Time filter

Source Type

Jiang Y.-H.,Duke University | Yuen R.K.C.,Applied Genomics | Jin X.,BGI Shenzhen | Jin X.,Childrens Hospital of Philadelphia | And 43 more authors.
American Journal of Human Genetics | Year: 2013

Autism Spectrum Disorder (ASD) demonstrates high heritability and familial clustering, yet the genetic causes remain only partially understood as a result of extensive clinical and genomic heterogeneity. Whole-genome sequencing (WGS) shows promise as a tool for identifying ASD risk genes as well as unreported mutations in known loci, but an assessment of its full utility in an ASD group has not been performed. We used WGS to examine 32 families with ASD to detect de novo or rare inherited genetic variants predicted to be deleterious (loss-of-function and damaging missense mutations). Among ASD probands, we identified deleterious de novo mutations in six of 32 (19%) families and X-linked or autosomal inherited alterations in ten of 32 (31%) families (some had combinations of mutations). The proportion of families identified with such putative mutations was larger than has been previously reported; this yield was in part due to the comprehensive and uniform coverage afforded by WGS. Deleterious variants were found in four unrecognized, nine known, and eight candidate ASD risk genes. Examples include CAPRIN1 and AFF2 (both linked to FMR1, which is involved in fragile X syndrome), VIP (involved in social-cognitive deficits), and other genes such as SCN2A and KCNQ2 (linked to epilepsy), NRXN1, and CHD7, which causes ASD-associated CHARGE syndrome. Taken together, these results suggest that WGS and thorough bioinformatic analyses for de novo and rare inherited mutations will improve the detection of genetic variants likely to be associated with ASD or its accompanying clinical symptoms. © 2013 The Authors. Source

Fei Z.,National University of Defense Technology | Guang-Ming L.,National Supercomputer Center in Tianjin
Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013 | Year: 2013

Traffic congestion has been the most intractable problem for most of countries' governments. It is crucial to solve the traffic congestion that traffic departments achieve the real-time information of traffic condition and release it to the public. The front cameras of buses record the traffic conditions of the main roads of a city. The real-time traffic conditions can be achieved through analyzing the surveillance video of this camera. Design the model to collecting images from the camera, and preprocess these images to make subsequent processing easier. Propose the idea of the average background, and the method of background subtraction is used to detect vehicles. Propose the calculation method of the pixel's weight of image under the perspective law and of the congestion index on the basis of the vehicle pixel statistics, and divide traffic congestion into levels by the index. In the end, experiment is designed to validate the methods. © 2013 IEEE. Source

Guo H.,Peking University | Zhang J.,Peking University | Liu R.,Peking University | Liu L.,Peking University | And 4 more authors.
IEEE Transactions on Visualization and Computer Graphics | Year: 2014

When computing integral curves and integral surfaces for large-scale unsteady flow fields, a major bottleneck is the widening gap between data access demands and the available bandwidth (both I/O and in-memory). In this work, we explore a novel advection-based scheme to manage flow field data for both efficiency and scalability. The key is to first partition flow field into blocklets (e.g. cells or very fine-grained blocks of cells), and then (pre)fetch and manage blocklets on-demand using a parallel key-value store. The benefits are (1) greatly increasing the scale of local-range analysis (e.g. source-destination queries, streak surface generation) that can fit within any given limit of hardware resources; (2) improving memory and I/O bandwidth-efficiencies as well as the scalability of naive task-parallel particle advection. We demonstrate our method using a prototype system that works on workstation and also in supercomputing environments. Results show significantly reduced I/O overhead compared to accessing raw flow data, and also high scalability on a supercomputer for a variety of applications. © 2014 IEEE. Source

Dong W.,National University of Defense Technology | Liu G.,National University of Defense Technology | Liu G.,National Supercomputer Center in Tianjin | Yu J.,National University of Defense Technology | Zuo Y.,National University of Defense Technology
2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 | Year: 2015

The performance of storage subsystem of super-computers can not meet the demands of complex applications running on them. One of its major causes is that the bandwidth of storage hardware has not been utilized efficiently due to the complex and changing application I/O behavior. Therefore, I/O characterization tools are vital to application development and orchestration of storage system. This paper proposes an I/O characterization tool called FTracer. It captures I/O traces and performs traces analysis at runtime. In order to provide more flexible analysis, this FTracer allows users to vary the analysis instances at runtime. This mechanism ensures users get what exactly they want about the I/O characteristics of their applications when applications are running. In this work, we characterize MADbench2 benchmark to demonstrate the ability of FTracer. © 2015 IEEE. Source

Liu C.,Tianjin University | Shu Y.,Tianjin University | Yang O.,University of Ottawa | Xia Z.,National Supercomputer Center in Tianjin | Xia R.,Tianjin University
Wireless Personal Communications | Year: 2013

A stable and reliable routing mechanism for vehicular ad hoc networks (VANETs) is an important step toward the provision of long data transmission applications, such as file sharing and music download. Traditional mobile ad hoc network (MANET) routing protocols are not suitable for VANET because the mobility model and environment of VANET are different from those of traditional MANET. To solve this problem, we proposed a new stable routing algorithm, called stable directional forward routing. The novelty of the proposed routing protocol is its combining direction broadcast and path duration prediction into ad hoc on-demand distance vector routing protocols, which including: (1) Nodes in VANET are grouped based on the position, only nodes in a given direction range participating in the route discovery process to reduce the frequency of flood requests, (2) Route selection is based on the link duration while not the hops or other metrics to increase the path duration, (3) Route discovery is executed before the path expiration in order to decrease the end to end delay. The performance of the new scheme is evaluated through extensive simulations with Qualnet. Simulation results indicate the benefits of the proposed routing strategy in terms of decreasing routing control packet, reducing the number of link-breakage events, improving the packet delivery ratio and decreasing the end-to-end delay. © 2013 Springer Science+Business Media New York. Source

Discover hidden collaborations