1,022 research outputs found
The distant music of a flute
No full textAamer Hussein has contributed to The Young Wife and Other Stories as a content introducer. Born in Karachi, Hussein moved to London in 1970. He reviews for The Independent and the TLS. He is the author of Turquoise, This Other Salt, and editor of Kahani: Short Stories by Pakistani Women. He has held visiting posts at the University of Southampton and the University of London, and is a Fellow of the Royal Society of Literature
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge
No full textEdge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning applications have become a rudimentary procedure in virtually every industrial or preliminary system. Consequently, the Raspberry Pi is adopted, which is a low-cost computing platform that is profitably applied in the field of IoT. As for the software part, among the plethora of Machine Learning (ML) paradigms reported in the literature, we identified Rulex, as a good ML platform, suitable to be implemented on the Raspberry Pi. In this paper, we present the porting of the Rulex ML platform on the board to perform ML forecasts in an IoT setup. Specifically, we explain the porting Rulex’s libraries on Windows 32 Bits, Ubuntu 64 Bits, and Raspbian 32 Bits. Therefore, with the aim of carrying out an in-depth verification of the application possibilities, we propose to perform forecasts on five unrelated datasets from five different applications, having varying sizes in terms of the number of records, skewness, and dimensionality. These include a small Urban Classification dataset, three larger datasets concerning Human Activity detection, a Biomedical dataset related to mental state, and a Vehicle Activity Recognition dataset. The overall accuracies for the forecasts performed are: 84.13%, 99.29% (for SVM), 95.47% (for SVM), and 95.27% (For KNN) respectively. Finally, an image-based gender classification dataset is employed to perform image classification on the Edge. Moreover, a novel image pre-processing Algorithm was developed that converts images into Time-series by relying on statistical contour-based detection techniques. Even though the dataset contains inconsistent and random images, in terms of subjects and settings, Rulex achieves an overall accuracy of 96.47% while competing with the literature which is dominated by forward-facing and mugshot images. Additionally, power consumption for the Raspberry Pi in a Client/Server setup was compared with an HP laptop, where the board takes more time, but consumes less energy for the same ML task
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications
No full textMachine learning techniques aim to mimic the human ability to automatically learn how to perform tasks through training examples. They have proven capable of tasks such as prediction, learning and adaptation based on experience and can be used in virtually any scientific application, ranging from biomedical, robotic, to business decision applications, and others. However, the lack of domain knowledge for a particular application can make feature extraction ineffective or even unattainable. Furthermore, even in the presence of pre-processed datasets, the iterative process of optimizing Machine Learning parameters, which do not translate from one domain to another, maybe difficult for inexperienced practitioners. To address these issues, we present in this paper a Vectorized Automated ML Pre-processIng and post-pRocEssing framework, approximately named (VAMPIRE), which implements feature extraction algorithms capable of converting large time-series recordings into datasets. Also, it introduces a new concept, the Activation Engine, which is attached to the output of a Multi Layer Perceptron and extracts the optimal threshold to apply binary classification. Moreover, a tree-based algorithm is used to achieve multi-class classification using the Activation Engine. Furthermore, the internet of things gives rise to new applications such as remote sensing and communications, so consequently applying Machine Learning to improve operation accuracy, latency, and reliability is beneficial in such systems. Therefore, all classifications in this paper were performed on the edge in order to reach high accuracy with limited resources. Moreover, forecasts were applied on three unrelated biomedical datasets, and on two other pre-processed urban and activity detection datasets. Features were extracted when required, and training and testing were performed on the Raspberry Pi remotely, where high accuracy and inference speed were achieved in every experiment. Additionally, the board remained competitive in terms of power consumption when compared with a laptop which was optimized using a Graphical Processing Unit
Trends. The Latest Victory of Saddam Hussein
No full textThe author discusses the advantages that were obtained by Saddam Hussein in negotiations with United Nations (UN) Secretary General Kofi Annan
Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device
No full textWith the rise of Internet of Things (IoT) and Edge Computing, which are technologies that rely on smart and low power computing nodes with adequate processing power and storage capabilities, it is expected that Artificial Intelligence and machine learning will play a role in the continuous spreading of their application fields.
One of the most adopted hardware platforms for IoT and Machine Learning is the low-cost, multipurpose Raspberry Pi, which is small enough and still capable of effectively handling machine learning tasks. Moreover, it is ideal for development and educational purposes. On the other hand, among the plethora of Machine Learning (ML) paradigms reported in the literature, we identified Rulex [1] as a good candidate as an ML engine, suitable for advanced edge computing applications.
