In an era of digital information, electronic technology, WWW's growing popularity and the tremendous growth of CD-ROM products, digital libraries offer a huge range of multimedia information, everything from movies, speeches, images and photos to sounds, text and beyond. The amounts of online, CD-ROMs and other digital sources of information are exploding and infrastructure for accessing material improves almost daily. In building the next generation of digital libraries, multimedia and artificial intelligence will play several important roles. The multimedia nature of digital libraries requires digital librarians for the locating of relevant information efficiently and costeffectively and disseminating it in a wide variety of a formats of digital information system (DIS). The advent of digital libraries presents a plethora of challenges and opportunities to the digital librarian. Digital librarians add value and can make digital libraries truly useful and user friendly.A digital librarian, a type of specialist information professional who manages and organizes the digital library, combines the functionality for information, elicitation, planning, data mining, knowledge mining, digital reference services, electronic information services, representation of information, extraction, and distribution of information, co-ordination, searching notably CD-ROMs, online, Internet-based WWW, multimedia access and retrieval. The ultimate goal of a DL is to facilitate access to information just-in-time to the critical wants of end users and additionally to facilitate electronic publishing.The digital librarian plays a distinctive and dynamic role in easy accessing of computerheld digital information including abstracts, AbstractStresses that the multimedia nature of the next generation of digital libraries requires the digital librarians (DL) to be essentially a type of specialist librarian who has to manage and organize the digital library, handle the specialized tasks of massive digitization, storage, access, digital knowledge mining, digital reference services, electronic information services, search co-ordination, and manage the archive and its access. The digital librarian acts as guardian of the information superhighway/the universal digital library or the global digital library and acts as a symbiotic human-machine guru. This article also highlights the roles and functions of a DL in information retrieval, content delivery, navigation, and browsing. It envisages the professional education and training for digital librarians in the management of digital information systems. It denotes the DL's interface functions, roles, skills and competencies for the management of digital information systems in the important areas of imaging technologies, optical character recognition, markup languages, cataloguing, metadata, multimedia indexing and database technology, user interface design, programming, and Web technology. This paper finally advocates and targets the task of creating a new job title ± digital librarian ± to take c...
The convolutional neural network (CNN) and other neural networks (NNs) provide promising tools for robotized characterization of tumor cells. However, the tumor growth areas in ultrasound images are normally obscure, with uncertain edges. It is not acceptable to prepare ultrasound images straightforwardly with the CNN. To solve the problem, this paper puts forward a faster region-convolutional neural network (R-CNN) to identify tumor cells with the aid of auto encoders. Taking two fully-connected layers with dropout and ReLU enactments as the base, the proposed faster R-CNN adopts 3D convolutional and max pooling layers, enabling the user to extract features from potential tumor growth areas. In addition, the thin and deep layers of the network were connected to facilitate the identification of blurry or small tumor growth areas. Experimental results show that the proposed faster R-CNN with auto encoders outperformed traditional data mining and artificial intelligence (AI) methods in prediction accuracy of tumor cells.
[Editor's note: this contribution is a presentation given by the author at the International Federation for Information and Documentation Education and Training Pre‐Conference held in Jaipur, India, 12–13 October, 1998. The complete paper in the FID/ET Proceedings was co‐authored by Dr. S.P. Sood and Smt. Prabha Krishnan. The matrix showing the knowledge base and the required computer and information literacy skills is recommended for use as a checklist by all institutions involved in education for library and information science].
lnforrnation technology plays an important role in electronic. message transfer, electronic data interchange (EDI), electronic files transfer protocols, transfer of voice, text and images through ISDN, remote electronic information access and retrieval, and the enforcement of research, education and distance learning through 'virtual global university'. In future, these information technologies can engage in interactive TV, picture phones and TV/PCs purchase. Findings of a survey, conducted to determine the potential. use, non-use and non-availability of IT service in different libraries/documentation centres are also given.
The area of crime investigation has extended its roots to cyber media and has emerged exponentially with the technological strides. Among the various media used in Digital Forensics, Email Forensics took up the leading segment. In order to investigate the cyber crimes, there is an immense need to analyze the bulky email gatherings forensically. Data mining methods help in analyzing these large collections of data. Mixtures of data mining models along with the related methodologies are proposed in this paper to facilitate the email forensic assessor. The Performance is evaluated using False Rejection Ratio (FRR) and False Acceptance Ratio (FAR).
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