Recent advances in wireless communication technologies have spawned many new applications in vehicular networks. Data dissemination via roadside-to-vehicle communication is a vital approach to enabling most of these a...
详细信息
Recent advances in wireless communication technologies have spawned many new applications in vehicular networks. Data dissemination via roadside-to-vehicle communication is a vital approach to enabling most of these applications. In this work, we investigate in the scenario where data items are broadcasted from the road-side unit (RSU) in response to requests submitted by passing vehicles. Data items are associated with temporal constraints and updated periodically to reflect dynamic states of traffic information. Each request may ask for multiple temporal data items, and it is associated with a deadline, which may either be specified by the driver or imposed by the time when the vehicle drives through the service region. In particular, we develop a real-time data dissemination model based on roadside-to-vehicle communication by formulating the time-constraint of requests and the consistency requirement of retrieving temporal data items. On this basis, we propose an online scheduling algorithm to enhance the system performance in terms of maximizing request service and improving bandwidth utilization. Lastly, we build a simulation model to evaluate the algorithm performance in a variety of situations. Experimental results demonstrate that the proposed algorithm outperforms existing algorithms significantly in both request serving and bandwidth utilization.
In this paper, we will discuss the utilization of optically injection-locked (OIL) 1.55 μm vertical-cavity surface-emitting lasers (VCSELs) for operation as low-cost, stable, directly modulated, and potentially uncoo...
详细信息
ISBN:
(纸本)9780819469465
In this paper, we will discuss the utilization of optically injection-locked (OIL) 1.55 μm vertical-cavity surface-emitting lasers (VCSELs) for operation as low-cost, stable, directly modulated, and potentially uncooled transmitters, whereby the injection-locking master source is furnished by modulated downstream signals. Such a transmitter will find useful application in wavelength division multiplexed passive optical networks (WDM-PONs) which is actively being developed to meet the ever-increasing bandwidth demands of end users. Our scheme eliminates the need for external injection locking optical sources, external modulators, and wavelength stabilization circuitry. We show through experiments that the injection-locked VCSEL favors low injection powers and responds only strongly to the carrier but not the modulated data of the downstream signal. Further, we will discuss results from experimental studies performed on the dependence of OIL-VCSELs in bidirectional networks on the degree of Rayleigh backscattered signal and extinction ratio. We show that error-free upstream performance can be achieved when the upstream signal to Rayleigh backscattering ratio is greater than 13.4 dB, and with minimal dependence on the downstream extinction ratio. We will also review a fault monitoring and localization scheme based on a highly-sensitive yet low-cost monitor comprising a low output power broadband source and low bandwidth detectors. The proposed scheme benefits from the high reflectivity top distributed Bragg reflector mirror of the OIL-VCSEL, incurring only a minimal penalty on the upstream transmissions of the existing infrastructure. Such a scheme provides fault monitoring without having to further invest in the upgrade of customer premises.
This study proposes a vision-based nightime surrounding nighttime vehicle detection system implemented by automatic multilevel thresholding method, denoise, connected component labeling, head light matching method, an...
详细信息
This study proposes a vision-based nightime surrounding nighttime vehicle detection system implemented by automatic multilevel thresholding method, denoise, connected component labeling, head light matching method, and head light tracking and classification. It is able to detect head light position, and get the vehicle position. Testing by four videos that we have record while we were driving, for side view, accuracy are all higher than 90%, and the time cost are all higher than 140 frames per second; for rear view, accuracy are all higher than 90%, and the time cost are all higher than 85 frames per second. By this system, we can make sure that there is any vehicle surrounding or not. If there is, it will decide which kind of vehicle it is, and notice the driver with different level, to supply more information and longer reaction time for driver, in order to decrease accident rate, increase driving safety.
Software-defined networking (SDN) and the network function virtualization (NFV) led to great developments in software based control technology by decreasing expenditures. Service function chaining (SFC) is an importan...
详细信息
Linear text segmentation has been used in several natural language processing tasks, such as information retrieval and text summarization. It has been proven that linear text segmentation is beneficial to these tasks....
详细信息
Linear text segmentation has been used in several natural language processing tasks, such as information retrieval and text summarization. It has been proven that linear text segmentation is beneficial to these tasks. To improve the performance of linear text segmentation, a novel domain independent linear text segmentation algorithm, called DPSO-SEG, is proposed in this paper. DPSO-SEG applies the Discrete Particle Swarm Optimization (DPSO) algorithm to find the optimal topical segments. The performance of DPSO-SEG is compared with some state-of-the-art linear text segmentation algorithms. The experimental results show that DPSO-SEG is advantageous in its controllable time complexity and its promising accuracy, especially when the segment size is consistent.
