The work presented in this paper is built on a series of experiments aiming to develop a data-dri... more The work presented in this paper is built on a series of experiments aiming to develop a data-driven and automated method for seal diagnostics using Acoustic Emission (AE) features. Seals in machineries operate in harsh conditions, and seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In this study, we implemented a data-driven diagnostics approach which utilizes AE measurements along with light weight Artificial Neural Networks (ANN) as a classifier to investigate the performance and resources (hardware & software) required for implementing a real-time soft sensor unit for monitoring seal wear condition. We used a feedforward multilayer perceptron ANN (Scaled Conjugate Gradient- SCG algorithm) that is trained with the back propagation algorithm, which is a popular network architecture for a ...
Managing the quality of platform complements: The case of extensions in open source software platforms
ABSTRACT High-technology industries have been witnessing the emergence of a product system where ... more ABSTRACT High-technology industries have been witnessing the emergence of a product system where core components (a platform) provided by a focal company and complements provided by external parties. To satisfy the increasing demands for new and customized features product, companies had to reach beyond their organizational boundaries to seek external sources of innovation. To align external innovation with their goals and protect the integrity their platform, companies need to take a more active role coordinating the flow of ideas and controlling the quality of innovation outcomes. This research focuses on exploring strategies followed by software platform owners to manage the quality of complements (such as plug-ins that extends the functionality of the platform) developed by external parties. The outcomes of the research contribute to our understanding of the strategies followed by platform owners to manage external innovation in the case of platform extensions in two areas: i) governance models, and ii) regulatory instruments.
Growth of the Mashup Ecosystem and Niche Formation
ABSTRACT Mashup development has been a showcase of user innovation. Mashups are constructed withi... more ABSTRACT Mashup development has been a showcase of user innovation. Mashups are constructed within an ecosystem of data providers who offer open APIs to users, users who combine these open APIs into applications (so-called mashups), and mashup platforms facilitating the construction and publication of mashups. In this paper, we are conducting a comparative analysis between the current status of the mashup ecosystem and a previous analysis reported by the authors in 2010. We 5nd that i) many of the observations previously made about the mashup ecosystem still hold, ii) the evolution of the mashup ecosystem can be explained in terms of ecosystem niches anchored around hub or keystone APIs, and iii) further understanding of the evolution of the mashup ecosystem can be gained by applying a lens of biological speciation.
In this paper we explore an issue that has not received sufficient attention by the research lite... more In this paper we explore an issue that has not received sufficient attention by the research literature, although it is of great practical importance. We examine the strategies followed by platform providers to manage the quality of platform complements developed by other parties. To keep the study to a manageable size, we limit our scope to software platforms and to one type of complement: platform extensions, which extend the functionality of a platform beyond its core capabilities. Quality management of platform extensions is a concern for platform providers, as the value of a platform is realized as the value of the system comprising platform and complements.
In this paper we explore an issue that has not received sufficient attention by the research lite... more In this paper we explore an issue that has not received sufficient attention by the research literature, although it is of great practical importance. We examine the strategies followed by platform providers to manage the quality of platform complements developed by other parties. To keep the study to a manageable size, we limit our scope to software platforms and to one type of complement: platform extensions, which extend the functionality of a platform beyond its core capabilities. Quality management of platform extensions is a concern for platform providers, as the value of a platform is realized as the value of the system comprising platform and complements.
Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod move... more Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In literature, successful attempts have been made using acoustic emission-based condition monitoring to classify the seal wear. However, limited attempts have been made to implement automated approaches to classify seal wear using acoustic emission features. Therefore, this article presents an automated approach for rapid and computationally economical diagnosis of seal wear using acoustic emission. The experiments were performed at varying pressure conditions on a hydraulic test rig that can simulate fluid leakage conditions similar to that of hydraulic cylinders. From the acoustic emission spectrum, the frequency bands were identified with peak power and by heterodyning the signal. This technique results in 10X downsampling without losing t...
