Implementation Of Real System Research Articles

A Channel-Hopping Multichannel MAC Protocol for Mobile Ad Hoc Networks

Although multiple channels are supported in the physical layer, the IEEE 802.11 MAC-layer mechanism is designed for a single channel. Exploiting multiple channels enhances spatial reuse and reduces transmission collisions and, thus, improves network throughput. Designing a multichannel MAC protocol is much more difficult than designing a single-channel MAC protocol. New challenges, such as the channel allocation problem and the missing receiver problem, must be overcome. Existing multichannel MAC protocols suffer from either higher hardware cost (because of applying multiple transceivers) or lower channel utilization (due to limited transmission opportunity). In this paper, a fully distributed channel-hopping solution, i.e., the cyclic-quorum-based multichannel MAC protocol, is proposed. We use the cyclic quorum in a novel way and the proposed protocol has several attractive features. First, only a single transceiver is needed for each node. Second, any sender is guaranteed to meet its receiver in a short time. Third, each node's channel-hopping sequence is derived from its node ID. This avoids exchanging control messages, such as each node's hopping sequence or available channel list. Fourth, multiple transmission pairs can accomplish handshaking simultaneously. The proposed protocol is simple and efficient. Simulation and real system implementation results verify that our mechanism is a promising multichannel MAC protocol for mobile ad hoc networks.

Developing a Web-based system by integrating VGI and SDI for real estate management and marketing

Abstract. Property importance of various aspects, especially the impact on various sectors of the economy and the country's macroeconomic is clear. Because of the real, multi-dimensional and heterogeneous nature of housing as a commodity, the lack of an integrated system includes comprehensive information of property, the lack of awareness of some actors in this field about comprehensive information about property and the lack of clear and comprehensive rules and regulations for the trading and pricing, several problems arise for the people involved in this field. In this research implementation of a crowd-sourced Web-based real estate support system is desired. Creating a Spatial Data Infrastructure (SDI) in this system for collecting, updating and integrating all official data about property is also desired in this study. In this system a Web2.0 broker and technologies such as Web services and service composition has been used. This work aims to provide comprehensive and diverse information about property from different sources. For this purpose five-level real estate support system architecture is used. PostgreSql DBMS is used to implement the desired system. Geoserver software is also used as map server and reference implementation of OGC (Open Geospatial Consortium) standards. And Apache server is used to run web pages and user interfaces. Integration introduced methods and technologies provide a proper environment for various users to use the system and share their information. This goal is only achieved by cooperation between all involved organizations in real estate with implementation their required infrastructures in interoperability Web services format.

A systems-engineering approach for virtual/real analysis and validation of an automated greenhouse irrigation system

In the context of multidisciplinary complex systems design, modelling and simulation are key components in decision making. It allow engineers to validate design alternatives at early development stages. Consequently, it is possible to reduce uncertainty on requirements compliance and secure better decisions for downstream stages of product development. This article describes the analysis of a virtual prototype of an automated greenhouse irrigation system. It is modelled and compared with the real system implementation, finding some differences and similarities between both system testing approaches. The intrinsic dependence of experimentation and modelling is also discussed as both, experimental and random data, are important to be used as inputs to validate virtual models.

ANTELOPE: A Semantic-Aware Data Cube Scheme for Cloud Data Center Networks

Today’s cloud data centers contain more than millions of servers and offer high bandwidth. A fundamental problem is how to significantly improve the large-scale system’s scalability to interconnect a large number of servers and meanwhile support various online services in cloud computing. One way is to deal with the challenge of potential mismatching between the network architecture and the data placement. To address this challenge, we present ANTELOPE, a scalable distributed data-centric scheme in cloud data centers, in which we systematically take into account both the property of network architecture and the optimization of data placement. The basic idea behind ANTELOPE is to leverage precomputation based data cube to support online cloud services. Since the construction of data cube suffers from the high costs of full materialization, we use a semantic-aware partial materialization solution to significantly reduce the operation and space overheads. Extensive experiments on real system implementations demonstrate the efficacy and efficiency of our proposed scheme.

