Coordination Logic Research Articles

Integrated Motion Control Strategy Considering Parameter Robustness for Distributed Vehicle by Wire

<div>To address the issues of functional conflicts in execution subsystems and the deterioration of control performance due to model parameter uncertainties in the motion control of distributed vehicle by wire, this article proposes an integrated control strategy considering parameter robustness. This strategy aims to compensate for model mismatch, resolve functional conflicts, and achieve motion coordination. Based on the over-actuation characteristics of distributed vehicle by wire, this article constructs the dynamic model and utilizes the tire cornering properties along with phase portraits to delineate the working regions of the execution subsystems. To deal with model parameter uncertainties and mismatch, tube-based model predictive control (tube-based MPC) is applied to the control strategy design, which compensates for model deviations through state feedback and constructs a robust positively invariant set (RPI) to constrain the system state. Correspondingly, the weights of control inputs are adjusted adaptively, according to the working regions, to optimize the coordination logic of integrated control. In order to verify the effectiveness and feasibility of the strategy, extreme driving condition tests are executed on hardware-in-the-loop (HIL) and real vehicle test platforms. The test results indicate that the strategy proposed in this article is able to reduce the sideslip angle and tracking error of yaw rate, improve driving stability under extreme conditions through integrated control, and especially, it can still maintain precise stability control performance under severe model mismatch, exhibiting strong robustness facing parameter uncertainties.</div>

Coordination versus organization: Diverging logics of firm cooperation in Denmark and Sweden

AbstractEmployers and their business associations have become increasingly important actors promoting market competition – even in once highly coordinated and regulated European economies. Based on a comparison of the Danish and Swedish telecommunications industries, we ask how differences in business association structures relate to the ways firms cooperate in competitive markets. In Denmark, fragmented, competing business associations encouraged a more unstable logic of coordination, with firms predominately focussed on pursuing particularistic interests in public policy lobbying and exit‐oriented strategies in employment relations. In contrast, the unified business association in Sweden encouraged a logic of organization, with firms predominately seeking collective good provision in public policy lobbying and engaging in mutual gains bargaining. Findings contribute to debates on the role of business associations in fostering firm cooperation and collective regulation.

Cartooning the Integration of Interorganizational Coordination Types

In this study, I analyze cartoons used to communicate to the public the integration of digital platforms with transport chains in port logistics. I argue that these two types of coordination carry competing logics, which explains the ambiguous visual representations of the future implementation of digital platforms in a major European port. In addition to intentional, convenient, and unintended affordances specific to cartoons, I identified three ambiguous trade-offs in the visual communications to the public. These trade-offs prevent incumbents to share the reliable real-time data required for the conception of a digital platform. Based on these findings, I argue that a disruptive suspension of the existing interorganizational coordination logic might be inevitable. This study contributes to discussions about unintentional coordination maintenance, the possibility of weaker incumbents to resist the will of more powerful incumbents, and the affordance of visual communication through cartoons.

Molecular logic of front-back coordination in moving neutrophils

Neutrophils leverage feedback between mechanical forces and biochemical signaling to guide their polarity and motility during immune surveillance. These cells move by establishing a single leading front which protrudes and a back that contracts and follows the front. We recently found that cell surface tension-based communication between actin protrusions (relayed by the PLD2/mTORC2 pathway) is responsible for long-range competition between protrusions for proper control of polarity and movement.

Synthesis of context‐aware business‐to‐business processes for location‐based services through choreographies

AbstractModern technologies and emerging wireless communication solutions in the Information and Communications Technology (ICT) world are empowering the spread of the most disparate ready‐to‐use software services distributed over the globe and accessed by an increasing number of users. This state of affairs encourages the development of systems based on the reuse of existing services through composition approaches, notably choreographies. Also Public Administrations are driven towards a digitalization process which exploits composition approaches to build complex and interoperable systems that can be remotely accessed by citizens and authorities. However, an automatic support is needed in order to realize the service composition and the distributed coordination logic that enforces the correct choreography realization. Moreover, the need for building dynamic and user‐centered systems calls for the realization of choreographies capable to adjust their behavior to the surrounding context. This work presents our proposal for addressing the choreography realization problem, by describing an automated process for the synthesis of choreography‐based systems. The synthesized systems are location‐aware and able to adapt the services' interaction according to the user's needs and context conditions. We show and evaluate our approach at work on a real use case scenario in the Public Administration domain.

