Intelligent Guidance Research Articles

Short-term Traffic Flow Prediction Based on Multivariable Phase Space Reconstruction and LSSVM

Real-time and accurate short-term traffic flow prediction is the premise and key of intelligent traffic control and guidance system. According to this problem, this paper put forward a prediction model based on multivariable phase space reconstruction and least squares support vector machine (LSSVM). First, the model confirms embedding dimension and delay time of the traffic flow, occupancy and average speed time series by analyzing their chaotic characteristics, and reconstructs multivariable state space. Second, the phase points obtained after reconstruction are as input, and the last traffic flow parameters came from the following phase points are as output. Finally, the LSSVM which be trained is adapted to realize short-term traffic flow prediction. This research compares this model with a model based on univariate phase space reconstruction and LSSVM, and the results show that the model proposed in this paper predicts better.

Research and Practice of Coal Adult Online Education Multimedia Platform

When Intelligent Guidance networked multimedia platform system, automatic answering system and the emergence of virtual personal space are found, It will help teachers to teach students learn better more easily. The introduction of digital signatures, certification and other e-commerce technology will improve the security of remote teaching system and realize the full operation of the virtual school. With the standardization of learning resources data, the platform will provide a better resource library management, effective organization and utilization of network resources for teaching and training services.

Innovative Applications and Security of Internet of Things

With the advances and falling cost of intelligent things like RFID/USN, sensor networks, NFC, ZigBee, smart phones, and other relevant technologies, the potential applications and implementations of Internet of things have been intensively studied by both the academia and the industry. One potential application is integrating social networks with IoT, which results in the social Internet of things (SIoT). This vision not only provides potential opportunities but also new challenges. Innovative application and security are two main issues toward this paradigm. This special issue includes five articles covering security issues, powermanagement issue, innovative applications, and integration with social informatics. The study “Framework for NFC-based intelligent agents: a context-awareness enabler for social Internet of things” proposes a framework for developing an NFC-enabled intelligent agent, which combines the NFC technique with context-acquisition, ontology-knowledgebase, and semanticadaptation modules, a credit-based incentive scheme to encourage social cooperation and to recommend relevant services. The resultant social-advertising system shows that this framework can support a wide range of different functionalities and is indispensable to an NFC-based intelligent agent for social Internet of things. The paper “Secure e-health system on passive RFID: outpatient clinic and emergency care” introduces a robust RFID-based e-health system which strengthens the system security, protects the patient’s privacy, and outperforms its counterparts in terms of efficiency. The paper “A case study on the power-aware protocol framework for wireless sensor networks” discusses the challenges of designing power-aware protocols which are capable of operating for long periods of time under harsh conditions. This paper proposes to develop a cross-layer architecture, integrating smart and power-aware protocols at the physical and MAC layers with a low-cost high efficiency power management module (denoting ATON II) which are the basis of long-lasting WSN. The experiments show a longendurance outdoor operation with a low complexity power management unit. The paper “Applying an ontology to a patrol intrusion detection system for wireless sensor networks” proposes a lightweight ontology-based wireless intrusion detection system (OWIDS). The system applies ontology to a patrol intrusion detection system (PIDS). The system constructs the relationship between the sensor nodes in an ontology database to enhance PIDS robustness.The experiments show that OWIDS can reduce intrusion detection system (IDS) energy consumption. The paper “Design and implementation of zigbee-ontologybased exhibit guidance and recommendation system” proposes and implements a new WSN-based application—an exhibit guidance and recommendation system. Taking advantages of Zigbee and ontology, this intelligent and personalized guidance service system overcomes the limitations andweaknesses of conventional guidance systems and provides online user with status monitoring and real-time recommendation service.

The Design and Implementation of P2P Traffic Intelligent Guidance System

Dropping or inhibition is the traditional way to control P2P traffic, which affects the user's experience. This paper implements an intelligent P2P traffic guidance scheme which combines recent P2PCache technology and some intelligent strategies. The scheme can fully make inner-network users interconnected, reduce the P2P interconnection traffic and improve the users experience.

Design and Application of Virtual Parking Management Platform Based on LabVIEW

Intelligent parking management development platform based on LabVIEW imitates parking access control system, smart regional guidance system, parking information inquiry system and alarm information inquiry system. The system achieves kinds of functions, such as fast access, time charges, intelligent guidance, security alarm and so on. The development platform for intelligent parking management system can be applied to develop new features for the system. The platform simulates that the parking system combines the Internet of Things technology using the LabVIEW database connectivity tools package. It can develop new functions including urban parking guidance and smart reverse seeking cars in adapt to smart city development.

