Preface. Automatic Train Operation System by Predictive Fuzzy Control (S. Yasunobu, S. Miyamoto). Application of Fuzzy Reasoning to the Water Purification Process (O. Yagashita, O. Itoh, M. Sugeno). The Application of a Fuzzy Controller to the Control of a Multi-Degree-of-Freedom Robot Arm (E.M. Scharf, N.J. Mandic). Optimizing Control of a Diesel Engine (Y. Murayama et al.). Development of Performance Adaptive Fuzzy Controllers with Application to Continuous Casting Plants (G. Bartolini et al.). A Fuzzy Logic Controller for Aircraft Flight Control (L.I. Larkin). Automobile Speed Control System Using a Fuzzy Logic Controller (S. Murakami, M. Maeda). An Experimental Study on Fuzzy Parking Control Using a Model Car (M. Sugeno, K. Murakami). A Fuzzy Controller in Turning Process Automation (Y. Sakai, K. Ohkusa). Design of Fuzzy Control Algorithms with the Aid of Fuzzy Models (W. Pedrycz). Human Operator's Fuzzy Model in Man-Machine System with a Nonlinear Controlled Object (K. Matsushima, H. Sugiyama). The Influence of Some Parameters on the Accuracy of a Fuzzy Model (J.B. Kiszka, M.E. Kochanska, D.S. Sliwinska). A Microprocessor Based Fuzzy Controller for Industrial Purposes (T. Yamazaki, M. Sugeno). The Application of Fuzzy and Artificial Intelligence Methods in the Building of a Blast Furnace Smelting Process Model (H. Zhao, M. Ma). An Annotated Bibliography of Fuzzy Control (R.M. Tong).

Industrial applications of fuzzy control

This chapter explains the meaning of basic terms and concepts related to expert systems, describes the architecture and functions of an expert system, and the conditions under which the building or purchase of an expert system is feasible. The benefits and disadvantages attached to the use of expert systems will be analysed. Also included are a description of the tools and methods used for building expert systems plus the criteria used to evaluate and compare these tools. Finally the reader will gain an understanding of the difficult process of knowledge acquisition and an awareness of the legal implications of the use of expert systems.

Expert systems

A Review of Smart Parking System and its Technology

本发明公开了一种包括：电力线通信系统、可见光通信系统和再生式中继控制器，电力线通信系统包括：电力线，与电力线相连的耦合器，与耦合器相连的电力线通信接收端电路；可见光通信系统包括：发光器件，与发光器件相连的可见光通信发射端电路；再生式中继控制器的输入端与电力线通信接收端电路相连，输出端与可见光通信发射端电路相连，用于对电力线通信接收端电路输出的信号进行解调、调制后，输出给可见光通信发射端电路，以实现可见光通信技术与电力线通信的结合，从而大幅降低了投资成本，实现了资源的综合利用。

A communication system

Network devices have always been considered as configurable black boxes until the emergence of software-defined networking (SDN). SDN enables the networks to be programmed according to the user requirements; furthermore, it allows the network to be easily modified to suit transient demands. However, how do we program the network? SDN-compliant switches offer a low-level interface that makes programming error-prone. The controllers provide application programming interfaces, but still low-level, limited, and inflexible. High-level languages have the potential to be a better alternative to program the network. There exist several SDN programming languages implementing different sets of functionalities, and focusing on solving various issues. In face of all this diversity, no published paper outlines a pragmatic view allowing to compare the SDN languages. This paper presents a systematic survey of up-to-date OpenFlow-based SDN programming languages. Our approach relies on a taxonomy comprising all prominent features found in those languages. A detailed review of the existing works is carried out investigating the foundational parts of the languages with their contributions. Examples are discussed to illustrate the fundamental abstractions. Last, all gathered information is summarized, discussing the main ongoing research efforts and challenges. Future abstractions and features to be incorporated into the next generations of SDN programming languages are also considered.

A Survey on SDN Programming Languages: Toward a Taxonomy

Recently, large scale cyber physical systems (LS-CPS) leverage network-cores provided by application providers (APs) to carry out analytics. These CPS-APs uses the automated cloud to gather traffic...

Dynamic reliability modeling of cyber-physical edge computing network

Cloud data centers used for High Performance Computing (HPC) with volatile Internet of Things (IoT) devices absolutely requires zero-speed switching/low latency, normalized throughput, network stab...