Solar Photovoltaic Interfaced Quasi Impedance Source Network Based Static Compensator for Voltage and Frequency Control in the Wind Energy System

In this paper, the purpose of improving the power quality of the standalone wind conversion system (WECS) is to utilize a quasi-impedance (qZ) static compensator (STATCOM) integrated solar photovoltaic (SPV) source network. The standalone WECS has utilized the flywheel energy storage system (FESS) and the self-excited induction generator (SEIG). The SPV power generation network integrates with the STATCOM DC-Link to compensate for the voltage and frequency fluctuations over a longer time. The SEIG terminal voltage and STATCOM DC-link voltage are regulated using an enhanced second-order generalized integrator (ESOGI) with a fuzzy logic controller (FLC). The coordination logic is proposed in order to handle the various scenarios and make the device energy efficient. The unit is built for optimal usage of the electrical energy generated from renewable sources by utilizing physical energy storage systems such as flywheel and battery. In both batteries and flywheels, excess power from the SPV and wind turbines is collected. To verify the performance of the SPV supported STATCOM, the simulation and experimental studies are performed under specific load conditions. This paper describes an optimal way to produce and utilize green power with better energy efficiency. With various current conditions, the typical level of harmonic distortion of the source current is about 1.4% lower than that specified by IEEE Std. 519–2014 for the tolerable 5% level.

Interorgan communication in the control of metamorphosis.

Steroid hormones control major developmental transitions such as metamorphosis in insects and puberty in mammals. The juvenile must attain a sufficient size before it begins maturation in order to give rise to a properly sized and reproductively fit adult. Studies in the insect Drosophila have begun to reveal a remarkable example of the complex interplay between different organs and the neuroendocrine system that controls the production of the steroid ecdysone, which triggers metamorphosis. This review discusses the inter-organ signals mediating this crosstalk, which allows the neuroendocrine system to assess nutrient availability and growth status of internal organs, ensuring that maturation is initiated at the appropriate time. We discuss how the neuroendocrine system integrates signals from different tissues to coordinate growth and maturation. These studies are still unraveling the organ-to-organ signaling networks that control the timing of metamorphosis, defining important principles underlying the logic of growth and maturation coordination in animals.

Highly collaborative distributed systems: Synthesis and enactment at work

SummaryService choreographies support a distributed composition approach that is based on the specification of the external interaction of the participant services in terms of flows of message exchanges, given from a global perspective. When developing distributed service‐based applications, different services are produced by different teams; at the same time, such choreographies can also interact with third‐party services, hence leading to the reuse of black‐box services. Enforcing a global coordination logic across the many in‐house and third‐party services to correctly realize the specified choreography is a nontrivial endeavor. Automatic support is then desirable. In this article, we present an integrated development and run‐time environment for choreography‐based systems, which covers all the development activities, including specification, code synthesis, automatic deployment, enactment, and monitoring on the Cloud. We focus on providing a practical solution, that is, applicable by the community and considering technological standards used in the industry. We report the results of an experiment that we conducted with a use case in the in‐store marketing and sales domain. Results confirm confidence in the approach and show that the platform can be applied in practical contexts.

Mass smart detection for breast cancer diagnosis in mammographic images

Background: Breast cancer is one of the most common types of cancer among women. Mammography is the most standard method for diagnosing breast cancer, which can be minimize the human error using computer systems of human error. Methods: In this paper, using the image processing techniques, the mass was detected and identified in the photograph and then intelligent system outlined its margin After removing the image noise, using the fuzzy inference system, the fuzzy edge improvement has been applied and then using the coordinate logic filter, the mass areas have been detected and shown in the image. Results: The proposed smart system have p <0.001 for the correct diagnosis compared to the human diagnostic methods. Conclusion: The smart system results have been tested on 322 MIAS database images. In this database, 120 cases have benign and malignant tumors and 202 are healthy. The smart system was able to detect 115 cancer cases (true positive) and 190 healthy people (true negative) correctly. The number of false positive and false negative are 12 and 5, respectively. Therefore, the accuracy of the smart system for the database is 95%, and the sensitivity and specificity are 96% and 94%, respectively.

