Security and usability of web and mobile applications where users share their personal information have become to be a factor about which users should be careful. Rapid increase of developers, programming at early ages, desire for earning money by working freelance have caused widespread  use of web and mobile applications and an increase of codes which contain vulnerabilities. Safe and good software development is also based on software lessons given to the students in high school or college years. This paper presents a developed testing and evaluation software in order to find out the leakages in the web applications which was developed by using asp.net, php and java languages. It is aimed that the developed analysis tool was designed to be used by engineering students as a training tool, in security courses by trainees and by programmers for testing. Within the scope of the study, security tests of web projects were carried out with static code analysis method in input control, metric analysis and style control phases. For testing the developed software tool, student web projects were used which were downloaded from "www.freestudentprojects.com" website. 10 test projects were tested in the stages of input control, metric analysis and style control. According to the results of the analysis, the errors were concentrated on Structural Query Language Injection and Cross Site Scripting attacks, which were developed by the students due to the lack of security audit in the projects.

In the paper is proposed an induction machine model that corresponds to operating conditions at the change of frequency. The applicability of simulation method for the analysis of its operation at the frequencies other than 50 Hz was examined. The operation of the induction machine which control parameter is the frequency of controlled current was particularly analyzed. 

The evaluation of the proposed model was performed using the adapted subprogram in the psbdrive MATLAB Simulink package. For the verification of the results, the method of verified simulation was used, as a part of the method which was derived from the artificial intelligence algorithm. It has been confirmed that by controlling the frequencies and current of the induction machine, the ability to work in overloads can be maintained and this type of control has certain advantages in the frequency regulation of the drive with variable loads.

Over the last few years, the amount of video data has increased significantly. So, the necessity of video summarization has reached a new level. Video summarization is summarizing a large video with a fewer number of frames keeping the semantic content same. In this paper, we have proposed an approach which takes all the frames from a video and then shot boundaries are detected using the color moment and SURF (Speeded Up Robust Features). Then the redundancy of the similar frames is eliminated using the color histogram. Finally, a summary slide is generated with the remaining frames which are semantically similar to the total content of the original video. Our experimental result is calculated on the basis of a questionnaire-based user survey which shows on average 78% positive result whereas 3.5% negative result. This experimental result is quite satisfactory in comparison with the existing techniques.

This survey study evaluates the peoples’ acceptance and comfortability on accessing the HIV/AIDS healthcare information through visiting HIV/AIDS Care and Treatment Centers (CTCs). Furthermore, the survey examines whether a mobile application platform can be the way forward towards enhancing HIV/AIDS healthcare information delivery in Tanzania. This study was conducted in Dar es Salaam city in Tanzania. The structured questionnaire-based survey was carried-out involving a total of 208 respondents, among them, 45 were the HIV/AIDS healthcare practitioners. The collected data were analyzed by using WEKA and Python computer programming software. The study findings indicated that: 24.5% of the respondents claimed that they were not comfortable going to HIV/AIDS CTCs indicating that they were afraid of being exposed and stigmatized; almost one-third (31.3%) of respondents prefer to seek HIV/AIDS related information from online sources; 78.5% of respondents preferred to have an official mobile application for access the HIV/AIDS healthcare information; 64.4% of HIV/AIDS practitioners indicated the need of having a mobile application platform for HIV/AIDS healthcare information delivery; and more than two-third of HIV/AIDS practitioners claimed to be able to serve people with HIV/AIDS healthcare information online. It is concluded that there is a need for the HIV/AIDS healthcare providers to have a mobile application platform for HIV/AIDS healthcare information delivery. The mobile application platform will consequently help people to confidentially access the HIV/AIDS healthcare information in their mobile electronic gadgets frequently without fear of being exposed as if they would frequently visit CTCs.

An interactive communication is the basic motivation behind a smart communication system, which requires simultaneous downlink and uplink feature. Smart LNB is a popular discussion which is leading towards Know Your DTH (KY-DTH). A low noise block-downconverter (LNB) is the signal receiving device used for satellite TV reception mounted on the satellite dishes. For broadcasters, this smart LNB opens the door to operate their own linear TV ecosystem and other services connected directly by satellite. This new generation Smart LNB comprises of both transmitter and receiver to provide interactive TV experiences and M2M services, unlike LNB. Having uplink and downlink capability, it enables full duplex communication leading various additional applications like live interactions; live viewing; TV servicing for 24 hours; solutions for remote monitoring; control in mission critical applications in the energy and utility sectors; natural gas monitoring; Smart grid; etc. DVB-S2 source and sink are analyzed using Agilent SystemVue platform. This paper describes the study and design of a smart low noise block downconverter (LNB) used for satellite communication, transmission in Ka band (29.5 to 30 GHz) and reception in Ku band (10.7 to 12.75 GHz). The LNB design is compromised importance characteristics like Spectrum comparison. The proposed design will result in enhancement of working lifetime of the Smart LNB system with capability to receive all signals within the range. The designed and simulated process were done using Agilent SystemVue. A summary of simulation work and result over the Smart LNB in Ka and Ku band is illustrated.

With the growth in the communication over Internet via short messages, messaging services and chat, still emails are the most preferred communication method. Thousands of emails are been communicated everyday over different service providers. The emails being the most effective communication methods can also attract a lot of spam or irrelevant information. The spam emails are annoying and consumes a lot of time for filtering. Regardless to mention, the spam emails also consumes the main allocated inbox space and at the same time causes huge network traffic. The filtration methods are miles away from perfection as most of these filters depends on the standard rules, thus making the valid emails marked as spam. The first step of any email filtration should be extracting the key phrases from the emails and based on the key phrases or mostly used phrases the filters should be activated. A number of parallel researches have demonstrated the key phrase extraction policies. Nonetheless, the methods are truly focused on domain specific corpuses and have not addressed the email corpuses. Thus this work demonstrates the key phrases extraction process specifically for the email corpuses. The extracted key phrases demonstrate the frequency of the words used in that email. This analysis can make the further analysis easier in terms of sentiment analysis or spam detection. Also, this analysis can cater to the need for text summarization. The proposed component based framework demonstrates a nearly 95% accuracy.

We explore Apache Spark, the newest tool to  analyze big data, which lets programmers perform in-memory computation on large data sets in a fault tolerant manner. MapReduce is a high-performance distributed BigData programming framework which is highly preferred by most big data analysts and is out there for a long time with a very good documentation. The purpose of this project was to compare the scalability of open-source distributed data management systems like Apache Hadoop for small and medium data sets and to compare it’s performance against the Apache Spark, which is a scalable distributed in-memory data processing engine. To do this comparison some experiments were executed on data sets of size ranging from 5GB to 43GB, on both single machine and on a Hadoop cluster. The results show that the cluster outperforms the computation of a single machine by a huge range. Apache Spark outperforms MapReduce by a dramatic margin, and as the data grows Spark becomes more reliable and fault tolerant. We also got an interesting result that, with the increase of the number of blocks on the Hadoop Distributed File System, also increases the run-time of both the MapReduce and Spark programs and even in this case, Spark performs far more better than MapReduce. This demonstrates Spark as a possible replacement of MapReduce in the near future.