A greedy policy for fleet-level radar resource management

This paper presents a model for building agents' memories in virtual environments. This approach allows the generation of agents' memory during the simulation, without user intervention. Moreover the memory can be used to generate behavioural reactive rules. We use dynamic and hierarchical finite state machine (DHFSM) in order to represent the agents past experiences.

Events detection and handling based on hierarchical finite state machines in EAST PCS

In the manufacturing process, digital twin technology can provide real-time mapping, prediction, and optimization of the physical manufacturing process in the information world. In order to realize the complete expression and accurate identification of and changes in the real-time state of the manufacturing process, a digital twin framework of incremental learning driven by stream data is proposed. Additionally, a novel method of stream data-driven equipment operation state modeling and incremental anomaly detection is proposed based on the digital twin. Firstly, a hierarchical finite state machine (HFSM) for the manufacturing process was proposed to completely express the manufacturing process state. Secondly, the incremental learning detection method driven by stream data was used to detect the anomaly of the job process data, so as to change the job status in real time. Furthermore, the F1 value and time consumption of the proposed algorithm were compared and analyzed using a general dataset. Finally, the method was applied to the practical case development of a welding manufacturer’s digital twin system. The flexibility of the proposed model is calculated by the quantitative method. The results show that the proposed state modeling and anomaly detection method can help the system realize job state mapping and state change quickly, effectively, and flexibly.

Perkembangan industri game mendorong kebutuhan akan sistem kendali karakter dan pertarungan yang responsif dalam genre Action RPG 2D. Penelitian ini bertujuan untuk mengimplementasikan sistem character player yang mencakup character controller dan combat system menggunakan Godot Engine. Character controller dirancang untuk memberikan kendali yang halus terhadap pergerakan karakter seperti bergerak, berlari, dan melompat, sedangkan combat system difokuskan pada mekanisme attack, deteksi musuh, upgrade stats, dan pengurangan damage musuh. Metode yang digunakan adalah rekayasa perangkat lunak dengan tahapan analisis, perancangan, implementasi, dan pengujian. Sistem kendali karakter dikembangkan menggunakan Hierarchical Finite State Machine (HFSM) agar modular dan mudah dikembangkan, sedangkan sistem pertarungan memanfaatkan area dan animasi yang sinkron. Hasil pengujian menunjukkan bahwa sistem berjalan dengan baik dan memberikan pengalaman bermain yang responsif dan stabil. Implementasi ini penting sebagai acuan pengembangan game Action RPG 2D berbasis open-source.

Sharing intellectual property (IP) blocks in today's competitive market poses significant high security risks. In this paper, we present a tutorial for a watermarking approach based on the embedding of the ownership proof as part of the IP design's finite state machine (FSM). It utilizes coinciding as well as unused transitions in the state transition graph of the design. Based on this approach, we have developed a robust watermarking framework, used for copyright protection. The developed technique increases the robustness of the watermark and allows a secure implementation, hence enabling the development of the first public-key IP watermarking scheme at the FSM level. In order to integrate these algorithms in the design cycle of industrial projects, we extend the above techniques to enable the watermarking of hierarchical finite state machines (HFSMs)

