The research examined the role of media in promoting peace and conflict resolution in North Kivu,Democratic Republic of Congo.The security situation in the Democratic Republic of the Congo(DRC),particularly in the eas...The research examined the role of media in promoting peace and conflict resolution in North Kivu,Democratic Republic of Congo.The security situation in the Democratic Republic of the Congo(DRC),particularly in the eastern region of North Kivu,has been deteriorating.The study was anchored in social identity theory.The research methodology employed for this study was qualitative,focusing on the analysis of Mr.Edgar Mateso’s contributions to Radio Okapi’s“Dialogue entre Congolais”program during the period from 2019 to 2023.The research was conducted within the broader context of the persistent war and conflict in the Democratic Republic of Congo,providing valuable insights into the dynamics and challenges of addressing the ongoing insecurity and violence in the region.The study found that media,exemplified by Radio Okapi,plays a multifaceted and significant role in promoting peace and conflict resolution in North Kivu,Democratic Republic of Congo(DRC).It serves as a critical source of accurate information,enabling informed decision-making regarding ceasefire agreements,peace talks,and humanitarian aid.Media fosters dialogue and understanding among different stakeholders,contributing to reconciliation efforts.Additionally,it raises awareness about the human cost of the conflict,challenges misinformation,monitors peace agreements,amplifies the concerns of the affected population,and promotes human rights and justice.Media also engages youth,serves as an early warning system,and attracts global attention to the conflict.It is recommended that media organizations in North Kivu continue their efforts to facilitate dialogue and understanding among different stakeholder groups.Additionally,media should maintain its focus on raising awareness about the human cost of the conflict,ensuring that the suffering of civilians remains in the spotlight and generates international empathy and support.Media outlets should also continue their role as watchdogs by closely monitoring the implementation of ceasefire agreements and reporting any violations transparently.To strengthen media’s role in promoting peace,there should be continued advocacy for peace through dedicated radio programs,news reports,and editorial content.Internationally,media should continue to provide comprehensive coverage of the conflict in North Kivu,attracting global attention and shaping the perception of the conflict on the global stage.Lastly,media organizations should preserve a lasting legacy of peace by archiving peace-related content,documentaries,and narratives of reconciliation.展开更多
A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration ( Ⅶ) system to prevent vehicle accident beforehand at blind crossing. After analyzing traffic ...A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration ( Ⅶ) system to prevent vehicle accident beforehand at blind crossing. After analyzing traffic conflict characteristics and vehicle collision scenarios at intersection,a vehicle dynamics model and an intervehicle communication method are discussed. In the inter-vehicle communication environment,the relative relationship between two encountered vehicles are designed. Then vehicle conflict detection and resolution algorithms under two conflict scenarios are put forward to represent the conflict-free movements of vehicles with adjusting vehicle velocity at crossing. Finally,simulation studies are carried out and the results prove that the proposed algorithms are effective for vehicle conflict resolution at blind crossing.展开更多
Knowledge graph(KG)conflict resolution is to solve knowledge conflicts problem in the construction of KG.Aiming at the problem of KG conflict resolution,a KG conflict resolution algorithm NGDcrm is proposed,which is a...Knowledge graph(KG)conflict resolution is to solve knowledge conflicts problem in the construction of KG.Aiming at the problem of KG conflict resolution,a KG conflict resolution algorithm NGDcrm is proposed,which is a numeric graph dependency-based conflict resolution method.NGDcrm utilizes the dependency graph to perform arithmetic calculation and predicate comparison of numerical entity knowledge in the KG.NGDcrm first uses a parallel segmentation method to segment the KG;then,it extracts the features of the KG according to KG embedding;finally,it uses numerical graph dependencies to detect and correct the wrong facts in the KG based on the extracted features.The experimental results on real data show that NGDcrm is better than the state-of-the-art knowledge conflict resolution method.Among them,the AUC value of NGDcrm on the DBpedia dataset is 15.4%higher than the state-of-the-art method.展开更多
The multi-UAV adversary swarm defense(MUASD)problem is to defend a static base against an adversary UAV swarm by a defensive UAV swarm.Decomposing the problem into task assignment and low-level interception strategies...The multi-UAV adversary swarm defense(MUASD)problem is to defend a static base against an adversary UAV swarm by a defensive UAV swarm.Decomposing the problem into task assignment and low-level interception strategies is a widely used approach.Learning-based approaches for task assignment are a promising direction.Existing studies on learning-based methods generally assume decentralized decision-making architecture,which is not beneficial for conflict resolution.In contrast,centralized decision-making architecture is beneficial for conflict resolution while it is often detrimental to scalability.To achieve scalability and conflict resolution simultaneously,inspired by a self-attention-based task assignment method for sensor target coverage problem,a scalable centralized assignment method based on self-attention mechanism together with a defender-attacker pairwise observation preprocessing(DAP-SelfAtt)is proposed.Then,an imperative-priori conflict resolution(IPCR)mechanism is proposed to achieve conflict-free assignment.Further,the IPCR mechanism is parallelized to enable efficient training.To validate the algorithm,a variant of proximal policy optimization algorithm(PPO)is employed for training in scenarios of various scales.The experimental results show that the proposed algorithm not only achieves conflict-free task assignment but also maintains scalability,and significantly improve the success rate of defense.展开更多
