waashk/dblp huggingface dataset:
enhanced next hop selection scheme for qos support in multi-hop wireless networks. when introduce real-time applications in wireless network environment, t is important to design how to guarantee several qos requirements of the applications. this paper proposes a novel selective forwarding scheme in order to satisfy qos requirements in the aspect of delay and reliability in multi-hop wireless networks. to achieve this purpose, we introduce the relay region by dividing the transmission range of each node into two regions: i) the region of the delay requirement, and ii) the region of the reliability requirement. this classification is determined by taking into account the traffic pattern arriving at each node. after realistic simulations using random way point mobility model, the simulation results show that the proposed scheme can maximize the network utilization while satisfying the qos requirements of real-time applications.
a color-based clustering approach for web image search results. in this paper, we propose an approach to cluster web image search results based on color (cbc). we index images into color histogram descriptors and improved-color distribution entropy descriptors (i-cde), and cluster them by the similarity of color descriptors. however, there are some problems in the similarity measurement of i-cde. in order to resolve the problems, we introduce a new method that measures similarity in vector space model (vsm). through experiment and comparison analysis, it is proved that the proposed cbc approach supplies a good experience for users, and the vsm method solves the problems existing in the similarity measuring method of i-cde and gives better performance.
ecg signal compression using 2d wavelet foveation. foveation principles suggested by natural vision systems enable the construction of a proper mask that may modulate the coefficients given by the discrete wavelet transform of an ecg record. the mask is spatially selective and provides maximum accuracy around specific regions of interest. subsequent denoising and coefficient quantization are further combined with efficient coding techniques such as spiht in order to provide high compression ratios at low reconstruction errors. experimental results reported on a number of mit-bih records show improved performances over existing solutions.
an implementation of the cqs supporting multimedia traffic. in this paper, we propose a cqs (calendar queue scheduler) architecture which was designed for processing multimedia and timing traffic in home network. with various characteristics of the increased traffic flowed in home such as voip, vod, iptv, and best-efforts traffic, the needs of managing qos (quality of service) are being discussed. making a group regarding application or service is effective to guarantee successful qos under the restricted circumstances. the proposed design is aimed for home gateway corresponding to the end points of receiver on end-to-end qos and eligible for supporting multimedia traffic within restricted network sources and optimizing queue sizes. we present a cqs (calendar queue scheduler) architecture implemented in synthesizable verilog form. we simulated the area for both each module and each memory. the area for each module is referenced by nand(2x1) gate(11.09) when synthesizing with magnachip 0.18 cmos libraries through the synopsys design compiler. we verified the portion of memory is 85.38% of the entire cqs. and each memory size is extracted through cacti 5.3(a unit in mm2). as the day size increases, the increment of the total area increases. according to the increase of the memory's entry, the increment of memory area gradually increases, and defining the day size for 1 year definitely affects the total cqs area. even though the cqs is eligible for rate control and delay control and it is in pursuit of home gateway corresponding to the end points of receiver on end-to-end qos, its biggest problem is the increased memory size. in this paper, we discussed design methodology and operation for each module when designing cqs by hardware. also, its biggest problem on designing cqs is the memory size. we surely know that it is important to define the number of priorities and the day size for 1 year.
design and implementation of page sharing scheme between guests in virtualization environments. according to the development of virtualization technology and enhancement of hardware performance, there will be more and more guests on a host in virtualization environments. these guests use many common files and each file should be duplicated on each guest filesystem and memory. in order to eliminate these duplications of resources, many corporations and laboratories proposed several resource sharing schemes. however, there are some problems such as overhead and complexity. in this paper, in order to reduce such duplications, we propose a page sharing scheme optimized for executable files and libraries using shadow paging. also, we validate our scheme with some evaluation results that show improvements in memory utilization and performance, through the implementation of the proposed scheme and experiments.
a hardware implementation of agc and synchronization for ofdm-based wlan. this paper presents a design and implementation on symbol synchronization and automatic gain control (agc) for ofdm-based wlan. synchronization in ofdm-based receiver is critical for performance and needs a great deal of hardware resources. based on the symmetries between real and imaginary values in short preamble of ieee 802.11, applying the symmetries of a short preamble can reduce the hardware complexities of a matched filter to 30% of multipliers and 80% of adders necessary for a cross-correlator. this paper, contrary to the existing methods which use lookup table or cordic for phase estimation, also presents the phase estimation that the phase of complex signal can be found through binary search to reduce the amount of memory. to maintain the amplitude of incoming signal within the allowable operating range, the method of agc in combination with receive signal strength indicator (rssi) is also presented.
