Cloud computing is emerging in several ICT areas, including the mobile services industry. This development is known as mobile cloud computing (MCC). MCC may save mobile energy consumption and be utilized to overcome t...
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ISBN:
(纸本)9789898425522
Cloud computing is emerging in several ICT areas, including the mobile services industry. This development is known as mobile cloud computing (MCC). MCC may save mobile energy consumption and be utilized to overcome the fragmentation challenges of application developers, who must take into account various mobile operating systems. This paper introduces a novel mobile-device-independent development approach. Mobile applications will be placed into a cloud and will utilize open application programming interfaces from the telecom infrastructure. This approach, called Open Telco, enables application deployment that is fully based on cloud-computing principles. In this study, we present a business model analysis of an application case called Event Experience, using the Service, Technology, Organization, and Finance (stOF) framework.
Agent technology has been the subject of extensive discussion and investigation within the research community for several years, but it is perhaps only recently, it has seen any significant degree of exploitation in c...
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ISBN:
(纸本)9783642227134
Agent technology has been the subject of extensive discussion and investigation within the research community for several years, but it is perhaps only recently, it has seen any significant degree of exploitation in commercial applications. We could view Agent Oriented Software engineering (AOSE) as a new programming paradigm that has evolved itself from Object Oriented Software engineering (OOSE). AOSE has placed greater emphasis on agent characteristics such as the autonomy, learning, interaction, adaptability, reactivity, pro-activity etc. However, no paradigm will be completed if there were no form of measurement (metrics) to determine the efficiency and quality of its application. AOSE needs proper product metrics to enhance its stand as a lasting methodology in software engineering, just like its parent. For this reason, it is important to develop comprehensive measures of excellence to evaluate agent based software. No set of measures defining the overall quality of an agent has been developed to date. Our research is an elucidation to the need for a more encompassing definition of agent quality through metrics. We present a set of metrics that can be easily applied to a design that measures certain software quality characteristics of an agent oriented system. These metrics are "design and product" metrics for Agent Oriented system. They provide information regarding the ability of their design to match software quality. This paper first identifies the quality requirements for an agent system and secondly proposes a tool that has been developed to measure the agent metrics that quantifies and assists quality engineers to decide the efficiency and the degree of quality of Agent-oriented system.
In this research we studied the impact of Transit Signal Priority (TSP) on the arterial mobility. For the purpose of experiment we have chosen the 111 th street corridor in Edmonton. Recently the LRT extension was car...
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This paper looks at two ways to estimate the bulk mineralogy of the rocks for assay intervals. The aim is to find an efficient indicator of the most common minerals in the rock. Phase (modal) analysis has traditionall...
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ISBN:
(纸本)9781921522505
This paper looks at two ways to estimate the bulk mineralogy of the rocks for assay intervals. The aim is to find an efficient indicator of the most common minerals in the rock. Phase (modal) analysis has traditionally been done using visual methods such as point counting and image analysis. A modern version of this process is the X-ray point counting routine using the SEM-EDS based software. These methods are too slow and expensive for routine analysis of bulk sample mineralogy at the normal assay spacing. Two sources of data were considered that provide information that can be used to determine the mineral abundance in assay samples. The most widely applied method is (semi-) quantitative X-ray diffraction (QXRD). The QXRD method is most applicable to major minerals and has limited application to minerals at low abundance. The nominal detection limit is 0.5 per cent. Values below five per cent have large errors. A second, less common, method is calculation of mineralogy from chemical assay data. Conversion of chemical analyses to mineralogical analyses depends on the unique chemical composition of each mineral. Elements only found in one mineral are easily accounted for, but many compositions are ambiguous. Deciding on the actual mineralogy is not simple. Recalculation of mineral mode from chemical analyses is more accurate than QXRD when the correct minerals, and mineral compositions, are known. Where only a few QXRD analyses are available they can be used to setup a protocol for calculation of mineralogy from assay data. Linear programming works well in this environment. The best results are obtained when both H2O and CO2 are directly measured. Loss-on-ignition (LOI) should be included if these are not available. Where both QXRD and chemical analysis are available for all samples, the best results are obtained using the least squared method to merge the data sets assuming QXRD has much higher analytical errors than chemical assays. The combined method provides mo
In this talk, IsoLasso , a new RNA-Seq based transcriptome assembly tool is introduced. IsoLasso is based on the well-known LASSO algorithm, which is a multivariate regression method designated to seek a balance betwe...
