waashk/dblp huggingface dataset:
a user-oriented gis search service using ontology in location-based services. geographical information systems (gis) technology plays an increasingly important role in location-based services (lbs), which include applications such as car navigation, tour guide information, route-guide information, and tracking systems. most gis applications focus on showing the stored information on a map, not providing user-orientedmap services to register user's preferred information. we propose an ontology-based approach to register and to search personal information on maps. we also implement a gis search prototype considering user preferences using favorite food information and having a connection function to web sites on the map using our digital map format. our contribution is to provide a personalized service by connecting lbs/gis services and ontology technology.
the situation dependent application areas of epc sensor network in u-healthcare. electronic product code (epc) sensor network is a collection of objects for sensing data. it is crucial to ubiquitous society. it can provide an application service based on situation dependency with its properties. the situation dependency is an emerging concept which can collect location-based and personalized information. with the situation dependency, many industries can serve ubiquitous service for independent users. u-healthcare is one of ubiquitous service to provide seamless medical treatment. the concept of situation dependency is applied in u-healthcare with epc sensor network technology. due to specialized four properties of epc sensor network which are driven from this paper, the situation dependency is well-established in u-healthcare service. in this paper, we defined value and architecture of u-healthcare service and we analyzed application areas of u-healthcare.
repetition coding aided time-domain cancellation for inter-carrier interference reduction in ofdm systems. in this paper, an enhanced time-domain cancellation method is proposed for inter-carrier interference (ici) reduction in ofdm systems. the conventional time-domain cancellation neglects the effect of channel variation in cyclic prefix during the time-domain cancellation and does not work well in deep fades. in order to supplement the conventional method, the simple repetition (de-)coding and the modulation order increasing are employed in the time-domain cancellation. the repetition coding provides reliable symbols in the regeneration operation, and the modulation order increasing maintains or increases the spectral efficiency. simulation results indicate that the proposed method using 16qam significantly improves the ber performance compared to the conventional method using qpsk, while maintains the spectral efficiency. moreover, the proposed method using 64qam concurrently improves both the ber performance and the spectral efficiency.
optimization and routing discovery for ad hoc wireless networks: a cross layer approach. wireless communication links are time-varying in nature, causing degradation of network's performance; this however, could be alleviated by allowing cross layer interaction in the protocol stack. hence, optimization problems formulated in this paper considered parameters from the physical, mac, and network layers where an optimal transmission power vector that minimizes the overall transmission power of the network, satisfying the sinr, required data rate, and maximum transmission power constraints was formulated to exist. distributed algorithms for the joint scheduling, power control and routing were also derived and an energy-aware routing algorithm which maximizes network lifetime was proposed. the energy consumed by each node in the routing path and delays associated on each transmission were considered as link cost such that a route with minimum link cost is utilized. basically, the routing algorithm searched an energy-efficient route, satisfying the energy constraint of each node in a routing path at a tolerable delay.
agent-based intelligent decision support for the home healthcare environment. this paper brings together the multi-agent platform and artificial neural network to create an intelligent decision support system for a group of medical specialists collaborating in the pervasive management of healthcare for chronic patients. artificial intelligence is employed to support the management of chronic illness through the early identification of adverse trends in the patient's physiological data. a framework based on software agents that proxy for participants in a home healthcare environment is presented. the proposed approach enables the agent-based home healthcare system to identify the emergent chronic conditions from the patterns of symptoms and allows the appropriate remediation to be initiated and managed transparently.
automatic marker-driven three dimensional watershed transform for tumor volume measurement. molecular imaging can detect abnormal functions of living tissue. functional abnormality in gene expression or metabolism can be represented as altered volume or probe intensity. accurate measurement of volume and probe intensity in tissue mainly relies on image segmentation techniques. thus, segmentation is a critical technique in quantitative analysis. we developed an automatic object marker-driven three dimensional(3d) watershed transform for quantitative analysis of functional images. to reduce the discretization error in volume measurement less than 5%, the size criteria for digital spheres were investigated to provide the minimum volume. when applied to spect images, our segmentation technique produced 89% or higher accuracy in the volume and intensity of tumors and also showed high correlation with the ground truth segmentation (ρ > 0.93). the developed 3d method did not require interactive object marking and offered higher accuracy than a 2d watershed approach. furthermore, it computed faster than the segmentation technique based on the marker-driven gradient modification.
