Spatial Grasp Technology Basics

We are witnessing rapidly growing world dynamics caused by climate change, military, religious and ethnic conflicts, terrorism, refugee flows and weapons proliferation, political and industrial restructuring too. Dealing with frequently emerging crises may need rapid integration of scattered heterogeneous resources into capable operational forces pursuing goals which may not be known in advance. Proper understanding and managing of unpredictable and crisis situations may need their detailed simulation at runtime and even ahead of it. The current paper aims at deep integration, actually symbiosis, of advanced simulation with live system control and management, which can be effectively organized in nationwide and world scale. It will be presenting the latest version of Spatial Grasp Technology (SGT) which is not based on traditional communicating parts or agents, as usual, but rather using self-spreading, self-replicating, and self-modifying higher-level code covering and matching distributed systems at runtime while providing global integrity, goal-orientation, and finding effective solutions. These spatial solutions are often hundreds of times shorter and simpler than with other approaches due to special recursive scenario language hiding traditional system management routines inside its parallel and distributed interpretation. The paper provides basics for deep integration, actually symbiosis, of different worlds allowing us to unite advanced distributed simulation with spatial parallel and fully distributed control, while doing all this within the same high-level and very simple Spatial Grasp formalism and its basic Spatial Grasp Language (SGL). It will also mention various SGT applications including economy, ecology, space research & conquest and security, where effective symbiosis of distributed interactive simulation with live control and management may provide a real breakthrough. SGL can be quickly implemented even within standard university environments by a group of system programmers, similar to its previous versions in different countries under the author’s supervision. The technology can be installed in numerous copies worldwide and deeply integrated with any other systems, actually acquiring unlimited power throughout the world.

The paper follows practical works on the creation of the first citywide computer networks in Kyiv (Ukraine) which have been integrating different institutes of the National Academy of Sciences and other organizations from the end of the sixties, well before the internet. These works resulted in a new management concept and distributed control methodology and technology, originally called WAVE, which were further developed and demonstrated in different countries in the areas like network management, industry, social systems, collective robotics, military command and control, crisis management, national and international security, defense, distributed simulation, space-based systems, and many others. The current paper analyses the relation of the developed Spatial Grasp Model, resultant Spatial Grasp Language (SGL), and Spatial Grasp Technology (SGT) to some higher-level psychological and philosophical concepts. By providing the basics of SGL and SGT and details of their implementation, it discusses the possible relation of these concepts to some gestalt theory laws like the Law of Proximity, Law of Good Gestalt, and Law of Figure and Ground. The paper also shows how to organize a sort of distributed and global awareness under SGT on an example of a dynamic swarm of chasing units, which can provide the increased operational capability of the swarm and be practically used for the organization of collective behaviour of multiple robot units exploring unknown and harsh environments. The paper mentions how SGT may relate to higher mental concepts like perception, consciousness, and even soul. It also shows relations of SG concept and its implementation to the pattern theory, with pattern considered as a fundamental and universal concept in many areas of human activity, which actually stands in opposition to the terms of logic.

The chapter describes the Spatial Grasp Model based on distributed spatial patterns self-matching the distributed worlds and its key element—recursive Spatial Grasp Language, SGL, in which all such patterns are expressed in a parallel wavelike mode, with unlimited scenario mobility in distributed spaces. SGL directly operates with physical, virtual, and executive worlds and their any combinations, also with pure computations within the same universal recursive syntax which allows the language to be extended easily for new classes of distributed applications. Elementary scenarios in SGL and main ideas of its networked interpretation are presented too.

11 - Control of goal-directed limb movements in primates: neurobiological evidence for parallel, distributed motor processing

Traditional LiDAR post process is centralized. In centralized process model, data, process module and workflow can only be accessed within specific platform. This results in interoperability problem ranging from data sharing to functionality and workflow reuse. To tackle this problem, this paper proposes distributed process model for LiDAR post process. The distributed process model consists of interoperability solution on three aspects: data, process module and workflow. According to experiment, distributed LiDAR process model overcomes problems mentioned above. The process model and interoperability solution proposed in this paper can serve as reference to other geo-processing application.

According to Bowers, the finding that there are neurons with highly selective responses to familiar stimuli supports theories positing localist representations over approaches positing the type of distributed representations typically found in parallel distributed processing (PDP) models. However, his conclusions derive from an overly narrow view of the range of possible distributed representations and of the role that PDP models can play in exploring their properties. Although it is true that current distributed theories face challenges in accounting for both neural and behavioral data, the proposed localist account--to the extent that it is articulated at all--runs into more fundamental difficulties. Central to these difficulties is the problem of specifying the set of entities a localist unit represents.

