The paper employed some independently developed sensors based on the Octopus X platform to build a Zigbee-based Sensor Networks. Also, we implemented a Location-aware living environment by deploying the developed Zige...
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The paper employed some independently developed sensors based on the Octopus X platform to build a Zigbee-based Sensor Networks. Also, we implemented a Location-aware living environment by deploying the developed Zigee-based sensor. Besides, through the created window console interface, the sensed data can be transmitted and transformed to the database for further utilized. Moreover, by the devised Web interface, the update request data can be observed efficiently and responded effectively to any situations.
The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the no...
The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the nonlinear effects are either ignored or approximated by linearization technique. In the article, a PRML detector for the PR4 model including the nonlinear effects has been developed to improve the detector performance. The new representation is more accurate and the corresponding PRML detector has better performance without increasing the realization complexity. computer simulation results show that the new representation outperforms the conventional ones due to the enhanced modeling capability. The method is also expected to be applied in the high order partial response channel.
With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems...
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Neither traditional, agile or free/open software development models can be effective to all projects contexts. We claim that collaboration and discipline can be the driver to tailor software development processes to m...
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Neither traditional, agile or free/open software development models can be effective to all projects contexts. We claim that collaboration and discipline can be the driver to tailor software development processes to meet projects and organizations needs. This work proposes that process tailoring can be conducted through a context management approach.
The worldwide Digital Signage market has been getting increasingly popular in recent years. Nevertheless, for service providers, the Digital Signage business is still not easy to manage and time-consuming to operate. ...
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The worldwide Digital Signage market has been getting increasingly popular in recent years. Nevertheless, for service providers, the Digital Signage business is still not easy to manage and time-consuming to operate. In this paper, based on the GPS and wireless infrastructure, we present a mobile location-aware digital signage system (LDSS). Through the centralized system architecture, the applications for the Digital Signage can be expanded to various advertising vehicles including buses and other mobile advertising vehicles. Also, we present an advertisement recommendation algorithm, by which the advertisement can be broadcasted in the right markets more effectively. Evidenced by simulated experiments and analysis, compared with traditional region trigger advertising, sequential advertising and random advertising, our advertisement recommendation algorithm can effectively reach to the key target audiences in planned regions, while show excellent ability to differentiate markets in unplanned regions reaching to the target consumer groups as well.
A behavioral strategy designed for a humanoid robot for the purpose of obstacle avoidance based on four ultrasonic sensors for the learning behavior and performance is proposed and implemented with an autonomous human...
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A behavioral strategy designed for a humanoid robot for the purpose of obstacle avoidance based on four ultrasonic sensors for the learning behavior and performance is proposed and implemented with an autonomous humanoid robot. A mechanical structure with 4 degrees of freedom is designed so that a small-size humanoid robot named ARSR is able to accomplish three types of walking motion. One experiment is presented to illustrate ow the the proposed bipedal structure lets the ARSR move forward, turn left and turn right. Four ultrasonic sensors are mounted on the ARSR to obtain environmental information and detect obstacles. Based on the information obtained from these sensors, a decision tree method is proposed to decide upon one behavior from three possible types of movement: walk forward, turn left and turn right. An experiment is carried out to show how the robot can autonomously avoid obstacles to effectively arrive at its destination. Based on the mechanic design and development, we will get a good agreement for the learning behavior and performance.
An improved mechanism called Scan First 3 Channels (SF3C) is developed to reduce the communicating frequency among devices and PAN Coordinator. The throughput and energy consumption are major performance indexes for i...
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An improved mechanism called Scan First 3 Channels (SF3C) is developed to reduce the communicating frequency among devices and PAN Coordinator. The throughput and energy consumption are major performance indexes for it. Meanwhile, the beacon-enabled mode for broadcast transmissions in WPAN has higher flexibility than the non-beacon -enabled mode. In the research, a new analytic mode of the IEEE 802.15.4 beacon-enabled mode is developed to improve throughput. Furthermore, the MAC performance in the simple star topology is evaluated.
In this paper, a simple path correction and obstacle avoidance method with a bipedal robot for the learning stratification and performance, using an ultrasonic sensor and electronic compass sensor, is proposed. This b...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal — A-CoBrA — for a specific domain.
There exists a need for additional transmission capacity to connect distributed resources such as wind energy from remote locations to the power grid. The high cost of running transmission lines necessitates having a ...
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ISBN:
(纸本)9781424465460
There exists a need for additional transmission capacity to connect distributed resources such as wind energy from remote locations to the power grid. The high cost of running transmission lines necessitates having a way to minimize the length of transmission required to connect the distributed resources to load centers. In addition, the substations that connect to the transmission lines need to be fault tolerant by ensuring that the loss of any one transmission line does not result in the loss of power to any substation. In this paper, the relative cost of connecting a range of sources to a range of loads with and without fault tolerance is presented. Fault tolerance is achieved through a 2-path redundant graph approach. Studies show that the additional cost of ensuring fault tolerance for selected schemes ranges between 8% and 33%. This percentage value can support decision making in practice.
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