a mom-based home automation platform. while there have been many home networking technologies such as upnp and insteon, appliances supporting different home networking technologies cannot collaborate to finish home automation (ha). although many studies of interoperability among home networking technologies have been done, researches on further ha in heterogeneous environments are still lacking. this paper proposes the mom-based home automation platform (mhap), which accomplishes event-driven ha in incompatible home networks.mhapis independent of any home networking technology and integrates home networking technologies in the home gateway. for users, mhap provides the easy-to-use and standardized way to configure complex ha scenarios by rules. through introducing message oriented middleware (mom) and open service gateway initiative (osgi), mhap offers reliable automatic operations, fault tolerant and re-configurable ha, high extensibility and large scalable collaboration among appliances, other mhap gateways and internet services.
applying stated preference methods to investigate effects of traffic information on route choice. this research is exploring the extent to which providing traffic information on vms affects driversroute choice behaviour. the information include extra delay and charges. three different charging regimes were tested. stated preference(sp) surveys were conducted and route choice logit models were estimated. the results show that drivers' route choice is affected by length of delay and by road user charges on vms. the fixed charges may be most likely to induce drivers to change their behaviour. drivers value delay time more highly and they become increasingly sensitive to delay time as it increases.
analysis of the characteristics of rain attenuation in the 12.25ghz band for wireless networking. quantitative analysis and prediction of radio attenuation is required in order to improve reliability of satellite-earth communication links and for economically efficient design. for this reason, many countries have made efforts to develop their own rain attenuation prediction models which are fit for their rain environment. in this study the slant path length adjustment factor and rain height proposed in korea and japan was applied to itu-r model (p.618-5, p.618-8), which is most widely used in the world. their results were compared to measured data of rain attenuation and their effectiveness and validity were examined through evaluating the pearson correlation coefficient.
a novel buffer cache scheme using java card object with high locality for efficient java card applications. java card technology enables smart cards and other devices with very limited memory to run small applications. it provides users with a secure and interoperable execution platform that can store and update multiple applications on a single device. however, a major difficulty with java card is its low execution speed caused by hardware limitations. in this paper, we propose a novel scheme about how to improve the execution speed of java card. the key idea of our approach is a buffer cache scheme that uses ram instead of eeprom to improve the execution speed of java card. the proposed scheme reduces i/o count, especially eeprom writing. our scheme is based on the high locality of java card objects and the use of ram that is several magnitude faster than eeprom.
data generalization algorithm for the extraction of road horizontal alignment design elements using the gps/ins data. this paper provides the methodologies to extract the road horizontal alignment design elements using the acquisition data from the global positioning system (gps) and inertial navigation system (ins). for this study, highly accurate gps/ins data from the rossav (road safety survey and analysis vehicle) were collected, and also extraction algorithm of road horizontal alignment design elements was proposed according to the statistical inference.
mobile pharmacology. in mobile usage scenarios, patient care involving point of care considerations build upon increasingly complex information and information structures. furthermore, communication of information must be enabled regardless of space and time. decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. as also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. in these developments, public health problems provide case studies with potentially rather huge impacts. examples are provided e.g. by guidelines involving pharmacological treatment. knowledge and reasoning need to interact with information management, and often involves utility of various devices. well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. the public is now also one of the driving forces in these developments. as electronic prescriptions and generic substitutes are appreciated by the public, we experience how knowledge in its various forms provide success stories in this field.
mmorpg map evaluation using pedestrian agents. massive multiplayer online role-playing games (mmorpg) increasingly become places of social engagement, by providing spaces for social interaction and relationship beyond home and workplace. the center of this is the virtual environment, in which players interact. today's savvy players are demanding progressive, more playable and navigable game environments. traditional methods of the game map evaluation, though reliable, do not offer a quantitative measure of players discomfort and efficiency. this paper introduces a complementary method of the mmorpg map evaluation by utilizing pedestrian agents. the agents employ calculable measures of walking efficiency and discomfort, providing objective criteria, against which the game maps are evaluated. thus, they promote social interaction by improving the space wherein the players interact.