Strengths, assets and place – The emergence of Local Area Coordination initiatives in England and Wales

Summary Local Area Coordination is an approach that emerged during the 1980s and 1990s to support individuals with learning disabilities in rural and metropolitan Western Australia. Offering direct family support, signposting and networking it aimed to improve access to services and promote social inclusion. It leveraged community resources and sought broader transformation through local collaborations and service redesign, as underpinned by a strengths-based philosophy. Scotland introduced a similar model of delivery from the early 2000s for learning disability support. Since 2010, a number of English and Welsh Local Authorities have introduced Local Area Coordination, and in doing so have expanded its support eligibility criteria to include those considered ‘vulnerable’ due to age, frailty, disability, mental health issues and housing precariousness. Findings This article provides the first review of developments in England and Wales. Drawing upon published evaluation studies it reflects on Local Area Coordination implementation; reviews the existing evidence base and challenges surrounding data collection; and discusses the competing logic of Local Area Coordination in its aim of supporting individual and community improvement of health outcomes and well-being, and of furthering local government civic engagement and participation. Applications This article points to the challenges and opportunities of implementing such a strength-, assets- and placed-based initiatives within Local Authority social service settings. Embedding Local Area Coordination within Local Authority settings requires skilled political and policy leadership. It balances emerging individual outcomes – health and well-being – with the civic mission (values, control and coproduction), and avoids one being subverted to the other.

How does the governance of the executive branch operate in democratic Brazil? An analysis of the Center of Government

ABSTRACT Introduction: This paper aims to analyze how the Center of Government (CoG) operates as units responsible for conducting the presidential agenda in contemporary Brazil. Materials and Methods: The study applied the theoretical approach of CoG as a governance arrangement and used qualitative and quantitative data to reach its objective. Besides the bibliographic review on the literature and official documents, the study synthesizes and deepens empirical data and information from a joint research project covering the period of political stability in Brazil, from 1995 to 2014, when elected presidents ended their terms. Results: The empirical findings confirm that CoG is a flexible and dynamic phenomenon. It puts a critical perspective on the normative “good governance” approach that overvalues its technical dimension and neglects its political aspect. Discussion: The inquiry results shed light on the importance of the relation between politics and policy, by demonstrating that CoG’s configuration and functions vary due to multiple causes, each president’s priority policy agenda is implemented with different strategies and; the prioritized policies follow a unique coordination logic inside the Brazilian federal government.

Context-aware parallel handover optimization in heterogeneous wireless networks

The key idea of this paper is to a use cross-layer triggering concept in order to control the vertical handover (VHO) in heterogeneous networks. Current mobility management protocols could not handle the ever-growing quality of service (QoS) demand for connected mobile nodes (MNs). Motivated by addressed challenging problems, the proposed multi-layer parallel handover optimization (MPHO) is capable of handling application awareness in its decision process. Each layer in the protocol stack implements its own decision mechanisms in response to environmental changes. Independent decisions may lead to un-optimal operation while reacting to the same event. MPHO coordinates triggered actions using a centralized controller. MPHO utilizes dynamic attributes to reduce HO latencies and signaling overheads with a more advanced coordination logic. It contains a prediction module that utilizes MN mobility patterns. Evaluation results validate the achieved enhancements with a smaller HO failure rate and increased throughput. MPHO achieves improvements in terms of perceived quality and delay constraints.