The degree to which the behaviour of parallel distributed processing (PDP) models approximates children's acquisition of inflectional morphology has recently been highlighted in discussion of the applicability of PDP to the study of human cognition and language. In this paper, an attempt is made to examine many of the limitations of the Rumelhart and McClelland model and adopt an empirical, comparative approach to the analysis of learning....

Classic connectionist models of reading have traditionally focused on English, a language with a quasi-regular (deep) relationship between orthography and phonology, and very little work has been carried out on more transparent (shallow) orthographies. This paper introduces a parallel distributed processing (PDP) model of reading for Italian. The model is successful in simulating a variety of behavioral effects such as the neighborhood effect and the morphological effect in nonword reading, previously accounted for by dual route architectures, and provides clear evidence that different grain sizes in the orthography to phonology mapping can be discovered even in a model trained with almost perfectly shallow stimuli.

A parallel processing framework for the investigation of three dimensional subsurface geological problems is developed. The Floating Point Systems T-20 hypercube parallel computer system is used in the automatic correlation of petrophysical well logs. Parallel processing issues such as processor management, interprocessor communications management, memory management and algorithm development are discussed. Techniques are discussed to use spontaneous potential petrophysical logs to segregate subsurface strata into sand and shale segments. These segments are then used to generate sand/shale ratio logs for use in an automatic subsurface stratigraphic analysis system on a parallel machine. Phase one prepares petrophysical logs for stratigraphic analysis. The petrophysical logs are filtered and cleaned to remove any as salinity effects and improper tool responses. The spontaneous potential log is used to segregate each log into individual sand and shale beds and use these beds to create sand and shale databases which are used to create sand/shale ratio logs for later analysis. Phase two creates and solves a two dimensional matching probability matrix. The theoretical foundation is developed and several implementation issues are discussed. These issues include: (1) how to select data points, (2) how to compare data values from two petrophysical logs, (3) how to view the data, and (4) how to find the optimal set of strata observing several constraints imposed by the nature of the subsurface. Phase three developments parallel processing techniques to handle a multi-dimensional matching probability matrix. Each petrophysical log is treated as an axis of a multi-dimensional matrix with all points from one log being compared with all points from all other logs. A theoretical foundation is developed followed by implementation details. The data storage space required for this study was in excess of 10$\sp{56}$ bytes.

Analysis of a model for parallel image processing

This paper discusses the development and current state of the art in parallel processing. The advantages and disadvantages of the various approaches are described from a pragmatic viewpoint. One that is described and discussed is a natural extension of the evolutionary approaches. This alternative covers the problems of locating, describing, controlling, and scheduling parallel processing. It is a general-purpose approach that is applicable to all types of data processing and computer configuration.

Block rooms allow parallel processing of surgical patients with the purported benefits of improving resource utilization and patient outcomes. There is disparity in the literature supporting these suppositions. We aimed...

An open parallel intelligent CNC milling system is developed both in hardware and software. It is constructed as a hierarchical modular structure. An intelligent controller module is developed based on the ISA bus using a PC, which is connected to the CNC main processor module through a dual-port memory so that parallel control can be realised. All the functional software modules are developed in a hierarchical parallel structure in a real-time multi-task operating system so that parallel processing can be realised.

The characteristics of the systems demanded the specification of the architecture to be based in a framework for distributed systems. The framework adopted, based in on the RM-ODP (reference model for open distributed processing) standard and on the RASDS (reference architecture for space data systems) initiative, was customized in order to follow the current service oriented architecture (SOA) technological trend. This framework has been applied to the ground systems software with the support of an UML modelling tool. In this process, four viewpoints were used to describe the reference architecture. The model created provides various advantages in new system developments. It enables a better interoperability and completeness of the systems being designed and developed and also greatly benefits the systems' maintainability namely the modularity, changeability and portability. Future developments and enhancements to this architecture include namely the specification of interfaces of key components, which enforces the compliance of new products with the reference architecture. The architecture is bringing direct benefits to harmonization process, especially by allowing true interoperability between European space segment initiatives

Interoperability between autonomous decentralized systems needs support of an information service that can provide dynamic knowledge about available service providers within the network. We describe trading service. Trading is an essential infrastructure function indicated by the ODP (open distributed processing) reference model, a meta model of heterogeneous distributed processing. The purpose of trading is to support location transparency of services: it hides the location of service providers, even if they are located in separate, autonomous domains. Cooperation between trading service providers (trader) supports federation transparency, i.e. hides differences of technology used in separate domains. In cooperation, the traders have to mediate service type differences, negotiate policy differences and tolerate technology differences between domains. Together with other fundamental functions trading offers a platform for open distributed computing between autonomous subsystems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>