Integration Of Intelligent Systems Research Articles

A Framework for Traffic Planning and Forecasting using Micro-Simulation Calibrations

This paper presents the application of micro-simulation for traffic planning and forecasting, and proposes a new framework to model complex traffic conditions by calibrating and adjusting traffic parameters of a micro-simulation model. By using an open source micro-simulator package, TRANSIMS, in this study, animated and numerical results were produced and analysed. The framework of traffic model calibration was evaluated for its usefulness and practicality. Finally, we discuss future applications such as providing end users with real time traffic information through Intelligent Transport System (ITS) integration.

Intelligent Methods in Modelling and Simulation of Complex Systems

Data mining with a multitude of methodologies is a good basis for the integration of intelligent systems. Small, specialised systems have a large number of feasible solutions, but developing truly adaptive, and still understandable, systems for highly complex systems require domain expertise and more compact approaches at the basic level. This paper focuses on the integration of methodologies in the smart adaptive applications. Statistical methods and arti cial neural networks form a good basis for the data-driven analysis of interactions and fuzzy logic introduces solutions for knowledge-based understanding the system behaviour and the meaning of variable levels. Efficient normalisation, scaling and decomposition approaches are the key methodologies in developing large-scale applications. Linguistic equation (LE) approach originating from fuzzy logic is an efficient technique for these problems. The nonlinear scaling methodology based on advanced statistical analysis is the corner stone in representing the variable meanings in a compact way to introduce intelligent indices for control and diagnostics. The new constraint handling together with generalised norms and moments facilitates recursive parameter estimation approaches for the adaptive scaling. Well-known linear methodologies are used for the steady state, dynamic and case-based modelling in connection with the cascade and interactive structures in building complex large scale applications. To achieve insight and robustness the parameters are de ned separately for the scaling and the interactions. Introduction EK Juuso Intelligent Methods in Modelling and Simulation of Complex Systems 2 SNE 24(1) – 4/2014 ON 1 Steady-State Modelling multiple input, multiple output MIMO response surface methodology RSM multiple input, single output MISO Fuzzy set theory Extension principle Type-2 fuzzy Figure 1: Methodologies for modelling of complex system. EK Juuso Intelligent Method of Modelling and Simulation in Complex Systems SNE 24(1) – 4/2014 3 O N Linguistic fuzzy models Takagi-Sugeno (TS) fuzzy models Singleton models Fuzzy relational models Figure 2: Combined fuzzy modelling. Artificial neural networks ANN Linear networks multilayer perceptron MLP backpropagation learning Neurofuzzy systems Figure 3: A fuzzy neuron. function expansion Approximate reasoning 2 Decomposition Methodologies EK Juuso Intelligent Methods in Modelling and Simulation of Complex Systems 4 SNE 24(1) – 4/2014 ON Decomposition Figure 4: Decomposition for modelling. Hierarchical clustering Partitioning-based clustering algorithms fuzzy clustering Fuzzy c-means (FCM) Subtractive clustering Neural clustering Robust clustering number of clusters Composite local model Linear parameter varying (LPV) models Piecewise affine (PWA) systems Fuzzy models Multiple neural network systems mixed approach EK Juuso Intelligent Method of Modelling and Simulation in Complex Systems SNE 24(1) – 4/2014 5 O N 3 Adaptive Nonlinear Scaling Membership 3.1 Working point and feasible ranges Figure 5: Nonlinear scaling [28] EK Juuso Intelligent Methods in Modelling and Simulation of Complex Systems 6 SNE 24(1) – 4/2014 ON 3.2 Membership definitions linguistic range linguistic values • the corner points (Figure 5) are good for visualisation; • the parameters suit for tuning; • the coefficients are used in the calculations. 3.3 Adaptation of nonlinear scaling EK Juuso Intelligent Method of Modelling and Simulation in Complex Systems SNE 24(1) – 4/2014 7 O N 4 Intelligent Systems 4.1 LE models 4.2 Hybrid LE systems EK Juuso Intelligent Methods in Modelling and Simulation of Complex Systems 8 SNE 24(1) – 4/2014 ON extension principle linguistification