Digging deep into the enterprise innovation ecosystem

PurposeThe purpose of this paper is to explore how Chinese enterprises overcome their lack of resource and capabilities and eventually fulfill global resource accumulation, fast innovative commercialization and significant technological breakthrough by establishing and coordinating innovation ecosystem at firm level.Design/methodology/approachThis paper first reviewed the literature on the structure and coordinating mechanism of enterprise innovation ecosystem and identified two important gaps on the characteristics of ecosystem actors and the logic of innovative coordination. Then, the paper adopted grounded analysis about the construction and evolution of Haier’s innovation ecosystem based on longitudinal case data. On the basis of the case study, the construct of firm-level innovation ecosystem and new logic of coordination are formed.FindingsThis paper found the emerging phenomenon of sub-organizational ecosystem actors and depicted that the establishing process of firm-level innovation ecosystem went through three majors stages, and the corresponding coordinating logic changed from proactive intervention to reactive self-evolution.Originality/valueThis paper tried to make contributions to the studies of structure and coordinating mechanism of enterprise innovation ecosystem, and proposed the enterprise itself could build firm-level ecosystem within its organizational boundary and interact with external ecosystem. The findings enlightened the nested structure of ecosystem, opened the black box of organizational boundary and broke the limitation that existing researches only analyse innovation ecosystem at system level and regard firms as basic analytical unit. Besides, this paper proposed that the coordination of innovation ecosystem can be passively fulfilled by network effect and ecological evolution, where previous studies mainly focused on proactive institutional intervention and resource investment. This point could provide Chinese enterprises with good references.

Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search

Recent miniaturization in Unmanned Aerial Vehicles (UAVs) technology encourages the use of many small UAVs for search missions in unknown environments, provided that the autonomous and adaptive coordination logic can be effective. In this research field, biologically inspired metaheuristics have been proposed to mimics swarms, flocks, and other coordination schemas. The design and management of such systems is a research challenge when considering (i) combination and optimization of multiple metaheuristics and (ii) enhancements of biologically inspired metaheuristic through technological advances. In this paper the swarm coordination of UAVs employed in target search is based on flocking and stigmergy, to provide robust formation control and dynamic environmental information sharing, respectively. The design of both metaheuristics takes into account UAVs equipment, and the coordination logic is adapted to the mission by means of a differential evolutionary algorithm. This algorithm optimizes the aggregated structural parameters of all metaheuristics to allow the most efficient coordination with respect to the mission environment. Some possible enhancements of stigmergy are studied by simulating target search tasks on synthetic and real-world scenarios.

Process Coordination with Business Artifacts and Multiagent Technologies

This work is set in the context of data-centric approaches and is motivated by the observation that business artifacts are not devised as natural means of coordination, despite the fact that they have this potential. Instead of using orchestration and choreography languages, we propose to enrich business artifacts with a normative layer that defines the coordination, basing our approach on social commitments. The straightforward advantage is an increased reusability of both processes and business artifacts, thanks to a clear decoupling between the coordination logic and the business logic. We show how social commitments can be leveraged for modularizing the design of distributed tasks and discuss the advantages of the approach from a software engineering perspective.

Performance evaluation of IEEE 802.16 real time polling and unsolicited grant service scheduling for protecting transmission and sub-transmission systems with multi-terminals

One of the major challenges faced by future energy transmission grids is the issue of how to integrate intermittent renewable energy generation. The other problem is how the transmission and sub-transmission systems with multi-terminals are integrated in one grid. Tapping a line is an economical solution to avoid building new stations, but that creates its own operational and protection challenges. The above limitations are future challenges for the protection of modern power systems. In this paper significant emphasis is placed on the communication part, and the theory and benefits of new protection techniques applied to the power systems are clearly indicated. The wireless “WiMAX” based protection “W-Protection” is a new concept for protecting multi-zones as one unit zone using coordination logic. The W-Protection produces new protection solution to properly identify the faulted zone using the wireless networks such as the IEEE 802.16 based WiMAX technology. The IEDs communication traffic requirements and the application models that map them over the real time polling service (rtPS) and unsolicited grant service (UGS) scheduling services of the IEEE 802.16 standard are extensively studied. The communication between IEDs and the Master Protection Center “MPC” using UGS and rtPS-QoS scheduling service available in WiMAX is also discussed. A discrete event model using OPNET simulation package is used for evaluating the performance of rtPS and USG scheduling services in case of latency. The initial results indicated that IEEE 802.16 network can meet the delay requirement of protection applications.

