Unregistered fishing boats and those displaying fake registration numbers is being used for criminal activities in the coastal areas. Recent terrorist attacks in Mumbai and the warnings from the intelligence agencies necessitate tamper-proof Holographic Registration Plates with GPRS (HRPG) networking system on all sea going vessels to augment the coastal security. The (HRPG) networking system which includes several security features is a regular reflective tetrahedron in shape, designed with holographic, laser etched and embossed security features to protect against forgery. The system comprises of a GPRS (General Packet Radio Services) and GPS (Global Positioning System), along with a micro-chip containing the whole information regarding the vessels and sailors/fisherman. The location and identity of the seagoing vessels can be easily traced and tracked out by the enforcement authority. The paper reports in details about the Hologram preparation, related design considerations and it advantages.
ObjectivesThe primary goal of this experiment is to prioritize molecular descriptors that control the activity of active molecules that could reduce the dimensionality produced during the virtual screening process. It also aims to: (1) develop a methodology for sampling large datasets and the statistical verification of the sampling process, (2) apply screening filter to detect molecules with polypharmacological or promiscuous activity.ResultsSampling from large a dataset and its verification were done by applying Z-test. Molecular descriptors were prioritized using principal component analysis (PCA) by eliminating the least influencing ones. The original dimensions were reduced to one-twelfth by the application of PCA. There was a significant improvement in statistical parameter values of virtual screening model which in turn resulted in better screening results. Further improvement of screened results was done by applying Eli Lilly MedChem rules filter that removed molecules with polypharmacological or promiscuous activity. It was also shown that similarities in the activity of compounds were due to the molecular descriptors which were not apparent in prima facie structural studies.Electronic supplementary materialThe online version of this article (10.1186/s13104-018-3535-y) contains supplementary material, which is available to authorized users.
Internet is growing very rapidly; so is its security issues. There are a wide variety of attacks possible in networked machines. DOS attack, buffer overflow attack, cross site attack, DNS exploit attack are a few to name. Without security measures and controls in place, network and data might be subjected to attacks. The commonly deployed security devices are firewall, IDS, IPS, anti-virus etc. Potential number of threats is still pervading which are formulated as attacks by combining many unnoticed primitive events. The best solution is to install a Complex Event Processing (CEP) system which can analyze multiple devices to infer attack patterns. Log information of network devices is the best choice for analysis. In a large network, there will be millions of events logged. Correlated analysis of this huge volume of log is the main challenge in Complex Event Processing (CEP) system. We describe a method to reduce the input to the Complex Event Processing (CEP) system, using Support Vector Machine (SVM) classifier. Our experiment shows that the input size can be considerably reduce using the classifier. Hence improves the working of Complex Event Processing (CEP) system.
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