Design and Implementation of Real Estate Sales System Based on B/S

As the housing system reform and the rapid development of real estate sales business, people put forward higher requirements on housing sales management. In the modern information society, people who buy houses just want to get the real estate sales and selling information as soon as possible. Real estate sales agent needs to communicate with buyers quickly. Real estate sales information management system is different from general management Information System in theory and real practice, which attach more information to the timeliness of issued information.With the development of our society and the increasing competition, real estate businessman pay more and more attention to information technology, and more real estate developers realize the importance of improving efficiency, decreasing cost and expanding business through information technology. Therefore, to develop a real estate sales system suiting the current market, and to solve problems that they meet in the housing market have practical significance.

The Design and Implementation of Real Time Encoder System

This paper designed and implemented a next-generation solution for the Internet Broadcasting system applying FlashVideo. Compressing HD Class images in real time currently being broadcast in the field, this is a system that can service VOD as well as Internet live broadcasting, which is a solution that supports the operation of Internet Live broadcasting, VOD service and UCC service easily online. It is a system that supports real time streaming of MPEC4 and WMV images on the Internet or Smartphone by compressing camera and VOD images using H264 Codec in real time, which is first, the first real time encoder system in Korea with the real time recording feature of camera images and a software product that supports the up-to-date Codec technology suitable for the Web and Smartphone environments. Second, it is a two-way Internet broadcasting system that can play videos with an MP4 player and support user chatting and customizing. Third, the Contents Management System (CMS) feature can service streaming of video contents and lecture management contents in real time through Android phone or iPhone.

Design and Implementation of Real Time Face Recognition System (RTFRS)

recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. The accuracy is not a major problem that specifies the performance of automatic face recognition system alone, the time factor is also considered a major factor in real time environments. Recent architecture of the computer system can be employed to solve the time problem, this architecture represented by multi-core CPUs and many- core GPUs that provide the possibility to perform various tasks by parallel processing. However, harnessing the current advancements in computer architecture is not without difficulties. Motivated by such challenge, this paper proposes a Real Time Face Recognition System (RTFRS). In doing so, this paper provides the architectural design, detailed design, and four variant implementations of the RTFRS. Finally, this paper determines the speed up obtained for the three advanced implementations (i.e., Hybrid Parallel model, CPU Parallel model, and Hybrid Mono model) against the convention implementation (i.e., CPU Mono model). The practical results demonstrate that the Hybrid Parallel model gain highest speed up around 82X, CPU Parallel model also have a high speed up around 71X, and finally, the Hybrid Mono model gives a slight speed up about 1.04X.

Towards an extensible simulator of real motion platforms

The limitations of a real motion platform will not normally be discovered until it is completely built and tested. Late identification of its limitations imposes the necessity of a redesign of the motion platform. This, in turn, incurs important and significant economic costs for the manufacturer. Note that any change in the original design of the motion platform requires an investment in resources, money and time in order to perform the re-design of the platform. The main contribution of this paper is to address this problem by creating a virtual motion platform (VMP). This virtual motion platform is a computer-based simulation of a real motion platform which produces the same outputs as the real platform when it receives the same inputs. The VMP has been designed to easily replace the real platform in order to avoid damage to the real system, avoid the potential for human injuries and reduce costs, among other advantages. The model is extensible, enabling the simulation of different kinds of real motion platforms in real-time. The VMP has been validated against a real system implementation. This prototype has been validated against two real motion platforms that we have in our labs: a T3R3 (6DoF) and a T1R2 (3DoF) platform. Extensive empirical tests have been performed and the results show that the VPM exhibits a deviation of less than 3% with respect to the real motion platform, which is a really reasonable result considering the complexity of the simulation. We have also demonstrated that our simulation is capable of running faster than real-time being able to perform batch simulations on many different design iterations.

A Straightforward Design and Implementation of Real Time Pressure Monitoring System in Water Pipe

This paper reports the development of a real time system for pressure monitoring inside water pipe. In water supply industry it is valuable to know the water pressure inside the pipe. Thus the system created consisting hardware parts in compact form along with software in laptop for high mobility. In the hardware part, pressure gauge is chosen as sensor, and a conversion of the data into frequency is decided for better communication with the computer. The process in the software includes data captures, conversion, and display using visual basic MSviewer.

