Intelligent Access Research Articles

Secure Access of Intelligent Tutorial System on Cloud using RSA Algorithm

Intelligent Tutoring System on the cloud considers the student's learning style and quality of education. This paper presents a general architecture of ITS using the cloud paradigm for effective working of distance learning education system. In ITS cooperative learning is achieved either by interaction between the student and the tutor or inside the group of learners. Intelligent Tutorial System is generally used for any trends of study like mathematics, physics, computer etc. Cloud computing is nothing but privatization of Internet on demand and with complete scalability of required resources which is very useful for Intelligent Tutoring System. ITS hosted on the Cloud will provide effectual services using cloud's secure layer. This paper further discusses the security challenge faced by intelligent tutorial system's access through cloud. This security threat can hence be trounced using RSA algorithm. Internally RSA implements a public-key cryptosystem wherein each user has his own encryption and decryption procedures.

Intelligent Access Control and Monitoring System

Based on the RFID technology, we developed an intelligent building access control and mornitoring system, with which you can effectively control access to the special zone, and monitor the people entering the restricted zone timely and accurately, and helpfully monitor and deal with abnormal situation. Instead of the passive monitoring and alarming in the traditional security system, this system uses the active control. Thus it will provide a more effective way for safety management of enterprises.

Research on the Design of Intelligent Access Control System Based on Radio Frequency Technology and Image Processing Technology

With the continually development of computer technology and modern communication technology, radio frequency technology and image processing technology become the important component of modern security system. In particular, the application of the intelligent access control system of the two technologies becomes a hot research topic in the field. This article first briefly analyzes the principle of radio frequency technology and establishes intelligent access control system based on radio frequency technology and image processing technology. It analyzes the theory and application compatibility of this system which provides technical support and theoretical basic for the researches in this field to some extent.

Design of Intelligent Access Control System Based on UWB Location Algorithm

The intelligent access control system based on UWB is designed in this paper. The system includes access controller, UWB reader array, electronic lock, power module, video capture modular and master computer. The access controller obtains the cards information by UWB reader array , the staffs position can be located by UWB location algorithm. By comparing with information obtained by video capture modular, the system can indicates that if there is illegal invader. The location accuracy can reach 0.5m and can identify accurately the invaders position. So the system can used widely in the place which requires fast walk.

Fiber-handling robot and optical connection mechanisms for automatic cross-connection of multiple optical connectors

Conventionally, in intelligent buildings in a metropolitan area network and in small-scale facilities in the optical access network, optical connectors are joined manually using an optical connection board and a patch panel. In this manual connection approach, mistakes occur due to discrepancies between the actual physical settings of the connections and their management because these processes are independent. Moreover, manual cross-connection is time-consuming and expensive because maintenance personnel must be dispatched to remote places to correct mistakes. We have developed a fiber-handling robot and optical connection mechanisms for automatic cross-connection of multiple optical connectors, which are the key elements of automatic optical fiber cross-connect equipment. We evaluate the performance of the equipment, such as its optical characteristics and environmental specifications. We also devise new optical connection mechanisms that enable the automated optical fiber cross-connect module to handle and connect angled physical contact (APC) optical connector plugs. We evaluate the performance of the equipment, such as its optical characteristics. The evaluation results confirm that the automated optical fiber cross-connect equipment can connect APC connectors with low loss and high return loss, indicating that the automated optical fiber cross-connect equipment is suitable for practical use in intelligent buildings and optical access networks.

Intelligent Caching Wireless Data Access in the Wireless Spectrum

The evolution wireless technologies are growing rapidly in upcoming years. It is expected that many users will shift to more advanced devices that will contribute to gain higher demand in wireless spectrum. However, the capacity for the allocation frequency in the wireless spectrum is typically limited in wireless data transmission. Therefore, when the loads of wireless users in the wireless communications are increasing, the need of cache mechanisms such as Web caches or Web servers are crucial. The scalability demands on internet infrastructure keep increasing as the internet continues to grow in popularity and size. Therefore, the existence and development in Web caching technologies will contribute to bandwidth savings, network latency reduction, improve content availability and subsequently server load balancing. This paper will studies and investigates the cache performance in wireless spectrum with the purpose of dealing with the data growth since the spectrum crisis becomes a serious matter lately. The performance improvement will be observed using caching scheme which allows for time shifting and load shifting in accessing the wireless data with the better cache deployment in the network system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2506 Full Text: PDF