Towards complex dynamic fog network orchestration using embedded neural switch

Automation of real time car parking system (RTCPS) using mobile cloud computing (MCC) and vehicular networking (VN) has given rise to a novel concept of integrated communication-computing platforms (ICCP). The aim of ICCP is to evolve an effective means of addressing challenges such as improper parking management scheme, traffic congestion in parking lots, insecurity of vehicles (safety applications), and other Infrastructure-to-Vehicle (I2V) services for providing data dissemination and content delivery services to connected Vehicular Clients (VCs). Edge (parking lot based) Fog computing (EFC) through road side sensor based monitoring is proposed to achieve ICCP. A real-time cloud to vehicular clients (VCs) in the context of smart car parking system (SCPS) which satisfies deterministic and non-deterministic constraints is introduced. Vehicular cloud computing (VCC) and intra-Edge-Fog node architecture is presented for ICCP. This is targeted at distributed mini-sized self-energized Fog nodes/data centers, placed between distributed remote cloud and VCs. The architecture processes data-disseminated real-time services to the connected VCs. The work built a prototype testbed comprising a black box PSU, Arduino IoT Duo, GH-311RT ultrasonic distance sensor and SHARP 2Y0A21 passive infrared sensor for vehicle detection; LinkSprite 2MP UART JPEG camera module, SD card module, RFID card reader, RDS3115 metal gear servo motors, FPM384 fingerprint scanner, GSM Module and a VCC web portal. The testbed functions at the edge of the vehicular network and is connected to the served VCs through Infrastructure-to-Vehicular (I2V) TCP/IP-based single-hop mobile links. This research seeks to facilitate urban renewal strategies and highlight the significance of ICCP prototype testbed. Open challenges and future research directions are discussed for an efficient VCC model which runs on networked fog centers (NetFCs).

Real time car parking system: A novel taxonomy for integrated vehicular computing

With the astronomical growth in online presence vis-a-vis the IT industry across the globe, there is an urgent need to evolve cloud based DataCenter architectures that can rapidly accommodate web application integrations which can serve the energy industries, educational sector, finance sector, manufacturing sector, etc. Previous works in DataCenter domain have not investigated on cloud based DataCenter Servercentric characteristics for evaluation studies. This paper then proposed a Reengineered DataCenter (R-DCN) architecture for efficient web application integration. In this regard, attempt was made to address network scalability, efficient and distributed routing, packets traffic control, and network security using analytical formulations and behavioural algorithms having considered some selected architectures. In this work a simulation experiment was carried out to study six key performance metrics for all the architectures. It was observed that the network throughput, fault-tolerance/network capacity, utilization, latency, service availability, scalability and clustering effects of R-DCN responses with respect to above Key Performance (KPIs) metrics were satisfactory when compared with BCube and DCell architectures. Future work will show a detailed validation using a cloud testbed and CloudSim Simulator.

Performance Analysis of R-DCN Architecture for Next Generation Web Application Integration

The absence of real time energy consumption information (RTECI) has often made electricity users in many developing countries to be at loggerheads with their service providers. A cloud based metering infrastructure is developed as a viable solution. This paper offers basic information regarding cloud based advanced metering infrastructure (AMI) for analysis in extended smart green energy management system (e-SGEMS). The system has novel flexibilities in automated energy monitoring platform for both end-users and their utility vendors. Lean system approach involving Software Development Life Cycle framework is applied. The system allows users to obtain their exact consumption pattern in Kw, Kw/Month and Kw/Year using a negligible cost reflective tariff of 0.17 as derived from a renewable metered micro-gird. The proposed system contrasts with existing systems in terms of full ISO 14000 quality assurance compliance metrics and on-demand/real time consumption profiling. MySQL and Java server page are used for the metering simulation and cloud integration. The hardware runs on C++ executable scripts. The system is validated through a full cycle usability tests in loaded and non-loaded case scenarios. This solution provides real-time access to energy consumption information at the point of metering in an access controlled cloud environment. Flexibility and cost effectiveness characterizes the system for smart grid mixed energy metering paradigm.

Kennedy Chinedu Okafor

Papers

Dynamic reliability modeling of cyber-physical edge computing network

Towards complex dynamic fog network orchestration using embedded neural switch

Real time car parking system: A novel taxonomy for integrated vehicular computing

Performance Analysis of R-DCN Architecture for Next Generation Web Application Integration

Enterprise energy analytic cloud portal for user-centric on-demand profile access in smart green energy management system