The Traffic Prediction and Control Based on Rough Set Theory

Intelligent traffic control and traffic guidance systems have become the core question of ITS research, but real-time and accurate traffic prediction and control are two keys that they may achieve. On this basis, Research priorities are proposed and it introduces general ideas of short-term traffic flow forecasting and control, and uses the rough set and fuzzy theory to predict and control traffic flow. Compared with the actual, forecasting results' error is smaller, and the same time the jam of intersection is effectively alleviated.

Artificial vision and identification for intelligent orientation using a compass

A method to determine the orientation of an object relative to Magnetic North using computer vision and identification techniques, by hand compass is presented. This is a necessary condition for intelligent systems with movements rather than the responses of GPS, which only locate objects within a region. Commonly, intelligent systems have vision tools and identification techniques that show their position on the hand compass without relying on a satellite network or external objects that indicate their location. The methodof intelligent guidance is based on image recognition for the red needle of a compass, fi ltering the resulting image, and obtaining the angle direction, that allows finding the orientation of the object.

Particle Filter for Estimating Freeway Traffic State in Beijing

Freeway traffic state estimation is useful for intelligent traffic guidance, control, and management. The freeway traffic state is featured with rapid and dramatic fluctuations, which presents a strong nonlinear feature. In theory, a particle filter has good performance in solving nonlinear problems. This paper proposes a particle filter based approach to estimate freeway traffic state. The freeway link between the west of Peace Bridge and the west of San Yuan Bridge of the third ring in Beijing is used as the experimental object. According to the traffic characteristics and measurement mode of the link, the second-order validated macroscopic traffic flow model is adopted to set up the link model. The implementation steps of the particle filter for freeway traffic state estimation are described in detail. The estimation error analysis for the experiments proves that the proposed approach has an encouraging estimation performance.

A Semantic Web-based authoring tool to facilitate the planning of collaborative learning scenarios compliant with learning theories

When the goal of group activities is to support long-term learning, the task of designing well-thought-out collaborative learning (CL) scenarios is an important key to success. To help students adequately acquire and develop their knowledge and skills, a teacher can plan a scenario that increases the probability for learning to occur. Such a scenario defines pedagogically sound structures that prevent off-task behavior and engage students in more meaningful interactions. The main difficulty in designing effective CL scenarios is transforming the teacher's intentions into elements that constitute the learning scenario. This problem is frequently observed when novice teachers attempt to improve the quality of learning and instruction by blending collaborative activities with individual activities without careful planning. With the goal of helping teachers in planning collaborative scenarios, we have developed an intelligent authoring tool referred to as CHOCOLATO using Semantic Web technologies (e.g. ontologies) in order to represent knowledge about different pedagogies and practices related to collaboration. Through the use of this knowledge, CHOCOLATO can provide intelligent guidance that helps teachers to create theory-based CL scenarios which has proven to be effective in a variety of situations. We evaluated it by conducting two experiments. We were interested in verifying whether the recommendations given by CHOCOLATO help novice teachers to design pedagogically sound CL activities, and if these activities help students to learn collaboratively in real classroom settings. The first experiment had the participation of 58 pre-service teachers that created CL scenarios with and without our authoring tool and the second experiment was carried out in a Brazilian public school together with 218 students. The results suggest that the guidance provided by CHOCOLATO do help novice teachers plan, understand and share CL scenarios more easily. They also suggest that the continuous utilization of well-designed theory-based CL activities create favorable conditions for students (particularly less knowledgeable ones) to improve their overall performance throughout the school year.

PREFACE

I would like to thank all those who have contributed to the preparation of this volume. I am grateful to the Warden and Scholars of New College, Oxford, where the diary is held, for permission to publish it, and to their archive staff, Caroline Dalton and Jennifer Thorp, for their great kindness and helpfulness during my work on transcription. It was Richard Cust, the supervisor of my University of Birmingham PhD thesis, who first grasped the significance of the manuscript and then, with characteristic generosity, passed it to me to work on. I owe him a great debt of gratitude for introducing me to historical research in the first place, and for his generous encouragement and intelligent guidance ever since. It is my great good fortune to have also received every kind of kindly support, and mental stimulation, from another eminent historian, Peter Lake, with whom I have discussed the diary at intervals over the last thirty years. These two have been my main sponsors in the quest to publish the document, and have read and commented on my efforts at all stages. I am grateful to several other friends and contemporaries at the University of Birmingham and at the Institute of Historical Research in London, who discussed aspects of the diary with me at various times. Pauline Croft, Andrew Foster, David Hebb, Nigel Jackson, Ian Palfrey, Victor Stater, and Nicholas Tyacke have all expressed interest and encouragement. I am also grateful to John Morrill, who oversaw the publication of my original article in the Historical Journal. I would like to thank Ken Fincham, Hester Higton, and Ian Archer for their encouragement and patience in preparing the volume, and Ken for his help with Woodford's Latin. Finally, I want to thank Lilian, without whose love and support in very difficult times none of this would have been possible.

