oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 10 )

2019 ( 47 )

2018 ( 285 )

2017 ( 260 )

Custom range...

Search Results: 1 - 10 of 14797 matches for " Jinchuan Tang "
All listed articles are free for downloading (OA Articles)
Page 1 /14797
Display every page Item
A Study on the Tracking Problem in Vehicular Ad Hoc Networks
Xing Zhang,Bang Liu,Jinchuan Tang
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/809742
Abstract:
Jam Eyes: A Traffic Jam Awareness and Observation System Using Mobile Phones
Xing Zhang,Haigang Gong,Zongyi Xu,Jinchuan Tang
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/921208
Abstract:
You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones
Xing Zhang,Jidong Zhao,Jinchuan Tang,Bang Liu
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/319276
Abstract:
You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones
Xing Zhang,Jidong Zhao,Jinchuan Tang,Bang Liu
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/319276
Abstract: Traffic rules are used to regulate drivers’ behaviours in modern traffic systems. In fact, all driving behaviours are presented by vehicles’ behaviours. If vehicles have awareness of their behaviours, it is possible that traffic rules are able to regulate vehicles instead of drivers. There are three advantages of vehicle regulation: (1) without worrying about violations of traffic rules and searching for traffic signs, drivers can pay more attention on emergency situations, such as jaywalking. (2) Many traffic violations are due to attention distraction; machines do not have the attention issues; therefore they can provide good traffic-rule obeying. (3) New traffic rules can be spread and applied more quickly and effectively through the Internet or Vehicular Ad hoc NETworks (VANETs). In this paper, we propose a novel traffic-rule awareness system using vehicular sensors and mobile phones. It translates traffic rules into combinations of vehicular sensors, GPS device, and Geography Information System (GIS); the system can tell whether a driver violates the traffic rules and help him to amend his driving behaviour immediately. Experiments in real driving environments show that our system can be aware of the traffic rules accurately and immediately. 1. Introduction During the year 2011, there were 11856 traffic accidents that happened in Sichuan province of China and 95% of the accidents are caused by traffic violations [1]. If traffic-violation rate can be significantly decreased, a lot of lives can be saved from traffic accidents. In fact, most traffic violations are not on purpose; the reason of high traffic-violation rate is that the traffic rules are designed to regulate drivers’ behaviours. As long as drivers are human beings, they will suffer from memory issues and attention distraction. Their memory and concentration will be severely affected by mood, alcohol, drugs, and environment. Even a short conversation during driving will distract drivers and cause unnecessary traffic violations. Google self-driving car [2] is a good attempt to decrease the traffic-violation rate, because machines do not have the memory and concentration issues like humans. However, google self-driving car only focuses on self-driving; it has not yet taken traffic rules into consideration except for traffic lights. Some other works like [3] monitor dangerous driving behaviours like aggressive turns, acceleration, and braking and help drivers to correct these unsafe behaviours. However, they did not take traffic rules into consideration. Actually, even if driving behaviours
Jam Eyes: A Traffic Jam Awareness and Observation System Using Mobile Phones
Xing Zhang,Haigang Gong,Zongyi Xu,Jinchuan Tang,Bang Liu
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/921208
Abstract: Traffic jam is a very common and very annoying thing in urban traffic. The most annoying part in traffic jams is not that you have to wait for a long time but that you do not even know how long you have to wait and what causes the traffic jam. However, the pain of being trapped in traffic jams seems to be neglected by existing research works; they put their focuses on either mathematical modeling or optimal routing for those not trapped in traffic jams. In this paper, we propose a traffic jam awareness and observation system using mobile phones. It can tell a driver how many vehicles ahead are trapped in traffic jam and how much time the driver would probably wait. Moreover, it can provide real-time video streams from the head vehicles of the traffic queue so that the driver can see what causes the traffic jam and the progress of handling the traffic jam. The system is environment independen; it can even work when the traffic jam happens in a tunnel. Experiments show that our system can find the head vehicles of the traffic queue and give the queue length accurately, and the video streams coming from the head vehicles reflect the actual situation of the traffic jam basically. 