a parallel model is given to forecast killer residence and place of crime. According to the circle cover method, we derive normal distribution of perpetrators radius, and forecast the center coordinates of the greates...
详细信息
ISBN:
(纸本)9780769541105
a parallel model is given to forecast killer residence and place of crime. According to the circle cover method, we derive normal distribution of perpetrators radius, and forecast the center coordinates of the greatest probability of offender accommodation. The parallel Markov model is formulated by using transition probability of two adjacent sites of crime commitment. After respectively calculating, we obtain the various probabilities of locations of the next crime and get their targets area. The results of example show our method can be used in practice to predict killer residence and place of next crime.
According to the physical and chemical properties a alpha-amino acid and C alpha atoms a parallel model is constructed to calculate C alpha contact number. With the introduction of the concept of contact number of C a...
详细信息
ISBN:
(纸本)9780769541105
According to the physical and chemical properties a alpha-amino acid and C alpha atoms a parallel model is constructed to calculate C alpha contact number. With the introduction of the concept of contact number of C alpha atoms in protein, the atomic number proportion of C alpha atoms is given. The average contact number and average rate of change of contact number are discussed respectively. The results show that the average rate of change of contact number fluctuates drastically within the distance between 4 to 11 a.u., and has high speed up of parallel calculation.
Kriging is one of the important interpolation methods in geostatistics, which has been widely applied in engineering project. In this paper, we present an efficient method for the parallelization of universal Kriging ...
详细信息
ISBN:
(纸本)9780769541105
Kriging is one of the important interpolation methods in geostatistics, which has been widely applied in engineering project. In this paper, we present an efficient method for the parallelization of universal Kriging interpolation on shared memory multiprocessors. By using OpenMP directives, we implement a portable parallel algorithm, which enables an incremental approach to add parallelism, without modifying the rest part of sequential code. To achieve optimal performance, the parallel grain size has been considered and analyzed. Numerical experiments have been carried out on two multicore windows workstations, the results of which demonstrate this method could enhance the overall performance significantly.
Inverse heat conduction problem can be found in many engineering fields, and has the characteristics of non-linearity, ill-posedness and massive-computation. In this paper, a parallel Particle Swarm Optimization (PSO)...
详细信息
ISBN:
(纸本)9780769541105
Inverse heat conduction problem can be found in many engineering fields, and has the characteristics of non-linearity, ill-posedness and massive-computation. In this paper, a parallel Particle Swarm Optimization (PSO) algorithm is proposed to solve inverse heat conduction problem, after choosing parameters determining condition. The numeric results show that the algorithm has high accuracy and can be used in practice.
The parallel Random Access Machine is a very strong model of parallelcomputing that has resisted cost-efficient implementation attempts for decades. Recently, the development of VLSI technology has provided means for...
详细信息
The parallel Random Access Machine is a very strong model of parallelcomputing that has resisted cost-efficient implementation attempts for decades. Recently, the development of VLSI technology has provided means for indirect on-chip implementation, but there are different variants of the PRAM model that provide different performance, area and power figures and it is not known how their implementations compare to each others. In this paper we measure the performance and estimate the cost of practical implementations of four PRAM models including EREW, Limited Arbitrary CRCW, Full Arbitrary CRCW, Full Arbitrary Multioperation CRCW on our Eclipse chip multiprocessor framework. Interestingly, the most powerful model shows the lowest simulation cost and highest performance/area and performance/power figures.
Field Programmable Gate Array (FPGA) is an effective device to realize real-time parallel processing of vast amounts of video data because of the fine-grain reconfigurable structures. This paper presents a kind of par...
详细信息
ISBN:
(纸本)9780769541105
Field Programmable Gate Array (FPGA) is an effective device to realize real-time parallel processing of vast amounts of video data because of the fine-grain reconfigurable structures. This paper presents a kind of parallel processing construction of Sobel edge detection enhancement algorithm, which can quickly get the result of one pixel in only one clock periods. The algorithm is designed with a FPGA chip called XC3S200- 5ft256, and it can process 1024x1024x8 Gray Scale Image successfully. The design can locate the edge of the gray image quickly and efficiently.
To organize the distributedcomputing system resources to form the level structure to carry on the management provides the basis for the computation task assignment and the dispatch resources. According to the charact...
详细信息
In this paper, we use the Hadoop system to build the cloud computing environment. By using data hiding technology to embed data into cover images, we show that the approach using cloud computing would take less execut...
详细信息
Clustering analysis is a common unsupervised anomaly detection method, and often used in Intrusion Detection System (IDS), which is an important component in the network security. The single cluster algorithm is diffi...
详细信息
ISBN:
(纸本)9780769541105
Clustering analysis is a common unsupervised anomaly detection method, and often used in Intrusion Detection System (IDS), which is an important component in the network security. The single cluster algorithm is difficult to get the great effective detection, and then a new cluster algorithm based on evidence accumulation is born. The IDS with clustering ensemble has a low false positive rate and high detection rate, however, the IDS is slow to detect the mass data stream, and it can not detect the attacks in time. This paper presents a parallel clustering ensemble algorithm to improve the speed and the effective of the system. Finally, the KDDCUP99 data set is used to test the system show that the IDS have greatly improvement in time and efficiency.
In this paper, we study parallel I/O efficient graph algorithms in the parallel External Memory (PEM) model, one of the private-cache chip multiprocessor (CMP) models. We study the fundamental problem of list ranking ...
详细信息
暂无评论