Abstract. Mashups are constructed within a complex ecosystem of data providers who offer open API... more Abstract. Mashups are constructed within a complex ecosystem of data providers who offer open APIs to users, users who combine APIs into mashups, and platforms like the ProgrammableWeb, or Mashape that facilitate the con struction and publication of mashups. In this paper, we argue that the evolution of the mashup ecosystem can be explained in terms of ecosystem niches an chored around hub or keystone APIs. To demonstrate the formation of niches in the mashup ecosystem, we model groups of related mashups as species, and re construct the evolution of mashup species through phylogenetic analysis.
Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers
IEEE/WIC/ACM International Conference on Web Intelligence
Humanitarian aid workers who try to provide aid to the most vulnerable populations in the Middle ... more Humanitarian aid workers who try to provide aid to the most vulnerable populations in the Middle East or Africa are risking their own lives and safety to help others. The current lack of a collaborative real-time information system to predict threats prevents responders and local partners from developing a shared understanding of potentially threatening situations, causing increased response times and leading to inadequate protection. To solve this problem, this paper presents a threat detection and decision support system that combines knowledge and information from a network of responders with automated and modular threat detection. The system consists of three parts. It first collects textual information, ranging from social media, and online news reports to reports and text messages from a decentralized network of humanitarian staff. Second, the system uses deep neural network techniques to automatically detects a threat or incident and provide information including location, threat category, and casualties. Third, given the type of threat and the information extracted by the NER, a feedforward network proposes a mitigation plan based on humanitarian standard operating procedures. The classified information is rapidly redistributed to potentially affected humanitarian workers at any level. The system testing results show a high precision of 0.91 and 0.98 as well as an F-measure of 0.87 and 0.88 in detecting the threats and decision support respectively. We thus combine the collaborative intelligence of a decentralized network of aid workers with the power of deep neural networks. CCS CONCEPTS • Computing methodologies → Neural networks.
Disasters and crisis create complex conditions that require intra-organizational and inter-organi... more Disasters and crisis create complex conditions that require intra-organizational and inter-organizational coordination throughout the duration of response operations. Emergency response plans and Incident Command Systems that are implemented at times of crisis are well defined on the intra-organizational level, following organization’s own hierarchy and resources. However, in reality, units of different organizations behave differently as they form sub-networks to carry out tasks involved in response operations, despite differences in operating protocols and training background. In this paper we introduce a novel approach to study crisis response networks: the emergence of coordination clusters. The results indicate resilience in the behavior of response units from different organizations as they re-organize into coordination clusters and collectively respond to the unfolding emergency events. Understanding characteristics of coordination clusters helps to identify critical tasks an...
Offshore oil drilling is a complex process that requires careful coordination of hardware and con... more Offshore oil drilling is a complex process that requires careful coordination of hardware and control systems. Fault monitoring systems play an important role in such systems for safe and profitable operations. Thus, predictive maintenance and monitoring operating conditions of drilling systems are critical to the overall production cycle. In this paper, we are addressing the topic of condition monitoring of a critical part in the process of oil drilling, the Internal Blowout Preventer (IBOP) system in the top drive assembly in offshore oil drilling. In our work, we aim to design an intelligent system for monitoring the health of IBOP system using discrete event systems (DES) based control method in combination with multivariate time series classification deep learning method. The proposed system comprises two stages: 1) produce IBOP system logical behaviour analysis using Hierarchical Colored Petri Nets (HCPN) approach; 2) develop an activity detection or a classifier module using ...
GPS-based solution for tracking and protecting humanitarians in conflict zones
The operational environment in which humanitarians operate is unstable and high-risk; when operat... more The operational environment in which humanitarians operate is unstable and high-risk; when operating in such environments, time becomes a critical factor. Thus, real-time location systems (RTLS) are often deployed in the operational environment to provide awareness of the location of personnel and assets in real-time that would support an informed decision making in the event of responding to emergency. Whilst standard RTLS are very precise, they are not suitable to outdoor spaces; GPS position technology can be used to identify the location of objects and people and to track them. In this paper, first, we present a description of threat scenarios identified based on information from existing security incidents datasets and from interviews with aid workers and security professionals operating in high-risk regions. Second, we describe the implementation of a GPS-based real-time location tracking and alert system for humanitarians operating in conflict zones that supports the identifi...