Developing a video game metadata schema for the Seattle Interactive Media Museum

As interest in video games increases, so does the need for intelligent access to them. However, traditional organizational systems and standards fall short. To fill this gap, we are collaborating with the Seattle Interactive Media Museum to develop a formal metadata schema for video games. In the paper, we describe how the schema was established from a user-centered design approach and introduce the core elements from our schema. We also discuss the challenges we encountered as we were conducting a domain analysis and cataloging real-world examples of video games. Inconsistent, vague, and subjective sources of information for title, genre, release date, feature, region, language, developer and publisher information confirm the importance of developing a standardized description model for video games.

Use of Semantic Relatedness for Intelligent Access to Cultural Information

This paper proposes the idea of providing intelligent access to cultural information available on a cultural portal (developed for the purpose of enhancing online access to Sikh cultural heritage. This paper proposes two kinds of search – Page Rank wise search and searching metadata. This search facility makes the system intelligent enough to understand the information required by the user. Links of pages relevant to the search are made available to the user (Page Rank wise); the most relevant result at first position, next relevant result at the second position and so on. Searching metadata helps the user to know about the information available on website and contribute new cultural information.

MAS based Selection and Composition Process of SWS's for Medical Health Care Planning System

The need of semantic web is growing day by day. Users request fulfillment becomes an important assignment. Agent enables approach becomes key milestone in field of semantic web services selection and composition process. Agent who is a self described and managed software component is used on the basis of its capabilities for users request fulfillment. On the basis of domain ontology agent and SW is used for intelligent access of medical information. This paper focuses on how agent based system opens a new range for health care system that include both patient and provider of health care. This paper also focuses to show an interactive health planner for MEDICAL HEALTH CARE PLANNING SYSTEM (MHPS). Here selection, decomposition and composition process of semantic web services is shown on the basis of various cognitive parameters, preferences and conditions for medical health care planning system. General Terms Semantic web services, Agent, Ontology, Medical healthcare planning.

Dynamically reconfigurable radio-over-fiber network with medium access control protocol to provide network access to train passengers

An innovative dynamically reconfigurable radio-over-fiber (RoF) network equipped with an intelligent medium access control (MAC) protocol is proposed to provide broadband access to train passengers in railway high-speed mobile applications. The proposed RoF network architecture is based on a reconfigurable control station and remote access unit (RAU) that is equipped with a fixed filter and tunable filter. The proposed hybrid frequency-division multiplexing/time division multiple access (FDM/TDMA) based MAC protocol realizes failure detection/recovery and dynamic wavelength allocation to remote access units. Simulation result shows that with the proposed MAC protocol, the control station can detect failures and recover and dynamic wavelength allocation can increase the wavelength resource utilization to maintain network performance.

Image Recognition and Wireless Transmission–Based Intelligent Vehicle Access Control System

This paper proposes a new intelligent vehicle access control system scheme based on image recognition and wireless transmission to achieve the secure, intelligent, and efficient vehicle access control management. The novelty of system is the image recognition based on information of the real-time license plate. If a vehicle wants to pass the gate, its license plate image is sent to the center server by the wireless transmission module. Then the image is analyzed by the server and the characters of the license plate can be recognized. Only the vehicle with permission can pass the gate. Compared with the traditional system, the new system is possible to provide a high-efficient access control and greatly reduce security work load.

Research of RFID Intelligent Access Control System in the Internet of Things

Traditional access control system is relatively simple, low efficiency, small storage capacity, which can not meet the initiative, timeliness, and flexibility requirements of security technology in the Internet of Things. To solve this problem, this paper researches and designs the intelligent access control system based on Radio Frequency Identification (RFID) technology. The system consists of an access control management system and an access controller. The system can not only be used as the import and export of safety management, but also contribute to the internal order management, achieve effective control and management of access control region.