DCR-OL is a Distributed Collaborative Reasoning multi-agent model with an Online Learning thataims to identify human activities in smart homes from distributed, heterogeneous and dynamicsensor data. In this model, dis...DCR-OL is a Distributed Collaborative Reasoning multi-agent model with an Online Learning thataims to identify human activities in smart homes from distributed, heterogeneous and dynamicsensor data. In this model, distributed learning agents with diverse classifiers, detect sensorstream data, make local predictions, communicate and collaborate to identify current activities.Then, they learn from their collaborations to improve their own performance in activity recognition.Conflict resolution strategies are applied to generate one final predicted activity when thelocal predicted activity of an agent is different from received predicted activities of other agents.In this paper, two conflict resolution strategies using online learning, w-max-trust and w-maxfreq,are proposed. We experimentally test these strategies by performing an evaluation studyon the Aruba dataset. The obtained results indicate an enhancement in terms of accuracy and Fmeasuremetrics compared to the offline strategies max-trust and max-freq and also to the onlineexisting one max-wPerf .展开更多
Unmanned aerial vehicles(UAVs)have gained much attention from academic and industrial areas due to the significant number of potential applications in urban airspace.A traffic management system for these UAVs is neede...Unmanned aerial vehicles(UAVs)have gained much attention from academic and industrial areas due to the significant number of potential applications in urban airspace.A traffic management system for these UAVs is needed to manage this future traffic.Tactical conflict resolution for unmanned aerial systems(UASs)is an essential piece of the puzzle for the future UAS Traffic Management(UTM),especially in very low-level(VLL)urban airspace.Unlike conflict resolution in higher altitude airspace,the dense high-rise buildings are an essential source of potential conflict to be considered in VLL urban airspace.In this paper,we propose an attention-based deep reinforcement learning approach to solve the tactical conflict resolution problem.Specifically,we formulate this task as a sequential decision-making problem using Markov Decision Process(MDP).The double deep Q network(DDQN)framework is used as a learning framework for the host drone to learn to output conflict-free maneuvers at each time step.We use the attention mechanism to model the individual neighbor's effect on the host drone,endowing the learned conflict resolution policy to be adapted to an arbitrary number of neighboring drones.Lastly,we build a simulation environment with various scenarios covering different types of encounters to evaluate the proposed approach.The simulation results demonstrate that our proposed algorithm provides a reliable solution to minimize secondary conflict counts compared to learning and non-learning-based approaches under different traffic density scenarios.展开更多
A novel two-level hierarchical graph model is developed to analyze international climate change negotiations with hierarchical structures:the negotiations take place between two nations and between each nation and its...A novel two-level hierarchical graph model is developed to analyze international climate change negotiations with hierarchical structures:the negotiations take place between two nations and between each nation and its provincial governments.The two national government are two decision makers at the top level.Within each nation,the two provincial governments negotiate with the national government at the lower level.The theoretical structure of this novel model,including decision makers,options,moves,and preference relations,are developed.The interrelationship between the stabilities in the two-level hierarchical graph model and the stabilities in local models are investigated by theorems.These theorems can be utilized to calculate complete stabilities in the two-level hierarchical graph model when the stabilities in local graph models are known.The international climate change negotiations as the illustrative example is then investigated in detail.The extra equilibrium,uniquely obtained by this novel methodology,suggests that opposition may still be from one provincial government when the national government does not sign the international climate agreement and implements existing environmental laws.Compared with other approaches,this novel methodology is an effective and flexible tool in analyzing hierarchical conflicts at two levels by providing decision makers with strategic resolutions with broader vision.展开更多
First, the concept of cooperative conflict is presented, and the characteristic of cooperative air combat is researched. Then, four methods of conflict resolution are designed by way of the first order predicate logic...First, the concept of cooperative conflict is presented, and the characteristic of cooperative air combat is researched. Then, four methods of conflict resolution are designed by way of the first order predicate logic, i.e. , link up, coordination, accommodation and integration, and corresponding examples are given. A 2 vs 2 air combat simulation was carried out; after conflict resolution, the loss ratio is dropped to 0.54 from the original 1.32, so the enhancement of effectiveness is notable. The present research findings are that the wide conflicts discover the essence of multi fighter cooperation, i.e. , to as fully as possible enhance the effectiveness of each fighter to attain global optimization, and that the possibility of conflict resolution shows the application prospect. The proposed method in this paper is a helpful try to the application of the Fifth Generation Computer in the new generation of C 3I system.展开更多
To address the driving conflicts of connected automated vehicles(CAVs)at unsignalized roundabouts,a cooperative decision-making framework is proposed.The personalized driving preferences of CAVs are considered in the ...To address the driving conflicts of connected automated vehicles(CAVs)at unsignalized roundabouts,a cooperative decision-making framework is proposed.The personalized driving preferences of CAVs are considered in the decision-making algorithm,which are reflected by different driving styles.A motion prediction algorithm is used to improve the decision-making performance.The effect of the motion prediction algorithm on the decisionmaking performance is evaluated,including the advancement of driving safety and the computational load for the hardware.The cooperative game theoretic approach is applied to the interaction modelling and collaborative decision making of CAVs.Finally,hardware-in-the-loop(HIL)tests are carried out to evaluate the feasibility and real-time performance of the proposed algorithm.展开更多
