5-32 Network Communicating between IPC and Multimeter Based on LabView

The output stability of power supply for Heavy Ion Research Facility of Lanzhou (HIRFL) is signicant. Powersupply provides currents to magnets which produce the magnetic eld to constraint particles. So the output stabilityof power supply has a great signicance to the quality of beams. In order to test the stability of power supply, weuse a Fluke 8846A digit precision multimeter based on LabView platform of National Instrument Corporation.Remote operation of 8846A Digital Multimeter from a host, that is a terminal, controller, PC, or computer, isaccomplished by sending commands to it through one of its remote interfaces. The Multimeter is controlled remotelyusing Standard Commands for Programmable Instruments (SCPI), Fluke 45 or Fluke 8842A (8840A and 8842A)commands. The meter can be remotely controlled through the LAN port on the Meter's rear panel[1] We can sendSCPI commands to the Meter using network communicating controls provided by LabView[2]. This program couldbe used to test output stability of power supply of HIRFL.

Towards a Dynamic Virtual IoT Network Based on User Requirements

The data being generated by the Internet of Things needs to be stored,monitored,and analyzed for maximum IoT resource utilization.Software Defined Networking has been extensively utilized to address issues such as heterogeneity and scalability.However,for small-scale IoT application,sometimes it is considered an inefficient approach.This paper proposes an alternate lightweight mechanism to the design and implementation of a dynamic virtual network based on user requirements.The key idea is to provide users a virtual interface that enables them to reconfigure the communication flow between the sensors and actuators at runtime.The throughput of the communication flow depends on the data traffic load and optimal routing.Users can reconfigure the communication flow,and virtual agents find the optimal route to handle the traffic load.The virtual network provides a user-friendly interface to allow physical devices to be mapped with the corresponding virtual agents.The proposed network is applicable for all systems that lie in the Internet of Things domain.Results conclude that the proposed network is efficient,reliable,and responsive to network reconfiguration at runtime.

An IPC-based Prolog design pattern for integrating backward chaining inference into applications or embedded systems

Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.