The Design of Intelligent Guidance System Model Based on Network Teaching Platform

In this paper, some researches have made on students’ independent learning, employing CDIO International engineering education idea and the theory of association path method and guidance, an intelligent guidance system model based on network teaching platform was designed. The system according to the students frequent access path, learning records and other information, applies Apriori algorithm for data mining, and integrates uploading new points of knowledge and old knowledge, to provide students a learning guidance and help students improve their learning efficiency.

Determining students’ level of page viewing in intelligent tutorial systems with artificial neural network

The concept of level of page viewing (LPV) refers to the extent to which a student actively revises the pages that he or she has to study in tutorial systems. In the present study, an artificial neural network (ANN) model, which is composed of 5 inputs, 20 and 30 neurons, 2 hidden layers, and 1 output, was designed to determine the students’ LPV. After this network was trained, it was integrated into a web-based prototype teaching system, which was developed by ASP.net C# programming language. Additionally, Decision Tree method is tried to determine students’ LPV. However, this method gave wrong results according to expected LPV values. In this system, the student first studies the pages uploaded by the teacher onto the system. After studying all the pages within the scope of a topic, the student can go to the test page for evaluation purposes. LPVs of a student who wants to navigate to the test page are calculated by an ANN module added to the system. On the condition that one or more of the LPV’s are not up to the desired level, the student is not allowed to take the test and is informed of the pages with missing LPV’s so that he can re-study these pages. This prototype system developed based on ANN to determine students’ LPV is essential for intelligent tutorial systems, geared to provide intelligent assistance and guidance. The system can track the pages which the students did not study sufficiently and thus direct them to relevant pages. How much activity the students perform on each page to study is observed before they actually take the test, and the areas which should be further revised are determined much in advance.

Study on Control Strategy of Intelligent Guidance System for Foggy Area Traffic Safety

In recent years, an innovative Intelligent Guidance System for traffic safety under limited visibility conditions appeared and evolved. According to prevailing visibility and traffic conditions, such systems can provide roadway outline reinforcement, vehicle active guidance, rear-end collision warning functions by changing brightness, color, flashing frequency, etc. of the illuminant guidance facilities. Rear-end collision warning function is the marked feature different from traditional guidance facilities. This paper elaborates main principle, system configuration, word mode, control strategy of such system. Especially, emphasis is put on the analysis of key control parameters such as threshold of red lamp duration, quantity of trigged red lamps, which impact practical effects of such system greatly. Regarding the particular rear-end collision warning function, the author use time series chart of trigged red lamps status and list table of key parameters change to induce and optimize key control parameters configuration. The relationship of safe spacing between vehicles, advised speed limit, threshold of red lamp duration and quantity of trigged red lamps is established. And this can be referred to improve the practical effectiveness when such systems are constructed and used.

Enhancing ArcGIS Decision Making Capabilities Using an Intelligent Multicriteria Decision Analysis Toolbox

Spatial decision making problems are multi-facetted challenges. Not only they often involve numerous technical requirements, but may also contain economic, social, environmental and political dimensions that may have conflicting values. Solutions for these problems involve highly complex spatial data analysis processes and frequently require advanced means to address physical suitability conditions while considering the multiple socio-economic variables. Geographic Information Systems (GIS) and Multicriteria Decision Making (MCDM) techniques are the most common tools employed to solve these problems, each of these tools has its own shortcoming and could not be used alone to reach an optimum solution. The need for combining the strengths of these techniques has prompted researchers to seek integration of GIS and MCDM. Most GIS software packages do not support MCDM such as ArcGIS ® which is a great tool for handling spatial analysis. However, it has limited capabilities of handling multicriteria decision problems. In the same time, decision makers need intelligent guidance for selecting a suitable MCDM technique for their decision situation because different MCDM techniques suit different kinds of decision situation. In this study, an intelligent ArcGIS extension (MCDM Analyst) is developed to enhance ArcGIS decision making capabilities and to help the GIS analysts to select and implement the suitable MCDM techniques for their problems. The component object model (COM) technology is used in designing and integrating this extension with ArcGIS to achieve software interoperability. A typical case study is presented to demonstrate the application of this extension.