The Middle East has been in a state of turbulence,poor governance and inadequate development for a long time.The Gulf remains stable,although it is caught up in various regional disputes.It is a major task for both th...The Middle East has been in a state of turbulence,poor governance and inadequate development for a long time.The Gulf remains stable,although it is caught up in various regional disputes.It is a major task for both the international community and regional countries to consider how to effectively resolve these conflicts,promote regional governance and eventually achieve the long-term stability of the Gulf and the entire Middle East.China,with its commitment to peace,development and cooperation,is cautiously participating in reforming the Middle Eastern governance system.It is devoted to building a new type of international relations and a community with a shared future of humankind,albeit in a prudent manner;it highlights being an important promoter of peace,stability and industrialisation in the Middle East;it also engages in peace talks and conflict resolution in an incremental manner.China is putting the concept of peaceful development and mutual benefits into practice and helps the Middle East to embark on a new road of comprehensive reform,but so far it lacks specific scenarios and concrete roadmaps for peace in the Gulf.It also stresses interconnectivity and amity via interaction,but the Gulf conflict resolutions still have a long way to go.This paper explores Chinese principles in resolving regional conflicts from the aspects of history,politics,development,security and civilisation,and forecasts what hurdles China may face on the road to playing a bigger role.展开更多
Land use conflicts are complex disputes that contribute at large in terms of negative social and economic impacts within the heterogeneous societies.The mechanisms of success for land use conflict resolution still nee...Land use conflicts are complex disputes that contribute at large in terms of negative social and economic impacts within the heterogeneous societies.The mechanisms of success for land use conflict resolution still need further research because of various mindsets of the people.In this paper,the issues of land conflicts between farmers and pastoralists in Tanzania mainland which could lead to low economic development are reviewed and the general causes and effects of land use conflicts are outlined.Poor land governance,inappropriate of land use plans,inadequate land policies,land tenure insecurity,corruption and population increases are cited as being among of the main offenders fuelling land use conflicts in Tanzania.展开更多
Due to its flexibility and complementarity, the multiUAVs system is well adapted to complex and cramped workspaces, with great application potential in the search and rescue(SAR) and indoor goods delivery fields. Howe...Due to its flexibility and complementarity, the multiUAVs system is well adapted to complex and cramped workspaces, with great application potential in the search and rescue(SAR) and indoor goods delivery fields. However, safe and effective path planning of multiple unmanned aerial vehicles(UAVs)in the cramped environment is always challenging: conflicts with each other are frequent because of high-density flight paths, collision probability increases because of space constraints, and the search space increases significantly, including time scale, 3D scale and model scale. Thus, this paper proposes a hierarchical collaborative planning framework with a conflict avoidance module at the high level and a path generation module at the low level. The enhanced conflict-base search(ECBS) in our framework is improved to handle the conflicts in the global path planning and avoid the occurrence of local deadlock. And both the collision and kinematic models of UAVs are considered to improve path smoothness and flight safety. Moreover, we specifically designed and published the cramped environment test set containing various unique obstacles to evaluating our framework performance thoroughly. Experiments are carried out relying on Rviz, with multiple flight missions: random, opposite, and staggered, which showed that the proposed method can generate smooth cooperative paths without conflict for at least 60 UAVs in a few minutes.The benchmark and source code are released in https://github.com/inin-xingtian/multi-UAVs-path-planner.展开更多
Based on the option prioritization in graph model for conflict resolution of two decision makers(DMs),new logical and matrix representations of four stability concepts for DMs′attitude are proposed.The logical repres...Based on the option prioritization in graph model for conflict resolution of two decision makers(DMs),new logical and matrix representations of four stability concepts for DMs′attitude are proposed.The logical representation of attitude is defined,and converted to the matrix form in order to develop a decision support system(DSS)efficiently.Compared with existing definitions of DMs′attitude based on states,the proposed definitions of attitude based on options are convenient and more effective to generate preferences since that of states can be significantly larger than that of options in a large conflict.In addition,it is easier to obtain the information of the prioritization of option statements than to obtain preference of states for users.The proposed representations are applied to the process conflict during aircraft manufacturing to demonstrate the efficiency of the new approach.展开更多