Implementation of Real Time Dress-up System based on Image Blending

ABSTRACT In this paper the real time virtual dress-up system has been proposed. The proposed system consists of multiple tasks including extraction of different body parts, torso detection, resizing input dress images and dress up using blending and re-blending techniques over the subject. The coexistence of different clothing and cluttering backgrounds is the main difficulty for accurate body extraction in image. Haar classifier is applied for detecting face from input frames and geometrical information is used to extract different parts (like a face, a torso, and hands) of a body according to the face position in a frame. Due to the variability of human body, it is complicated to extract accurately. A novel dominant colors based segmentation method is proposed to tackle this problem. First, an image is segmented into uniform areas based on HSV color components. Then, dominant colors of the torso are adaptively selected using color probability model. The torso has been extracted based on the dominant colors to resize the input dress image to fit over the subject body as well as dress size prediction. Automatic dress blending points are calculated on human body using torso starting position and geometrical relationship with face region. A selected dress is scaled and rendered to fit with the subject’s body even they move around. Some preprocessing and post processing techniques are used to make outputs more accurate and realistic.

Agile, efficient virtualization power management with low-latency server power states

One of the main driving forces of the growing adoption of virtualization is its dramatic simplification of the provisioning and dynamic management of IT resources. By decoupling running entities from the underlying physical resources, and by providing easy-to-use controls to allocate, deallocate and migrate virtual machines (VMs) across physical boundaries, virtualization opens up new opportunities for improving overall system resource use and power efficiency. While a range of techniques for dynamic, distributed resource management of virtualized systems have been proposed and have seen their widespread adoption in enterprise systems, similar techniques for dynamic power management have seen limited acceptance. The main barrier to dynamic, power-aware virtualization management stems not from the limitations of virtualization, but rather from the underlying physical systems; and in particular, the high latency and energy cost of power state change actions suited for virtualization power management. In this work, we first explore the feasibility of low-latency power states for enterprise server systems and demonstrate, with real prototypes, their quantitative energy-performance trade offs compared to traditional server power states. Then, we demonstrate an end-to-end power-aware virtualization management solution leveraging these states, and evaluate the dramatically-favorable power-performance characteristics achievable with such systems. We present, via both real system implementations and scale-out simulations, that virtualization power management with low-latency server power states can achieve comparable overheads as base distributed resource management in virtualized systems, and thus can benefit from the same level of adoption, while delivering close to energy-proportional power efficiency.

Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network

Body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications in many fields, such as health monitoring. The services in BAN usually have a high requirement on security, especially for the medical diagnosis, which involves private information. With limitations of power and computation capabilities, one of the main challenges to ensure security in BAN is how to generate or distribute a shared key between nodes for lightweight symmetric cryptography. The current research almost exploits the randomness and distinctiveness (characteristics) of physiological signals to solve the key generation problem. However, it needs the help of additional hardware support and has the constraint on positions deployment, to acquire vital signals, which will bring the high cost and hardness to implementation of real system. To avoid the above problems, this paper presents a novel key generation scheme and a key distribution protocol, both of which are only based on wireless modules equipped on sensors. By exploiting the high correlation of received signal strength index (RSSI) between peer-to-peer communications, our scheme can provide a shared symmetric cryptographic key under the presence of an eavesdropper. We conduct experiments on the real Telosb nodes, and the results demonstrate that our proposed methods have a good performance on security.

Design of structure-free and energy-balanced data aggregation in wireless sensor networks

Power saving is a critical issue in wireless sensor networks since sensor nodes are battery-powered. Data aggregation is an effective approach to save energy because the number of transmissions can be reduced after aggregation. In the literature, most of the data aggregation protocols rely on a structured architecture to accomplish data gathering. Such structure-based methods suffer from high maintenance overhead in a dynamic environment where sensor nodes may move or fail unexpectedly. In this paper, we propose a structure-free and energy-balanced data aggregation protocol, SFEB. SFEB features both efficient data gathering and balanced energy consumption, which results from its two-phase aggregation process and the dynamic aggregator selection mechanism. Analysis, extensive simulation, and real system implementation results verify the superiority of the proposed mechanism.