Mobile Monitoring and Embedded Control System for Factory Environment

This paper proposes a real-time method to carry out the monitoring of factory zone temperatures, humidity and air quality using smart phones. At the same time, the system detects possible flames, and analyzes and monitors electrical load. The monitoring also includes detecting the vibrations of operating machinery in the factory area. The research proposes using ZigBee and Wi-Fi protocol intelligent monitoring system integration within the entire plant framework. The sensors on the factory site deliver messages and real-time sensing data to an integrated embedded systems via the ZigBee protocol. The integrated embedded system is built by the open-source 32-bit ARM (Advanced RISC Machine) core Arduino Due module, where the network control codes are built in for the ARM chipset integrated controller. The intelligent integrated controller is able to instantly provide numerical analysis results according to the received data from the ZigBee sensors. The Android APP and web-based platform are used to show measurement results. The built-up system will transfer these results to a specified cloud device using the TCP/IP protocol. Finally, the Fast Fourier Transform (FFT) approach is used to analyze the power loads in the factory zones. Moreover, Near Field Communication (NFC) technology is used to carry out the actual electricity load experiments using smart phones.

Research on Network NC Manufacturing Based on Internet

The paper introduced the method and technology of how to implement a Integrated Manufacturing, each CNC machining equipment is equipped with a special communication unit, each communication unit are directly connected with the DNC main control computers on the Internet, effect of special communication unit is mainly data buffer and protocol conversion, the TCP/IP protocol is used between communication unit and DNC main control Internet computer, and used serial communication protocol communication between communication unit and NC equipment. Using this technology, all kinds of CNC machining equipment and DNC system can be easily with the CAD/CAM/CAE system, digital profile measurement system, fault diagnosis and error compensation of intelligent system integration, providing good technical conditions for further information of various advanced manufacturing environment integration.

Mobile Device Monitoring System in the Plant by an Innovative Approach

This This paper proposed method is to use a Smart phone in the real - time situation to carry out monitoring and controlling factory zone temperature, humidity, air quality, flame detection, staff not near the danger zone detection and electrical load analysis. The monitoring range also includes operating machine vibration detection in the factory area, so these methods are innovative research. Our research proposes the integration of ZigBee and Wi-Fi protocol intelligent monitoring system within the framework of the entire plant. The factory sensor using the ZigBee protocol to deliver the message, and real-time sensing data is sent to our integrated embedded systems. Our paper presents an integrated embedded systems using the open-source Arduino DUE module, which is a 32-bit ARM core. Our study proposed a way that writes the network code to ARM chipset become integrated controller. The intelligent integrated controller will instantly analytical processing by the ZigBee sensor pass to the message. Simultaneously this study using Android APP and web-based methods to show the measurement results. The web-based and Android APP approaches will transfer these results to specify the cloud device by way of the TCP / IP protocol. Finally, this paper utilizes FFT (Fast Fourier Transform) approach to analysis of power loads in the factory zones. Simultaneously this study also uses NFC (Near Field Communication) technology to carry out the actual measurement of the total electricity load experiments by smart phones.

Employing Remote Mobile Scheme to Control Work Area via an Integrated Wireless Network

This paper proposed method is to use a Smart phone in the real - time situation to carry out monitoring and controlling factory zone temperature, humidity, carbon dioxide concentration, the flame sensor. The size of the operation of the machine vibration frequency, butalso through smart phones to monitor and control, these methods are innovative research. Our research proposes the integration of ZigBee and Wi-Fi protocol intelligent monitoring system within the framework of the entire plant. The factory sensor using the ZigBee protocol to deliver the message, and real-time sensing data is sent to our integrated embedded systems. Our paper presents an integrated embedded systems using the open-source Arduino DUE module, which is a 32-bit ARM core. Our study proposed a way that writes the network code to ARM chipset become integrated controller. The intelligent integrated controller will instantly analytical processing by the ZigBee sensor pass to the message. Simultaneously using Web-Based method to show the measurement results. The Web-Based approach will transfer these results to specify the cloud device by way of the TCP / IP protocol. These cloud devices include all smartphone and Tablet PC, our system can support a variety of OS platforms, without any restrictions and compatibility issues, and this is our intelligent monitoringsystem innovation.