With the rapid growth of flight flow,the workload of controllers is increasing daily,and handling flight conflicts is the main workload.Therefore,it is necessary to provide more efficient conflict resolution decision-...With the rapid growth of flight flow,the workload of controllers is increasing daily,and handling flight conflicts is the main workload.Therefore,it is necessary to provide more efficient conflict resolution decision-making support for controllers.Due to the limitations of existing methods,they have not been widely used.In this paper,a Deep Reinforcement Learning(DRL)algorithm is proposed to resolve multi-aircraft flight conflict with high solving efficiency.First,the characteristics of multi-aircraft flight conflict problem are analyzed and the problem is modeled based on Markov decision process.Thus,the Independent Deep Q Network(IDQN)algorithm is used to solve the model.Simultaneously,a’downward-compatible’framework that supports dynamic expansion of the number of conflicting aircraft is designed.The model ultimately shows convergence through adequate training.Finally,the test conflict scenarios and indicators were used to verify the validity.In 700 scenarios,85.71%of conflicts were successfully resolved,and 71.51%of aircraft can reach destinations within 150 s around original arrival times.By contrast,conflict resolution algorithm based on DRL has great advantages in solution speed.The method proposed offers the possibility of decision-making support for controllers and reduce workload of controllers in future high-density airspace environment.展开更多
The development of product is a complex process. Collaboration is necessary to this process to support multi-function teams’ participation in this process at the same time. Effective task decomposition is the prerequ...The development of product is a complex process. Collaboration is necessary to this process to support multi-function teams’ participation in this process at the same time. Effective task decomposition is the prerequisite of collaborative design and constraint network was used to express the relationship among design participants. In order to make the coupling collaborative design go smoothly, a constraint satisfaction model based on dynamic constraint is put forward. An integrated-based conflict resolution model is advanced to resolve the complex conflict during the process of collaborative design.展开更多
Truly opposite is defined by identity of units with complementary anatomy or structure to form a pair,e.g.male and female.Complementary or corresponding structure or form permits reciprocal function of these units or...Truly opposite is defined by identity of units with complementary anatomy or structure to form a pair,e.g.male and female.Complementary or corresponding structure or form permits reciprocal function of these units or“opposites”.Focus on“Identity”or“function”determines one’s view as to whether these units are“opposites”or“complementary”.“Identity”is unique&exclusive,whereas,function requires inclusivity,specificity&reciprocal interaction,contributed to by both units to form a dynamic partnership or pair.Contextual interaction matters as it permits an inclusive view.Inclusion&awareness of surroundings that impact on relationships and/or personal interaction is represented here by a surrounding circle or sense of purpose and represents the extension of immediate context involving both units in a paired relationship of structural complementary units within their encompassing surroundings or contextual field.Contextual reference is the ethical key to understanding situations&circumstance so serves as the key to ethics,morality&relationships.The Relationship Equation,E=1=m.c-1,provides a simple model of understanding usually viewed as complex relationships.It offers an approach to solving identity issues by viewing these as complementary and functional rather than as opposites.In place of identity as the focus it introduces context and reciprocal interaction of complementary units of a pair.Identity as part of a whole transfers the focus from self to other or both and to an awareness of higher purpose in the Oneness of function of Creation as(m.c-1)=E=1.Environmental influence is taken into account by viewing the Eco-social environment or Eco-society as important.Impact of environment on one or other unit in a pair or on both&vice versa affects relationships.Resilience&adaptation to environmental change leads to evolution when the pair thrives better in this new Eco-social environment.Being part of a functional whole,as a functional unit or as a functioning pair,adds purpose and reason for the Creation,all of Creation,including self,as one is included in all!Application of the Relationship Equation is relevant to health&wellbeing,parenting,biology,law&health law,political science,society&evolution.It is also valuable when utilized as a resolution tool as it offers functional outcomes and sense of purpose on the basis of objectivity,trust and truth to overcome conflict arising from a highly sensitized identity-oriented focus.Contextual&reciprocal units in functional pairs replace self as the basic functional principle of the whole of existence.Application of this understanding has preventive as well as therapeutic relevance.It may be used as a guide in upbringing,parenting and child care as well as conflict resolution in personal,social&political scenarios locally,nationally,internationally,globally&universally.It is the“happinewness”key.展开更多
In an effort to maintain safety while satisfying growing air traffic demand,air navigation service providers are considering the inclusion of advisory systems to identify potential conflicts and propose resolution com...In an effort to maintain safety while satisfying growing air traffic demand,air navigation service providers are considering the inclusion of advisory systems to identify potential conflicts and propose resolution commands for the air traffic controller to verify and issue to aircraft.To understand the potential workload implications of introducing advisory conflict-detection and resolution tools,this paper examines a metric of controller taskload:how many resolution commands an air traffic controller issues under the guidance of an advisory system.Through a simulation study,the research presented here evaluates how the underlying protocol of a conflict-resolution tool affects the controller taskload(system demands)associated with the conflict-resolution process,and implicitly the controller workload(physical and psychological demands).Ultimately,evidence indicates that there is significant flexibility in the design of conflict-resolution algorithms supporting an advisory system.展开更多