1. Introduction Traffic jam is already a daily routine of modern urban traffic. The sources of traffic jam can be categorized into three ways: a temporary obstruction, a permanent capacity constraint in the network itself, and a stochastic fluctuation in the demand within a particular sector of the network [1]. Obviously, the second way is the fundamental reason why traffic jam happens so frequently. Researchers have been trying their best to reduce the frequency of traffic jam; however, their works are basically a kind of optimization, as long as the network capacity is far from handling the actual increasing traffic flows, traffic jams will be inevitable and be getting worse. Now that traffic jam is inevitable, we should at least pay some attention to relieving sufferings of people from trapping in traffic jams. Almost everyone living in the city has experienced traffic jam; the most annoying thing in traffic jam is not that people have to wait for a long time but that people even do not know how long they have to wait. When people are trapped in a traffic jam, unless they are the head of traffic queue, they hardly know what causes the traffic jam, how long is the traffic queue, and how is the progress of handling the traffic jam. In psychology, lines of evidence shows that people have strong fear of unknown [2]. Although the mentioned information cannot handle the traffic jam,
A characterization of positive linear maps and criteria of entanglement for quantum states
Jinchuan Hou
Physics , 2010, DOI: 10.1088/1751-8113/43/38/385201
Abstract: Let $H$ and $K$ be (finite or infinite dimensional) complex Hilbert spaces. A characterization of positive completely bounded normal linear maps from ${\mathcal B}(H)$ into ${\mathcal B}(K)$ is given, which particularly gives a characterization of positive elementary operators including all positive linear maps between matrix algebras. This characterization is then applied give a representation of quantum channels (operations) between infinite-dimensional systems. A necessary and sufficient criterion of separability is give which shows that a state $\rho$ on $H\otimes K$ is separable if and only if $(\Phi\otimes I)\rho\geq 0$ for all positive finite rank elementary operators $\Phi$. Examples of NCP and indecomposable positive linear maps are given and are used to recognize some entangled states that cannot be recognized by the PPT criterion and the realignment criterion.
Positive elementary operators compressing spectrum
Xiuling Zhang,Jinchuan Hou
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882457
Abstract:
Constructing entanglement witnesses for infinite-dimensional systems
Jinchuan Hou,Xiaofei Qi
Physics , 2010, DOI: 10.1103/PhysRevA.81.062351
Abstract: It is shown that, every entangled state in an infinite-dimensional composite system has a simple entanglement witness of the form $\alpha I+T$ with $\alpha$ a nonnegative number and $T$ a finite rank self-adjoint operator. We also provide two methods of constructing entanglement witness and apply them to obtain some entangled states that cannot be detected by the PPT criterion and the realignment criterion.
Additive Lie ($ξ$-Lie) Derivations and Generalized Lie ($ξ$-Lie) Derivations on Prime Algebras
Xiaofei Qi,Jinchuan Hou
Mathematics , 2010,
Abstract: The additive (generalized) $\xi$-Lie derivations on prime algebras are characterized. It is shown, under some suitable assumption, that an additive map $L$ is an additive (generalized) Lie derivation if and only if it is the sum of an additive (generalized) derivation and an additive map from the algebra into its center vanishing all commutators; is an additive (generalized) $\xi$-Lie derivation with $\xi\not=1$ if and only if it is an additive (generalized) derivation satisfying $L(\xi A)=\xi L(A)$ for all $A$. These results are then used to characterize additive (generalized) $\xi$-Lie derivations on several operator algebras such as Banach space standard operator algebras and von Neumman algebras.
When different entanglement witnesses detect entangled states simultaneously
Jinchuan Hou,Yu Guo
Mathematics , 2010, DOI: 10.1103/PhysRevA.82.052301
Abstract: The question under what conditions different witnesses may detect some entangled states simultaneously is answered for both finite- and infinite-dimensional bipartite systems. Finite many different witnesses can detect some entangled states simultaneously if and only if their convex combinations are still witnesses; they can not detect any entangled state simultaneously if and only if the set of their convex combinations contains a positive operator. For two witnesses $W_1$ and $W_2$, some more can be said: (1) $W_1$ and $W_2$ can detect the same set of entangled states if and only if they are linearly dependent; (2) $W_2$ can detect more entangled states than that $W_1$ can if and only if $W_1$ is a linear combination of $W_2$ and a positive operator. As an application, some characterizations of the optimal witnesses are given and some structure properties of the decomposable optimal witnesses are presented.
Page 1 /14797
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.