Cronus [1-7] is an object oriented distributed system which operates in a heterogeneous computer environment of interconnected local area networks. As a distributed system architecture. Cronus faces a number of resource management issues not present in non-distributed architectures. Strategies for effectively controlling the redundancy and reconfigurability inherent in Cronus are needed to take advantage of the distributed system environment. These strategies for resource management are often conveniently separated into policies and mechanisms. A policy is a goal or guideline set by a system administrator or component designer constraining the decisions made by a resource allocator. A mechanism is an internal system structure designed to implement a class of policies.In the Cronus distributed system model, there are currently two general aspects of resource allocation mechanisms which are particular to the network environment and must be effectively managed. One of these is the binding of a client request to a particular resource manager for those resources which are available redundantly. Redundancy comes in two forms: replicated objects, (e.g., a multi-copy file) and replicated managers (any manager for a type can create a new instance of that object type). For both forms the selection of an object manager to provide the given service is an important resource management policy decision. The other important aspect of resource management mechanism is the ability to reconfigure parts of the system by dynamically migrating objects. Object migration is a powerful tool for matching system resources to tasks in a manner that attempts to maximize some measure of system performance, reliability, or survivability. Both static reconfiguration (e.g., choosing or amending the placement of object managers and their associated objects), and dynamic reconfiguration (e.g., moving an individual object in direct response to demand for its use possible in the Cronus architecture and design.The general approach to resource management in Cronus is to individually control the management of the classes of objects which make up the system. This approach extends Cronus resource management concepts beyond system resources to the abstract resources developed by applications. Resource management for an individual abstract resource (type) and for groups of related resource types (services) in Cronus is based on combining a number of carefully planned mechanisms which are part of the system architecture. In addition to resource management by resource type, a client specific policy which considers collections of object types used in a specific context can be constructed.In Cronus we achieve system wide and easily controllable resource management by requiring the object managers to cooperate in enforcing a resource management policy for their resource type. An object manager can redirect operations to a peer manager on another processor on the basis of current resource status. In the case for creation of a file to an alternate file manager which may have more storage available. Part of the basis for decisions to redirect requests are parameters, settable dynamically by system administrators through monitoring and control functions, which control the resource management strategy. The creation of objects and resource management in general thus becomes a responsibility that is decentralized among object managers on each processor based on a global allocation policy, both in terms of sharing current status and possible redirection of operations between managers.The Cronus resource management model is based on the integration of the following set of primitive mechanisms: the kernel routes requests for a given type to any available manager of that type, using the Locate mechanismCronus managers redirect requests to a more appropriate peer to accomplish resource management objectivesmanagers periodically collect current status of their peers, via a standard mechanism (ReportStatus), to be used as a basis for selecting a site for redirecting an operationusers and applications optionally indicate specific location preferences with requestsan operator can monitor and regulate the functioning of the resource management policyapplications can use the basic system mechanisms (e.g. broadcast or multicast, ReportStatus operations) to build special-purpose resource management strategies tailored to their needThere is a hierarchy of desirable locations for implementing resource management policies: object managers, shared libraries, and finally client programs or users themselves. Managers are the most desirable because they are readily identifiable with a limited set of object types which are likely to have similar policy goals. Also, managers are addressable as a group for administrative control to regulate the policy parameters, and for peer manager cooperation to implement the policy. Many decisions are negotiated between managers based upon information periodically obtained via the ReportStatus operation. The Cronus Monitoring and Control System uses the same ReportStatus operation to present the operator with a global view of how well the resource management policy is proceeding.In this paper we elaborate on these approaches to distributed resource management in Cronus, including appropriate background, detailed system design, and experiences with incorporating these ideas into three different resource managers.

The article surveys the introduction of rational allocation of financial and material resources in the sphere of security and defense as a factor that significantly enhances the resilience of the State against modern challenges. The conditions of dynamic changes in the security environment that necessitate the use of the latest methods for assessing economic feasibility and optimizing strategic planning in the sphere of security and defense capability are considered. Special attention is given to the development of scientifically grounded approaches and econometric models to enhance the resilience and adaptability of the new defense economy. In the study, statistical data from 20 security and defense projects implemented in Ukraine, which encompass the development of new weaponry prototypes and the modernization of existing defense and security systems, were analyzed. The multiple regression method was used to assess the impact of key factors on current costs, as well as the least squares method to build a mathematical model for forecasting expenditure levels and optimizing the material and financial resources involved. It is determined that the largest impact on costs comes from management and operational items, main supply resources, and long-term investment needs. A level model of strategic management has been developed, taking into account innovative, risk, and inflation components, which confirms that high-tech projects with significant innovative potential ensure long-term economic efficiency. Prospects for further research include expanding the database to analyze a larger number of projects, implementing digital cost monitoring tools, and adapting the constructed econometric model to the conditions of other countries and defense systems. A priority direction is the development of integrated methods for assessing risks and effectiveness in the context of global transformational challenges.