文摘The research examined the role of media in promoting peace and conflict resolution in North Kivu,Democratic Republic of Congo.The security situation in the Democratic Republic of the Congo(DRC),particularly in the eastern region of North Kivu,has been deteriorating.The study was anchored in social identity theory.The research methodology employed for this study was qualitative,focusing on the analysis of Mr.Edgar Mateso’s contributions to Radio Okapi’s“Dialogue entre Congolais”program during the period from 2019 to 2023.The research was conducted within the broader context of the persistent war and conflict in the Democratic Republic of Congo,providing valuable insights into the dynamics and challenges of addressing the ongoing insecurity and violence in the region.The study found that media,exemplified by Radio Okapi,plays a multifaceted and significant role in promoting peace and conflict resolution in North Kivu,Democratic Republic of Congo(DRC).It serves as a critical source of accurate information,enabling informed decision-making regarding ceasefire agreements,peace talks,and humanitarian aid.Media fosters dialogue and understanding among different stakeholders,contributing to reconciliation efforts.Additionally,it raises awareness about the human cost of the conflict,challenges misinformation,monitors peace agreements,amplifies the concerns of the affected population,and promotes human rights and justice.Media also engages youth,serves as an early warning system,and attracts global attention to the conflict.It is recommended that media organizations in North Kivu continue their efforts to facilitate dialogue and understanding among different stakeholder groups.Additionally,media should maintain its focus on raising awareness about the human cost of the conflict,ensuring that the suffering of civilians remains in the spotlight and generates international empathy and support.Media outlets should also continue their role as watchdogs by closely monitoring the implementation of ceasefire agreements and reporting any violations transparently.To strengthen media’s role in promoting peace,there should be continued advocacy for peace through dedicated radio programs,news reports,and editorial content.Internationally,media should continue to provide comprehensive coverage of the conflict in North Kivu,attracting global attention and shaping the perception of the conflict on the global stage.Lastly,media organizations should preserve a lasting legacy of peace by archiving peace-related content,documentaries,and narratives of reconciliation.
基金Supported by the National High Technology Research and Development Program of China("863"Program) (2011AA1104032011AA110402)
文摘A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration ( Ⅶ) system to prevent vehicle accident beforehand at blind crossing. After analyzing traffic conflict characteristics and vehicle collision scenarios at intersection,a vehicle dynamics model and an intervehicle communication method are discussed. In the inter-vehicle communication environment,the relative relationship between two encountered vehicles are designed. Then vehicle conflict detection and resolution algorithms under two conflict scenarios are put forward to represent the conflict-free movements of vehicles with adjusting vehicle velocity at crossing. Finally,simulation studies are carried out and the results prove that the proposed algorithms are effective for vehicle conflict resolution at blind crossing.
基金Supported by the Henan Province Science and Technology Department Foundation(No.202102310237,192102210133,202102310295)the Doctoral Research Fund of Zhengzhou University of Light Industry(No.2018BSJJ039)the Internet Medical and Health Service Henan Collaborative Innovation Center Open Project Fund(No.IH2019006).
文摘Knowledge graph(KG)conflict resolution is to solve knowledge conflicts problem in the construction of KG.Aiming at the problem of KG conflict resolution,a KG conflict resolution algorithm NGDcrm is proposed,which is a numeric graph dependency-based conflict resolution method.NGDcrm utilizes the dependency graph to perform arithmetic calculation and predicate comparison of numerical entity knowledge in the KG.NGDcrm first uses a parallel segmentation method to segment the KG;then,it extracts the features of the KG according to KG embedding;finally,it uses numerical graph dependencies to detect and correct the wrong facts in the KG based on the extracted features.The experimental results on real data show that NGDcrm is better than the state-of-the-art knowledge conflict resolution method.Among them,the AUC value of NGDcrm on the DBpedia dataset is 15.4%higher than the state-of-the-art method.
基金supported in part by the National Natural Science Foundation of China Basic Science Research Center Program under Grant No.62088101the National Natural Science Foundation of China under Grant Nos.7217117 and 92367101+2 种基金the Aeronautical Science Foundation of China under Grant No.2023Z066038001Shanghai Municipal Science and Technology Major Project under Grant No.2021SHZDZX0100Chinese Academy of Engineering,Strategic Research and Consulting Program under Grant No.2023-XZ-65.
文摘The multi-UAV adversary swarm defense(MUASD)problem is to defend a static base against an adversary UAV swarm by a defensive UAV swarm.Decomposing the problem into task assignment and low-level interception strategies is a widely used approach.Learning-based approaches for task assignment are a promising direction.Existing studies on learning-based methods generally assume decentralized decision-making architecture,which is not beneficial for conflict resolution.In contrast,centralized decision-making architecture is beneficial for conflict resolution while it is often detrimental to scalability.To achieve scalability and conflict resolution simultaneously,inspired by a self-attention-based task assignment method for sensor target coverage problem,a scalable centralized assignment method based on self-attention mechanism together with a defender-attacker pairwise observation preprocessing(DAP-SelfAtt)is proposed.Then,an imperative-priori conflict resolution(IPCR)mechanism is proposed to achieve conflict-free assignment.Further,the IPCR mechanism is parallelized to enable efficient training.To validate the algorithm,a variant of proximal policy optimization algorithm(PPO)is employed for training in scenarios of various scales.The experimental results show that the proposed algorithm not only achieves conflict-free task assignment but also maintains scalability,and significantly improve the success rate of defense.
