https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

Note: Includes index + new features guide (1995) + quick reference Reference Record created on 2004-09-07, modified on 2016-08-08

Signal processing toolbox for use with MATLAB : ユーザーズガイド

Digital libraries (DLs) introduce several challenging requirements with respect to the formulation, specification and enforcement of adequate data protection policies. Unlike conventional database environments, a DL environment is typically characterized by a dynamic user population, often making accesses from remote locations, and by an extraordinarily large amount of multimedia information, stored in a variety of formats. Moreover, in a DL environment, access policies are often specified based on user qualifications and characteristics, rather than on user identity (e.g. a user can be given access to an R-rated video only if he/ she is more than 18 years old). Another crucial requirement is the support for content-dependent authorizations on digital library objects (e.g. all documents containing discussions on how to operate guns must be made available only to users who are 18 or older). Since traditional authorization models do not adequately meet the access control requirements typical of DLs, we propose a content-based authorization model that is suitable for a DL environment. Specifically, the most innovative features of our authorization model are: (1) flexible specification of authorizations based on the qualifications and (positive and negative) characteristics of users, (2) both content-dependent and content-independent access control to digital library objects, and (3) the varying granularity of authorization objects ranging from sets of library objects to specific portions of objects.

A content-based authorization model for digital libraries

Thesis (Doctor of Phil. (Information Studies)) - University of KwaZulu-Natal, Pietermaritzburg, 2008.

Information and communication technologies and sustainable livelihoods : a case of selected rural areas of Tanzania

An end of train unit includes a positioning system such as a GPS receiver and is configured to transmit a message including the EOT unit's location when the EOT unit detects a loss of air pipe pressure and/or it is tipped over and/or a low battery condition is detected. In highly preferred embodiments, the EOT unit periodically re-transmits the message until an acknowledgment message is received. In some embodiments, information from the positioning system is used to create a signal as a substitute for a motion sensor. In other embodiments, information from the positioning system is used to determine the speed of the end of the train. End of train unit tracking is also performed.

Method and system for automatically locating end of train devices

Threats emanating from Internet of Things (IoT) malicious software are fast evolving and complex phenomena. Unlike conventional networks, Internet of things have unique attributes such as heterogeneity of devices, high scalability and diverse architectures that makes its malware analysis complex. In this paper, we propose an approach for analyzing and classifying IoT malware using Haralick image texture features and machine learning classifiers namely K-nearest neighbor(KNN), naive Bayes (NB) and random forest(RF). A binary file (malicious or benign) is converted to a gray scale image . The gray level co-occurence matrix (GLCM) is computed on each of the extracted image. On the basis of these GLCM parameters, five Haralick features namely angular second moment, entropy, contrast, inverse different moment and correlation are calculated. Finally, these Haralick texture features are used to perform malware classification using random forest, naive Bayes and K-nearest neighbor. Experimental results shows that our approach obtains 95% accuracy for Random Forest, 89% for naive Bayes and 80% for K-nearest neighbor classifiers . Overall, use of texture feature can realize a low computational and platform independent classification scheme for IoT malware.

Analysis of internet of things malware using image texture features and machine learning techniques

The paper motivates for the need for rural communities in Botswana to gain access to information and communication technologies (ICTs). It generally acknowledges the excellent telecommunications infrastructure in the country, and the stated policy of the government and the Botswana Telecommunications Authority (BTA) to provide universal access to ICTs. The paper then explores why the policy and the infrastructural endowments have not combined to make Botswana an "information society" according to the timeframe envisaged in the national vision document, Vision 2016. Citing the phenomenal growth of the mobile phone in the Botswana telecommunications market, the paper proposes that a nascent information society could be upon Botswana, if only the mobile cellular platform and Internet connectivity could be fully harnessed to give people a foothold into the vast ICT field. The paper outlines the technological, institutional and policy issues that need to be tackled to ensure that Botswana's rural communities get the benefits of new ICTs, with particular emphasis on the need for integrated public access centres and a new legal framework guaranteeing access to information.

/pdf/ict-development-in-botswana-connectivity-for-rural-27jjr8ji40.pdf

ICT Development in Botswana: Connectivity for Rural Communities

The design of a digit-serial N-tap FIR filter with programmable coefficients is presented. The design considers the general case of a W-bit sample word and an M-bit coefficient word. The processing of the data within the filter takes place with full precision. The output data is truncated to W bits. The design introduces a new digit-serial multiplier that guarantees minimum processing time and reduces the hardware requirements. Sign-amplitude representation for the coefficients and two's complement for the input samples simplifies the circuit configuration and allows the use of one common two's complement circuit for all the filter section. A 100-tap, 8-bit word length version filter is implemented using an Altera FPGA device. The filter can be used in real-time processing with sample rate range from 7.5 to 22 MHz

/pdf/design-and-fpga-implementation-of-digit-serial-fir-filters-215gcmf5a1.pdf

Design and FPGA implementation of digit-serial FIR filters

This paper presents an algorithm for the low power implementation of the discrete cosine transform on single multiplier CMOS DSPs. The algorithm reduces power by a combination of using shift operations, where possible, and manipulating bit-correlation between successive cosine coefficients applied to the input of the multiplier section such that the effective switched capacitance is reduced. This reduces the switching activity in the multiplication of a discrete cosine transform processor. The paper describes the algorithm, the evaluation procedure and presents results with a number of example images illustrating up to 50% power savings.

Low power DCT implementation approach for VLSI DSP processors

An algorithm is presented for the low power implementation of the discrete cosine transform on single multiplier CMOS DSPs. The algorithm reduces power by reducing the amount of switched capacitance within the multiplier section of the DSP. This is achieved by a combination of using shift operations where possible, and manipulating bit-correlation between successive cosine coefficients applied to the input of the multiplier section. It is shown with a number of examples that up to 50% power saving can be achieved and that the algorithm provides a potential for more savings in power.

Shedden Masupe

Papers

Analysis of internet of things malware using image texture features and machine learning techniques

ICT Development in Botswana: Connectivity for Rural Communities

Design and FPGA implementation of digit-serial FIR filters

Low power DCT implementation approach for VLSI DSP processors

Low power DCT implementation approach for CMOS-based DSP processors