A number of concurrent computers have been designed, such as [Ametek 1988] and [NCUBE 1986]. Taking advantage of concurrency on these computers will require new languages, operating systems, and environments to support the programming, monitoring and control of applications. The Rosette project at MCC is developing a system architecture for general-purpose concurrent computation based on the Actor model [Agha 1986]. The aim of the Rosette architecture is to support the use of concurrent computers in solving computationally intensive problems whose structure is not statically determined. The architecture will support variable grain size, dynamic resource management, reflection, and heterogeneity. A number of concurrent language proposals have employed computational models that are limited in their applicability because of assumptions such as granularity of concurrency, static process topology, or inherent communications cost. Others, for example, functional programming, cannot be used to model shared, modifiable objects. The Actor model addresses these issues directly. However, the difficulties of using concurrent computers cannot be addressed solely through programming languages. Traditional operating systems treat each process as an independent entity for the purposes of resource management (i.e., for the run-time allocation of processor, storage, and communication resources.) In the context of concurrent applications, effective operation on a concurrent computer requires that communities of processes be managed together, taking into account the ways in which they interact, and providing for the application itself to guide resource management. For example, consider that programming systems often provide only limited support for the control of resource consumption in search problems in the face of combinatorial explosion; further, it is generally recognized that to optimize search performance, it is useful to vary the resources provided depending on how promising intermediate results of a given path are judged to be. The Rosette architecture will allow the programmer to integrate high-level algorithms within the application for dividing resources dynamically among the sub-computations that are spawned. These algorithms will provide an assessment of the progress of the sub-computations, and will be used to make the large number of low-level resource management decisions that are necessary in carrying out the computation. Thus, operating system functionality will be folded into the application. The Rosette architecture has two major components: an interface layer and a system environment . The interface layer provides mechanisms for the monitoring and control of concurrent applications. It supports a uniform view of the system resources and applications through the use of actors and message-passing semantics. The interface layer includes a set of actors that represent the processing, storage and communication resources across the hardware base. The system environment contains actor communities which implement resource management policies , and support for programming concurrent applications. The environment consists of an extensible set of actors that are organized via a class-based object model. These actors provide monitoring, debugging, resource management system simulation, and compilation/transformation facilities. To demonstrate the effectiveness of the Rosette architecture, as well as to drive its development, two classes of applications are being used. The first class is the Rosette system itself: all of the system components necessary for resource management, monitoring, debugging, and program development are being constructed in the Rosette language and will take full advantage of both concurrency and object-oriented programming support. The second category of applications is chosen to be somewhat independent of the Rosette system so as to ensure adequate feed-back concerning applicability to domains other than software engineering. These applications are in the general area of knowledge-based signal interpretation. The Rosette architecture is implemented via a concurrent object-oriented programming language that provides the following features: Inherent concurrency : A declarative approach is needed which allows fine-grained concurrency to arise naturally from the program. If the programmer is forced to express all of the details of the concurrent execution of an application, it becomes difficult to re-map a given program to different concurrent computers which have varying concurrency characteristics. Dynamic creation/modification of objects : This allows the system to be extensible and reconfigurable. Sharing : The language should support mechanisms such as inheritance so that code, structure, and values need not be replicated. Classes : Objects can be organized into classes to permit more effective management of resources, as for example in a very large database. Classes should be first-class objects and hence it should be possible to create classes dynamically. The Rosette language is a high-level language that is translated into a base language that directly expresses concurrent computations in terms of the semantics of the Actor model. The Rosette language extends the base language with data abstraction facilities and a library of classes, and is used to implement the non-built-in actors of the interface layer, components of the system environment, and applications. Using data abstraction extensions to the base language, the Rosette language organizes actors into classes according to common sets of behaviors and local state. Inheritance is used as a means of sharing code and structure that is common among classes. There is considerable evidence, for example [LaLonde 1986] and [Snyder 1987], that a robust class system should support separate hierarchies that represent what is modeled by a class and how some class of objects are actually implemented. Our approach is to use three different kinds of classes to organize the various kinds of actors in a system and information about these actors: abstract classes specify observable requests, responses, and actions; representation classes specify resource management characteristics of implementations; and behavior classes contain the actual implementations. Associated with an abstract class is the set of representations that are available to implement the particular abstraction. Each representation is associated with the behavior class that contains the corresponding implementation. The power of this separation is that each of the three kinds of class may be related to others in a class hierarchy. This means that the relationships between abstract classes are not forced to have the same structure as the relationships among implementations. Sharing via inheritance among behavior classes is related to engineering concerns; relations among abstract classes are dictated by external/observable behavior. As an example, an abstract class might specify the operations available over real-matrices . There are several ways of representing a matrix as a community of actors, and each of these would be specified with appropriate representation and behavior classes. There is a well-defined abstract hierarchy of matrices such as invertible, positive , etc. These abstract kinds of matrices are independent of the various implementations, which may be chosen according to application and hardware resource constraints. The Rosette language embodies a reflective model of the interface layer that is similar to that used in ABCL/R, [Watanabe and Yonezawa 1988]. This model is t