文摘DCR-OL is a Distributed Collaborative Reasoning multi-agent model with an Online Learning thataims to identify human activities in smart homes from distributed, heterogeneous and dynamicsensor data. In this model, distributed learning agents with diverse classifiers, detect sensorstream data, make local predictions, communicate and collaborate to identify current activities.Then, they learn from their collaborations to improve their own performance in activity recognition.Conflict resolution strategies are applied to generate one final predicted activity when thelocal predicted activity of an agent is different from received predicted activities of other agents.In this paper, two conflict resolution strategies using online learning, w-max-trust and w-maxfreq,are proposed. We experimentally test these strategies by performing an evaluation studyon the Aruba dataset. The obtained results indicate an enhancement in terms of accuracy and Fmeasuremetrics compared to the offline strategies max-trust and max-freq and also to the onlineexisting one max-wPerf .
基金supported by the National Research Foundation(NRF),Singapore,and the Civil Aviation Authority of Singapore(CAAS),under the Aviation Transformation Programme(ATP).
文摘Unmanned aerial vehicles(UAVs)have gained much attention from academic and industrial areas due to the significant number of potential applications in urban airspace.A traffic management system for these UAVs is needed to manage this future traffic.Tactical conflict resolution for unmanned aerial systems(UASs)is an essential piece of the puzzle for the future UAS Traffic Management(UTM),especially in very low-level(VLL)urban airspace.Unlike conflict resolution in higher altitude airspace,the dense high-rise buildings are an essential source of potential conflict to be considered in VLL urban airspace.In this paper,we propose an attention-based deep reinforcement learning approach to solve the tactical conflict resolution problem.Specifically,we formulate this task as a sequential decision-making problem using Markov Decision Process(MDP).The double deep Q network(DDQN)framework is used as a learning framework for the host drone to learn to output conflict-free maneuvers at each time step.We use the attention mechanism to model the individual neighbor's effect on the host drone,endowing the learned conflict resolution policy to be adapted to an arbitrary number of neighboring drones.Lastly,we build a simulation environment with various scenarios covering different types of encounters to evaluate the proposed approach.The simulation results demonstrate that our proposed algorithm provides a reliable solution to minimize secondary conflict counts compared to learning and non-learning-based approaches under different traffic density scenarios.
基金The authors would like to thank the anonymous referees for carefully reading this paper and having provided meaningful suggestions which helped improve the quality of paper.This paper should be dedicated to Dr.Ye Chen who was a coauthor and passed away in June,2019.This research was supported by National Natural Science Foundation of China under Grant No.71601096,China Postdoctoral Science Foundation under Grant No.2019M661838,the Fundamental Research Funds for Central Universities(China)under Grant No.NS2020061,and the Natural Science Young Scholar Foundation of Jiangsu,China,under Grant No.BK20160809.
文摘A novel two-level hierarchical graph model is developed to analyze international climate change negotiations with hierarchical structures:the negotiations take place between two nations and between each nation and its provincial governments.The two national government are two decision makers at the top level.Within each nation,the two provincial governments negotiate with the national government at the lower level.The theoretical structure of this novel model,including decision makers,options,moves,and preference relations,are developed.The interrelationship between the stabilities in the two-level hierarchical graph model and the stabilities in local models are investigated by theorems.These theorems can be utilized to calculate complete stabilities in the two-level hierarchical graph model when the stabilities in local graph models are known.The international climate change negotiations as the illustrative example is then investigated in detail.The extra equilibrium,uniquely obtained by this novel methodology,suggests that opposition may still be from one provincial government when the national government does not sign the international climate agreement and implements existing environmental laws.Compared with other approaches,this novel methodology is an effective and flexible tool in analyzing hierarchical conflicts at two levels by providing decision makers with strategic resolutions with broader vision.
基金Aeronautical Science Foundation !( 97D5 3 0 3 7)
文摘First, the concept of cooperative conflict is presented, and the characteristic of cooperative air combat is researched. Then, four methods of conflict resolution are designed by way of the first order predicate logic, i.e. , link up, coordination, accommodation and integration, and corresponding examples are given. A 2 vs 2 air combat simulation was carried out; after conflict resolution, the loss ratio is dropped to 0.54 from the original 1.32, so the enhancement of effectiveness is notable. The present research findings are that the wide conflicts discover the essence of multi fighter cooperation, i.e. , to as fully as possible enhance the effectiveness of each fighter to attain global optimization, and that the possibility of conflict resolution shows the application prospect. The proposed method in this paper is a helpful try to the application of the Fifth Generation Computer in the new generation of C 3I system.