Despite all efforts like the introduction of new training methods and personal protective equipme... more Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the proposed scenarios. Third, to propose a research agenda and to discuss the role of Artificial Intelligence within it.
Welcome to the March 2015 issue of the Technology Innovation Management Review. The editorial the... more Welcome to the March 2015 issue of the Technology Innovation Management Review. The editorial theme of this issue is Innovation Tools and Techniques, and I am pleased to welcome our guest editors: Brendan Galbraith, Senior Lecturer at Ulster University Business School in Belfast, Northern Ireland, and Nadia Noori, EU Researcher at BES La Salle – Roman Llull University in Barcelona, Spain. I am also grateful to Bernhard Katzy, Founder and Director of the Center for Technology and Innovation Management (CeTIM) in Munich, Germany, who provided the spark and inspiration for this issue.
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
This paper presents an on-board system based using a monocular vision system, auxiliary sensors a... more This paper presents an on-board system based using a monocular vision system, auxiliary sensors and a visual SLAM method for real-time vehicle localization and tracking in natural outdoor environments. A monocular panamorph camera providing 360° panoramic views has been integrated with a gyro, compass and accelerometer to form a sensor system for installation on-board vehicles. A direct method was applied for detection and tracking of environment based on the images and combined with a calibration of the keypoints using the auxiliary sensors for providing an accurate trajectory to the vehicle. An-board computer is used to facilitate a standalone deployment onboard vehicle. The system was developed and designed as an integral component of a security monitoring and tracking system for humanitarian missions and convoys operating in regions with poor or absence of GPS signal coverage. Preliminary results show the applicability of the system with acceptable accuracy compared to GPS after...
Coordination Dynamics in Disaster Response Operations: A Network Based Discrete Event Analysis
La coordinacio es un factor important que afecta directament el resultat de les operacions de res... more La coordinacio es un factor important que afecta directament el resultat de les operacions de resposta en les xarxes de gestio d’emergencies. Marcs de treball i protocols de gestio de catastrofes estableixen una base per a la col·laboracio de l’organitzacio i coordinacio en el cas d’una crisi (provocada per l’home o per causes naturals). Existeixen marcs de treball de gestio d’emergencies que es basen en conceptes agafats de les practiques militars (i.e. comandament i control) i de les operacions organitzatives convencionals. Degut a la naturalesa complexa d’un desastre o d’una emergencia, l’enfocament actual esta fallant per a enfrontar-se a aquests alts nivells d’incertesa i a la intensa aparicio de canvis en el transcurs d’un desastre. En comptes de romandre bloquejats amb plans de resposta rigids, les organitzacions i els individus es gestionen per a enfrontar-se a la complexitat dels desastres mitjancant la formacio d’estructures en xarxa. Aquestes xarxes es formen en resposta ...
This thesis deals with the viability of methods of the network theory for mapping a complete prod... more This thesis deals with the viability of methods of the network theory for mapping a complete product development process (PDP). The aim is to maintain the information and data flow within a company despite the increasing complexity. As a representative PDP the FORFLOW-Process-Model is used, which is a generic process, developed in a cooperation of universities and the industry. Petri-Nets are used in order to simulate a dynamic process and they are treated as sub networks. These are integrated into the overall network, which in return is separated in three main layers.
Modeling the escalation/de-escalation of response operation levels in disaster response networks using hierarchical Colored Petri Nets (CPN) approach
In emergency situations, the first responders need to act promptly to situations, while the disas... more In emergency situations, the first responders need to act promptly to situations, while the disaster management authorities' response might not be at the same speed. Delays by disaster management authorities had a direct impact on response operations led response teams to the shift away from command and control structures to net-centric ones. This paper is part of a study to examine patterns of emerging organizational relations and coordination structures in disaster response operations. Understanding coordination patterns in disaster chaos can help to integrate those patterns in the planning and execution in the modern disaster management operations. We use dynamic modeling methods to analyze operations in conjunction with complex network analysis to study relationships among coordinating teams. Our model should help simulating different scenarios of cross-organizational collaboration in crisis events to measure effectiveness of response systems. The envisioned research outcome...