Dealing with project complexity by matrix-based propagation modelling for project risk analysis

Engineering projects are facing a growing complexity and are thus exposed to numerous and interdependent risks. In this paper, we present a quantitative method for modelling propagation behaviour in the project risk network. The construction of the network requires the involvement of the project manager and related experts using the design structure matrix method. A matrix-based risk propagation model is introduced to calculate risk propagation and thus to re-evaluate risk characteristics such as probability and criticality. An eigenstructure analysis is also used based on the risk network, with the goal of measuring and prioritising risks with respect to their importance in terms of influence in the network. These supplemental project risk analyses provide project managers with improved insights into risks considering complexity and help them to design more effective response actions. An example of an application to a real urban transportation system implementation project is presented to illustrate the utility of the proposed approach.

Design and Implementation of Real Time Noise Cancellation System based on Spectral Subtraction Method

Abstract In this paper, a real-time digital signal noise cancellation system is designed based on Spectral Subtraction Method. The system cancels the noise in frequency domain by estimating the noise energy spectral from a noisy input. Since that method is performed in frequency domain with polar form, a time to frequency domain and rectangular to polar transformer with each of their complement circuits are needed to perform the noise cancellation operation. Considering high speed computation with lower system frequency for a real-time processing and low power consumption, an FPGA based full-hardware implementation is used in proposed system. As a result, the proposed noise cancellation system implementation result is able to perform a real time noise cancellation with the SNR value of 71 dB and use about 47,000 FPGA logic elements with 32 bits data resolution.

An Efficient Real Time Query System for Public Transportation Service using Zigbee and RFID

In recent decades, the number of vehicles in India has increased enormously, which results in rigorous traffic congestion and pollution in urban areas, especially during peak hours. This paper describes an implementation of Real Time Query System (RTQS) for public transportation service using ZigBee and Radio Frequency Identification (RFID) as a communication medium. The System is a Demand Responsive Transit (DRT) but it is more competent and suitable as it entertains passenger's demands and gives data such as bus locations, bus number, and number of persons inside the bus in real time. The real time synchronization of this system makes this system more informative and distinctive when compared with other DRTs. Moreover, this system is more flexible and efficient when compared with the conventional systems. This paper discusses the usage of wireless technologies in real time query system and how to make it more reliable using wireless technology ZigBee and RFID.

A Low cost FPGA implementation of real time video cryptography system using AES (Rijndael) algorithm.

A Low cost FPGA implementation of real time video cryptography system using AES (Rijndael) algorithm.

The quality of service level of mass passenger public transport station

This paper presents a model for defining the quality of service level of mass passenger public transport (MPPT) station for passengers and vehicles. Comprehensive studies were conducted regarding passengers and vehicle operations at multi-modal interchange stations in MPPT system in Belgrade, Serbia during morning and afternoon peak hours. The paper gives the results of model implementation in real system with the example of interchange station Mostar in mass passenger public transport system in Belgrade. Transport demand characteristics (boardings, alightings, passenger volumes) for each stop are given here with the aim of determining the quality of service level of station area and pedestrian communications. Second part presents basic operating elements (headways, deceleration and acceleration of vehicles, stop dwell time), with the aim of determining the quality of service level of station for the vehicles. Key words: Mass passenger public transport, interchange station, level of service, station capacity.

Zaključevanje uvedbe množičnega vrednotenja nepremičnin

Zaključevanje uvedbe množičnega vrednotenja nepremičnin

Passive decoy state SARG04 quantum-key-distribution with practical photon-number resolving detectors

SARG04 protocol has its advantages in defending photon number splitting attack, benefited from two-photon pulses part. In this paper, we present a passive decoy state SARG04 scheme combining with practical photon number resolving (PNR) detectors. Two kinds of practical detectors, transition-edge sensor and time-multiplexing detector, are taken into consideration. Theoretical analysis shows that both of them are compatible with the passive decoy state SARG04. Compared with the original SARG04, two detectors can boost the key generation rate and maximal secure distance obviously. Meanwhile, the result shows that quantum efficiency and dark count of the detector influence the maximal distance slightly, which indicates the prospect of implementation in real quantum key distribution system with imperfect practical PNS detectors.