The Effects of Communication Networks and Turnover on Transactive Memory and Group Performance

We theorize that the effect of membership turnover on group processes and performance depends on a group’s communication network. We describe two mechanisms through which communication networks affect group performance: (1) the number of direct communication paths and (2) the clarity of the coordination logic. These mechanisms map onto two network dimensions: density, which affects a group’s behavior through the number of available communication paths, and centralization, which affects a group’s behavior through the clarity of the coordination logic. We empirically analyze the effects of turnover on the performance of fully connected all-channel networks and hub-and-spoke or wheel networks in an experiment of 109 four-person groups performing two collaborative problem-solving tasks. The greater number of direct communication paths enabled fully connected groups with stable membership to develop stronger transactive memory systems (TMSs) and perform better than fully connected groups that experienced turnover. By contrast, the clear coordination logic of perfectly centralized groups that experienced turnover facilitated more frequent dyadic communication, which enabled them to strengthen their TMSs, incorporate the contributions of new members, and improve their performance. Thus, our results indicate that communication networks condition the effect of membership turnover on group processes and performance. The online appendix is available at https://doi.org/10.1287/orsc.2017.1176 .

Microcalcifications Detection Using Image Processing

Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as masses and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for women’s quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. In this work, an effective methodology to detect microcalcifications in digitized mammograms is presented. This methodology is based on the synergy of image processing, pattern recognition and artificial intelligence. The methodology consists in four stages: image selection, image enhancement and feature extraction based on mathematical morphology operations applying coordinate logic filters, image segmentation based on partitional clustering methods such as k-means and self organizing maps and finally a classifier such as an artificial metaplasticity multilayer perceptron. The proposed system constitutes a promising approach for the detection of Microcalcifications. The experimental results show that the proposed methodology can locate Microcalcifications in an efficient way. The best values obtained in the experimental results are: accuracy 99.93% and specificity 99.95%, These results are very competitive with those reported in the state of the art.

Using Simulation for Scheduling and Rescheduling of Batch Processes

The problem of scheduling multiproduct and multipurpose batch processes has been studied for more than 30 years using math programming and heuristics. In most formulations, the manufacturing recipes are represented by simplified models using state task network (STN) or resource task network (RTN), transfers of materials are assumed to be instantaneous, constraints due to shared utilities are often ignored, and scheduling horizons are kept small due to the limits on the problem size that can be handled by the solvers. These limitations often result in schedules that are not actionable. A simulation model, on the other hand, can represent a manufacturing recipe to the smallest level of detail. In addition, a simulator can provide a variety of built-in capabilities that model the assignment decisions, coordination logic and plant operation rules. The simulation based schedules are more realistic, verifiable, easy to adapt for changing plant conditions and can be generated in a short period of time. An easy-to-use simulator based framework can be developed to support scheduling decisions made by operations personnel. In this paper, first the complexities of batch recipes and operations are discussed, followed by examples of using the BATCHES simulator for off-line scheduling studies and for day-to-day scheduling.

Choreography Realizability Enforcement through the Automatic Synthesis of Distributed Coordination Delegates

In the near future we will be surrounded by a virtually infinite number of software applications that provide services in the digital space. This situation promotes reuse-based software production through composition of existing software services distributed over the Internet. Choreographies are a form of decentralized composition that model the external interaction of the participant services by specifying peer-to-peer message exchanges from a global perspective. When third-party (possibly black-box) services are to be composed, obtaining the distributed coordination logic required to enforce the realizability of the specified choreography is a non-trivial and error prone task. Automatic support is then needed. In this paper, we propose a formal approach to the enforcement of choreography realizability through the automatic synthesis of distributed Coordination Delegates (CDs). CDs are additional software entities with respect to the choreography participants. They are synthesized in order to proxify and control the participant services interaction. When interposed among the services, the synthesized entities enforce the collaboration prescribed by the choreography specification. We state correctness of our synthesis method and illustrate its formalization at work on an explanatory example. • A method for the automatic realizability enforcement of service choreographies. • The method accounts for services communicating synchronously and/or asynchronously. • Coordination Delegates are synthesized to mediate the services' interaction. • The method is rigorously assessed and the proof of its correctness is also given. • The method underlies the R&D work of the EU H2020 CHOReVOLUTION project.