Operational Value and Accessibility of Services in SOA-based Intelligence Information Systems

The concept of Service-Oriented Architecture (SOA) can be used as a foundation for establishing an integrated Intelligence System, which would be based on services as software components. It offers better coordination among institutions involved in intelligence, thus providing increase of intelligence effectiveness. In this article, the central focus is placed on determining measurement tools that allow evaluation of the service’s potential within an Intelligence Information System (IIS). The defined metrics’ aim is to estimate the accessibility status of services in IIS, thus facilitating the decision-making process prior to initializing a request for intelligence data gathering. Taking into account the individual service characteristics of reliability and cost, we gain additional insight into both momentary and periodic, weighted accessibility status of the system. By employing these estimations we hope to enhance our ability to understand, and consequently control and improve the results produced by our IIS.

Intelligent Radioactive Waste Management Platform for Radioactive Waste Storage Facilities

Radioactive waste management is now a much discussed public issue, especially since the Taiwanese government announced that three operating nuclear power plants will be decommissioned on schedule. Safe, efficient, reliable, and sustainable solutions to the management of radioactive wastes are critical to the feasibility of the nuclear decommissioning project. Because of the lack of system integration within radioactive waste storage facilities, most of the radioactive waste information systems remain inconsistent. Therefore, the establishment of an intelligent integrated system that provides active assistance in tracing the processes of radioactive wastes is urgent.This study is based on the technology of radio frequency identification for detection of radioactive waste locations. An automatic identification mechanism can monitor the status of storage and instantly notify the relevant parties. Meanwhile, this platform also employs the software agent as the infrastructure to construct the integrated information system architecture; the software agent has been widely accepted as an effective method to integrate heterogeneous systems of the new paradigm. The overall framework will help enhance the monitoring performance for radioactive waste.

Coke Oven Intelligent Integrated Control System

In order to improve the level of management and control of coke oven, the research on intelligent integrated control system is carried out. In modern advanced control system of coke oven, the control scheme of feedback combined with feed-forward, and control merged with management are widely utilized. The integrated management and control system of coke oven is introduced systematically, including the system model, production plan and management, heating control system, the model and method of evaluating temperature, intelligent combustion control and the pressure control gas collector of coke oven. It is pointed out that the integration of management and control develops towards the orientation of coke oven control system. Considering the complexity and importance of flue temperature control in coke oven heating process, the control method of combining the stopping heating time control with the heating gas flow adjustment is proposed, hybrid intelligent control models of flue temperature are built.

智能一体化电源系统一点认识和建议

智能一体化的电源系统，能够有效的实现网络通信、监控、系统联动等细节一体化的运作。通过介绍站用电源交直流一体化系统，提出变电站站用交直流一体化电源的解决方案，结合实际应用，论述了一体化电源的认识和建议。 Intelligent integrated power system can effectively achieve the integration of the operation of network communication, monitoring, system integration and other details. This article proposes AC and DC power solutions for substation integration through introducing the AC-DC integrated power system of station power supply, and discusses the understanding of and suggestion for the integrated power by combining with the practical application.