design of wlan secure system against weaknesses of the ieee 802.1x. the ieee 802.1x framework, what was known to have adjusted the ieee 802.11b's weakness in client authentication is a port-based control mechanism that introduces the logical port idea and performs authentication through the ap or the bridge system. unfortunately, there are two problems in existing access authentication scheme for wireless lan, the ieee 802.1x. one of the problems is that it is possible for a malicious user to disguise as a right authenticator because he/she does not take into account the authentication of authenticators. the other problem is that a malicious user can force an authentication server to waste computational resource by continuously accessing requests. in this paper, we propose a wireless lan secure system that offers secure encrypted communication and user authentications. the purpose of the wlan secure system that this study suggests is to improve the weakness in security of ieee 802.1x and to guarantee a secure encrypted communication.
image resize application of novel stochastic methods of function recovery. a novel family of stochastic methods developed for function recovery tasks is presented and its properties are discussed in some detail. a new image resize facility based on these new methods is applied to an image and this compares favorably in quality to the application to this image of an equivalent facility from a popular commercial graphics package.
on scheduling transmissions for hidden terminal problems in dynamic rfid systems. the problem of scheduling transmissions of dynamic radio frequency identification (rfid) systems has been recently studied.one of the common problems, reader collision avoidance has instigated researchers to propose different heuristic algorithms. in this paper, we present a prime based first come higher priority (fchp) transmission scheduling method for reader collision problems that caused by hidden terminal. fchp is a simple mechanism for coordinating simultaneous transmissions among multiple readers. a significant improvement of this approach is that fchp prevents reader collisions by giving contention free scheduling. the second advantage of the proposed technique is that fchp is adaptive in both static and dynamic rfid environments. the simulation results show that the proposed technique provides superior performance in both static and dynamic instances. the fchp is shown to be effective in terms of system throughput, system efficiency and easy to implement.
particle swarm optimization for a multi-ucav cooperative task scheduling. task scheduling is one of the core steps to effectively exploit the capabilities of cooperative control of multiple uninhabited combat aerial vehicles(ucavs) team. the main function of multi-ucav cooperative task scheduling is to allocate tasks which should be implemented by vehicles, and arrange the sequence of these tasks to be carried out for each vehicle simultaneously, while optimizing the team objective and satisfying various constrains of vehicles and tasks. by analyzing the characters of tasks and ucavs, we presented a general mathematical model based on a combinatorial optimization. by defining a suitable particle structure, the particle swarm optimization (pso) algorithm was applied to solve this problem. adaptive weight values and stochastic turbulence strategies were added to the algorithm. simulation results indicate that the pso algorithm proposed in this paper is a feasible and efficient approach for task scheduling in multi-ucav cooperative control.
expert system using fuzzy petri nets in computer forensics. in the past, computer forensics was only used by means of investigation. however, nowadays, due to the sharp increase of awareness of computer security, computer forensics becomes very significant even to the nonprofessionals, and it needs inference as well as the integrity and reliability of the procedure. in this paper, we describe the inference rules using fuzzy petri nets and adapt the collected data in a compromised system to a proposition for inference of the intrusion information. the inferred results are expressed as formalized 5w1h format. the comfex(computer forensic expert system) is inferable, even if the data is damaged in certain section, and the inference function of uncertainty is improved. this is useful to a system administrator who has weak analyzing ability of hacking, and it has improved capacity of managing the system security.
integration of artificial market simulation and text mining for market analysis. it is important to understand and to provide a rationale for the actions of users in financial markets. simulations of artificial financial markets are one means by which to address these needs, and this paper describes how to integrate the technique of text mining with a simulation of an artificial financial market to enhance the value and usefulness of the simulation. the procedure that is proposed consists of extracting the economic trends from the text data that is circulating in the real world and to input these economic trends into the market simulation. we show how this was experimentally tested as a decision support system for an exchange rate policy and how it suggested that the applied combination of interest rate and intervention operations was effective for stabilization of the yen-dollar rate in 1994 and 1995.
an alternative measure of public transport accessibility based on space syntax. the local governments of major cities in korea are giving focus on public transportation to reduce congestion and improve accessibility in city areas. in this regards, the proper measurement of accessibility is now a key policy requirement for reorganizing the public transport network. however, public transport routing problems are considered to be highly complicated since a multi-mode travel generates different combinations of accessibility. while most of the previous research efforts on measuring transport accessibility are found at zone-levels, an alternative approach at a finer scale such as bus links and stops is presented in this study. we propose a method to compute the optimal route choice of origin-destination pairs and measure the accessibility of the chosen mode combination based on topological configuration. the genetic algorithm is used for the computation of the journey paths, whereas the space syntax theory is used for the accessibility. the resulting accessibilities of bus stops are calibrated by o-d survey data and the proposed process is tested on a cbd of seoul using the city gis network data.