adaptive psam in simo systems with imperfect csi in rayleigh fading channels. in this paper we provide an adaptive modulation approach that use adaptive pilot symbols in single input multiple output systems to maximize the spectral efficiency. the maximization is performed in the presence of imperfect channel state information at the transmitter. also for reduce the computational complexity we propose a new method based on the curve fitting to find optimum power allocation on symbols. numerical results show the accuracy of our new method and demonstrate that our adaptive system outperforms other traditional systems that use of non-adaptive pilot symbols with single antenna based on spectral efficiency performance measure.
automatic motion creating from the posture template for the robot physical training system. this paper presents the collaborated working model to provide service using robot. besides, we present the physical training system for prototype of the working model. at first in this system, to compare the posture, we define a human-like generic template with two angles, then, adjust the template to fit on each of the person to improve the recognition rate of system. moreover, we create robot motion that has used angle data of the created template. the angle data is transformed automatically to the most similar motion. this is achieved by the particular expressions that are up to robot specification. the expressions intend to differences of angle measurement on x, y, z planes and dof constraint. we also show the posture recognition and motion transformation are working well.
a modified-fcm segmentation algorithm for brain mr images. medical image segmentation is a complex and challenging task due to the intrinsic nature of the images. segmentation of magnetic resonance imaging (mri) is widely used in medical area. one of common clustering algorithms is fuzzy c-means (fcm) for segmentation of mr images. however mr images normally significant noise by the impact of principles of imaging, equipment and environment, which can lead to serious inaccuracies with segmentation. based on the fcm clustering algorithm, an improved segmentation technique is proposed in this paper. the sigma filter principle has been applied to change the neighbor pixels of targets. the efficacy of the proposed algorithm is demonstrated by comparison with fcm algorithm in visual evaluation and quantitative evaluation.
a high availability clustering and load balacing mechanism for information security infrastructure system. typically, the information security system is a sort of load balancing one, so server must handle all the communication traffics in intranet system. the server and system easily can be unstable because of increased volume overloaded by an internal connection. the delay and even the network failure of system can occurs server down. to solve these problems, the clustering resources must be distributed effectively to the internal infrastructure system. nowadays high availability clustering and load balacing (halb) is necessary for availability of clustering mechanism of information sysetm. halb is a system structure and functional hierarchy for interactive load euquality and load balancing system of each network area. if one server of some network domain fails, the other server of another domain migrates as a backup server under the multiplexing clustering mechanism through the load-balancing and high availability function. to achieve the best distributed computing, this mechanism is based on the value of critical path through dynamic load euquality policy and efficiency management of server resources. this paper provides a experimental test and recomands halb as a test result, because the test shows that the halb method is more effective in the load balancing between servers and packet filtering schedulings than that of traditional.
energy-efficient scheduling of a real-time task on dvfs-enabled multi-cores. we propose an energy-efficient scheduling of a long-lived real-time video task running on dvfs-enabled multi-core platforms. the proposed scheme reduces the energy consumption by executing the task in parallel on an appropriate number of cores with the other cores powered off, and assigning as lower frequency as possible while meeting the deadline. evaluation shows that the scheme saves a significant energy consumed when executing the task on a single core, up to 67%.
hardware-in-the-loop simulation of uav non-linear control system of mini-helicopter. this paper presents the design, simulation and real-time implementation of a control system for an autonomous mini-helicopter using qnx operating system with pc104 embedded board. the reliability of embedded computer systems can be difficult to analyze for several reason. in the development of unmanned vehicle initially it was much focused on military application to civilian application which has many issues in precise design and development cost. the rapid development in digital technology and real-time embedded control system has been widely applied in various industrial fields. this includes developing flight test prototype and test articles early in the system life cycle to gain real experience and determine the real function such that the ultimate design leads to the correct development of the product. the flight operation and guidance for navigation can be developed early in the program to support the testing without any human intervention. hardware in loop technique is a real time simulation where the input and output signals of the simulator show the same time dependent values as the real process. the gps data and sensor real-time data in the hils is fed into the closed loop of the control system which helps to tune and test the control system to directly fit into the uav on real-time.
