The Automated Vehicle Detection of Highway Traffic Images by Differential Morphological Profile

Vehicle detection has been the critical part of the traffic surveillance system for many years. However, vehicle detection method is still challenging. In this paper, differential morphology closing profile is used to extract the vehicle automatically from the traffic image. Along with closing profile, some addition operation has been applied as a part of the algorithm to get the high detection and quality rate. Result demonstrated that the novel method has an excellent detection and quality percentage. We also have compared our automated detection method with other traditional image processing based methods and the results indicate that our proposed method provides better results than traditional image processing based methods.

Feedback Reliability Ratio of an Intrusion Detection System

The behavior and nature of attacks and threats to computer network systems have been evolving rapidly with the advances in computer security technology. At the same time however, computer criminals and other malicious elements find ways and methods to thwart such protective measures and find techniques of penetrating such secure systems. Therefore adaptability, or the ability to learn and react to a consistently changing threat environment, is a key requirement for modern intrusion detection systems. In this paper we try to develop a novel metric to assess the performance of such intrusion detection systems under the influence of attacks. We propose a new metric called feedback reliability ratio for an intrusion detection system. We further try to modify and use the already available statistical Canberra distance metric and apply it to intrusion detection to quantify the dissimilarity between malicious elements and normal nodes in a network.

Optimizing Operating Cost of an Intrusion Detection System

Very often it so happens that the cost of operating an Intrusion Detection System (IDS) exceeds the cost of purchasing the IDS itself. In such cases, regular operation and maintenance of the system becomes expensive. Thus, it becomes essential to reduce the operating cost of the IDS without compromising on the performance and reliability of the IDS. Apart from the initial cost of procuring the IDS, other costs include cost of accessories required and cost of administration etc. In this paper we calculate the cost benefit tradeoffs of an IDS. We propose a method to determine the optimum operating point of the IDS. In an effort to solve the problems of the previously proposed metrics, we propose a decision tree based approach to calculate the cost of operating an IDS in a mobile ad hoc network. Mathematically and programmatically we deduce the minimum operating point of operation of an IDS and generate the receiver operating characteristic curve of the IDS. To further ascertain this, we use available network packet capture data and calculate the minimum operating cost of an IDS. The main motive behind this paper is to show that the cost of operating an IDS in a MANET can be minimized and hence the effectiveness and performance of the IDS can be maximized.

A Novel Hybrid Clustering Based Transmission Protocol for Wireless Body Area Networks

Wireless sensor networks are a collection of intelligent sensor devices that are connected to one another and have the capability to exchange information packets amongst themselves.In recent years,this field of research has become increasingly popular due to the host of useful applications it can potentially serve.A deep analysis of the concepts associated with this domain reveals that the two main problems that are to be tackled here are throughput enhancement and network security improvement.The present article takes on one of these two issues namely the throughput enhancement.For the purpose of improving network productivity,a hybrid clustering based packet propagation protocol has been proposed.The protocol makes use of not only clustering mechanisms of machine learning but also utilizes the traditional forwarding function approach to arrive at an optimum model.The result of the simulation is a novel transmission protocol which significantly enhances network productivity and increases throughput value.

Systematic comparison of hydrogen production from fossil fuels and biomass resources

Fossil fuels are the main energy source to satisfy the worldwide energy demands.However,the energy demands are increasing and the supply of fossil fuels is decreasing,thus many countries are looking for other fuel sources.Differing from the traditional fuels,hydrogen is considered as one of the most promising energy sources due to its intrinsic features such as clean,efficient,safe and sustainable.Developing novel technologies for hydrogen production from renewable sources(such as biomass)becomes a core area for the investigation of hydrogen industry.Within this work,different pathways for hydrogen production including steam reforming,electrolysis,and biomass gasification have been systematically compared in terms of yield and cost.This comparison is unique since the systematic evaluation was conducted from many aspects for all the hydrogen production pathways,especially those by involving the biomass gasification that still lack of available literatures.The assessment methods involved energy analysis,exergy analysis and economic analysis.It was concluded that steam reforming remains the cheapest method of hydrogen production at 1.748$/kg,however,steam reforming is not an ideal process currently or for the future,gasification and electrolysis remains competitive with high yield but requires relatively high initial and annual expenditure.For biomass gasification,though its energy efficiency is lower than steam reforming,it has relatively higher mass yield,demonstrating the feasibility of this process for hydrogen production.Further for biomass gasification,the selection of correct feedstock is a key to maximize its yield,i.e.a yield of 82.47%is possible with corn stover fed gasification.

A comprehensive review of the influence of physicochemical properties of biodiesel on combustion characteristics,engine performance and emissions

Energy is a basic requirement for development in the world.The continuously rising demand for energy resources and the fast depletion of fossil fuel is raises researcher's concern to focus on alternative sources of energy that can replace the shortage of fossil fuels soon.Biodiesel is recognized as one of the potential alternative renewable energy fuels that can be easily available in a wide range in every part of the world.This paper reviews biodiesel's prospect and focuses on the different fuel properties(physicochemical)of 100 biodiesels from first-,second-and third-generation followed by the evaluation of CI engine characteristics.It has been observed that the fuel properties of first-,second-and third-generation biodiesel are compatible with the ASTM standards.The present paper discussed the potential of various generations of biodiesel feedstocks from production perspectives.This paper also examined many aspects of these feedstocks which include different biodiesel feedstock sources,biodiesel conversion technology,and second-generation biodiesel performance and emission characteristics.Most of the studies showed that biodiesel derived from plant feedstock is costly than diesel.Thus,more influence is to be given to non-edible sources.However,the engine characteristics are shown promising behavior with biodiesel and a slight increase in NOX is also reported on using various biodiesel.