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

Attacks on airport information network services in the form of Denial of Service (DoS), Distributed DoS (DDoS), and hijacking are the most effective schemes mostly explored by cyber terrorists in the aviation industry running Mission Critical Services (MCSs). This work presents a case for Airport Information Resource Management Systems (AIRMS) which is a cloud based platform proposed for the Nigerian aviation industry. Granting that AIRMS is susceptible to DoS attacks, there is need to develop a robust counter security network model aimed at pre-empting such attacks and subsequently mitigating the vulnerability in such networks. Existing works in literature regarding cyber security DoS and other schemes have not explored embedded Stateful Packet Inspection (SPI) based on OpenFlow Application Centric Infrastructure (OACI) for securing critical network assets. As such, SPI-OACI was proposed to address the challenge of Vulnerability Bandwidth Depletion DDoS Attacks (VBDDA). A characterization of the Cisco 9000 router firewall as an embedded network device with support for Virtual DDoS protection was carried out in the AIRMS threat mitigation design. Afterwards, the mitigation procedure and the initial phase of the design with Riverbed modeler software were realized. For the security Quality of Service (QoS) profiling, the system response metrics (i.e. SPI-OACI delay, throughput and utilization) in cloud based network were analyzed only for normal traffic flows. The work concludes by offering practical suggestion for securing similar enterprise management systems running on cloud infrastructure against cyber terrorists.

Security QoS profiling against cyber terrorism in airport network systems

During heavy traffic transactions on a network, there is an extreme impact on network resources such as bare metals, routers, I/Os, enterprise applications and services The arrival rates usually exceed service rates despite Ethernet TCP windowing and layer-3 fair queuing This is unacceptable in Osmotic computing paradigm which houses machine to machine cloud elasticity especially for IoT plug and play edge devices This research proposes Fog and server consolidation (SC) in distributed high performance data centers (D-HPDCs) as a middleware solution to solve the problem A candidate scheme called green virtualization is used to share the capabilities of physical servers (bare metals) by splitting resources among operating systems that host an on-demand smart grid application AType-I virtual machine hypervisor is used to mitigate the various pitfalls in legacy datacenters (DCs) such as resource availability, query response time, scalability and network quality of service (QoS) MATLAB SimEvent simulation is used to realize a case-based Branch-and-Bound heuristics as an optimization scheme in the green virtualized DC Within the elasticity zone, performance evaluation between Type-I virtualized and non-virtualized DC is carried out The benefits of virtualized DCs using cloud elasticity design framework is highlighted The results showed that the Type-1 virtualized DC scenario had better QoS performance metrics compared with the non-virtualized DC Consequently, SC using virtualization is shown to be efficient for supporting multi-constrained DC environments

Evaluation of virtualized osmotic cloud network using discrete event Branch-and-Bound heuristics

Game theory has been used over the years in areas involving competition such as marketing, auction, gambling etc. The concept of game theory has found application in security domains and is usually called security games. This paper proposes a Linear programming model for solving a game problem that involves the interaction of an attacker (zombie) and a defender (firewall) during a distributed denial of service attack (DDoS). It also presents two algorithms that are used to form the mitigation perimeter firewall against DDoS attack on web servers (Anti-DDoS firewall). In a DDoS attack scenario, the players (zombie and firewall) are competing for greater share of a resource of the network. An attack occurs when the zombies flood the link in such a way that legitimate users are denied access to a target resource on the network. This paper presents a game model solved using linear programming that provides the best strategy for the defender by reducing rogue packets that seek to flood the bandwidth of the network. Our model is validated using defined numbers in the pay-off matrix. Solving the matrix using the model approach shows that both the row and the column sum equal one. The output of the model presents probabilistic values that are related to specific actions to be taken by the defender. Two mitigation scripts where presented that makes use of maximum number of connection and sending rate to monitor traffic targeting the web port 80/443. It is clearly observed from extensive simulation on a test bed that using linear programming to model the network behavior and setting the mitigation script with the highest value of the game matrix solution, a better pay-off is obtained by the firewall.

Anti-DDoS firewall; A zero-sum mitigation game model for distributed denial of service attack using Linear programming

Smart deployment of IoT-TelosB service care StreamRobot using software-defined reliability optimisation design

Background/Objectives: The absence of cloud based deterministic energy consumption update information usually discourages electricity consumers from satisfying their obligations to energy service providers. This work aims at achieving cloud based demand side management on consumer smart meters. Methods/Analysis: Disruptive smart green energy management system (DSGEMS) is used to formulate new 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. Findings: The system created a pattern analytics that allows users to obtain exact consumption pattern daily, monthly and yearly, using a negligible cost reflective tariff of 0.17 as derived from a renewable metered micro-grid. Applications/Improvements: The proposed system contrasts with existing systems in terms of full ISO 14000 quality of service compliance metrics and on-demand/real time consumption profiling. To validate service provisioning in real time, metering simulation and cloud integration are employed. This solution provides real-time access to energy consumption information at the point of metering leveraging cloud driven internet. 
Keywords: Cloud Service Provisioning, Disruptive Technologies, Energy Analytics, Energy Management, Smart Metering

Kennedy Chinedu Okafor

Papers

Security QoS profiling against cyber terrorism in airport network systems

Evaluation of virtualized osmotic cloud network using discrete event Branch-and-Bound heuristics

Anti-DDoS firewall; A zero-sum mitigation game model for distributed denial of service attack using Linear programming

Smart deployment of IoT-TelosB service care StreamRobot using software-defined reliability optimisation design

Enterprise Energy Analytic Cloud Metering Portal for On-Demand Service Provisoning