In this paper, temporal low- rank and sparse decomposition model and spatial low- rank and sparse decomposition model are designed respectively. Subsequently, a joint spatial- temporal detection method of complex morphology target is presented. Firstly, initial background subspace is obtained based on training sequence which does not contain infrared target. Secondly, temporal target image is recovered by l. Thirdly, original image is decomposed into background image and spatial target image using inexact augmented Lagrange multipliers approach. Fourthly, by fusing the two target images, the possible small targets can be extracted well. Finally, background subspace is updated based on incremental singular value decomposition algorithm. The experimental results show that our method is effective and robust to detect complex morphology infrared targets. In particular, the proposed method can extract targets accurately, which is important for target recognition. A FPGA system for QRS complex detection based on Integer Wavelet Transform. NASA Astrophysics Data System (ADS)Stojanovi. The paper presents a real- time hardware based solution for this task. To filter ECG signal and to extract QRS complex it employs the Integer Wavelet Transform. The system includes several components and is incorporated in a single FPGA chip what makes it suitable for direct embedding in medical instruments or wearable health care devices. It has sufficient accuracy (about 9. Additionally, each system component is composed of several identical blocks/cells what makes the design highly generic. Studying Software Evolution for Taming Software Complexity. The capacity of today existing FPGAs allows even dozens of detectors to be placed in a single chip. After the theoretical introduction of wavelets and the review of their application in QRS detection, it will be shown how some basic wavelets can be optimized for easy hardware implementation. For this purpose the migration to the integer arithmetic and additional simplifications in calculations has to be done. Further, the system architecture will be presented with the demonstrations in both, software simulation and real testing. At the end, the working performances and preliminary results will be outlined and discussed. The same principle can be applied with other signals where the hardware implementation of wavelet transform can be of benefit. Integrating a Genetic Algorithm Into a Knowledge- Based. System for Ordering Complex Design Processes. NASA Technical Reports Server (NTRS)Rogers, James L.; Mc. Culley, Collin M.; Bloebaum, Christina L. The design cycle associated with large engineering systems requires an initial decomposition of the complexsystem into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative subcycles. In analyzing or optimizing such a coupled system, it is essential to be able to determine the best ordering of the processes within these subcycles to reduce design cycle time and cost.
Many decomposition approaches assume the capability is available to determine what design processes and couplings exist and what order of execution will be imposed during the design cycle. Unfortunately, this is often a complex problem and beyond the capabilities of a human design manager. What does the 'cyclomatic complexity' of my code. Cyclomatic complexity is not a measure of. Some of the open source tool out there take class as an module or.A new feature, a genetic algorithm, has been added to De. MAID (Design Manager's Aid for Intelligent Decomposition) to allow the design manager to rapidly examine many different combinations of ordering processes in an iterative subcycle and to optimize the ordering based on cost, time, and iteration requirements. Two sample test cases are presented to show the effects of optimizing the ordering with a genetic algorithm. Spatial complexity of character- based writing systems and arithmetic in primary school: a longitudinal study. Pub. Med Central. Rodic, Maja; Tikhomirova, Tatiana; Kolienko, Tatiana; Malykh, Sergey; Bogdanova, Olga; Zueva, Dina Y.; Gynku, Elena I.; Wan, Sirui; Zhou, Xinlin; Kovas, Yulia. Previous research has consistently found an association between spatial and mathematical abilities. We hypothesized that this link may partially explain the consistently observed advantage in mathematics demonstrated by East Asian children. Spatial complexity of the character- based writing systems may reflect or lead to a cognitive advantage relevant to mathematics. Seven hundered and twenty one 6. The Russian children were recruited from specialist linguistic schools and divided into four different language groups, based on the second language they were learning (i. English, Spanish, Chinese, and Japanese). The UK children attended regular schools and were not learning any second language. The testing took place twice across the school year, once at the beginning, before the start of the second language acquisition, and once at the end of the year. The study had two aims: (1) to test whether spatial ability predicts mathematical ability in 7. The longitudinal link from spatial ability to mathematics was found only in the Russian sample. The effect of second language acquisition on mathematics or other cognitive skills was negligible, although some effect of Chinese language on mathematical reasoning was suggested. Overall, the findings suggest that although spatial ability is related to mathematics at this age, one academic year of exposure to spatially complex writing systems is not enough to provide a mathematical advantage. Other educational and socio- cultural factors might play a greater role in explaining individual and cross- cultural differences in arithmetic at this age. PMID: 2. 58. 59. 