Application of Hierarchical Colored Petri Nets for Real-Time Condition Monitoring of Internal Blowout Prevention (IBOP) in Top Drive Assembly System
Offshore oil drilling is a complex process that requires a careful coordination of hardware and c... more Offshore oil drilling is a complex process that requires a careful coordination of hardware and control systems. Fault monitoring systems play an important role in such systems for safe and profitable operations. Thus, predictive maintenance and monitoring signs of changes in operating conditions of a machine are critical to the overall oil production cycle. In this paper we are addressing the topic of condition monitoring of a critical part in the process of oil drilling, the Internal Blowout Preventer (IBOP) system in the top drive assembly in offshore oil drilling. In our work we aim to design an intelligent system for monitoring the health of IBOP system based using multisensory data. The process comprises two steps: 1) produce IBOP system logical behavior analysis using Hierarchical Colored Petri Nets (HCPN) approach; 2) develop a pattern recognition Neural Networks system for activity monitoring and fault detection for the top drive assembly. HCPN allows simulation and graphic...
Simulation exercises as a training tool for enhancing preparedness for emergency response are wid... more Simulation exercises as a training tool for enhancing preparedness for emergency response are widely adopted in disaster management. This paper addresses current scenario design processes, proposes an alternative approach for simulation exercises and introduces a conceptual design of an adaptive scenario generator. Our work is based on a systematic literature review and observations made during TRIPLEX-2016 exercise in Farsund, Norway. The planning process and scenario selection of simulation exercises impact directly the effectiveness of intraand interorganizational cooperation. However, collective learning goals are rarely addressed and most simulations are focused on institution-specific learning goals. Current scenario design processes are often inflexible and begin from scratch for each exercise. In our approach, we address both individual and collective learning goals and the demand to develop scenarios on different layers of organizational learning. Further, we propose a scen...
The work presented in this paper is built on a series of experiments aiming to develop a data-dri... more The work presented in this paper is built on a series of experiments aiming to develop a data-driven and automated method for seal diagnostics using Acoustic Emission (AE) features. Seals in machineries operate in harsh conditions, and seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In this study, we implemented a data-driven diagnostics approach which utilizes AE measurements along with light weight Artificial Neural Networks (ANN) as a classifier to investigate the performance and resources (hardware & software) required for implementing a real-time soft sensor unit for monitoring seal wear condition. We used a feedforward multilayer perceptron ANN (Scaled Conjugate Gradient- SCG algorithm) that is trained with the back propagation algorithm, which is a popular network architecture for a ...
Managing the quality of platform complements: The case of extensions in open source software platforms
ABSTRACT High-technology industries have been witnessing the emergence of a product system where ... more ABSTRACT High-technology industries have been witnessing the emergence of a product system where core components (a platform) provided by a focal company and complements provided by external parties. To satisfy the increasing demands for new and customized features product, companies had to reach beyond their organizational boundaries to seek external sources of innovation. To align external innovation with their goals and protect the integrity their platform, companies need to take a more active role coordinating the flow of ideas and controlling the quality of innovation outcomes. This research focuses on exploring strategies followed by software platform owners to manage the quality of complements (such as plug-ins that extends the functionality of the platform) developed by external parties. The outcomes of the research contribute to our understanding of the strategies followed by platform owners to manage external innovation in the case of platform extensions in two areas: i) governance models, and ii) regulatory instruments.
Growth of the Mashup Ecosystem and Niche Formation
ABSTRACT Mashup development has been a showcase of user innovation. Mashups are constructed withi... more ABSTRACT Mashup development has been a showcase of user innovation. Mashups are constructed within an ecosystem of data providers who offer open APIs to users, users who combine these open APIs into applications (so-called mashups), and mashup platforms facilitating the construction and publication of mashups. In this paper, we are conducting a comparative analysis between the current status of the mashup ecosystem and a previous analysis reported by the authors in 2010. We 5nd that i) many of the observations previously made about the mashup ecosystem still hold, ii) the evolution of the mashup ecosystem can be explained in terms of ecosystem niches anchored around hub or keystone APIs, and iii) further understanding of the evolution of the mashup ecosystem can be gained by applying a lens of biological speciation.
