Monolithic parallel processor, phase 1A

A four-bit parallel processor LSI array was designed and fabricated using COS/MOS integrated-circuit technology. The design features include the provision for interconnecting groups of parallel-processor chips to form an expanded processor of any desired word length. This 800-transistor "computer on a chip' circuit has the logic capability of a medium-size, medium-speed, general-purpose computer suitable for sophisticated scientific data processing. The ability to fabricate this device repetitively was demonstrated

Architecture and data processing alternatives for the TSE computer. Volume 2: Extraction of topological information from an image by the Tse computer

A simple programmable Tse processor organization and arithmetic operations necessary for extraction of the desired topological information are described. Hardware additions to this organization are discussed along with trade-offs peculiar to the tse computing concept. An improved organization is presented along with the complementary software for the various arithmetic operations. The performance of the two organizations is compared in terms of speed, power, and cost. Software routines developed to extract the desired information from an image are included

Ego balloon experiment data processor

Ego balloon experiment data processo

NEW APPROACH OF SIGNED BINARY NUMBERS MULTIPLICATION AND ITS IMPLEMENTATION ON FPGA

This paper proposes a new model of signed binary multiplication. This model is formulated mathematically and can handle four types of binary multipliers: signed positive numbers multiplied by signed positive numbers (SPN-by-SPN); signed positive numbers multiplied by signed negative numbers (SPN-by-SNN); signed negative numbers multiplied by signed positive numbers (SNN-by-SPN); and signed negative numbers multiplied by signed negative numbers (SNN-by-SNN). The proposed model has a low complexity algorithm, is easy to implement in software coding and integrated in a hardware FPGA (Field-Programmable Gate Array), and is more powerful compared to the modified Baugh-Wooley's model

Design and Implementation of NLP-based Conversational CHATBOT Framework in Higher Education

The increasing use of technology is changing the way students learn and absorb information. Hence, educational institutions also need to accelerate their student communication process to draw the attention of this fast-paced generation. The project here aims to harvest better teacher-student relationships and to prepare students for personalised learning by developing a convincing chatbot to assist pupils in their queries related to common operations in numerical base 2 or binary operations with general information operations. Background research on various web applications and chatbot systems was discussed and analysed before the development of the project. Functional and non-functional requirements were assessed on the priority basis and the respective methodology was devised for the project. Python Flask and MongoDB are used for the backend whereas HTML5, CSS3 and jQuery are used for the frontend of the framework. Deployment is done through Heroku Cloud Platform. Moreover, MongoDB Atlas, NLTK, AWS Lambda Functions, AWS Lex, Boto3, Pymongo and Gunicorn are used as Third-Party Tools and Libraries. Various test cases were verified to check for the functional and non-functional requirements completion. A Likert-scale questionnaire survey was done from 60 engineering students who have studied Introduction to Digital Electronics module after the chatbot deployment and the survey responses were recorded and evaluation of the results were generated. The survey concludes that majority of the participants find the chatbot to be extremely useful and the developed framework generates correct responses, and explanations to the questions. Further to the aforementioned points, future study for the project has been proposed in the paper. AI approach can be used to train the chatbot framework and to provide more accurate answers for students in future. Moreover, the framework can be altered to support advanced parsing techniques in future along with an added voice functionality and multi-language support in the chatbot framework

Teaching lower level computer science courses via virtual classroom and video : course reports by faculty

New Jersey Institute of Technology is the grateful recipient of a generous grant from the Alfred P. Sloan Foundation which has enabled it to explore the use of asynchronous learning networks to create and deliver an entire undergraduate degree program in computer and information science. Each of these courses uses some amount of lecture-type material delivered via videotape. These materials are usually available to students in three different ways: by viewing broadcasts on a New Jersey cable station, by renting the set of videotapes, or by viewing in a special room in the library. Videotapes for distance learning are not new and are not, in themselves, a very effective means of delivery. The innovative part of this project is the Virtual Classroom™ which is a specially tailored set of features embedded in New Jersey Institute of Technology\u27s computer conferencing system, EIES (Electronic Information Exchange System). This makes possible a rich interchange and collaboration among students and faculty as they discuss and work through the problems and concepts in a course. As of the spring of 1995, both the B.A.I.S and the B.S.C.S. are available to distance and oncampus students. Teaching in a Virtual Classroom mixed with other media (such as video or CD ROM) is not simple however. The purpose of the enclosed descriptions of experiences by faculty members is to familiarize prospective teachers using this media mix in the future with both some ideas for how to organize their online activities, and knowledge of problems that have been encountered. The faculty members were given a suggested outline of topics to include in their reports, but otherwise were free to include whatever they thought would be of most use to other faculty members in the future, teaching the same or similar courses. Those who are interested in learning more about teaching and learning in ALN environments are referred to two book-length treatments: Starr Roxanne Hiltz, The Virtual Classroom: Learning Without Limits via Computer Networks (Ablex, Norwood NJ, 1994); and Linda Harasim, Starr Roxanne Hiltz, Lucio Teles and Murray Turoff, Learning Networks: A Field Guide to Teaching and Learning Online (MIT Press, 1995

Variable digital processor including a register for shifting and rotating bits in either direction Patent

Data processor with plural register stages for selectively interconnecting with each other to effect multiplicity of operation

An implementation and analysis of the Abstract Syntax Notation One and the basic encoding rules

The details of abstract syntax notation one standard (ASN.1) and the basic encoding rules standard (BER) that collectively solve the problem of data transfer across incompatible host environments are presented, and a compiler that was built to automate their use is described. Experiences with this compiler are also discussed which provide a quantitative analysis of the performance costs associated with the application of these standards. An evaluation is offered as to how well suited ASN.1 and BER are in solving the common data representation problem