23. Spatial complexity of character- based writing systems and arithmetic in primary school: a longitudinal study. Pub. Med. Rodic, Maja; Tikhomirova, Tatiana; Kolienko, Tatiana; Malykh, Sergey; Bogdanova, Olga; Zueva, Dina Y; Gynku, Elena I; Wan, Sirui; Zhou, Xinlin; Kovas, Yulia. Previous research has consistently found an association between spatial and mathematical abilities. We hypothesized that this link may partially explain the consistently observed advantage in mathematics demonstrated by East Asian children. Spatial complexity of the character- based writing systems may reflect or lead to a cognitive advantage relevant to mathematics. Seven hundered and twenty one 6- 9- year old children from the UK and Russia were assessed on a battery of cognitive skills and arithmetic. The Russian children were recruited from specialist linguistic schools and divided into four different language groups, based on the second language they were learning (i. English, Spanish, Chinese, and Japanese). The UK children attended regular schools and were not learning any second language. The testing took place twice across the school year, once at the beginning, before the start of the second language acquisition, and once at the end of the year. The study had two aims: (1) to test whether spatial ability predicts mathematical ability in 7- 9 year- old children across the samples; (2) to test whether acquisition and usage of a character- based writing system leads to an advantage in performance in arithmetic and related cognitive tasks. The longitudinal link from spatial ability to mathematics was found only in the Russian sample. The effect of second language acquisition on mathematics or other cognitive skills was negligible, although some effect of Chinese language on mathematical reasoning was suggested. Overall, the findings suggest that although spatial ability is related to mathematics at this age, one academic year of exposure to spatially complex writing systems is not enough to provide a mathematical advantage. Other educational and socio- cultural factors might play a greater role in explaining individual and cross- cultural differences in arithmetic at this age. PMID: 2. 58. 59. 23. Performance analysis of complex repairable industrial systems using PSO and fuzzy confidence interval based methodology. Pub. Med. Garg, Harish. The main objective of the present paper is to propose a methodology for analyzing the behavior of the complex repairable industrial systems. In real- life situations, it is difficult to find the most optimal design policies for MTBF (mean time between failures), MTTR (mean time to repair) and related costs by utilizing available resources and uncertain data. For this, the availability- cost optimization model has been constructed for determining the optimal design parameters for improving the system design efficiency. The uncertainties in the data related to each component of the system are estimated with the help of fuzzy and statistical methodology in the form of the triangular fuzzy numbers. Using these data, the various reliability parameters, which affects the system performance, are obtained in the form of the fuzzy membership function by the proposed confidence interval based fuzzy Lambda- Tau (CIBFLT) methodology. The computed results by CIBFLT are compared with the existing fuzzy Lambda- Tau methodology. Sensitivity analysis on the system MTBF has also been addressed. The methodology has been illustrated through a case study of washing unit, the main part of the paper industry. PMID: 2. 30. 98. 92. Complexation in cobalt(II)- sulfide(polysulfide)- ion- organic- base- chloroform systems. Sci. Tech Connect. Demutskaya, L. N.; Pilipenko, A. T.; Trachevskii, V. V.; Ryabushko, O. P. 1. 98. 6- 0. 8- 0. It has been shown by the methods of electronic, IR, and ESR spectroscopy, and magnetometry that the occurrence of a set of acid- base and redox processes in a cobalt(II)- sulfide(polysulfide)- ion- cetyltrimethylammonium extraction system in an alkaline medium results in the formation of the coordination compound /(CTA)/sub 6/(Co/sup II//sub 2/Co/sup III//sub 2/S/sub 7- n/(S/sub x/)/sub n/(OH)/sub 2/)//sub m/ (I), where x = 2 to 5. Creating and Viewing Cyclomatic Complexity Data with Intel. For example, a simple if/else would give you two paths through a section of code. This code would be easy to understand and test. As the number of choices . Example. We will be using a sample application called tachyon. You can download it from http: //software. Unzip this application to a writable directory on your disk. First we get set up for static analysis. This is done differently on different operating systems. For Windows*OS, read the following section. For Linux* OS, go to Setting up for Static Analysis Using a make File on Linux* OS. Setting up for Static Analysis Using the Microsoft Visual Studio* IDE on Windows* OS We will go through the setup process using the Visual Studio* solution tachyon. Start by opening this solution in the Visual Studio* IDE. If you are using Visual Studio* 2. Visual Studio* 2. Visual Studio* IDE will need to convert the solution file from Visual Studio* 2. Let it go ahead and do this conversion. You will see that the icon for the project in the Solution Explorer has changed to indicate it will be built using the Intel compiler. You will see the following dialog box. Set the Level of Static Analysis option to All Errors and Warnings (/Qdiag- enable: sc. OK. Setting up for Static Analysis Using a make File on Linux* OS The sample application comes with a make file that can be used to build the application on the Linux* OS. To save time, we have included two versions of the make file. One is the original make file, tachyon. This make file builds the application using the GNU C++ compiler. The other is the updated . The SSA build target is just like the debug build target except for these changes: 1. Building on Windows* OS or Linux* OSNow that you are set up, all you have to do is build your SA build configuration to perform analysis. On the Windows* OS, you can do this by right- clicking the tachyon project in the Solution Explorer and choosing Build. On the Linux* OS, you can do this by performing the following steps: 1. Load Results. On the Windows* OS, the Intel Inspector XE automatically opens a new result as soon as the build completes. On the Linux* OS, type inspxe- guito invoke the Intel Inspector XE and then use the File > Open menu to open the result. By default, the file you want to open is called r. Initially the file opens to show a list of problems discovered by static analysis. Click the Complexity Metrics tab. Code with CC measurements that exceed a threshold value could be reviewed and refactored to reduce complexity when appropriate. Code with measurements that exceed a higher threshold could be required to be refactored unless a formal review determines that the level of complexity is acceptable. Using the Intel Parallel Studio XE to examine the complexity of your source code can greatly improve your ability to evaluate your QA/QC program.
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