Automated intelligent rotor tine cultivation and punch planting to improve the selectivity of mechanical intra‐row weed control

Rasmussen J, Griepentrog HW, Nielsen J & Henriksen CB (2012). Automated intelligent rotor tine cultivation and punch planting to improve the selectivity of mechanical intra‐row weed control. Weed Research52, 327–337.SummaryThere is much research on technical aspects related to sensor and mapping techniques, which enable so‐called intelligent cultivators to target the intra‐row spaces within crop rows. This study investigates (i) an expected advantage of an intelligent rotor tine cultivator (the cycloid hoe) in terms of crop‐weed selectivity and (ii) an expected synergistic effect between punch planting and post‐emergence weed harrowing, in terms of improved crop‐weed selectivity. Selectivity is defined as the relationship between weed density decline and associated crop density decline 1 week after cultivation. Punch planting is a sowing technique where holes are created in the ground with a minimum of soil disturbance, and seeds are inserted into them, without soil disturbance outside the holes. Two experiments were carried out with the cycloid hoe in organic sugar beet. The rotation tines were guided by RTK‐GPS relative to geo‐referenced sugar beets. Tines were moved into the row when there was enough space between crop plants to cultivate and kept outside when they were predicted to strike a crop plant. The selectivity of the cycloid hoe was tested against two machine variants without intelligent guidance: the rotor tine cultivator in a locked mode, where tines rotate within the crop row without taking crop plants into consideration, and an ordinary flex tine weed harrow. The experiments showed no differences between the three machine variants in terms of selectivity. Five experiments with punch planting in sugar beet and carrot crops showed no synergistic effects between plant establishment procedures and selectivity of post‐emergence weed harrowing. Even if punch planting and automated intelligent rotor tine cultivation were not combined, the results indicated that there was no reason to believe that a combination contributes significantly in mechanical intra‐row weed control in direct sown crops to the solution of the main problem of low selectivity, which still remains a major challenge. Future studies on precision intra‐row cultivation should focus on cutting implements, instead of tine implements that mainly work through soil burial.

Application of Intelligent Guidance System to Urban Traffic

Application of Intelligent Guidance System to Urban Traffic

Active intelligent parking guidance system

Based on the intrinsic features of spatial distribution,temporal distribution and high dynamic of parking activities,a negotiation approach was introduced to the design of an intelligent parking guidance system.The IEEE FIPA compliant multi-Agent system called active negotiation-based intelligent parking guidance system(AIPGIS) was proposed.The architecture,operation mechanism,negotiation algorithms and characteristics were analyzed and presented.The AIPGIS can implement effective sharing of urban traffic state information and strengthen the coordination and decision-making capacities of the active Agents.

The Study on Personalized Guidance in Intelligent Library Based on Multi-Agent

The system integrated RFID technique, wireless and mobile phone which apply in the intelligent guidance and book management of large scale of library, and to collate the real time information by different functional mobile agents to provide customized information and service, according to the favorite of each reader. Meanwhile, to display forgoing information by multimedia video of book introduction for readers to replace traditional looking for some particular book provide the customized knowledge search style and effective book introduction. In addition, our article set forth System Environment Aware and Recommending Mechanism which bring up considerations for customized information, besides to analyzing personal favorite, should think about the environmental factors in the library, such as, moving path of readers, service and so on such synthetic factors to have a complete analysis and consideration, so as to know what the most appropriate guided service and information is for readers and to make it as a customized intellectual guided service.

Autonomous guidance for intelligent missiles based on chaotic perception—action dynamics

In this article a new reactive mechanism based on perception—action dynamics for multi-sensory integration applied to an intelligent missile guidance system is proposed. The strategy is inspired by the olfactory bulb neural activity observed in rabbits subject to external stimuli. The new missile guidance technique exploits the use of a multiscroll chaotic system which is able to be controlled in real-time towards less complex orbits, such as periodic orbits or equilibrium points, considered as perceptive orbits. These are subject to real-time modifications on the basis of environmental changes acquired through a synthetic aperture radar sensory system. The mathematical details of the approach are given including simulation results in a virtual environment. The results demonstrate the capability of autonomous guidance for missile in complex spatial environments.

Nursery Equipment: Physical skills - Swing time

Letting children loose on a bunch of planks and swings is not conducive to sound physical development - intelligent guidance and planning are needed, writes Anne O'Connor.