design of sensor web condition using smsc. this paper designs wireless remote sensing device for a rapid warning and cut in the expenses of sensing and increase of sensing efficiency by detecting sensing data like a wood fire, gas, electricity, earthquake etc more easily.mthe wireless remote sensing condition of this paper consists of multiple sensors with zigbee communication module, multiple relay routers, and data coordinator. the composition of wireless sensor network is multiple wpan (wireless personal area networks) composed by cell-unit. wpan transfers sensing data to sensor web server using smsc (short message service center) method through more than one base station or remote network like internet. therefore, this paper shows the appropriateness of the application which connects wireless sensor network with sensor web service. also, this paper shows the possibility of expend on sensor network which is based on wpan, and the capability and reliance of the proposed system as usable sensor network.
performance evaluation of on-chip interconnect ip using cbr traffic generator model. the communication efficiency plays a crucial role in achieving high system performance in many multimedia socs (system-on-chips). increased requirements on high bandwidth on-chip communication have led to the emergence of complicated communication architectures and algorithms. however, without thorough analysis of bandwidth requirements of applications, we tend to over-provision resources to avoid potential performance degradation. in this paper, we present a cbr-based traffic modeling technique along with a performance evaluation framework. by using this evaluation technique, we can estimate the sustained performance of on-chip communication infrastructure used in multimedia socs. the traffic behaviors of a multimedia application have been captured and analyzed to characterize individual operations which are modeled using traffic generators to replace hardware ips in evaluation process. the simulation results show that this approach is also effective in discovering the peak performance of on-chip network and bandwidth allocation to ips.
a real-time hardware-software codesign technique of network protocols to provide qos. we present the inter-task communication technique incorporating the rhscc (real-time hardware-software communcation channel) that makes it possible to resolve the hardware-software co-design issue of implementing network protocols in the noc (network on chip) architecture developed in this paper. we address this issue as a partition problem of implementing any network protocol suite into real-time application-specific and reconfigurable hardware and software tasks. such a task decomposition technique can improve co-design productivity by supporting the modularity and reuse of complex network protocol cores. the rhscc guarantees the real-time performance of periodic packets and minimize the average response time of aperiodic packets in order to provide the qos support. a case study based on experiments is conducted to illustrate the application and efficiency of the proposed technique by implementing it in the noc architecture derived from the altera's excalibur epxa4 which is a commercial soc (system on chip) platform.
improved remote user authentication scheme using bilinear pairings. user authentication technologies that provide the anonymity of users have been proposed according to increase in the need for security of personal information and privacy protection in ubiquitous computing environments. studies on smart card-based authentication systems have been actively conducted. in 1993, chang and wu first proposed a smart card-based remote user authentication system. in 2005, das et al. proposed a remote user authentication scheme using bilinear pairings. in the das et al.'s scheme, it prevents many logged in users with the same login-id and provides a flexible password change option to the registered users without any help of the remote system. in this paper, it shows the weakness of the das et al.'s scheme for an impersonation attack using the euclidean algorithm in the login process. this paper proposes an improved scheme that shows more safe and effective figures than the scheme proposed by das et al.'s scheme.
deriving hierarchically combined queueing petri nets for performance prediction of distributed component system. in this paper we propose the performance analysis and improvement methodology based on hierarchically combined queueing petri nets (hqpns). to accomplish the goal, in this paper, we firstly propose architecture design and performance profiling methodology by using uml. secondly, we propose transformation algorithm from the uml based software architecture into hqpns model. lastly we offers performance analysis tool to identify potential bottleneck and critical component from the derived hqpns model. we validate the accuracy of performance prediction by applying real system development scenario. we compare the predicted performance results with the performance data of the real system. this approach reduces the time and the cost caused by developing the hqpns model at the software architecture design phase.