In this paper we explore an issue that has not received sufficient attention by the research lite... more In this paper we explore an issue that has not received sufficient attention by the research literature, although it is of great practical importance. We examine the strategies followed by platform providers to manage the quality of platform complements developed by other parties. To keep the study to a manageable size, we limit our scope to software platforms and to one type of complement: platform extensions, which extend the functionality of a platform beyond its core capabilities. Quality management of platform extensions is a concern for platform providers, as the value of a platform is realized as the value of the system comprising platform and complements.
In this paper we explore an issue that has not received sufficient attention by the research lite... more In this paper we explore an issue that has not received sufficient attention by the research literature, although it is of great practical importance. We examine the strategies followed by platform providers to manage the quality of platform complements developed by other parties. To keep the study to a manageable size, we limit our scope to software platforms and to one type of complement: platform extensions, which extend the functionality of a platform beyond its core capabilities. Quality management of platform extensions is a concern for platform providers, as the value of a platform is realized as the value of the system comprising platform and complements.
Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod move... more Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In literature, successful attempts have been made using acoustic emission-based condition monitoring to classify the seal wear. However, limited attempts have been made to implement automated approaches to classify seal wear using acoustic emission features. Therefore, this article presents an automated approach for rapid and computationally economical diagnosis of seal wear using acoustic emission. The experiments were performed at varying pressure conditions on a hydraulic test rig that can simulate fluid leakage conditions similar to that of hydraulic cylinders. From the acoustic emission spectrum, the frequency bands were identified with peak power and by heterodyning the signal. This technique results in 10X downsampling without losing t...
Abstract. Mashups are constructed within a complex ecosystem of data providers who offer open API... more Abstract. Mashups are constructed within a complex ecosystem of data providers who offer open APIs to users, users who combine APIs into mashups, and platforms like the ProgrammableWeb, or Mashape that facilitate the con struction and publication of mashups. In this paper, we argue that the evolution of the mashup ecosystem can be explained in terms of ecosystem niches an chored around hub or keystone APIs. To demonstrate the formation of niches in the mashup ecosystem, we model groups of related mashups as species, and re construct the evolution of mashup species through phylogenetic analysis.
Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers
IEEE/WIC/ACM International Conference on Web Intelligence
Humanitarian aid workers who try to provide aid to the most vulnerable populations in the Middle ... more Humanitarian aid workers who try to provide aid to the most vulnerable populations in the Middle East or Africa are risking their own lives and safety to help others. The current lack of a collaborative real-time information system to predict threats prevents responders and local partners from developing a shared understanding of potentially threatening situations, causing increased response times and leading to inadequate protection. To solve this problem, this paper presents a threat detection and decision support system that combines knowledge and information from a network of responders with automated and modular threat detection. The system consists of three parts. It first collects textual information, ranging from social media, and online news reports to reports and text messages from a decentralized network of humanitarian staff. Second, the system uses deep neural network techniques to automatically detects a threat or incident and provide information including location, threat category, and casualties. Third, given the type of threat and the information extracted by the NER, a feedforward network proposes a mitigation plan based on humanitarian standard operating procedures. The classified information is rapidly redistributed to potentially affected humanitarian workers at any level. The system testing results show a high precision of 0.91 and 0.98 as well as an F-measure of 0.87 and 0.88 in detecting the threats and decision support respectively. We thus combine the collaborative intelligence of a decentralized network of aid workers with the power of deep neural networks. CCS CONCEPTS • Computing methodologies → Neural networks.