wireless control system for pet dogs in a residential environment. this paper concerns a wireless control system (wcs) for pet dogs using wireless sensor networks (wsns) in a residential environment. the developed wcs is composed of a central control system, a wireless auto-feeder, a small-sized guidance robot, and wireless sensing devices. the developed system uses luminance, temperature, and sound data from a pet dog and the surrounding environment. the presented design method provides an efficient way to control and monitor the pet dog usingwsns. the implemented system can be used as a design framework of portable devices for pet dog control within a residential network.
a study on determining the priorities of its services using analytic hierarchy and network processes. daegu metropolitan city is currently in the process of implementing an intelligent transportation systems (its) basic plan in order to establish these systems and the foundation of basic services, in addition to setting establishment goals based on the national basic plan of its. some criteria have proven to be very effective at determining the priorities of its services, measuring their contribution to solving transportation problems, identifying the services preferred by users, and evaluating its systems and related technologies. in this study, the authors prioritize six its services using the analytic network process (anp), which considers mutual dependence between the evaluation items and alternatives. the analytic hierarchy process (ahp), meanwhile, is a one-way process that does not consider the independence of feedback from the services. according to the results of the super decisions ratings, the regional traffic information center system was chosen to be the top priority project followed by the urban arterial incident management system and the bus information system.
an aware-environment enhanced group home: awarerium. we have constructed "awarerium", an enhanced group home with ubiquitous technology to establish person-centered care. the group home is a facility that provides care for alzheimer's and dementia patients. the group home is effective in curbing the progress of alzheimer's dementia. a small number of elderly persons with no relations in need of care, support, or supervision, such as alzheimer's and dementia patients, can live together in the group home. in this paper, we describe the design concept of awarerium and the sensing and projection devices installed therein. we present two support systems for position awareness using these devices in awarerium: a system for finding lost objects and a system for identifying and noticing dangers in order to prevent dangers in the group home.
adaptive routing algorithm using evolution program for multiple shortest paths in drgs. there are several search algorithms for the shortest path problem: the dijkstra algorithm and bellman-ford algorithm, to name a few. these algorithms are not effective for dynamic traffic network involving rapidly changing travel time. the evolution program is useful for practical purposes to obtain approximate solutions for dynamic route guidance systems (drgs). the objective of this paper is to propose an adaptive routing algorithm using evolution program (araep) that is to find the multiple shortest paths within limited time when the complexity of traffic network including turn-restrictions, u-turns, and p-turns exceeds a predefined threshold.
personalized e-learning process using effective assessment and feedback. the amount and quality of feedback provided to the learner has an impact on the learning process. personalized feedback is particularly important to the effective delivery of e-learning courses. e-learning delivery methods such as web-based instruction are required to overcome the barriers to traditional-type classroom feedback. thereby, the feed-back for a learner should consist not only of adaptive information about his errors and performance, but also of adaptive hints for the improvement of his solution. furthermore, the tutoring component is required to individually motivate the learners. in this paper, an adaptive assessment and feedback process model for personalized e-learning is proposed and developed for the purpose of maximizing the effects of learning.
a solution for bi-level network design problem through nash genetic algorithm. this paper presents a nash genetic algorithm (nash ga) as a solution for a network design problem, formulated as a bi-level programming model and designs a backbone topology in a hierarchical link-state (ls) routing domain. given that the sound backbone topology structure has a great impact on the overall routing performance in a hierarchical ls domain, the importance of this research is evident. the proposed decision model will find an optimal configuration that consists of backbone router for backbone provider (bp), router for internet service provider (isp), and connection link properly meeting two-pronged engineering goals: i.e., average message delay and connection costs. it is also presumed that there are decision makers for bp and the decision makers for isp join in the decision making process in order to optimize the own objective function. the experiment results clearly indicates that it is essential to the effective operations of hierarchical ls routing domain to consider not only the engineering aspects but also specific benefits from systematical layout of backbone network, which presents the validity of the decision model and nash ga.