Sending and Receiving Internet Messages from Disconnected Areas

Over 62% of the world is connected to the internet with more than 6.9 billion smartphone users. The omnipresence of technology in the form of the internet and smartphones have led to constant research in improving communication throughout the world. But even today, 37% (2.9 billion people) are not connected to the internet even though most of the people in such areas have smartphones. To solve this problem of access to internet services in disconnected areas, a software-only mobile-first approach has been proposed for disconnected data distribution infrastructure which can support different internet applications in limited connectivity. A prototype application based on Signal Messenger has been created to allow users to send and receive internet messages without the need for internet connectivity. This solution can help bridge the digital divide, improving access to critical communication services in disconnected areas

Design a Product Aspect Ranking Framework and Its Applications

Today lots of consumer reviews about products are present on the Internet. Consumer reviews reflect important knowledge about product that will be helpful for firms as well as users. The reviews are most of times not organized properly that going to difficulties in information and knowledge gaining. We proposes a product aspect ranking framework, that automatically determines the important aspects of products by using online consumer reviews, improving the usability of the frequent given reviews. The important aspects about product are determined depends on two observations: 1) the important aspects are often comment by numerous consumers 2) consumer opinions on the important aspects largely affect their overall opinions on the product. With the help of given consumer reviews of a product, we firstly identify aspects of product by shallow dependency parser and identify consumer opinions on these aspects by a sentiment classifier. After that developing a probabilistic aspect ranking to grab the importance of aspects by concurrently considering aspect frequency and the impact of consumer opinions given to every aspect over their allover opinions. We apply this ranking framework to two real-world applications, i.e., document-level sentiment classification and extractive review collection, that show significant performance improvements, that leads in giving the strength of product aspect ranking in promoting real-world applications

Reduction of Peak to Average Power Ratio using Selective Mapping Technique of an OFDM Signal: An Analysis

Orthogonal Frequency Division Multiplexing (OFDM) is a optimistic and very popular modulation technique in multicarrier domain which is quite promising regarding the issues of interferences present in next generation mobile communication systems. It deployed in the area where high data rate and low latency required while efficiency will be as better as possible. The critical problem in OFDM system is maintaining low PAPR (peak to average power ratio) because it reduces the performance of system. There are several techniques which are used to overcome problem of high PAPR in OFDM modulation system. One of the techniques is Selective Mapping (SLM) which comes in distortion less criteria. In this paper analysis of PAPR reduction of an OFDM system for distortion less transmission criterion is shown. We have also used some mathematical equations to calculate and simulate its performance. It’s also shown that SLM method grants the user a better PAPR reduction while having high complex circuitry

The future Clean Energy Harvesting by Wind Power Generation

The electricity generation today is the major issue toward development of human mankind. The current electricity generation depends almost completely on the fissile fuels like coal, petroleum products etc. we are using it in very large scale resulting in pollution and high cost of electricity. The non-conventional methods like solar & wind is being developed on the scale where its use is affordable and pollution free, without any side effects. In this paper we have discussed the basics of wind power generation and the technologies involved in the process. The overall energy harvesting by wind power plants and transmitting it into usable form can solve the electricity problems, In country like India where electricity demand is estimated to increase at least 30% in next 5 to 10 years. This process involves the complex engineering and out of which some of the basics aspects like capacity , stricter of turbines, Synchronous generators are discussed briefly along with the basic components of the Wind Power Generation. DOI: 10.17762/ijritcc2321-8169.15015

Realtime video survillence and analytics

Providing smart and intelligent security solutions for home as well as large business is a challenging task, in recent this is a currently a booming topic in the IT industry or in almost every area, where today’s challenges are different the end user needs to have a intelligent solution as well as a cheap price to pay. We therefore represent a software system which uses traditional hardware but has new modern features like object recognition, Intrusion detection, video analytics, Real-time video feed over smart phone. It aims at alerting the user as quick as possible so that the user can stop any unwanted activity going on in the video frame or alert the police.it is believed that using a traditional video surveillance systems a lot of unwanted video data is stored and this causes a lot of memory wastage, and even there is no possible way of use of artificial intelligence and video analytics capability. This decreases the citizen security as well as the capability of the system is not fully used. We have a feature of real-time broad casting the live suspicious video feed to the authenticated user by use of mobile devices such as PDA, Smart phone, Tablets so the user can access the video feed anywhere, any time on any device. The user can also turn on and off the notification and some features or even increase the resolution, zoom in and zoom out. The system uses mechanisms such as deep learning, artificial intelligence, and video analytics to perform the above tasks

A modified lognormal approximation of the Lyman-α\alpha forest: comparison with full hydrodynamic simulations at 2≤z≤2.72\leq z\leq 2.7

Observations of the Lyman-$\alpha$ forest in distant quasar spectra with upcoming surveys are expected to provide significantly larger and higher-quality datasets. To interpret these datasets, it is imperative to develop efficient simulations. One such approach is based on the assumption that baryonic densities in the intergalactic medium (IGM) follow a lognormal distribution. We extend our earlier work to assess the robustness of the lognormal model of the Lyman-$\alpha$ forest in recovering the parameters characterizing IGM state, namely, the mean-density IGM temperature ($T_0$), the slope of the temperature-density relation ($\gamma$), and the hydrogen photoionization rate ($\Gamma_{12}$), by comparing with high-resolution Sherwood SPH simulations across the redshift range $2 \leq z \leq 2.7$. These parameters are estimated through a Markov Chain Monte Carlo technique, using the mean and power spectrum of the transmitted flux. We find that the usual lognormal distribution of IGM densities cannot recover the parameters of the SPH simulations. This limitation arises from the fact that the SPH baryonic density distribution cannot be described by a simple lognormal form. To address this, we extend the model by scaling the linear density contrast by a parameter $\nu$. While the resulting baryonic density is still lognormal, the additional parameter gives us extra freedom in setting the variance of density fluctuations. With this extension, values of $T_0$ and $\gamma$ implied in the SPH simulations are recovered at $\sim 1-\sigma$ ($\lesssim$ 10%) of the median (best-fit) values for most redshifts bins. However, this extended lognormal model cannot recover $\Gamma_{12}$ reliably, with the best-fit value discrepant by $\gtrsim 3-\sigma$ for $z > 2.2$. Despite this limitation in the recovery of $\Gamma_{12}$, we argue that the model remains useful for constraining cosmological parameters.Comment: 17 pages, 8 figure