Disasters and crisis create complex conditions that require intra-organizational and inter-organi... more Disasters and crisis create complex conditions that require intra-organizational and inter-organizational coordination throughout the duration of response operations. Emergency response plans and Incident Command Systems that are implemented at times of crisis are well defined on the intra-organizational level, following organization’s own hierarchy and resources. However, in reality, units of different organizations behave differently as they form sub-networks to carry out tasks involved in response operations, despite differences in operating protocols and training background. In this paper we introduce a novel approach to study crisis response networks: the emergence of coordination clusters. The results indicate resilience in the behavior of response units from different organizations as they re-organize into coordination clusters and collectively respond to the unfolding emergency events. Understanding characteristics of coordination clusters helps to identify critical tasks an...
Offshore oil drilling is a complex process that requires careful coordination of hardware and con... more Offshore oil drilling is a complex process that requires careful coordination of hardware and control systems. Fault monitoring systems play an important role in such systems for safe and profitable operations. Thus, predictive maintenance and monitoring operating conditions of drilling systems are critical to the overall production cycle. In this paper, we are addressing the topic of condition monitoring of a critical part in the process of oil drilling, the Internal Blowout Preventer (IBOP) system in the top drive assembly in offshore oil drilling. In our work, we aim to design an intelligent system for monitoring the health of IBOP system using discrete event systems (DES) based control method in combination with multivariate time series classification deep learning method. The proposed system comprises two stages: 1) produce IBOP system logical behaviour analysis using Hierarchical Colored Petri Nets (HCPN) approach; 2) develop an activity detection or a classifier module using ...
GPS-based solution for tracking and protecting humanitarians in conflict zones
The operational environment in which humanitarians operate is unstable and high-risk; when operat... more The operational environment in which humanitarians operate is unstable and high-risk; when operating in such environments, time becomes a critical factor. Thus, real-time location systems (RTLS) are often deployed in the operational environment to provide awareness of the location of personnel and assets in real-time that would support an informed decision making in the event of responding to emergency. Whilst standard RTLS are very precise, they are not suitable to outdoor spaces; GPS position technology can be used to identify the location of objects and people and to track them. In this paper, first, we present a description of threat scenarios identified based on information from existing security incidents datasets and from interviews with aid workers and security professionals operating in high-risk regions. Second, we describe the implementation of a GPS-based real-time location tracking and alert system for humanitarians operating in conflict zones that supports the identifi...
Despite all efforts like the introduction of new training methods and personal protective equipme... more Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the proposed scenarios. Third, to propose a research agenda and to discuss the role of Artificial Intelligence within it.
Welcome to the March 2015 issue of the Technology Innovation Management Review. The editorial the... more Welcome to the March 2015 issue of the Technology Innovation Management Review. The editorial theme of this issue is Innovation Tools and Techniques, and I am pleased to welcome our guest editors: Brendan Galbraith, Senior Lecturer at Ulster University Business School in Belfast, Northern Ireland, and Nadia Noori, EU Researcher at BES La Salle – Roman Llull University in Barcelona, Spain. I am also grateful to Bernhard Katzy, Founder and Director of the Center for Technology and Innovation Management (CeTIM) in Munich, Germany, who provided the spark and inspiration for this issue.
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
This paper presents an on-board system based using a monocular vision system, auxiliary sensors a... more This paper presents an on-board system based using a monocular vision system, auxiliary sensors and a visual SLAM method for real-time vehicle localization and tracking in natural outdoor environments. A monocular panamorph camera providing 360° panoramic views has been integrated with a gyro, compass and accelerometer to form a sensor system for installation on-board vehicles. A direct method was applied for detection and tracking of environment based on the images and combined with a calibration of the keypoints using the auxiliary sensors for providing an accurate trajectory to the vehicle. An-board computer is used to facilitate a standalone deployment onboard vehicle. The system was developed and designed as an integral component of a security monitoring and tracking system for humanitarian missions and convoys operating in regions with poor or absence of GPS signal coverage. Preliminary results show the applicability of the system with acceptable accuracy compared to GPS after...