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In this talk, IsoLasso , a new RNA-Seq based transcriptome assembly tool is introduced. IsoLasso is based on the well-known LASSO algorithm, which is a multivariate regression method designated to seek a balance between the maximization of prediction accuracy and the minimization of interpretation. By including some additional constraints in the quadratic programming involved in LASSO, IsoLasso is able to make the set of assembled transcripts as complete as possible. Experiments on simulated and real RNA Seq datasets show that IsoLasso achieves higher sensitivity and precision simultaneously than other recently released transcriptome assembly algorithms including Isolnfer , Cufflinks and Scripture.
Energy efficiency of data centers has attracted wide research attention with growing concern for power consumption and heat dissipation. Map Reduce as an efficient programming model for data-intensive computing is inc...
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Planning for the point pollution sources control around the river bank is complicated with both macro and micro factors. According to these characteristics, a model-centered methodology, based on multi-objective linea...
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Planning for the point pollution sources control around the river bank is complicated with both macro and micro factors. According to these characteristics, a model-centered methodology, based on multi-objective linear programming (MOLP) and water quality simulation, is developed for controlling the multi-pollutants simultaneously, considering the nature of the river's hydrology, the arrangement of pollution sources and pollutant diffusion process. Then, the model-centered methodology is applied in the case study to control the COD and NH4-N of 6 pollution sources around the Minjiang river bank of Yibin section, and to analyze the management level of all pollution sources and the variation of their contribution to Minjiang River. The results show that the order of importance of all pollution sources control is as follows: 1st outfall>2nd outfall>5th outfall>3rd outfall>4th outfall>6th outfall. And the 1st, 2nd and 5th outfalls can be viewed as the most crucial pollution sources in the future controlling. Moreover, with defining the largest emission concentration of COD and NH4-N and the corresponding annual emissions of the pollution sources, the quantitative requirements of controlling the pollution sources were raised, which offer the basis for the total allocation of the emission and the water environmental management of the whole area.
The number of sequenced genomes is growing very quickly due to the low cost and availability of high throughput DNA sequencing platforms. However, most genome sequences are not complete, consisting of large numbers of...
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The number of sequenced genomes is growing very quickly due to the low cost and availability of high throughput DNA sequencing platforms. However, most genome sequences are not complete, consisting of large numbers of contigs separated by gaps. The process of orienting and ordering these contigs, typically using pairs of reads with approximately known distance in the genome, is known as scaffolding. Scaffolding algorithms were first introduced along with the first genome assemblers. Much like the assemblers they were designed to work with pairs of relatively long Sanger reads. The length of these reads ensures that the majority of them would map correctly onto contigs. Current sequencing platforms generate hundreds of millions of much shorter reads in each experiment. The shortness of the reads causes a large amount of non-unique and incorrect mapping. This poster presents an ongoing work on designing a scaffolding strategy appropriate for such type of data. The algorithm can scaffold contigs using paired-end or mate pair sequencing data from multiple platforms. The reads must first be mapped against the contigs, using any tool that reports multiple alignments for each read and can generate SAM output. Read pairs containing at least a read that is not uniquely mapped are removed from consideration. Contigs are annotated using RepeatMasker and RepeatModeler, and read pairs are removed for which at least one read maps within an annotated repeat. Finally, read pairs consisting of reads that map in two different contigs are removed if the minimum insert size implied by the mapping is longer than the expected insert size by more than 3 standard deviations.
作者:
Gambhir, DeepakRajpal, NavinSingh, VipulaECE
Amity School of Engineering and Technology Bijwasan New Delhi India USIT
Guru Gobind Singh Inderprastha University Dwarka New Delhi India ECE
RNS Institute of Technology Bangalore India
Images are in its standard canonical form for a matrix have significant amount of redundant data. Thus image compression methods always under wide attention for efficient multimedia data transmission and storage. This...
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