基金A*STAR,Singapore,under Grant SERC 1922500046 and Grant A2084c0156the SUG-NAP,Nanyang Technological University,under Grant M4082268.050.
文摘To address the driving conflicts of connected automated vehicles(CAVs)at unsignalized roundabouts,a cooperative decision-making framework is proposed.The personalized driving preferences of CAVs are considered in the decision-making algorithm,which are reflected by different driving styles.A motion prediction algorithm is used to improve the decision-making performance.The effect of the motion prediction algorithm on the decisionmaking performance is evaluated,including the advancement of driving safety and the computational load for the hardware.The cooperative game theoretic approach is applied to the interaction modelling and collaborative decision making of CAVs.Finally,hardware-in-the-loop(HIL)tests are carried out to evaluate the feasibility and real-time performance of the proposed algorithm.
基金This paper is one of the research outcomes of the major project“Research on the Humanities Communication between China and Middle East Countries”(16JJDGJW013)a program of 2016 Key Research Base of Humanities and Social Sciences,China’s Ministry of Education.
文摘The Middle East has been in a state of turbulence,poor governance and inadequate development for a long time.The Gulf remains stable,although it is caught up in various regional disputes.It is a major task for both the international community and regional countries to consider how to effectively resolve these conflicts,promote regional governance and eventually achieve the long-term stability of the Gulf and the entire Middle East.China,with its commitment to peace,development and cooperation,is cautiously participating in reforming the Middle Eastern governance system.It is devoted to building a new type of international relations and a community with a shared future of humankind,albeit in a prudent manner;it highlights being an important promoter of peace,stability and industrialisation in the Middle East;it also engages in peace talks and conflict resolution in an incremental manner.China is putting the concept of peaceful development and mutual benefits into practice and helps the Middle East to embark on a new road of comprehensive reform,but so far it lacks specific scenarios and concrete roadmaps for peace in the Gulf.It also stresses interconnectivity and amity via interaction,but the Gulf conflict resolutions still have a long way to go.This paper explores Chinese principles in resolving regional conflicts from the aspects of history,politics,development,security and civilisation,and forecasts what hurdles China may face on the road to playing a bigger role.
文摘Land use conflicts are complex disputes that contribute at large in terms of negative social and economic impacts within the heterogeneous societies.The mechanisms of success for land use conflict resolution still need further research because of various mindsets of the people.In this paper,the issues of land conflicts between farmers and pastoralists in Tanzania mainland which could lead to low economic development are reviewed and the general causes and effects of land use conflicts are outlined.Poor land governance,inappropriate of land use plans,inadequate land policies,land tenure insecurity,corruption and population increases are cited as being among of the main offenders fuelling land use conflicts in Tanzania.
基金partly supported by Program for the National Natural Science Foundation of China (62373052, U1913203, 61903034)Youth Talent Promotion Project of China Association for Science and TechnologyBeijing Institute of Technology Research Fund Program for Young Scholars。
文摘Due to its flexibility and complementarity, the multiUAVs system is well adapted to complex and cramped workspaces, with great application potential in the search and rescue(SAR) and indoor goods delivery fields. However, safe and effective path planning of multiple unmanned aerial vehicles(UAVs)in the cramped environment is always challenging: conflicts with each other are frequent because of high-density flight paths, collision probability increases because of space constraints, and the search space increases significantly, including time scale, 3D scale and model scale. Thus, this paper proposes a hierarchical collaborative planning framework with a conflict avoidance module at the high level and a path generation module at the low level. The enhanced conflict-base search(ECBS) in our framework is improved to handle the conflicts in the global path planning and avoid the occurrence of local deadlock. And both the collision and kinematic models of UAVs are considered to improve path smoothness and flight safety. Moreover, we specifically designed and published the cramped environment test set containing various unique obstacles to evaluating our framework performance thoroughly. Experiments are carried out relying on Rviz, with multiple flight missions: random, opposite, and staggered, which showed that the proposed method can generate smooth cooperative paths without conflict for at least 60 UAVs in a few minutes.The benchmark and source code are released in https://github.com/inin-xingtian/multi-UAVs-path-planner.
基金supported by the National Natural Science Foundation of China(Nos.71071076,71471087,and 61673209)
文摘Based on the option prioritization in graph model for conflict resolution of two decision makers(DMs),new logical and matrix representations of four stability concepts for DMs′attitude are proposed.The logical representation of attitude is defined,and converted to the matrix form in order to develop a decision support system(DSS)efficiently.Compared with existing definitions of DMs′attitude based on states,the proposed definitions of attitude based on options are convenient and more effective to generate preferences since that of states can be significantly larger than that of options in a large conflict.In addition,it is easier to obtain the information of the prioritization of option statements than to obtain preference of states for users.The proposed representations are applied to the process conflict during aircraft manufacturing to demonstrate the efficiency of the new approach.