In this paper, we report the deployment of the machine learning package Rulex to operate on the Raspberry Pi in multiple arrangements. The target is to perform training and testing of Machine Learning algorithms through running Rulex on the Raspberry PI as an Edge Computing Device.
Specifically, we describe the process of porting Rulex external and internal libraries on Windows 32 Bits, Ubuntu 64 Bits, and Raspbian 32 Bits. Moreover, we present the standalone and Client/Server Configuration of Rulex on the Raspberry Pi along with the Remote Development configuration used to compile and debug the Rulex source code remotely. We have applied Forecasts using training and testing data sets on the Raspberry Pi as an IoT Device, which generate promising and accurate results
Milosevic and Hussein on Trial
No full textIn this article in the Symposium on Milosevic & Hussein on Trial, the author discusses the difficulties of trying Saddam in the International Court of Justice (ICJ) at the Hague to argue that previous cases of genocide have resulted in the political strategy of exile or extermination. Four points that limit the possibilities for an ICJ trial are discussed, & the probable unjustness of the Iraqi Special Tribunal (IST) is related to the treatment of historical cases of Napoleon & Milosevic, & genocide criminals in the Rwanda & Nuremberg criminal trials. The author argues that the current position on genocide according to the General Framework Agreement for Peace in Bosnia & Herzegovina (GFA) & the Dayton Accords, leaves the Milosevic & Hussein cases extremely unclear, & advocates handing Saddam over to the Iraqi police, & finds advantages in the probable chance that Milosevic may die before his trial ends. J. Harwel
THE PRINCIPLE OF RATIONALITY IN THE PHILOSOPHY OF MORALITY OF HUSSEIN WAZ KASHIFI
No full textThis article provided a methodological analysis of the moral and philosophical views of Hussein Waiz Kashifi. In the article, the author tries to substantiate the rational essence of Hussein Waiz Kashifi\u27s moral philosophical views. The article argues that the moral and philosophical views of Hussein Waz Kashifi have not lost their relevance today
Arab Women Writers
No full textA 2009 conversation with the Iraqi author, Haddiya Hussein, about her life and the inspiration for her work
Trends. Straight Talk on Why Saddam Hussein Can\u27t Go Straight
No full textThe author discusses Saddam Hussein\u27s inability to give up nuclear weapons development
Hussein b. Ali`s personality in the contemporary Arabic poetry
No full textMakaleAraştırma, İmam Hüseyin b. Ali’nin şahsiyetinin modern Arap şiirinde kullanılışını
ele alıyor. Araştırmacı, edebiyatta dinî şahsiyetlerin önemini ve gösterdiği anlamları ele
alıyor, bunun yanı sıra şâiri kültürel mîrası ve dinî şahsiyetleri, özellikle de İmam
Hüseyin’in şahsiyetini işlemeye iten faktörleri araştırıyor, sonra modern Arap şiirindeki
Hüseyin b. Ali şahsiyetinin kullanılış şekillerini sunuyor. Buna göre küllî ve cüz’î olmak
üzere iki kullanım vardır. Araştırmacı çalışmasında tarihî metodun verileri yanısıra semantik metodu da kullanmaktadır. Araştırmacı çalışmasında bir kısım sonuçlara ulaşmıştır. Bunların en önemlileri şöyle sıralanabilir: Şâirler ve kültürel miras arasında derin
bir bağ vardır. Şâirler, Hüseyin b. Ali’nin şahsiyetinde ve onun başına gelen dramatik
olaylarda, toplumun maruz kaldığı musibetleri, dahilî ve hâricî düzeyde yüzleştiği meydan okumaları terennüm etmekte gizli bir güç ve verimli bir kaynak bulmuştur.
Araştırmacı araştırmayla ilgili zengin bir kaynak ve literature listesi de sunmuştur.The research is about the personality of Imam Hussein in the contemporary Arabic
poetry. The author has summoned up the importance of religious figures and their significance in employing them in the literature, also the reasons why the poets recall the
traditions / or the religious figures. Especially the personality of Imam Hussein. Then,
the author presented the methodology of employing Imam Hussein`s figure in contemporary Arabic poetry. The methodology has been used in two ways (whole and
partial). Semantics has been used with historical chronology facts. The author has concluded reaching outcomes such as: the deep relation between the poet and the tradition, convinced that in the personality of Hussein and what had happened to him of
pitiable event, strong case and great potential in relating to the anguish of Muslims
and the internal and external challenges they face. Finally the author presented a list
of main resources and references used for the paper
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