13,001 research outputs found
PERANAN PEMAHAMAN PETUNJUK OPERASIONAL DALAM MOTHERBOARD KOMPUTER DAN KESERINGAN BERLATIH TERHADAP KEMAMPUAN MERAKIT MOTHERBOARD KOMPUTER
Peranan Pemahaman Petunjuk Operasional Dalam Motherboard Komputer Dan Keseringan Berlatih Terhadap Kemampuan Merakit Motherboard Komputer Mata kuliah mikroprosesor terdiri atas teori dan praktek. Jadi, mahasiswa harus menguasai teori sebelum mereka berpraktek. Teori ini diperoleh mahasiswa dari kuliah dilengkapi petunjuk tentang mikroprosesor. Di dalam mikroprosesor terdapat petunjuk pengoperasian berbahasa Inggris. Jadi, untuk bisa merakit motherboard, mahasiswa harus bisa memahami petunjuk berbahasa Inggris. Dengan memahami petunjuk itu diharapkan mahasiswa bisa berpraktek mengoperasikan motherboard untuk memproduk sesuatu yang berupa motherboard. Untuk sampai kepada keterampilan itu, mahasiswa perlu berlatih. Masalahnya ialah variabel mana yang lebih signifikan menentukan keterampilan merakit motherboard, kemampuan memahami petunjuk berbahasa Inggris dalam sistem motherboard tentang pengoperasian motherboard atau keseringan berlatih. Untuk memecahkan masalah itu dilakukan penelitian ex post facto di Universitas PGRI Semarang, khususnya mahasiswa jurusan S1 Pendidikan Teknologi Informasi, Fakultas PMIPATI semester 5 yang sedang menempuh mata kuliah mikroprosesor. Mereka terdapat 2 kelas, setiap kelas rata-rata 57 orang mahasiswa. Untuk sasaran penelitian ini diambil 38 mahasiswa dari 3 kelompok multimedia, rekayasa perangkat lunak, jaringan komputer, sehingga jumlah mereka 114 orang. Dalam penelitian ini ada 3 jenis data, yaitu: (1) data tentang kemampuan memahami petunjuk operasional berbahasa Inggris yang ada dalam motherboard, (2) data tentang keseringan berlatih, dan (3) data tentang kemampuan merakit motherboard. Data tentang kemampuan merakit motherboard dan data kemampuan memahami petunjuk operasional berbahasa Inggris dalam motherboard diperoleh dengan tes, sedangkan data tentang keseringan berlatih diperoleh dengan kuesioner.Hasil uji lanjut, uji keberartian koefisien korelasi parsial, diketahui bahwa kemampuan memahami petunjuk operasional berbahasa Inggris dalam sistem motherboard mempunyai peranan yang signifikan terhadap kemampuan merakit motherboard. Hal itu terbukti dari hasil uji lanjut bahwa t1=1,0041>tsig.5%=1,9816. Sebabnya ialah mahasiswa telah mempelajari buku/diktat mata kuliah mikroprosesor berbahasa Indonesia tentang motherboard serta tetap memperhatikan petunjuk merakit motherboard yang berbahasa Inggris, mereka bisa merakitkannya. Sebaliknya keseringan berlatih tidak memberikan peranan signifikan terhadap kemampuan merakit motherboard. Hal ini terbukti dari hasil uji lanjut bahwa t2=3,2044<tsig.5%=1,9816. Ini berarti bahwa semakin tidak banyak berlatih, semakin tidak terampil merakit Motherboard dan kurang memahami petunjuk berbahasa Inggris yang ada dalam motherboard.  Kata kunci: Peranan, Pemahaman, Berlatih, Kemampuan, Motherboar
Platform for Testing and Evaluation of PUF and TRNG Implementations in FPGAs
Implementation of cryptographic primitives like
Physical Unclonable Functions (PUFs) and True Random Number
Generators (TRNGs) depends significantly on the underlying
hardware. Common evaluation boards offered by FPGA vendors
are not suitable for a fair benchmarking, since they have different
vendor dependent configuration and contain noisy switching
power supplies. The proposed hardware platform is primary
aimed at testing and evaluation of cryptographic primitives
across different FPGA and ASIC families. The modular platform
consists of a motherboard and exchangeable daughter board
modules. These are designed to be as simple as possible to
allow cheap and independent evaluation of cryptographic blocks
and namely PUFs. The motherboard is based on the Microsemi
SmartFusion 2 SoC FPGA. It features a low-noise power supply,
which simplifies evaluation of vulnerability to the side channel
attacks. It provides also means of communication between the
PC and the daughter module. Available software tools can be
easily customized, for example to collect data from the random
number generator located in the daughter module and to read it
via USB interface. The daughter module can be plugged into
the motherboard or connected using an HDMI cable to be
placed inside a Faraday cage or a temperature control chamber.
The whole platform was designed and optimized to fullfil the
European HECTOR project (H2020) requirements
Immunity-Based Diagnosis for a Motherboard
We have utilized immunity-based diagnosis to detect abnormal behavior of components on a motherboard. The immunity-based diagnostic model monitors voltages of some components, CPU temperatures, and fan speeds. We simulated abnormal behaviors of some components on the motherboard, and we utilized the immunity-based diagnostic model to evaluate motherboard sensors in two experiments. These experiments showed that the immunity-based diagnostic model was an effective method for detecting abnormal behavior of components on the motherboard
Dissecting the Biological Motherboard (Systems Biology and Beyond)
Genome-scale molecular networks, including gene pathways, gene regulatory networks and protein interactions, are central to the investigation of the nascent disciplines of systems biology and bio-complexity. Dissecting these genome-scale molecular networks in its all-possible manifestations is paramount in our quest for a genotype-input phenotype-output application which will also take environment-genome interactions into account.

Machine learning approaches are now increasingly being used for reverse engineering such networks. Our work stresses the importance of a system approach in biological research and how artificial neural networks are at the forefront of Artificial Intelligence techniques that are increasingly being used to construct as well as dissect molecular networks, the building blocks of the living system.

Our paper will show the application of artificial neural networks to reverse engineer a temporal gene pathway 
In this paper we will also explore the pruning of nodes of these artificial neural networks to simulate gene silencing and thus generate novel biological insight into these molecular networks (The Biological Motherboard).

The research described is novel, in that this may be the first time that the application of neural networks to temporal gene expression data is described. It will be shown that a trained artificial neural network, with pruning, can also be described as a gene network with minimal re-interpretation, where the weights on links between nodes reflect the probability of one gene affecting another gene in time
QCDSP: The first 64 nodes
We present a summary of the progress on QCDSP in the last year. QCDSP,
Quantum Chromodynamics on Digital Signal Processors, is an inexpensive computer
being built at Columbia that can achieve 0.8 teraflops for three million
dollars.Comment: 4 pages, 1 figur
Design and Performance of the Data Acquisition System for the NA61/SHINE Experiment at CERN
This paper describes the hardware, firmware and software systems used in data
acquisition for the NA61/SHINE experiment at the CERN SPS accelerator. Special
emphasis is given to the design parameters of the readout electronics for the
40m^3 volume Time Projection Chamber detectors, as these give the largest
contribution to event data among all the subdetectors: events consisting of
8bit ADC values from 256 timeslices of 200k electronic channels are to be read
out with ~100Hz rate. The data acquisition system is organized in "push-data
mode", i.e. local systems transmit data asynchronously. Techniques of solving
subevent synchronization are also discussed.Comment: 14 pages, 13 figure
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