基金supported by Safety Ability Project of Civil Aviation Administration of China(No.TM 2018-5-1/2)the Open Foundation project of The Graduate Student Innovation Base,China(Laboratory)of Nanjing University of Aeronautics and Astronautics,China(No.kfjj20190720)。
文摘With the rapid growth of flight flow,the workload of controllers is increasing daily,and handling flight conflicts is the main workload.Therefore,it is necessary to provide more efficient conflict resolution decision-making support for controllers.Due to the limitations of existing methods,they have not been widely used.In this paper,a Deep Reinforcement Learning(DRL)algorithm is proposed to resolve multi-aircraft flight conflict with high solving efficiency.First,the characteristics of multi-aircraft flight conflict problem are analyzed and the problem is modeled based on Markov decision process.Thus,the Independent Deep Q Network(IDQN)algorithm is used to solve the model.Simultaneously,a’downward-compatible’framework that supports dynamic expansion of the number of conflicting aircraft is designed.The model ultimately shows convergence through adequate training.Finally,the test conflict scenarios and indicators were used to verify the validity.In 700 scenarios,85.71%of conflicts were successfully resolved,and 71.51%of aircraft can reach destinations within 150 s around original arrival times.By contrast,conflict resolution algorithm based on DRL has great advantages in solution speed.The method proposed offers the possibility of decision-making support for controllers and reduce workload of controllers in future high-density airspace environment.
文摘The development of product is a complex process. Collaboration is necessary to this process to support multi-function teams’ participation in this process at the same time. Effective task decomposition is the prerequisite of collaborative design and constraint network was used to express the relationship among design participants. In order to make the coupling collaborative design go smoothly, a constraint satisfaction model based on dynamic constraint is put forward. An integrated-based conflict resolution model is advanced to resolve the complex conflict during the process of collaborative design.
文摘Truly opposite is defined by identity of units with complementary anatomy or structure to form a pair,e.g.male and female.Complementary or corresponding structure or form permits reciprocal function of these units or“opposites”.Focus on“Identity”or“function”determines one’s view as to whether these units are“opposites”or“complementary”.“Identity”is unique&exclusive,whereas,function requires inclusivity,specificity&reciprocal interaction,contributed to by both units to form a dynamic partnership or pair.Contextual interaction matters as it permits an inclusive view.Inclusion&awareness of surroundings that impact on relationships and/or personal interaction is represented here by a surrounding circle or sense of purpose and represents the extension of immediate context involving both units in a paired relationship of structural complementary units within their encompassing surroundings or contextual field.Contextual reference is the ethical key to understanding situations&circumstance so serves as the key to ethics,morality&relationships.The Relationship Equation,E=1=m.c-1,provides a simple model of understanding usually viewed as complex relationships.It offers an approach to solving identity issues by viewing these as complementary and functional rather than as opposites.In place of identity as the focus it introduces context and reciprocal interaction of complementary units of a pair.Identity as part of a whole transfers the focus from self to other or both and to an awareness of higher purpose in the Oneness of function of Creation as(m.c-1)=E=1.Environmental influence is taken into account by viewing the Eco-social environment or Eco-society as important.Impact of environment on one or other unit in a pair or on both&vice versa affects relationships.Resilience&adaptation to environmental change leads to evolution when the pair thrives better in this new Eco-social environment.Being part of a functional whole,as a functional unit or as a functioning pair,adds purpose and reason for the Creation,all of Creation,including self,as one is included in all!Application of the Relationship Equation is relevant to health&wellbeing,parenting,biology,law&health law,political science,society&evolution.It is also valuable when utilized as a resolution tool as it offers functional outcomes and sense of purpose on the basis of objectivity,trust and truth to overcome conflict arising from a highly sensitized identity-oriented focus.Contextual&reciprocal units in functional pairs replace self as the basic functional principle of the whole of existence.Application of this understanding has preventive as well as therapeutic relevance.It may be used as a guide in upbringing,parenting and child care as well as conflict resolution in personal,social&political scenarios locally,nationally,internationally,globally&universally.It is the“happinewness”key.
基金funded by NASA(No.NNX08AY52A)FAA Award(No.07-C-NEGIT)+1 种基金Amendment(Nos.005,010,020)Air Force Contract(No.FA9550-08-1-0375)。
文摘In an effort to maintain safety while satisfying growing air traffic demand,air navigation service providers are considering the inclusion of advisory systems to identify potential conflicts and propose resolution commands for the air traffic controller to verify and issue to aircraft.To understand the potential workload implications of introducing advisory conflict-detection and resolution tools,this paper examines a metric of controller taskload:how many resolution commands an air traffic controller issues under the guidance of an advisory system.Through a simulation study,the research presented here evaluates how the underlying protocol of a conflict-resolution tool affects the controller taskload(system demands)associated with the conflict-resolution process,and implicitly the controller workload(physical and psychological demands).Ultimately,evidence indicates that there is significant flexibility in the design of conflict-resolution algorithms supporting an advisory system.
