cornell University - arXiv, Jan 10, 2020

This paper summarizes the operational challenges imposed by integration of renewable electricity ... more This paper summarizes the operational challenges imposed by integration of renewable electricity generation units in transmission level where the most common renewable generation units are solar and wind farms at the scale of 100s to 1000s MW. Such units, because of their stochastic nature, introduce new complexity and uncertainty to the grid. Throughout this paper, some results from the recent planning study of integration of 1,000 MW offshore wind farm into the U.S. Eastern Interconnection transmission system are shown.

2020 IEEE 14th International Conference on Semantic Computing (ICSC), 2020

Millions of online discussions are generated everyday on social media platforms. Topic modelling ... more Millions of online discussions are generated everyday on social media platforms. Topic modelling is an efficient way of better understanding large text datasets at scale. Conventional topic models have had limited success in online discussions, and to overcome their limitations, we use the discussion thread tree structure and propose a "popularity" metric to quantify the number of replies to a comment to extend the frequency of word occurrences, and the "transitivity" concept to characterize topic dependency among nodes in a nested discussion thread. We build a Conversational Structure Aware Topic Model (CSATM) based on popularity and transitivity to infer topics and their assignments to comments. Experiments on real forum datasets are used to demonstrate improved performance for topic extraction with six different measurements of coherence and impressive accuracy for topic assignments.

International Journal of Semantic Computing, 2020

With the explosive growth of online discussions published everyday on social media platforms, com... more With the explosive growth of online discussions published everyday on social media platforms, comprehension and discovery of the most popular topics have become a challenging problem. Conventional topic models have had limited success in online discussions because the corpus is extremely sparse and noisy. To overcome their limitations, we use the discussion thread tree structure and propose a “popularity” metric to quantify the number of replies to a comment to extend the frequency of word occurrences, and the “transitivity” concept to characterize topic dependency among nodes in a nested discussion thread. We build a Conversational Structure Aware Topic Model (CSATM) based on popularity and transitivity to infer topics and their assignments to comments. Experiments on real forum datasets are used to demonstrate improved performance for topic extraction with six different measurements of coherence and impressive accuracy for topic assignments.

IEEE Transactions on Industry Applications, 2019

This paper addresses the transient stability (also called large-signal stability) analysis of pow... more This paper addresses the transient stability (also called large-signal stability) analysis of power systems for offshore wind power plant integration planning studies. In particular, this study develops a comprehensive practical methodology to assess the transient stability of power systems, including rotor angle stability, voltage stability, and frequency response for large scale power systems. This methodology considers variability of the offshore wind power plants as well as the type of any faulted system' components present and is applicable to the study of both short term and long term faults. Part I of this research discussed the short term faults whereas as Part II, the present paper, discusses long term faults. This research considers the integration of offshore wind power plants into existing power systems and demonstrates the utility of this methodology through the examination of the specific case of integrating 1,000 MW of offshore wind power into the FirstEnergy/PJM service territory using a realistic model of 63k-bus test system that represents the U.S. Eastern Interconnection.

Swarm and Evolutionary Computation, 2019

We propose a novel Swarm Intelligence-based approach for anomaly detection of dynamic systems. Sp... more We propose a novel Swarm Intelligence-based approach for anomaly detection of dynamic systems. Specifically, we consider observation processes for dynamic systems from a foraging perspective, and ant foraging behaviorbased search techniques are applied to the discovery of the 'intrinsic communication topology' of systems. The key idea exploited here is that systems can be viewed as 'communication networks' where interconnected elements communicate with one another through physical phenomena and the elements 'process' the communications through their dynamics; this defines the 'intrinsic communication topology' of the system. The behaviors of individual elements can be at least partially observed in the dynamics of other communicating system elements and, hence, condition changes will be reflected in changes in the intrinsic communications. Anomaly detection is then performed by observing the changes in the intrinsic communication topology by tracking graph similarity measures and using change point detection to determine when statistically significant changes have occurred. The performance of the proposed approach is investigated in simulation where we consider a system composed of multiple networks, each with different topologies and connection strengths, and where the individual networks comprising the system can be switched at arbitrary times. The proposed methodology is applied to this system to detect the switches between the networks and to discover the communication topologies associated with each of the network configurations.

This paper presents the application of human swarms to the task of testing a hardware/software sy... more This paper presents the application of human swarms to the task of testing a hardware/software system with "humans in the loop" (HIL). The system is designed for automation of material handling processes onboard Navy vessels during underway replenishment operations (UNREP). We distinguish between local information, propagated local information and global information, and demonstrate that hybrid systems consisting of hardware, software and humans can exhibit improved performance by propagating local information without incurring the costs of distributing global data using ubiquitous network of sensors. By identifying locations for "data- pipelines" and propagating local information to locations where it can be best applied, we can re- route material in the presence of real-time path blockages and delays thereby realizing better use of available human and hardware resources.