The ARINC-653 standard defines temporal partitioning that enables multiple avionics applications to execute independently from each other without interference in terms of CPU resources. Though partitioning has been mainly discussed from the viewpoint of manned aircraft, it can also efficiently integrate multiple applications on civilian Unmanned Aerial Vehicles (UAVs) that have even severer limitations on size, weight, power, and cost. In order to employ ARINC-653 temporal partitioning to civilian UAVs, its implementation must be flexible enough to be applied to diverse run-time software environments and computing hardware platforms. In this paper, we suggest a portable and configurable implementation of ARINC-653 for small-sized civilian UAVs aiming for low cost, easy development, and easy extension. Our implementation provides the Operating System (OS) abstraction layer that defines the essential OS-level features and the OS-independent interfaces to the upper layer that actually implements the ARINC-653 standard. Our implementation is also modularized so that the policies of resource management in CPU scheduling and memory allocation can be easily extended and selectively configured. In addition, we implement the advanced resource management schemes to promote the benefits of multi-core processors that are already widely deployed in Commercial Off-The-Shelf (COTS) systems. We show that our ARINC-653 implementation is portable across different OS, such as Linux and RTEMS, reusing the most of source codes thanks to the layered and modular design. We also analyze the overheads of the ARINC-653 APEX interfaces and multi-core scheduling. Moreover, we conduct a case study for a small-sized quad-copter.

The article considers the current state and role of the creative and intellectual component of the restaurant industry in overcoming the crisis of the service sector in a pandemic and the spread of Covid-19 and the specifics of the restaurant industry in Ukraine in the pandemic and opportunities in accordance with existing corporate assets. The aim of the study was to conduct an analytical review of the state and prospects of the restaurant industry in the country and develop recommendations for the use of internal corporate resources and assets of the restaurant sector in the Covid-19 pandemic. We have used a set of general and special methods in this article (they are historical and logical method, method of analysis and synthesis, diagram method, scientific abstraction). We reviewed the literature and used some staffing interpretations. The carried-out analysis of creative and intellectual capital of the enterprises of the restaurant industry taking into account specifics of the have been used to support existing managerial policies for better retention practices and management of resources, for better management practices of the enterprises. It is established that after the deep crisis of 2020, there is a gradual increase in the volume of services provided to the population by catering establishments. It is proposed at the initial stage of recovery of the restaurant industry to emphasize the importance of increasing intra-corporate resources of food establishments. The results of our study prove the fact that in the period of reformatting the business strategies of restaurants and increasing the adaptability of food establishments during the pandemic, as well as in the future, human resources and intellectual assets will form the dominant entrepreneurial success and the creative space of restaurants. It is determined that the creative and intellectual assets of the restaurant industry are activators of the development of this sector of services, as well as the space for the formation of innovative forms of organization of food establishments.

Allied Distillers Limited (ADL) is based in Scotland and is part of the international Allied Domecq group. Its main business is the production of whisky and other spirits-based drinks. In particular, there was a perceived need to achieve an effective mix of formal and informal training, with an emphasis on learning through doing, and an integration of people development policies with other human resource management (HRM) and operations policies. ADL provides us with a lesson in perseverance – the radical changes they have achieved do not occur overnight, and there has been a longitudinal commitment to change. The project team included people from many levels in the organization, and they visited other notable developments in the UK. The organization has exhibited double-loop learning through its adoption of recommendations and solutions which have emerged from the project work, and there has been upward learning.