Implementation of Intelligent Laboratory Management System Terminal

In this paper, intelligent laboratory management system terminal are implemented based on embedded ARM system. The system is composed of ARM applications terminal and network server accessing to Internet, which provides intelligent access control, fire alarm, automatic attendance, video surveillance and voice intercom functions. And also the approval of intelligent online booking, real-time information bulletin features can be achieved. For laboratory personnel management, the system provides a good solution of identification and appointment approval, real-time monitoring, information management background. This paper describes functions of system terminals, focuses on terminal software solutions and key technologies. The terminal is implemented on the S3C2440 processor device and applied to practical engineering, proves the correctness and reliability of the program.

Finding people and their utterances in social media

At the beginning of the twenty-first century, the web entered a phase of explosive growth. Since then, a multitude of platforms has become available for users to publish information, communicate with others, connect to like-minded individuals, and share anything that they want to share. These platforms are commonly known as social media. Social media enables many-to-many communication: many people can create content, which in turn can be read by many others. To make interesting content findable for many people, machines need to be able to identify the "right" pieces of content or the "appropriate" content creators. That is, we need ways to intelligently access information in social media. The main motivation for the research in my thesis is that we want to enable intelligent access to, and analysis of, the information contained in social media. To this end, we must determine the topical relevance of social media documents, while countering the specific challenges posed by their noisy and creative nature. We identify two entry points for accessing information in social media: (i) the people creating the social media and (ii) their individual utterances (e.g., blog posts, tweets). These entry points act as a doorway to the information in social media. The aim of the thesis is to improve searching for people and their utterances in social media, thereby offering intelligent access to the information it contains. In the thesis we explore ways to improve retrieval effectiveness, for both people and their utterances, in five research chapters. We start with an extensive analysis of the query logs of a people search engine and show that users are mainly interested in finding social media profiles of people for whom they search. We continue with our focus on searching for people in the second chapter, but adopt a more technical perspective. We use blog posts as representation of bloggers' interests and show that for blogger finding a combination of two models, one based on individual blog posts and one on aggregated blogger models, is both effective and efficient. In the remaining three chapters we move away from finding people and focus on individual utterances. Specifically, we look at blog post retrieval in two chapters and email retrieval in mailing lists in the last chapter. For blog post retrieval we explore the use of indicators obtained from a credibility framework. We propose ways of estimating these indicators and rerank an initial list of blog posts based on these (combined) indicator scores. We find that incorporating these indicators leads to improvements and our analysis determines indicators that are most influential. The second chapter on blog post retrieval and the chapter on email search both use a notion of "context" to help improve retrieval effectiveness. For blog post retrieval we observe that much of what is written in blog posts is based on things happening the bloggers' environments. To use this observation we propose a generative retrieval model that uses information from a set of external sources. We test our model using a news collection, Wikipedia, and a web collection as external sources. We find that our model is capable of improving retrieval performance on most topics and that the per-topic collection importance is a very useful component of the model. Finally, the last research chapter uses the direct context of emails to refine queries; we explore the use of threads, the entire mailing list, and the pages from within the same community as sources for query expansion terms. Besides that, we also incorporate the previously mentioned credibility-inspired indicators in this setting. We find that context helps in improving retrieval performance, as do the credibilityinspired indicators. Concluding, my thesis provides new insights into search behavior in social media and shows that a diverse set of methods can help improve retrieval effectiveness for multiple information access tasks within social media. Available online at http://wouter.weerkamp.com/.

Multi-functional intelligent access control system based on hand vein recognition

This paper introduces the design and realisation of a multi-functional intelligent access control system, in which the hand vein recognition technique plays an essential part. Along with the hand vein image acquisition, processing and matching, the authentication of incoming people can be achieved. Moreover, modules that join newly, such as body induction, voicemail and visualisation, can help lower the system's energy consumption, enhance its versatility and security as well as reliability. This system can provide an intact solution towards user's security. The experiments and running trials also showed that the recognition rate can reach 93.9%, while the false accept rate is under 0.001%.