2020 IEEE 14th International Conference on Semantic Computing (ICSC), Feb 1, 2020

Click-through data has proven to be a valuable resource for improving search-ranking quality. Sea... more Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can make it difficult to use the data effectively. In order to measure the effects of biases, many click models have been proposed in the literature. However, none of the models can explain the observation that users with different search intent (e.g., informational, navigational, etc.) have different click behaviors. In this paper, we study how differences in user search intent can influence click activities and determined that there exists a bias between user search intent and the relevance of the document relevance. Based on this observation, we propose a search intent bias hypothesis that can be applied to most existing click models to improve their ability to learn unbiased relevance. Experimental results demonstrate that after adopting the search intent hypothesis, click models can better interpret user clicks and substantially improve retrieval performance.

We present a novel swarm-based distributed sensing and control system for power generation equipm... more We present a novel swarm-based distributed sensing and control system for power generation equipment management. The swarm-based algorithms are constructed using a statistical mechanical approach and thus provides a rigorous foundation for first principles design. In particular, the behaviors of swarm agents are specified probabilistically to emulate annealed disorder which in turn provides the wherewithal to formulate closed-form solutions for mean first passage time and thus a diffusion rate for agent behaviors. The swarm algorithms are thus tunable in terms of desired performance requirements such as response time. The swarm-based coordination systems efficacy is demonstrated via the coordination of a pair of coupled nonlinear oscillators.

In this paper, we investigate the mechanical design of a wind driven Martian Rover whose physical... more In this paper, we investigate the mechanical design of a wind driven Martian Rover whose physical design is based upon the Russian Thistle (Salsola tragus) and is intended for use within a collective of wind driven rovers whose behaviours are coordinated via swarm intelligence-based algorithms. Specifically, we examine the physical attributes and capabilities necessary for a wind driven rover to

2013 Ieee Energytech, 2013

Today's power systems are undergoing an evolutionary transformation where novel sensors, organize... more Today's power systems are undergoing an evolutionary transformation where novel sensors, organized as sensor networks, are providing tremendous amounts of real-time data that is useful for improving situational awareness. It is becoming increasing evident in large-scale power systems, as in many other applications, that the associated big data is both an opportunity and a challenge. In this paper we describe an approach that merges important concepts from information theory, applied to cyber-physical systems (CPS), with a computational method for modeling large-scale cyber-physical systems, referred to as System Structure. An important aspect of this approach is the interpretation of a large-scale cyber-physical system as an information processing network, where System Structure provides an approach for quantifying interactions between nodes in the network through the computation of system measures.

Journal of Aircraft, May 22, 2012

ABSTRACT A novel hierarchical modular control methodology using closed-loop flow control for acti... more ABSTRACT A novel hierarchical modular control methodology using closed-loop flow control for active virtual shaping of aerodynamic surfaces is developed. Through wind tunnel experimentation and numerical simulation, we show that collocated sensor-actuator pairs and closed-loop feedback control can effectively modulate the local flow phenomenon and, furthermore, by coordinating the local flow phenomenon, macroscopic force and moment effects can be induced on the aerodynamic surface. The results of flow experiments at Mach 0.08 on a two-dimensional airfoil are used to construct a dynamic model of the effect of discrete suction actuators, and a closed-loop adaptive control system is designed to modulate the local flow phenomenon based on this model. A feedforward control system is then constructed to coordinate the behavior of multiple intelligent control modules, each composed of a collocated sensor-actuator pair and a closed-loop control system. In conclusion, we use a full six-degree-of-freedom numerical simulation to investigate the application of the aggregate system to tracking desired rolling and pitching moment trajectories via actuator-induced aeroshaping of the aerodynamic surfaces of an aircraft.

Small unmanned aerial vehicles (UAVs) equipped with navigation and video capabilities can be used... more Small unmanned aerial vehicles (UAVs) equipped with navigation and video capabilities can be used to perform target localization. Combining UAV state estimates with image data leads to bearing measurements of the target that can be processed to determine its position. This 3-D bearings-only estimation problem is nonlinear and traditional filtering methods are prone to biases, noisy estimates, and filter instabilities. The performance of the target localization is highly dependent on the vehicle trajectory, motivating the development of optimal UAV trajectories. This work presents methods for designing trajectories that increase the amount of information provided by the measurements and shows that these trajectories lead to enhanced estimation performance.

Developing technology and systems for future power systems requires an evolutionary approach wher... more Developing technology and systems for future power systems requires an evolutionary approach where new "smart" grid technologies can be seamlessly integrated with the existing infrastructure and the ongoing overlay of new sensing and communication systems. As the diversity of these new technologies increases, the robust and secure operation of the grid will become dependent upon a detailed understanding of both physical and cyber components as well as their interactions. This paper focuses on the development of a mathematical framework and computational methodology that can be used to evaluate the stability and operational security of a complex cyber-physical power system in the context of stochastic hybrid dynamical systems, and proposes an approach based on embedding and symbolic dynamics that can be used to analyze complex system behaviors by encoding the system dynamics into symbol strings.

Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 1998

... Recent work by many researchers has demonstrated the advantages of using biomimetic methodolo... more ... Recent work by many researchers has demonstrated the advantages of using biomimetic methodologies for ... A hexapod walking machine [4] using active, variable joint stiffnesses has been ... Examination of (8) reveals that increasing defor-mation, 3, will increase the stiffness as ...