Envisioning Information

College & Research Libraries News, 2019

Thala

Journal of Structural Chemistry, 1991

As we move ahead in technology advancements, from simple data processing, to intelligent computing, one area of research undergoing advancement, is the system of reading text characters on an image. Optical Character Recognition (OCR) system is used for converting text characters on images into computer editable text characters. It includes steps such as Image acquisition, pre-processing of the image, segmentation of lines and characters, recognition of characters, and finally application. The image acquisition step determines the method for obtaining the image. Pre-processing of image includes enhancement of the image to make it suitable for recognition. Segmentation is the extraction of the character part of the image. Recognition is the comparison of the sample image with the template image. This paper focuses on the OCR system and includes information regarding the various operations that may be performed on the image for the recognition of characters.

Speech recognition is the next big step that the technology needs to take for general users. An Automatic Speech Recognition (ASR) will play a major role in focusing new technology to users. Applications of ASR are speech to text conversion, voice input in aircraft, data entry, voice user interfaces such as voice dialing. Speech recognition involves extracting features from the input signal and classifying them to classes using pattern matching model. This can be done using feature extraction method. This paper involves a general study of automatic speech recognition and various methods to generate an ASR system. General techniques that can be used to implement an ASR includes artificial neural networks, Hidden Markov model, acousticphonetic approach

Context: Requirement traceability (RT) is defined as the ability to describe and follow the life of a requirement. RT helps developers ensure that relevant requirements are implemented and that the source code is consistent with its requirement with respect to a set of traceability links called trace links. Previous work leverages Parts Of Speech (POS) tagging of software artifacts to recover trace links among them. These studies work on the premise that discarding one or more POS tags results in an improved accuracy of Information Retrieval (IR) techniques.

Today's world contain of a large variation of people. Mostly disability person is depends upon other for their living. But in the today's fast developing world, people is busy in work so that they don't have enough time for physically challenged people.The main aim this system physically challenged people can move inside the home without any trouble. In this system voice recognition system used for physical challenge people so person move from one place to another place with the ease. In the voice navigation system voice from physical handicapped match with the predefined store voice then the chair will move with accepted direction. According to the received voice, the wheelchair is automatically understood end point and the wheelchair moves according to the path which is predefined in system. It is contains obstacle avoidance technique.

Theoretical Location is rapidly transforming into the application as area empowered mobile handheld duplicate devices. One class of applications that has yet-to-create is those in which users have a force to lie about their location. These applications can't depend independently on the user's gadgets to discover and transmit location data in light of the way that users have a helper to swindle. Maybe, such applications require their users to show their locations. Today's mobiles clients neglect to offer a framework to show their current then again past location. In hate of the way that locations based applications have existed for a couple quite a while, affirming the rightness of a customer's declared locations is a test that has pretty much starting late got thought in the investigation bunch. Continued with advances in mobiles frameworks and arranging developments have made a strong business push for locations based applications. Cases fuse area mindful emergency response, locations based notification, and locations in light of entertained. A key test in the wide association of Location-Based Services (LBS) is the security careful organization of locations data. The late work in imparted media content what's more, sensed information made by versatile end-clients is trying settled gauges likewise assumptions in information trust models. A focal issue addresses in this paper is the way by which to fabricate some trust level in the realness of substance made by untrusted locations users. In this it handle the issue of discovering noxious users by putting away IMEI number while user registration. In this way framework saving security in compensating framework that implies redemption system. This number is encoded and put away in central controller. Token distributor and token collector are utilized for remunerating.