evolving fuzzy case-based reasoning in wholesaler's returning book forecasting. this paper proposes a hybrid system that is developed by evolving fuzzy case-based reasoning (fcbr) with genetic algorithm (ga), for reverse sales forecasting of returning books. fcbr systems have been successfully applied in several domains of artificial intelligence. however, in conventional fcbr method each factor has the same weight which means each one has the same influence on the output data that does not reflect the practical situation. in order to enhance the efficiency and capability of forecasting in fcbr systems, we connected the gas method to adjust the weights of factors in fcbr systems, gafcbr for short. the case base of this research is acquired from a book wholesaler in taiwan, and it is applied by the hybrid system to forecast returning books. the results of the prediction of the hybrid system were compared with the results of a back propagation neural network (bpnn), a conventional cbr, and a multiple-regression analysis method. the experimental results show that the gafcbr is more accurate and efficient when being applied to the forecast of the returning books than other methods.
a genetic algorithm approach for a constrained employee scheduling problem as applied to employees at mall type shops. in this application of artificial intelligence to a real-world problem, the constrained scheduling of employee resourcing for a mall type shop is solved by means of a genetic algorithm. chromosomes encode a one-week schedule and a constraint matrix handles all requirements for the population. the genetic operators are purposely designed to preserve all constraints and the objective function assures an imposed coverage, this is for people on both sections of the mall. the results demonstrate that the genetic algorithm approach can provide acceptable solutions to this type of employee scheduling problem with constrains.
design and implementation of a distributed early warning system combined with intrusion detection system and honeypot. network attack and defense is a never-ending war. along with the rapid development of the internet, network attacks have increased and diversified. use of traditional firewall and intrusion detection technologies cannot match to this rapid change. in response to this trend, we designed and implemented a distributed early warning system where several clients collected a wide range of network attack activities, such as malicious codes, sent attack activities back to a central server, and provided warning messages to the network administrator. the proposed system consists of snort intrusion detection system with nepenthes/sebek honeypot software. this combination comes with client and server architecture so that various aspects of attack-oriented records with analytical capabilities are provided. network administrators will receive warning notices when the entire network under monitoring was attacking. to reduce the burden on the deployment of distributed early warning system, we also implemented the system on the live usb and our system can be easily installed with high portability and plug-and-play features.
using w3af to achieve automated penetration testing by live dvd/live usb. as the popularity of the internet continues growing, there are more and more services appeared, security measures are expected to become all the most important on the internet. personal privacy and confidentiality of information also need to be protected and be resolved of vulnerabilities and weaknesses quickly. it is the user the most concerned about one of the topics on the internet now. in this research, we developed automated penetration testing tools based on an open source, we just enter the target url, and we can automate penetration testing with live dvd/live usb platform, which can be used any platform.
implicit relationship deduction in one/more judgment templates. the mamg distributed selection modeling system supports experts at different sites to judge the solutions with many relationships in the visualized modeling. the implicit relationships in judgment modeling templates are hard to find by directly surveying the templates. the paper deducts the implicit relationship based on the dimensions established by ahp. firstly, search for all the relationship-chains between any two objects; secondly, calculate the weight ratio of every relationship-chain by means of the weight of every object and every relationship. the detailed searching algorithm and calculation are given and an example with computing process in mamg is followed. the result indicates any implicit relationship between any two objects in one/more templates can be found out and evaluated.
a multi-level elaborate least frequently/recently used buffer cache for flash storage systems. this research is to design a new buffer cache for flash memory storage systems. specifically, flash memory based storage systems are compact and fast, compared with the traditional hard disks. eventually, flash memory based solid state disks (ssds) became another attractive storage unit, to be applied to general computing systems. however, flash memory based ssds show critical drawbacks that stem from the unique characteristics of the electronic storage units, incurring huge overhead. especially these drawbacks cause serious performance problem when the access pattern of overwrite operations is irregular. this is mainly because the irregular access pattern increases the frequency of overwrite operations and merge operations in the flash memory, which may cause serious overhead. in order to reduce such overhead, this paper proposes a new buffer cache, called the ml-elfru (multi-level elaborate least frequently/recently used buffer), for a flash translation layer (ftl) in flash memory storages or ssds. additionally, experiments are carried out to show that the ml-elfru can reduce the number of replacement operations in the buffer cache and the number of merge operations in the electronic storage unit compared with other existing buffer cache policies.
performability analysis method from reliability and availability. availability and reliability are important attributes of dependability. many dependability analysis methodologies measure and predict availability and reliability separately. however, those methodologies cannot reflect real system characteristics since availability and reliability are interdependent and occur simultaneously. we propose a performability analysis method which regards availability and reliability at the same time. the proposed performability analysis method contains discrete time markov chain modeling and its analysis.