The antenna effect is a phenomenon in the plasma-based nanometer processes that many charges are accumulated on metal wires which cause the degradation of gate-oxide. It also influences the chip reliability and manufa...
详细信息
The antenna effect is a phenomenon in the plasma-based nanometer processes that many charges are accumulated on metal wires which cause the degradation of gate-oxide. It also influences the chip reliability and manufacturing yield. Different with other methods based on Manhattan-architecture for the antenna avoidance, we propose the algorithm that combines jumper insertion and layer assignment (JILA) to eliminate antenna effects on X-architecture clock tree. Experimental results on benchmarks show that our algorithm can reduce all the antenna effects effectively by requiring just extra 20.7% in total vias on average, but the penalties in clock delay, skew, and power dissipation are controlled under the increments of 0.02%, 3.1%, and 0.02%, respectively.
VoIP (Voice over Internet Protocol) has attracted tremendous attention since the late 90's. Many call control protocols, such as H.323, SIP, and MGCP, were addressed to perform integrated value-added telecommunica...
详细信息
VoIP (Voice over Internet Protocol) has attracted tremendous attention since the late 90's. Many call control protocols, such as H.323, SIP, and MGCP, were addressed to perform integrated value-added telecommunication services over IP Networks. By utilizing these services, a user may conveniently make a voice call through the Internet for PC-to-PC, PC-to-Phone, or Phone-to-Phone conversations. Many industries and Internet Telephony Service Providers (ITSPs) have designed and deployed IP telephony networks to provide integrated VoIP services. The state-of-the-art VoIP systems have the capability to largely replace the existing Plain Old Telephone Service (POTS). However, voice sessions over the best-effort IP networks are subject to users' complaining for unavailable or unstable service. The current VoIP management systems put their focuses on the call admission and call quality control most, but seldom have an integrated management. Besides, the VoIP systems have a distributed management requirement for the large-scale and enterprise voice services. These management issues impact the availability of the current VoIP systems. In this paper, an integrated distributed management framework is introduced for managing H.323-based enterprise VoIP systems. Within this framework, the Internet Telephony Gateway (ITG) actively sends out the SNMP-based management information as soon as the call state changes of a session are recognized by the ITG's digital signaling processor (DSP). The call state sequences of a session can be specified by a Finite State Machine (FSM) and used for event-driven fault detection, alarm clustering-based fault isolation, end-to-end call quality monitoring, and accounting management. In addition, a distributed management architecture is also included to accomplish the integrated management for the large-scale VoIP networks.
This paper presents a genetic assessment agent and a student and machine co-learning model for high-school students' computational intelligence (CI) experience. We invited the IEEE CIS High School Outreach (HSO) s...
This paper presents a genetic assessment agent and a student and machine co-learning model for high-school students' computational intelligence (CI) experience. We invited the IEEE CIS High School Outreach (HSO) subcommittee members of the years 2021–2022 to provide lectures at CIS activities and conferences and constructed a basic CI conceptual knowledge structure for high-school student learning. From 2021 to 2022 in Taiwan, we collected high-school students' learning data, including labels, attitudes, environment, and effort, from the CI&AI-FML platform using robots and learning tools, then processed the data using natural language processing (NLP) techniques to efficiently evaluate high-school students' learning state. We then applied three evolutionary computation techniques: genetic algorithm (GA), particle swarm optimization (PSO), and genetic algorithm neural network (GANN) in the proposed genetic assessment agent for the co-learning model, with learning performance regression analysis. In this paper, a CI&AI-FML human and machine co-learning Metaverse model is presented as a solution, which provides hands-on learning and experience while also supporting student-centered online learning during the COVID-19 pandemic. Students participated in the course during the 2022 Spring semester to learn basic CI concepts and experience CI applications through interaction with machines using the developed CI&AI- FML learning tools. The experimental results indicate that the genetic assessment agent with the GANN method has better performance in the student and machine co-learning model as compared to the other two methods, and it is effective for student and machine co-learning model construction.
The purpose of this study is to develop a system to automatically detect weather and daytime based on visual models, including the use of image pre-processing technology, visual machine technology, machine learning te...
详细信息
The purpose of this study is to develop a system to automatically detect weather and daytime based on visual models, including the use of image pre-processing technology, visual machine technology, machine learning technology, SVM to distinguish between weather and daytime, to provide a set of technologies To improve driving safety.
暂无评论