Autonomic systems promise to inject self-managing capabilities in software systems. The major objectives of autonomic computing are to minimize human intervention and to enable a seamless self-adaptive behavior in software systems. To achieve self-managing behavior, various methods have been exploited in the past. Case- Based Reasoning (CBR) is a problem solving paradigm of artificial intelligence which exploits past experience, stored in the form of problem-solution pairs. Although CBR has been applied in the externalization architecture of self-healing systems at a limited scale, however it has not been fully exploited in autonomic systems in general. We have proposed and applied CBR to achieve autonomicity in software systems. The proposed approach has been described and evaluated on CBR implementation for externalization and internalization architectures of autonomic systems. The study highlights the effect of ten different similarity measures, the role of adaptation and the effect of changing nearest neighborhood cardinality for a CBR solution cycle in autonomic managers. The results show that the proposed CBR based autonomic systems exhibit 90 to 98% accuracy in diagnosing the problem and planning the solution. The learning process improves as more experience is added to the case-base. This results in a larger case-base. A larger case-base reduces the efficiency in terms of computational cost. To overcome this efficiency problem, this research work suggests to cluster the case-base, classify the reported problem in the appropriate cluster and devise the solution. This approach reduces the search complexity by confining a new case to a relevant cluster in the case-base. Clustering the case-base is a one-time process and does not need to be repeated regularly. The proposed approach has been outlined in the form of a new clustered CBR framework. The comparison of performance of the conventional CBR approach and clustered CBR approach has been presented in terms of their Accuracy, Recall and Precision (ARP) and computational efficiency. The proposed approach exhibits up to 90% accuracy. It indicates that the performance does not degrade using clustered CBR approach in terms of accuracy and at the same time, it improves the time complexity of the retrieval process. As the case-base grows in size, it is partitioned into different clusters in order to improve the retrieval efficiency. Deciding an appropriate number of clusters for a case-base is not a trivial problem. This research work proposes an approach to cluster the case-base into a random number of clusters. Two versions of the randomized approach have been presented. One of them guarantees success but its computational cost is a function of random variable. Other approach guarantees a deterministic computational cost but the success is not guaranteed. In order to ensure the retrieval time, a binary search based retrieval strategy has also been proposed. Randomized approach guarantees the same level of accuracy as in case of the clustered CBR approach and simplifies the clustering process by reducing its time complexity. The proposed approaches have been implemented on Rice University Bidding Sys- tem (RUBiS) and a simulation study of Autonomic Forest Fire Application (AFFA). Their theoretical and empirical results have been compared. The statistical analysis shows that the empirical and theoretical results are significantly similar.
کسے ملک اتے اک ظالم بادشاہ حکمرانی کر رہیا سی۔ اوہ اپنی رعایا اتے بہت ظلم کردا تے اوس دے دربار وچوں کسے نوں وی انصاف نئیں سی ملدا۔ جو وی اوس دے خلاف بولدا، اوہ اوس نوں جانوں مار دیندا سی۔ کسے نوں اوہ پھاہے لاندا تے کسے نوں بھکھے خون خوار جانوراں اگے سٹ دتا۔ کسے دے ہتھ پیر کٹ دیندا تے کسے دیاں اکھاں کڈھ دیندا۔ اک سپاہی نے بادشاہ دے ظلم دے خلاف آواز چکی تاں بادشاہ نے اوس نوں مارن دا حکم دے دتا۔ اوہ سزا توں بچن لئی اپنے گھروں نسیا تے جنگل وچ جا کے لک گیا۔ بادشاہ نے سپاہیاں نوں جنگل جا کے لبھن تے گرفتار کرن دا حکم دتا۔ سپاہی اوس نوں گرفتار کرن لئی جنگل جاندے نیں۔ پر اگوں اوہناں نوں شیر ملدا اے جو گرج دار آواز وچ بول رہیا سی۔ سپاہی ایہہ ویکھ کے ڈر جاندے نیں تے اوتھوں واپس بادشاہ کول آ جاندے نیں۔ جدوں سپاہی نے اوہناں نوں واپس جاندے ویکھیا تاں اوہ لکی ہوئی تھاں توں باہر آیا۔ اوہ وی شیر نوں ویکھ کے بہت خوف زدہ ہوندا اے۔ جدوں اوس غور نال آواز سنی تاں اوس نوں لگیا کہ شیر کسے مصیبت وچ اے۔ سپاہی جدوں شیر دے نیڑے ہویا تاں شیر نے اوس نوں کجھ نہ آکھیا، ہمت کر کے سپاہی شیر دے ہور نیڑے ہویا تاں اوس ویکھیا کہ اک تیر شیر دی لت وچ کھبیا ہویا اے تے تیر لگن پاروں لہولہان اے۔ سپاہی نے ہمت کر کے پہلاں شیر دی لت وچ تیر کڈھیا جس پاروں اوہدی پیڑ کجھ گھٹ گئی۔ مڑ اوس نے اوہدے پیر وچوں کنڈا کڈھیا۔ شیر اوس دی ایس رحمدلی تے انسان دوستی توں بہت متاثر ہویا اوس دے پیر چمے تے لنگر ہندا ہویا جنگل ول...