Single-instruction-set architecture (Single-ISA) heterogeneous multi-core processors (HMP) are superior to Symmetric Multi-core processors in performance per watt. They are popular in many aspects of the Internet of Things, including mobile multimedia cloud computing platforms. One Single-ISA HMP integrates both fast out-of-order cores and slow simpler cores, while all cores are sharing the same ISA. The quality of service (QoS) is most important for virtual machine (VM) resource management in multimedia mobile computing, particularly in Single-ISA heterogeneous multi-core cloud computing platforms. Therefore, in this paper, we propose a dynamic cloud resource management (DCRM) policy to improve the QoS in multimedia mobile computing. DCRM dynamically and optimally partitions shared resources according to service or application requirements. Moreover, DCRM combines resource-aware VM allocation to maximize the effectiveness of the heterogeneous multi-core cloud platform. The basic idea for this performance improvement is to balance the shared resource allocations with these resources requirements. The experimental results show that DCRM behaves better in both response time and QoS, thus proving that DCRM is good at shared resource management in mobile media cloud computing.

In recent years, Web service technologies are becoming more and more important communication scheme for grid environment. WSRF-based resource management components, such as WS-GRAM in GT4, lay emphasis on how to make existing procedures such as local scheduler be invoked via HTTP, so that they inevitably have two problems described below. (1) If assumed environment is cluster type grid, each worker node does not have access scheme to any information included in resource property of master node. (2) As a result, the contents of information sent to clients is forced by the local scheduler and therefore clients can not control job status in accordance with their own policy. If those two problems are resolved, any client's own resource management policy can be reflected on worker nodes. In this paper, we propose a method for resolving those problems in order to realize the interactive communication between clients and worker nodes for WSRF-based cluster grid.

Water is a strategic, but also highly vulnerable, natural resource. This because the increasing demand from multiple uses, in many cases competing amongst them, seems to influence the concepts of sustainability of the exploitation. From the operational point of view, the studied system is an integrated decision support system. It is not only a platform to exchange information and assessments, but also a tool for conflict resolution, in the management of water resources, to obtain the consensus among all participants in the decisional processes. So the canonical “top-down” approach has been replaced with a “bottom-up” approach where all stakeholders become decision makers themselves. The application of the aforementioned approach was studied for the Tiber River basin and has been applied to the Province of Perugia area. The study focused to the building of a spatial database of hydrological data and multipurpose water withdrawals, together with the setting of the evaluation model for the surface water resources. This model bases its algorithms on regionalization procedures of flow parameters. For the definition of the river condition, hydrological indices calculated from the hydrological database have been used, while for the existing withdrawals, an analysis procedure has been developed, that from the point of interest directly selected on the map, finds out the upstream basin and, by means of overlay procedures, identifies the upstream water uses and the total flow that could be extracted. The potential of the system and the technologies used are contained in a WEB platform that allows the analysis of the database of water uses/withdrawals on the cartography, and the comparison with the hydrogeological characteristics of the sub-basin examined. The purpose of this study is to provide software tools that can be used as a support in water resource evaluation and management policies at the basin scale.

Water is a strategic, but also highly vulnerable, natural resource. This because the increasing demand from multiple uses, in many cases competing amongst them, seems to influence the concepts of sustainability of the exploitation. From the operational point of view, the studied system is an integrated decision support system. It is not only a platform to exchange information and assessments, but also a tool for conflict resolution, in the management of water resources, to obtain the consensus among all participants in the decisional processes. So the canonical “top-down” approach has been replaced with a “bottom-up” approach where all stakeholders become decision makers themselves. The application of the aforementioned approach was studied for the Tiber River basin and has been applied to the Province of Perugia area. The study focused to the building of a spatial database of hydrological data and multipurpose water withdrawals, together with the setting of the evaluation model for the surface water resources. This model bases its algorithms on regionalization procedures of flow parameters. For the definition of the river condition, hydrological indices calculated from the hydrological database have been used, while for the existing withdrawals, an analysis procedure has been developed, that from the point of interest directly selected on the map, finds out the upstream basin and, by means of overlay procedures, identifies the upstream water uses and the total flow that could be extracted. The potential of the system and the technologies used are contained in a WEB platform that allows the analysis of the database of water uses/withdrawals on the cartography, and the comparison with the hydrogeological characteristics of the sub-basin examined. The purpose of this study is to provide software tools that can be used as a support in water resource evaluation and management policies at the basin scale.