Status-Monitoring and Fault-Diagnosis Method for an Intelligent Building Wavelength Division Multiplexing Network

This article proposes and demonstrates a method for simultaneous real-time status monitoring and troubleshooting of a high-capacity bidirectional intelligent building access network that is based on wavelength division multiplexing techniques. The network integrity is verified from a central office. To avoid interference between the bidirectional traffic, downstream and upstream signals are assigned in different spectral bands. The two main parts of the monitoring and fault-diagnosis functions are a traffic-directing and amplification module and a signal-selection switch module. Fault-diagnosis test results are presented for a 35-km path between a central office and the building network over 10-Gb/s upstream and downstream links.

Identity verification using computer vision for automatic garage door opening

We present a novel system for automatic identification of vehicles as part of an intelligent access control system for a garage entrance. Using a camera in the door, cars are detected and matched to the database of authenticated cars. Once a car is detected, License Plate Recognition (LPR) is applied using character detection and recognition. The found license plate number is matched with the database of authenticated plates. If the car is allowed access, the door will open automatically. The recognition of both cars and characters (LPR) is performed using state-ofthe- art shape descriptors and a linear classifier. Experiments have revealed that 90% of all cars are correctly authenticated from a single image only. Analysis of the computational complexity shows that an embedded implementation allows user authentication within approximately 300ms, which is well within the application constraints.

Network-Wide Time Synchronization in Multi-Channel Wireless Sensor Networks

Recent advances in wireless sensor technology have enabled simultaneous exploitation of multiple channels in wireless sensor systems. In this paper, a novel time synchronization algorithm is proposed for multichannel Wireless Sensor Networks (WSNs) called Multi-Channel Time Synchronization (MCTS) protocol. Time synchronization is critical for many WSN applications and enables efficient communications between sensor nodes along with intelligent spectrum access. Contrary to many existing protocols that do not exploit multi-channel communications, the protocol takes advantage of potential multiple channels and distributes the synchronization of different nodes to distinct channels and thus, reduces the convergence time of synchronization processes significantly.

Active sample-selecting and manifold learning-based relevance feedback method for synthetic aperture radar image retrieval

Content-based image retrieval (CBIR) provides an effective way to address the increasing need for intelligent data access to synthetic aperture radar (SAR) image repositories. In CBIR, a critical component is relevance feedback (RF), which is used to bridge the ‘semantic gap’. This study proposes a new RF method with active sample-selecting and manifold learning for CBIR of SAR images. In this method, the authors adopt a modified maximum margin projection with a new neighbourhood estimation criterion to discover both the geometrical structure and discriminant structure of the underlying data manifold. In order to achieve a satisfactory performance with limited feedback samples, the authors also propose an active sample selection strategy with which the diversity of feedback samples can be increased while the redundancy is decreased. The authors test our method on a TerraSAR-X image database and compare it with four other state-of-the-art RF methods. The superiority and validity of the authors’ method is proved by the retrieval results and the computing cost is acceptable for image retrieval applications.

High-SIR Transmission Capacity of Wireless Networks With General Fading and Node Distribution

In many wireless systems, interference is the main performance-limiting factor, and is primarily dictated by the locations of concurrent transmitters. In many earlier works, the locations of the transmitters is often modeled as a Poisson point process for analytical tractability. While analytically convenient, the PPP only accurately models networks whose nodes are placed independently and use ALOHA as the channel access protocol, which preserves the independence. Correlations between transmitter locations in non-Poisson networks, which model intelligent access protocols, makes the outage analysis extremely difficult. In this paper, we take an alternative approach and focus on an asymptotic regime where the density of interferers $\eta$ goes to 0. We prove for general node distributions and fading statistics that the success probability $\p \sim 1-\gamma \eta^{\kappa}$ for $\eta \rightarrow 0$, and provide values of $\gamma$ and $\kappa$ for a number of important special cases. We show that $\kappa$ is lower bounded by 1 and upper bounded by a value that depends on the path loss exponent and the fading. This new analytical framework is then used to characterize the transmission capacity of a very general class of networks, defined as the maximum spatial density of active links given an outage constraint.