SMS Text Compression through IDBE (Intelligent Dictionary based Encoding) for Effective Mobile Storage Utilization

Effective storage utilization is the key concept for better working of any operating system. Even operating systems used for mobile phones are not an exception for this fact. This paper proposes a technique for maximizing the utilization of the storage space present in mobile phones. Thus it is important to utilize the space occupied by SMS files in phone’s memory, which take maximum space. The objective involved is designing a semantic dictionary based on Intelligent Dictionary Based Encoding (IDBE) which provides a high text compression ratio to utilize the space in phone’s memory. When SMS file will be received, English words present in the text will be replaced by the respective short words in the designed semantic dictionary. Thus replacing English words by the respective short forms reduces the space occupied by the SMS file. The paper describes the IDBE Compression Techniques for SMS Text Compression

A Review: Implementation of Web Security Mechanisms using Vulnerability & Attack Injection

In this paper we propose a theory and a model mechanical assembly to survey web application security instruments. The methodology is in perspective of the prospect that mixing sensible Vulnerabilities in a web application and attacking them normally can be used to support the assessment of existing security frameworks and mechanical assemblies in custom setup circumstances. To give reliable with life comes to fruition, the proposed powerlessness and attack mixture technique relies on upon the examination of a sweeping number of vulnerabilities in authentic web applications. Despite the non-particular approach, the paper depicts the Vulnerability's utilization and Attack Injector Tool (VAIT) that allows the entire's robotization process. We used this instrument to run a game plan of trials that display the feasibility and the reasonability of the proposed methodology. The examinations join the appraisal of degree and false positives of an interference acknowledgment structure for SQL Injection strikes and the feasibility's assessment of two top business web application vulnerability scanners. Results show that the implantation of vulnerabilities and ambushes is to make certain a feasible way to deal with evaluate security segments and to raise their weaknesses and also courses for their change

Microstrip Patch antenna for ISM band applications

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Performing Web security mechanism for websites using Vulnerability & Attack Injection

In this paper we proposed a framework model instrument to assess web application security components. The approach depends on the possibility that infusing reasonable vulnerabilities in a web application and assaulting them naturally can be utilized to bolster the appraisal of existing security components and devices in custom setup situations. To give consistent with life comes about, the proposed defenselessness and assault infusion technique depends on the investigation of countless in genuine web applications. To expel the vulnerabilities by executing a solid Vulnerability and Attack Injector Tool (VAIT) for securing web applications

Measurements on Stationary Source Emissions and Assessing Impact on Ambient Air Quality around Two Indian Refineries

Emissions of particulate matter (PM), SO2 and NO2 from stationary sources and their concentration along with benzene and CO in ambient air around two Indian refineries were studied. Prediction of ground level concentration (GLC) of SO2, NO2 and PM was made by dispersion modeling. In Refinery 1, highest SO2 emission (646 mg Nm-3) were detected in Sulphur Recovery Unit while NOx emissions ranged from 57.8 to 445.0 mg Nm-3, respectively from various units. In Refinery 2, highest SO2 emission (935 mg Nm-3) was observed from Utility Boiler while NO2 emissions ranged from 13 to 235 mg Nm-3. Above emissions were within the stipulated emission standards prescribed by Central Pollution Control Board of India. Further, ambient concentrations of the above in the vicinity of these refineries were below their prescribed national ambient air quality standards. Air quality in terms of air quality index (AQI) was moderate or good at the study sites. Dispersion modelling exercise indicated that the observed GLC of SO2 and NO2 could be reasonably predicted by ISC-AERMOD model for both refineries while there was moderate to substantial difference between observed and modeled PM values due to presence of several sources of particulate emissions in the region that could not be considered in the model

Certificate Based Encryption for Securing Broker-Less Publish/Subscribe System in Wireless Network

ABSTRACT: The security mechanisms such as authentication and confidentiality is highly challenging in a contentbased publish/subscribe system and due to the loose coupling of publishers and subscribers, authentication and confidentiality of publishers and subscribers is difficult to achieve. In particular content-based approaches in brokerless environments do not address confidentiality at all. This paper presents to provide confidentiality and authentication in a broker-less content-based publish-subscribe system. The authentication and confidentiality and other security approach of publishers and subscribers ensured, by adapting the certificate based encryption mechanism. In certificate based encryption signature not only acts as certificate but also as encrypt and decrypt key. To encrypt or to decrypt a message, a key holder needs both its public key and private key and an up-to-date certificate from an authorizer. Certificate-based encryption combines the best aspects of identity-based encryption and public key encryption. This mechanism describes how certificate-based encryption can be used to construct an efficient PKI requiring fewer infrastructures than any previous method

Long Term Variations of the Atmospheric Air Pollutants in Istanbul City

High population density and intense industrial activity has resulted in various forms of pollution in megacities. Air pollution ranks at the top of this list. This study investigated long-term changes in air pollutant parameters (SO2, CO, NO, NO2, NOx) in Istanbul City, Turkey, using data from air-quality measurement stations on the Asian and European sides of Istanbul. The results show decreases from 2002 to 2010 in the amounts of SO2 (one of the main pollutants released as a result of the burning of fossil fuels) and CO (indicative of incomplete combustion). However, NOx concentrations showed fluctuations over time, rather than a steady decline throughout the study period

Determining Heavy Metal Contamination of Road Dust in Delhi, India

Air pollution has been considered one of the major environmental challenges because of its effect on ecosystems and human health. The concentration levels and sources of heavy metals contamination were studied in road dust samples collected from various locations including four different activity areas: industrial, highways, residential and mixed use in Delhi, India. Total content of Cd, Cr, Cu, Ni, Pb, and Zn were analyzed by ICP-AES. The results showed high concentration levels of Ni, Cr and Pb in industrial areas. Pearson’ correlations coupled with Principal component analysis revealed that Cd, Cr, Ni and Pb are associated with industrial sources whereas Zn and Cu are mainly contributed by vehicular traffic. Road dust contamination was assessed by various methods: degree of contamination, potential ecological index and pollution index. Contamination factor analysis showed that road dust samples are significantly contaminated by Zn and Pb. Potential ecological indexes indicated high contamination of Cd while moderate contamination of Pb in road dust, but low contamination of Cr, Cu, Ni and Zn. Pollution index of most of the metals were higher than 1 indicating deterioration of road dust quality of Delhi city due to anthropogenic emissions. Degree of contamination, potential ecological index and integrated pollution index reveal that the road dust from the industrial area, mixed use area and highway are highly contaminated by the heavy metals. The road dust from the residential area is also contaminated considerably. Evaluations by various methods indicated that all assessment methods are important for environmental quality evaluation

Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico

Salamanca is cataloged as one of the most polluted cities in Mexico. In order to observe the behavior and clarify the influence of wind parameters on the Sulphur Dioxide (SO2) concentrations a Self-Organizing Maps (SOM) Neural Network have been implemented at three monitoring locations for the period from January 1 to December 31, 2006. The maximum and minimum daily values of SO2 concentrations measured during the year of 2006 were correlated with the wind parameters of the same period. The main advantages of the SOM Neural Network is that it allows to integrate data from different sensors and provide readily interpretation results. Especially, it is powerful mapping and classification tool, which others information in an easier way and facilitates the task of establishing an order of priority between the distinguished groups of concentrations depending on their need for further research or remediation actions in subsequent management steps. For each monitoring location, SOM classifications were evaluated with respect to pollution levels established by Health Authorities. The classification system can help to establish a better air quality monitoring methodology that is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilitate the pollutants reduction