Coordination Dynamics in Disaster Response Operations: A Network Based Discrete Event Analysis
La coordinacio es un factor important que afecta directament el resultat de les operacions de res... more La coordinacio es un factor important que afecta directament el resultat de les operacions de resposta en les xarxes de gestio d’emergencies. Marcs de treball i protocols de gestio de catastrofes estableixen una base per a la col·laboracio de l’organitzacio i coordinacio en el cas d’una crisi (provocada per l’home o per causes naturals). Existeixen marcs de treball de gestio d’emergencies que es basen en conceptes agafats de les practiques militars (i.e. comandament i control) i de les operacions organitzatives convencionals. Degut a la naturalesa complexa d’un desastre o d’una emergencia, l’enfocament actual esta fallant per a enfrontar-se a aquests alts nivells d’incertesa i a la intensa aparicio de canvis en el transcurs d’un desastre. En comptes de romandre bloquejats amb plans de resposta rigids, les organitzacions i els individus es gestionen per a enfrontar-se a la complexitat dels desastres mitjancant la formacio d’estructures en xarxa. Aquestes xarxes es formen en resposta ...
This thesis deals with the viability of methods of the network theory for mapping a complete prod... more This thesis deals with the viability of methods of the network theory for mapping a complete product development process (PDP). The aim is to maintain the information and data flow within a company despite the increasing complexity. As a representative PDP the FORFLOW-Process-Model is used, which is a generic process, developed in a cooperation of universities and the industry. Petri-Nets are used in order to simulate a dynamic process and they are treated as sub networks. These are integrated into the overall network, which in return is separated in three main layers.
Modeling the escalation/de-escalation of response operation levels in disaster response networks using hierarchical Colored Petri Nets (CPN) approach
In emergency situations, the first responders need to act promptly to situations, while the disas... more In emergency situations, the first responders need to act promptly to situations, while the disaster management authorities' response might not be at the same speed. Delays by disaster management authorities had a direct impact on response operations led response teams to the shift away from command and control structures to net-centric ones. This paper is part of a study to examine patterns of emerging organizational relations and coordination structures in disaster response operations. Understanding coordination patterns in disaster chaos can help to integrate those patterns in the planning and execution in the modern disaster management operations. We use dynamic modeling methods to analyze operations in conjunction with complex network analysis to study relationships among coordinating teams. Our model should help simulating different scenarios of cross-organizational collaboration in crisis events to measure effectiveness of response systems. The envisioned research outcome...
Application of Hierarchical Colored Petri Nets for Real-Time Condition Monitoring of Internal Blowout Prevention (IBOP) in Top Drive Assembly System
Offshore oil drilling is a complex process that requires a careful coordination of hardware and c... more Offshore oil drilling is a complex process that requires a careful coordination of hardware and control systems. Fault monitoring systems play an important role in such systems for safe and profitable operations. Thus, predictive maintenance and monitoring signs of changes in operating conditions of a machine are critical to the overall oil production cycle. In this paper we are addressing the topic of condition monitoring of a critical part in the process of oil drilling, the Internal Blowout Preventer (IBOP) system in the top drive assembly in offshore oil drilling. In our work we aim to design an intelligent system for monitoring the health of IBOP system based using multisensory data. The process comprises two steps: 1) produce IBOP system logical behavior analysis using Hierarchical Colored Petri Nets (HCPN) approach; 2) develop a pattern recognition Neural Networks system for activity monitoring and fault detection for the top drive assembly. HCPN allows simulation and graphic...
Simulation exercises as a training tool for enhancing preparedness for emergency response are wid... more Simulation exercises as a training tool for enhancing preparedness for emergency response are widely adopted in disaster management. This paper addresses current scenario design processes, proposes an alternative approach for simulation exercises and introduces a conceptual design of an adaptive scenario generator. Our work is based on a systematic literature review and observations made during TRIPLEX-2016 exercise in Farsund, Norway. The planning process and scenario selection of simulation exercises impact directly the effectiveness of intraand interorganizational cooperation. However, collective learning goals are rarely addressed and most simulations are focused on institution-specific learning goals. Current scenario design processes are often inflexible and begin from scratch for each exercise. In our approach, we address both individual and collective learning goals and the demand to develop scenarios on different layers of organizational learning. Further, we propose a scen...
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