Providing Global Awareness in Distributed Dynamic Systems

The paper investigates applicability of the developed high-level model and technology for solution of diverse problems in large distributed dynamic systems which can provide sufficient awareness of their structures,organization,and functionalities.After the review of meanings of awareness and existing approaches for its expression and support,the paper shows application of the Spatial Grasp Model and Technology(SGT)and its basic Spatial Grasp Language(SGL)for very practical awareness solutions in large distributed dynamic systems,with obtaining any knowledge from any point inside or outside the system.The self-evolving,self-replicating,and self-recovering scenario code in SGL can effectively supervise distributed systems under any circumstances including rapidly changing number of their elements.Examples are provided in SGL for distributed networked systems showing how in any node any information about other nodes and links,including the whole system,can be obtained by using network requesting patterns based on recursive scenarios combining forward and backward network matching and coverage.The returned results may be automatically organized in networked patterns too.The presented exemplary solutions are parallel and fully distributed,without the need of using vulnerable centralized resources,also very compact.This can be explained by fundamentally different philosophy and ideology of SGT which is not based on traditional partitioned systems representation and multiple agent communications.On the contrary,SGT and its basic language supervise and control distributed systems by holistic self-spreading recursive code in wavelike,virus-like,and even“soul-like”mode.

Implementation of SNMP and AgentX in SDH Management Network

This article describes an implementation of management of SDH network based on SNMP systematic structure, featuring its simplicity and low resource consumption together with the flexible extensibility by the application of AgentX.

Towards the Tipping Point for FAIR Implementation

This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship,which provide that data should be findable,accessible,interoperable and reusable.The implementation of these principles is designed to lead to the stewardship of data as FAIR digital objects and the establishment of the Internet of FAIR Data and Services(IFDS).If implementation reaches a tipping point,IFDS has the potential to revolutionize how data is managed by making machine and human readable data discoverable for reuse.Accordingly,this article examines the expansion of the implementation of FAIR Guiding Principles,especially how and in which geographies(locations)and areas(topic domains)implementation is taking place.A literature review of academic articles published between 2016 and 2019 on the use of FAIR Guiding Principles is presented.The investigation also includes an analysis of the domains in the IFDS Implementation Networks(INs).Its uptake has been mainly in the Western hemisphere.The investigation found that implementation of FAIR Guiding Principles has taken firm hold in the domain of bio and natural sciences.To achieve a tipping point for FAIR implementation,it is now time to ensure the inclusion of non-European ascendants and of other scientific domains.Apart from equal opportunity and genuine global partnership issues,a permanent European bias poses challenges with regard to the representativeness and validity of data and could limit the potential of IFDS to reach across continental boundaries.The article concludes that,despite efforts to be inclusive,acceptance of the FAIR Guiding Principles and IFDS in different scientific communities is limited and there is a need to act now to prevent dampening of the momentum in the development and implementation of the IFDS.It is further concluded that policy entrepreneurs and the GO FAIR INs may contribute to making the FAIR Guiding Principles more flexible in including different research epistemologies,especially through its GO CHANGE pillar.

TuLP: A Family of Lightweight Message Authentication Codes for Body Sensor Networks

A wireless sensor network （WSN） commonly whilst a body sensor network （BSN） must be secured with requires lower level security for public information gathering, strong authenticity to protect personal health information. In this paper, some practical problems with the message authentication codes （MACs）, which were proposed in the popular security architectures for WSNs, are reconsidered. The analysis shows that the recommended MACs for WSNs, e.g., CBC- MAC （TinySec）, OCB-MAC （MiniSec）, and XCBC-MAC （SenSee）, might not be exactly suitable for BSNs. Particularly an existential forgery attack is elaborated on XCBC-MAC. Considering the hardware limitations of BSNs, we propose a new family of tunable lightweight MAC based on the PRESENT block cipher. The first scheme, which is named TukP, is a new lightweight MAC with 64-bit output range. The second scheme, which is named TuLP-128, is a 128-bit variant which provides a higher resistance against internal collisions. Compared with the existing schemes, our lightweight MACs are both time and resource efficient on hardware-constrained devices.

The Application of Cellular Neural Networks for Solving Partial Differential Equations

The application of cellular neural networks (CNN) for solving partial differential equations (PDEs) is investigated in this paper. Two kinds of the PDEs , the heat conduction equation and Poisson's equation,are considered to be typical examples. They can be computed in real time by using the CNN ,while the CNN' s hardware is implemented by the integrated OP AMP . The experimental results show that the hardware performence is in agreement with that given by the computer simulation. Therefore,the CNN is a new powerful tool for solving PDEs.

FAIR Practices in Africa

This article investigates expansion of the Internet of FAIR Data and Services(IFDS)to Africa,through the three GO FAIR pillars:GO CHANGE,GO BUILD and GO TRAIN.Introduction of the IFDS in Africa has a focus on digital health.Two examples of introducing FAIR are compared:a regional initiative for digital health by governments in the East Africa Community(EAC)and an initiative by a local health provider(Solidarmed)in collaboration with Great Zimbabwe University in Zimbabwe.The obstacles to introducing FAIR are identified as underrepresentation of data from Africa in IFDS at this moment,the lack of explicit recognition of situational context of research in FAIR at present and the lack of acceptability of FAIR as a foreign and European invention which affects acceptance.It is envisaged that FAIR has an important contribution to solve fragmentation in digital health in Africa,and that any obstacles concerning African participation,context relevance and acceptance of IFDS need to be removed.This will require involvement of African researchers and ICT-developers so that it is driven by local ownership.Assessment of ecological validity in FAIR principles would ensure that the context specificity of research is reflected in the FAIR principles.This will help enhance the acceptance of the FAIR Guidelines in Africa and will help strengthen digital health research and services.