Informatics Publishing Limited

V. Prasad ¹, T. Srinivas Rao ², M. Surendra Prasad Babu ³

Affiliations
1 Department of CSE , Raghu Institute of Technology, Visakhapatnam, AP, IN
2 Department of CSE , Gitam Institute of Technology, Gitam University, Visakhapatnam, AP, IN
3 Department of CS & SE , AU College of Engg(Autonomous), Andhra University, Visakhapatnam, AP, IN

Abstract

The paper deals with the target of striving for a disease free zone for farm animals using machine learning techniques. For the disease free zone creation,  LEAS( Livestock Expert Advisory System)  is a method for offline browsing with an optimistic approach that maintain  medical treats, prevention and curing methods for an acquired disease, a built of livestock expert advisory system was developed with artificial intelligence techniques. System produces optimistic disease which is reliable to the entered symptoms, along with the curing methods. It consists of hybrid implementation of three mechanisms namely Rule-Based System [1], Artificial Bee Colony Optimization (ABC)[2]and Particle Swarm Optimization (PSO)[3]. Livestock expert system is a hybrid architecture which consists of knowledge base information.

Keywords

Livestock, Expert Advisory System, Rule Based System, Particle Swarm Optimization, Artificial Bee Colony Optimization, Medical Diagnosis, Farm Animals, Hybrid Architecture, JSP, MYSQL.

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B. Raviteja ¹, M. Surendra Prasad Babu ², K. Venkata Rao ², J. Harikiran ¹

Affiliations
1 Department of Information Technology, Gandhi Institute of Technology and Management, Beach Road,Gandhi Nagar, Rushikonda, Visakhapatnam – 530045, Andhra Pradesh, IN
2 Department of Computer Science and Systems Engineering, Andhra University, Waltair Junction,Visakhapatnam – 530003, Andhra Pradesh, IN

Abstract

Hyperspectral imaging system contains stack of images collected from the sensor with different wavelengths representing the same scene on the earth. This paper presents a framework for hyperspectral image segmentation using a clustering algorithm. The framework consists of four stages in segmenting a hyperspectral data set. In the first stage, filtering is done to remove noise in image bands. Second stage consists of dimensionality reduction algorithms, in which the bands that convey less information or redundant data will be removed. This deletion will decrease the storage requirement, computational load etc in processing the hyperspectral data. In the third stage, the informative bands which are selected in the second stage are merged into a single image using hierarchical fusion technique. The main goal of image fusion is to combine all the information from the selected image bands to form a single image. This single image is segmented using Fuzzy C-means (FCM) algorithm. The qualitative and quantitative analysis shows that this framework will segment the data set more accurately by combining all the features in the image bands.

Keywords

Dimensionality Reduction, Empirical Mode Decomposition, FCM, Hyperspectral Imaging.

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B. Vijaya Babu ¹, M. Surendra Prasad Babu ², Y. Chetan Prasad ¹

Affiliations
1 Department of IST, K.L. College of Engineering, Vaddeswaram-522 502, IN
2 Department of CS&SE, College of Engineering, Andhra University, Visakhapatnam, IN

Abstract

Broad web search engines as well as many more specialized search tools rely on web crawlers to acquire large collections of pages for indexing and analysis. Such a web crawler may interact with millions of hosts over a period of weeks or months, and thus issues of robustness, flexibility, and manageability are of major importance. In addition, I/O performance, network resources, and OS limits must be taken into account in order to achieve high performance at a reasonable cost. Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of web pages reachable purely by following hypertext links, ignoring search forms and pages that require authorization or prior registration. In particular, they ignore the tremendous amount of high quality content “hidden” behind search forms, in large searchable electronic databases. Also even if there is good data collection that has been indexed we would be able to look at those sites having these info only if we are connected to the internet and may be the days where hourly based nets used to be major providers of internet are gone, these days the broadband facilities, high speed net connections are available to the common man. But, the growth in the usage of laptops is even growing at same pace, in that case one may not be able to access the net where ever he moves and if any important pages on the net in a particular web site would be of no use even he has good configuration, as still it takes time for the wi-fi networks to come in to full swing, until then saving every page of a particular website may be a hectic task. In this paper, would provide a framework for addressing the problem of browsing the web even when offline.

Keywords

Web Crawler, Search Engine, Indexer, Frontier, Crawl Manager.

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B. Vijaya Babu ¹, M. Surendra Prasad Babu ², P. Sunitha ³

Affiliations
1 Department of IST, KLCE, Vaddeswaram - 522 502, IN
2 Department of CS & SE, College of Engineering, Andhra University, Visakhapatnam, IN
3 Department of CSE, PVPSIT, Vijayawada - 520 010, IN

Abstract

Revolutionary changes took place in the modern communication world. Mobiles and internet have changed the way people communicate with each other. Nowadays every busy person has many devices for communicating with others such as a mobile phone, a telephone and a PC at his home, a telephone and a PC at his office etc. People call using a telephone or PC to communicate with that particular user according to their convenience (using the device which is along with them). But the user may not be present at that particular device. Hence the user may have to loose some calls. Those calls may be very important or urgent calls. This paper ICR aims to solve the above problem. In order to avoid this problem we should route the call to the current user location irrespective of the device used by the other user. We check the current location of the user and route the call to that location. For this we maintain a schedule for every user in the database provided in the server of the service provider. Whenever call comes to a particular user it checks the schedule of that user, finds his location and routes the call to that location. Hence this application can also be called as Schedule Based Calling. For implementation of this application we require a protocol which works for all the devices in order to create a session between any two different devices. Hence we use Session Initiation Protocol (SIP). Session Initiation Protocol is an application layer control signaling protocol used to create (initiate), modify and terminate sessions. Session represents the type of data transfer between two devices such as audio, video etc. SIP only initiates, modifies and terminates sessions. It does not provide any information about data transfer. Data transfer is done using other protocols such as RTP, RTSP etc. type of session is defined by Session Description Protocol (SDP).

Keywords

Session Initiation Protocol(SIP), Intelligent Call Routing,H.323, User Agent Client, User Agent Server, HTTP, Proxy sever, MGCP, PSTN, Forking.

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B. Vijaya Babu ¹, M. Surendra Prasad Babu ², P. Sunitha ³

Affiliations
1 Department of IST, KLCE, Guntur, IN
2 Department of CS&SE, College of Engineering, Andhra University, Visakhapatnam, IN
3 Department of CSE, PVPSIT, Krishna, IN

Abstract

Ambient Intelligence devices are developed from Ubiquitous computing and communications and Intelligent User –friendly Interfaces. Ambient Intelligence refers to electronic environments that are sensitive and responsive to the presence of people. These devices provide vocal interaction with users but serve only a single-user Environment. H. 323 is a standard that specify many components, protocols and procedures that serve establishing multi-user communication. In our research, we embedded supportive H. 323 components to those of ambient device architecture and proposed a new architecture that supports multi-user communication environment through Ambient Intelligent devices. We threw light on advantages of using H.323 over other protocols.

Keywords

Ambient Intelligence (AmI), Eso-Endo Sensors, H.323; Multi-Point Control Units (MCUs).

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