Media has wide spectrum in modern world such that it is known as fourth pillar of state. Media has made convenient and has provided numerous facilities. Apart from this media also has shortcoming. Media has wide application in modern world and it is used for different purposes but it has influenced the field of business significantly. In field of business there are various methods to advertise their products and goods but the role of media cannot be neglected nowadays. The owners of industries and factories find it the most suitable ways of enhancing the sale of their products and goods. Therefore advertising has become the most profitable and productive source of income because every company spend a huge amount in order to advertise their products. The Islam has allowed the human being to widen their business through fair means but it is necessary to analyze the Islamic and moral perspective of advertisement so that Muslims may know about the limitation of issue and under its constraints they can be benefited. In this article we will elaborate the Islamic significance and limitations of advertising.
Since last few decades there is a resurgence of interest in naturally coloured cotton. This has motivated the cotton breeders to develop eco-friendly naturally coloured cotton varieties. To support such endeavours a study was carried out to characterize some coloured and white cotton genotypes using morphological and molecular markers, study the transcript level of different flavonoids structural genes in brown green and white cotton fibres, find out differences in the fibre structure and obtain information on the inheritance of fibre colour, yield, and quality traits. The scatter plot analysis grouped 20 cotton genotypes into four clusters. White cotton genotypes, except Cute-98 grouped in Cluster I. The Clusters II and III had all the tetraploid coloured cotton genotypes while Cluster IV had two diploid cotton genotypes. Biplot analysis also showed negative association between fibre colour and fibre quality traits. Both SSR and EST-SSR markers revealed high level of genetic similarity among the cotton genotypes. Two separate dendrograms based on SSR and EST-SSR markers identified four main clusters for 20 cotton genotypes. Nineteen SSR and five EST-SSR markers were found to be associated with different fibre quality traits. Higher value of expected heterozygosity, effective multiplex ratio and marker index for SSR markers as compared to EST-SSR markers showed distinctive nature of SSR markers in revealing the difference among cotton genotypes. Transcriptome analysis of five flavonoid structural genes i.e., GhCHI, GhF3H, GhDFR, GhANS and GhANR revealed temporal expression of these genes during different fibre developmental stages in brown, green and white cotton fibres. The transcript level of all genes was significantly higher in brown then green and white cotton fibres. Scanning electron microscopic analysis at 500X magnification revealed significant improvement in morphological features of fibre of all coloured hybrids as compared to their parents. The surface structure of brown cotton fibres had rough appearance under SEM (4000X) than the other parental lines and coloured cotton hybrids. The additive, dominance and epistatic genetic effects appeared to be involved in the inheritance of various plant traits. Additive type of gene action was involved in the inheritance of boll weight, seed volume and fibre fineness in all crosses. Moderate estimates of narrow sense heritability for these traits confirmed the preponderance of additive gene effects in the inheritance of these traits. Chi-square analysis revealed that single incomplete dominant gene was responsible for the inheritance of fibre colour in naturally coloured cotton. In conclusion, the information on the extent of genetic diversity in cotton germplasm and association of molecular markers with fibre quality traits would be helpful in constructing the breeding populations with desired allelic combinations. The transcriptome analysis of flavonoids structural genes demonstrated that gene manipulation strategy to modulate the transcript level of these genes could improve the pigmentation of brown cotton fibres. Scanning electron microscopy of fibre structure appeared effective in identifying structural difference of fibres in coloured cotton. The comprehensive information on the genetic diversity, fibre structure and gene expression together with the estimates of phenotypic components of genetic variation, obtained from six breeding generation, provided convincing basis for the genetic improvement of coloured cotton cultivars.