Implementation of WAP Technology in Hospital Premises: A Proposed Approach

wireless application protocol (WAP) is now the leading standard for information services and provides a better environment to significantly improve the wireless data market. In this paper, the author proposed and analyzed a novel approach for sharing & distributing information between patients and doctors in order to reduce the inconvenience and enhance quality of information in hospitals by using wireless application protocol (WAP) technology. This paper describes a WAP network for distributing information to ensure that patients and doctors can access information at any time and any location on adhoc basis; they only need a mobile phone. Patients mostly agreed WAP service is possible to utilize some of the Hospitals problems in providing useful information such as timings of doctors, booking an appointment, alerts of Lab reports, notification of medications, announcement, news and about different specialists. Also getting notification about their appointments & surgeries will benefit the doctors. Therefore, Hospital campus can provide and offer information for mobile users as value added services.

A HMM improved Neighbor Node Analysis Approach in Mobile Network

Prediction of Breast Cancer Biopsy Outcomes an Approach using Machine Leaning Perspectives

An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions

A Novel Ensemble based Cluster Analysis using Similarity Matrices and Clustering Algorithm (SMCA)

today's world data analytics is gaining popularity due to user's motivation towards online data storage. This storage is not organized because of content types and data handling schemes complexity. User aims to retrieve data in lesser time with logical outcomes as desired can be achieved by applying data mining. Clustering in data mining is one of the known categorization approach used for formation of groups of similar elements having certain properties in common with other elements. This formation sometime creates noisy result in terms of formatted clusters. It depends on various factors such as distance measures, proximity values, objective functions, categorical or numerical attribute types etc. Over the last few years various schemes are suggested by different authors for improving the performance of tradition clustering algorithms. Among them, one is ensemble based clustering. Ensemble uses the mechanism for criteria selection from newly formed clusters with a defined portioning and joining methods to generate a single result instead of multiple solutions. The generation results are affected by various environmental parameters such as number of cluster, partitioning types, proximity values, objective function etc. This paper propose a novel SMCA based ensemble clustering algorithm for improvements over the existing issues defined in the paper. At the primary level of work and analytical evaluations, it shows the promising results in near future.

Bat Algorithm with Self-adaptive Mutation: A Comparative Study on Numerical Optimization Problems

mimic the collective intelligent behavior found in swarms of insects and animals. Many algorithms have been proposed that simulate these intelligent swarm models to solve a wide range of scientific and engineering problems. The Bat algorithm is one of the most recent swarm intelligence based algorithms that simulates the intelligent hunting behavior of the bats found in nature. In this paper, we present an improved self-adaptive Bat algorithm (BA-SAM) for the problem of global numerical optimization over continuous domains. We have introduced two improved solution search equations — the BA/Normal/1 and BA/Cauchy/1 schemes. We have also used a selection probability to control the frequency of employing BA/Normal/1 and BA/Cauchy/1, which leads to a new self-adaptive search mechanism for the Bat algorithm. Experiments are conducted on both unimodal and multimodal continuous benchmark functions. The results demonstrate the improved performance of the BA-SAM algorithm in comparison to the original Bat algorithm and another recently introduced improved variant of the Bat algorithm.

Ship Exhaust Real-Time Monitoring System based on Automatic Identification System

Maritime traffic is a major source of pollutant gases and we believe that it is important to quantify these gases in order to assess their impact on the environment. This paper proposes a maritime monitoring system able to estimate in real time the emissions of carbon dioxide (CO2) and particulate matter (PM) from ships crossing the Strait of Gibraltar area. The system works based on the Automatic Identification System (AIS) : it consists of an AIS receiver connected to a computer in which was installed an application able to determine, store and display emissions from ships. The computer application was performed according to a method for estimating CO2 and PM emissions from AIS data. The system was installed near the Strait of Gibraltar (exactly in Tangier Morocco) and tests were carried out for about a month (between March 26 and April 23, 2014). The system recorded emissions from 900 to 4000 tons of CO2 and 2 to 9 tons of PM each day.

Effect of Optical Filtering for Error-free Transmission in Optical Networks

Assessment of Municipal Solid Waste Management of Pune City using Geospatial Tools

provided by municipal authorities in the country to keep cities clean. Due to industrialization, rural to urban migration and high growth rate of population have induced rapid urbanisation in developing countries and obviously in India also. The haphazard urbanisation created acute problem of solid waste management. The per capita waste generation rate in India has increased from 0.44 kg per day in 2001 to 0.5 kg per day in 2011; such a steep increase in waste generation within a decade has severed the stress on all infrastructural, natural and budgetary resources. Pune is one of the fastest developing city, it generates total quantity of waste is about 1300 to 1400 metric tons per day. So, there is need of the proper waste collection, transportation route for prevention of environment form the hazardous waste disposal. The proposed work emphasizes on the assessment of detail process of solid waste management such as collection, storage, segregation, transportation, treatment and disposal by using Geospatial tools like RS, GIS and GPS. It may help in sustainable urban environment of Pune city.

Efficient Accordion DWT based Video Coding

Among all multimedia applications, transmission of video frames requires large bandwidth and more bytes for storage. To reduce transmission bandwidth and storage memory, video compression is necessary. The proposed technique compresses the video by reducing the spatial, spectral and temporal redundancies of the input video. Considerable amount of redundancy is often present between a set of frames since only a small portion of each frame is involved with any motion that is taking place. It is called temporal redundancy. Accordion is a method that converts the temporal redundancy into the spatial redundancy. Transformation of the video from 3D to 2D that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion recompense step. Accordion transformation converts the spatial and temporal correlation of the video signal into a high spatial correlation. This technique transforms each group of pictures(GOP) into one picture with high spatial correlation.The main advantage of applying Discrete Wavelet Transform(DWT) is to achieve high compression while maintain reconstruction quality. Since, the large data block size is considered compared to Accordion-Discrete Cosine Transform (ACC-DCT); there will be less probability of occurrence of the blocking artifact. The compression ratio was found more for those videos having less motion and viceversa. Many experimental tests have been conducted to prove the technique efficiency especially in high bit rate and with slow motion video. Since motion is low, temporal redundancy is high and it is expected that ACCDWT becomes efficient. General Terms Video compression, temporal redundancy