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

E-VOTING is a term used to encompass the various techniques applied, through which the electorate or voters can express their intentions electronically. It entails the use of electronic voting equipment, phones, Personal Data Assistants (PDA), online voting etc. The adoption of e-governance strategy in electioneering processes (using Nigeria context- 36 states) will effectively reduce cost as well as enhancing election activities. What makes an e-voting model acceptable is its ability to properly authenticate voters and provide a secure means through which a voter can express his/her franchise. Adopting biometrics authentication is regarded as an effective method for automatically recognizing, with a high confidence, a person’s identity. This paper therefore, proposes Self-Monitoring Analysis and Reporting E-Voting Simulation Model (SMARESiM), a design model of an evoting system leveraging on Biometric Encryption (BE) viz Biometric key Binding (BKB) which is a secured strategy that entails fusing of biometrics with cryptographic schemes. The main objective of this research is to improve on the already existing E-voting models by fusing and adopting biometric and cryptographic techniques as well as using a secure transmission channel for confidential datasets of a voting process. This work develops a simulation model of an E-voting system which adopts relevant algorithms and mathematical equations with emphasis on biometric security schemes. The simulation of a prototype model of the electronic voting system would be developed using Proteus 7.6 application software (a simulation model). Relevant algorithms and flow models are presented while developing the SMARESiM with PROTEUS ISIS coded in Assembly Language. The prototype model would consist of electronic kiosk polling booths (two e-booths) that are all networked to the state electoral collection center and two state collection centers (in this model) are networked to the national electoral collection center via a VPN backbone. The proposed SMARESiM uses a Virtual Private Network (VPN) as the means of communication between the various polling booths and collection points. The VPN platform provides a fast, safe and reliable means of transmitting data over the internet. The results of validation show that the proposed model facilitates the adoption of E-governance in the developing countries.

SMARESiM: AN IMPROVED MODEL OF E-VOTING SYSTEM BASED ON BIOMETRIC KEY BINDING

As a result of telecommunication poor Quality of Service (QoS) in Nigeria with respect to voice ,data and video services, several works have been carried out using approaches such as drive test, survey design with statistical computation techniques, modeling simulation, etc. These have been employed to carry out comprehensive evaluation and optimization of Quality of Service (QoS) of Mobile Cellular Networks in Nigeria. In this context, there are five major Key Performance Indices (KPIs) which are usually considered for the evaluation, viz: Call Setup Success Rate (CSSR), Call Completion Rate (CCR), Call Drop Rate (CDR), Call Handover Success Rate (CHSR) and Standalone Dedicated Control Channel (SDCCH). In this paper, following data collated from a recently conducted drive test KPIs, we leveraged software engineering SDLC concepts, particularly using JAVA programming language to develop an optimization drive test plant for improving QoS thresholds by service providers. A test dataset for the months of April and March 2012 was used in the drive test plant design. In this regard, the raw data set, the optimized dataset and the normalized data sets were shown in the drive test plant. Relevant flowcharts were developed and discussed in the context of the drive test plant. This work argued that with the drive test plant properly integrated into the vendors Mobile Switching Centers (MSC), the QoS thresholds by NCC will be satisfied. Consequently, this work calls for a mobile community driven responses while future work will focus on integration validations necessary to boost the performance of the KPIs in order to guarantee a better Quality of Service. Keywords : Quality of Service, Cellular, Networks, Software Engineering, Thresholds, Validations, Optimization.

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Using Software Engineering Approach in Mitigating QoS Challenges in Mobile Communication Networks in Nigeria

The swiftly growing urban population of Nigeria is generating lots of tension in the cities in line with the rapid increase of vehicles. This is due to hitherto reliance on the present parking system which has no standard to check for parking spaces, hence generating problems such as traffic congestion, time wastage in search of parking slot, fuel consumption/CO emission, insecurity of vehicles etc. This work presents a quantitative statistical survey analysis conducted in selected metropolitan cities in Port Harcourt, Nigeria. The aim is to create awareness on Smart Car Parking System (SCPS) for heterogeneous clustered environments. The results of the conducted analysis showed that the awareness of this innovative technology is still at its tender stage in Nigeria. Findings shows that people are willing to adopt this new technology to assist in overcoming the challenges faced in the present parking system that is unstructured. A brief description of proposed SCPS based on Big data hardware is presented.

Awareness Analysis of Smart Car Parking System in Heterogeneous High Density Clusters

A robotic expert system (RES) for energy management (EM) in community-based micro-grids is developed using a fuzzy computational scheme. Within the micro-grid multi-dimensional space, embedded algorithms for residential homes, sectors and central controller units are introduced to perform EM in a collaborative manner. Demand response and load shedding are carried out within the community micro-grid to ascertain the behavioral responses based on changes in power demand levels. Various tests are carried out with an observable low error margin. It was observed that the system reduced the total power demand on the micro-grid by 20% of the total distributed power. Micro-grid RES, neuro-fuzzy control (NFC), and support vector regression (SVR) evaluations are compared considering the home units at 40kW of the generated capacity. The results gave a 35.79%, 31.58% and 32.63% energy demand, respectively. Consequently, RES provides a grid look-ahead prediction, annotated-self healing, and stability restoration.

Robotic Expert System for Energy Management in Distributed Grid Ecosystem

AbstractApplying Artificial intelligence tool in dissecting criminal networks is imperative for forensic criminal investigation and prediction. The first step is to identify the hidden links consisting of criminal states (CS), Active Internal Communications (AIC), time frame of attack (TFoA), and the mapped states (MS). Unfortunately, existing strategies lack the computational capacity for predictive intelligence and do not have immediate cover in existing security architectures. Motivated by this, the contributions of this paper are fourfold. First, the prediction of AIC. Second, we determined HLs new information about entities within the network which include: affiliation of the suspected individual with a network; crime characteristics; criminal trends, and/or plans in the global network. Third, Hidden Markov Model (HMM) is introduced to harness key features of CNs while predicting the probable state and timeframe of occurrence of criminal attacks. It is equally applied in determining the most probable sequence of attack vectors/payloads. The parameters are determined for parametric modeling. Fourth, using Baum-Welch Technique (BWT), the obtained parameters are optimized. The result shows that the Foot Soldiers (FS) are most vulnerable with 90% involvement in criminal attacks; the Commander carried out most strategic (high profile) attacks estimated at 2.2%. The private citizens and properties had the highest attack targets (50.6%); whereas the police and military base had 12.3% and 6.7% respectively. The results show that Boko-Haram carried out the greatest level of attacks at 79.2% while Fulani extremists are responsible for 20.8% of all acts of terrorism in Nigeria from 2010 to date.KeywordsArtificial intelligenceAttack payloadBaum-Welch techniqueCriminal network modelComputational intelligencePredictive analytics 

Kennedy Chinedu Okafor

Papers

SMARESiM: AN IMPROVED MODEL OF E-VOTING SYSTEM BASED ON BIOMETRIC KEY BINDING

Using Software Engineering Approach in Mitigating QoS Challenges in Mobile Communication Networks in Nigeria

Awareness Analysis of Smart Car Parking System in Heterogeneous High Density Clusters

Robotic Expert System for Energy Management in Distributed Grid Ecosystem

Predictive Forensic Based—Characterization of Hidden Elements in Criminal Networks Using Baum-Welch Optimization Technique