Expert System for Designing Shaft-Bearing-Gear Transmission Assemblies

An Intelligent Integrated CAD system applied in mechanical engineering design for selection, calculation and design embodiment of shaft-bearing-gear is presented in the paper. The CAD activities in correlation with the expert system are defined according to a given expertise domain, design of mechanical systems, which is supposed to take into account and operate with two information type: knowledge and data. Final results and concrete example are performed using CAD/CAE/CAM software, CATIA environment. Knowledge and databases processing for application presented in this paper use specific programming environment expert systems, Prolog – Flex. For user interface Visual Basic programming language is used, and Excel for data and knowledge base, which integrated in CATIA environment. Data transmission between the two performance programs CATIA and Prolog is made through the Excel files

Smart City Development Level Assessment for Tianjin Using AHP and Gray Comprehensive Evaluation

The principle character of smart city is not only show up as information technology and the internet of things, but also more emphasis on the coordination development of intelligent integration system for information, innovation and society resources. Based on above studies, this paper proposes comprehensive evaluation model on smart city development level for Tianjin. The Multi-level index system is established with three dimensional goals, including development level of informatization, innovation capability and resource utilization. Afterwards, the weightiness of index is determined by the way of AHP, and the gray comprehensive evaluation method is used to analysis the smart city level of Tianjin and attempt to provide a few suggestions. The result shows that the proposed algorithm is effective.

The Application of Committee Machine With Intelligent Systems to the Prediction of Permeability From Petrographic Image Analysis and Well Logs Data: A Case Study From the South Pars Gas Field, South Iran

Permeability is the ability of porous rock to transmit fluids. An accurate knowledge of reservoir permeability is necessary for reservoir management and development. This study presents an improved model based on the integration of petrographic data, conventional logs, and intelligent systems to predict permeability. Petrographic image analysis was employed to measure the optical porosity, pore types, pore morphologies, mineralogy, amount of cement, and type of texture. Available conventional log measurements include bulk density, neutron porosity, and natural gamma ray. The permeability was first predicted using the individual intelligent systems including a neural network (NN), a fuzzy logic (FL), and a neuro-fuzzy (NF) model. Afterwards, two types of committee machine with intelligent systems (CMIS) were used to combine the permeability values calculated from the individual intelligent systems: simple averaging and weighted averaging. In the weighted averaging, a genetic algorithm model was employed to obtain the optimal contribution of each expert. The results show that both of the CMIS performed better than NN, FL, and NF models acting alone.

Integration of ANFIS, NN and GA to determine core porosity and permeability from conventional well log data

Routine core analysis provides useful information for petrophysical study of the hydrocarbon reservoirs. Effective porosity and fluid conductivity (permeability) could be obtained from core analysis in laboratory. Coring hydrocarbon bearing intervals and analysis of obtained cores in laboratory is expensive and time consuming. In this study an improved method to make a quantitative correlation between porosity and permeability obtained from core and conventional well log data by integration of different artificial intelligent systems is proposed. The proposed method combines the results of adaptive neuro-fuzzy inference system (ANFIS) and neural network (NN) algorithms for overall estimation of core data from conventional well log data. These methods multiply the output of each algorithm with a weight factor. Simple averaging and weighted averaging were used for determining the weight factors. In the weighted averaging method the genetic algorithm (GA) is used to determine the weight factors. The overall algorithm was applied in one of SW Iran?s oil fields with two cored wells. One-third of all data were used as the test dataset and the rest of them were used for training the networks. Results show that the output of the GA averaging method provided the best mean square error and also the best correlation coefficient with real core data.

A Method for Knowledge Reasoning of Mechanical Product Intelligent Design Using Information Entropy

Because of the universality, complexity and uncertainty of mechanical design knowledge, knowledge reasoning and integration of intelligent design system was one of the difficult problems. The valuation of weight by human was used in many methods for knowledge reasoning at present. In order to make the intelligent product design become more scientific and rational, and eliminate the subjective human factors, a method for reasoning using information entropy was proposed. First, by means of the advantage of the relational database include the redundancy, consistency and integrity, the mechanical product design knowledge base was established. Second, based on the information entropy theory, the weight of each attribute was calculated directly through the objective information. Third, based on the objective data in the original sample, the method for calculating the similarity between accurate attributes and uncertainty attributes and design schemes was given. Finally, this method was verified by fruit picking robot intelligent design system, and the result showed that it is objective and effective.

A Study on Robot Technologies Used in Intelligent Systems with Nanotechnology Perspective

In this research the robot technologies used in the integration of intelligent systems of the nanotechnology have been studied in 3 chapters: According to this research, various examples have been given 1 for the robot systems with human characteristics, 2 for robotizing of other organic living organisms, 3 for robot systems designed for other materials and the purpose used in different areas of the robot systems that are mentioned in the perspective of the human-computer interaction have been discussed.

Development of Cloud Computing Based Intelligent Integrated Manufacturing System

A cloud computing based intelligent integrated manufacturing system was proposed. In order to develop an intelligent integrated manufacturing system, it is necessary to build up many database servers, which makes the system very expensive. To overcome this problem, we developed a cloud computing based system for quality analysis of the intelligent integrated manufacturing system. The architecture of the system contains: i) Cloud database structure; ii) Quality analysis engine; iii) Real-time human-machine interface. We use Microsoft SQL Azure as the cloud database to scatter and store data on redundant disk arrays. The quality analysis engine contains 12 quality input factors and 16 prediction outputs. It is used to predict manufacturing quality using neural networks. ASP.NET was used to program a human-machine interface with real-time data updating, providing a real-time data display available anytime, anywhere through the interface. Through experiments we found that that by using many database servers, improvement in a general traditional manufacturing system can be realized. The proven advantages of low cost, performance scalability, mobile management and maintenance facilities, make it important to develop a cloud computing based intelligent integrated manufacturing system using the analysis engine to predict manufacturing quality.

Advanced formation and delivery of traffic information in intelligent transportation systems

To meet the safety requirement for the increasing traffic densities nowadays, there exists a growing demand for advanced systems that can provide drivers essential traffic and travel information to improve road safety and traffic efficiency. In this paper, we combine the video analysis and multimedia networking technologies to present a highly integrated intelligent system that can achieve the above goals. For traffic information, the system presented in this paper collects traffic parameters and detects relevant events by analyzing traffic surveillance videos. Through robust tracking algorithms and reasoning logics, important traffic parameters and events are extracted from the surveillance videos accurately. Afterwards, summarized real-time traffic conditions and important events along with corresponding live traffic videos are formed into layers and multicasted through an integration of WiMAX infrastructure and vehicular ad hoc networks (VANET). By the support of adaptive modulation and coding in WiMAX, the radio resources can be optimally allocated when performing multicast so as to dynamically adjust the number of data layers received by users. In addition to multicast supported by WiMAX, we also design a knowledge propagation and information relay scheme by VANET. Through this relaying technology, about 80% of the mobile stations that were unable to subscribe additional layers of data due to insufficient downlink bandwidth from WiMAX could regain more than 90% of the data in the additional layers within tolerable buffering time.

Intelligente Kameras in der Messtechnik

Due to their reconfigurability and sensor-near signal processing, smart cameras are ideally suited for applications in optical metrology. This article describes ongoing research activities in this area and demonstrates the efficient implementation of complex algorithms on limited hardware through intelligent systems integration. This enables the realization of fast wavefront-sensors for adaptive optics and real-time strain sensors based on speckle-metrology.

Design of Smart Home Network System based on ZigBee Topology

Smart home System is shirt-sleeve, the automatic control systems, computer network system and network communication technology in the integration of network intelligent home control system. Intelligent household will let users have a more convenient means to management of domestic equipment, for example, through the house, wireless remote control, touch screen phone and Internet or speech recognition control household devices, more can perform scene operation, make more equipment form linkage. In this paper, we propose the intelligent household various kinds of equipment within each other can communication, do not need to user command according to different state interactive operation, thus to bring the greatest degree of user efficient and convenient, comfortable and safe.