Modeling and Design of Digital Electronic Systems

The paper is concerned with the modern methodologies for holistic modeling of electronic systems enabling system-on-chip design. The method deals with the functional modeling of complete electronic systems using the behavioral features of Hardware Description Languages or high level languages then targeting programmable devices - mainly Field Programmable Gate Arrays (FPGAs) - for the rapid prototyping of digital electronic controllers. This approach offers major advantages such as: a unique modeling and evaluation environment for complete power systems, the same environment is used for the rapid prototyping of the digital controller, fast design development, short time to market, a CAD platform independent model, reusability of the model/design, generation of valuable IP, high level hardware/software partitioning of the design is enabled, Concurrent Engineering basic rules (unique EDA environment and common design database) are fulfilled. The recent evolution of such design methodologies is marked through references to case studies of electronic system modeling,simulation, controller design and implementation. Pointers for future trends / evolution of electronic design strategies and tools are given

An end-user platform for FPGA-based design and rapid prototyping of feedforward artificial neural networks with on-chip backpropagation learning

The hardware implementation of an artificial neural network (ANN) using field-programmable gate arrays (FPGAs) is a research field that has attracted much interest and attention. With the developments made, the programmer is now forced to face various challenges, such as the need to master various complex hardware-software development platforms, hardware description languages, and advanced ANN knowledge. Moreover, such an implementation is very time consuming. To address these challenges, this paper presents a novel neural design methodology using a holistic modeling approach. Based on the end-user programming concept, the presented solution empowers end users by means of abstracting the low-level hardware functionalities, streamlining the FPGA design process and supporting rapid ANN prototyping. A case study of an ANN as a pattern recognition module of an artificial olfaction system trained to identify four coffee brands is presented. The recognition rate versus training data features and data representation was analyzed extensively

OPTIMAL AREA AND PERFORMANCE MAPPING OF K-LUT BASED FPGAS

FPGA circuits are increasingly used in many fields: for rapid prototyping of new products (including fast ASIC implementation), for logic emulation, for producing a small number of a device, or if a device should be reconfigurable in use (reconfigurable computing). Determining if an arbitrary, given wide, function can be implemented by a programmable logic block, unfortunately, it is generally, a very difficult problem. This problem is called the Boolean matching problem. This paper introduces a new implemented algorithm able to map, both for area and performance, combinational networks using k-LUT based FPGAs.k-LUT based FPGAs, combinational circuits, performance-driven mapping.

Kecerdasan matematik-logik dalam kalangan pelajar sarjana Pendidikan Teknik dan Vokasional UTHM

Kecerdasan matematik-logik sering dikaitkan dengan penguasaan pelajar dalam subjek matematik. Pencapaian pelajar, khususnya pelajar Sarjana Pendidikan Teknik dan Vokasional, Universiti Tun Hussein Onn Malaysia (UTHM) dalam kursus Statistik dalam Penyelidikan sedikit sebanyak mempengaruhi pencapaian akademik pelajar. Oleh itu, kajian ini dijalankan untuk mengkaji pengaruh kecerdasan matematik-logik terhadap pencapaian pelajar dalam kursus Statistik dalam Penyelidikan. Kajian berbentuk tinjauan secara kuantitatif untuk melihat hubungan diantara dua pembolehubah iaitu pembolehubah tidak bersandar (kecerdasan matematik-logik) dan pembolehubah bersandar (penguasaan pelajar dalam kursus Statistik dalam Penyelidikan). Persampelan rawak mudah digunakan dalam kajian ini dengan mengambil sampel seramai 108 orang pelajar Sarjana Pendidikan Teknik dan Vokasional sebagai responden kajian. Data diperoleh daripada sampel dengan menggunakan borang soal selidik yang diolah berdasarkan alat pengukuran kecerdasan MIDAS (Multiple Intelligence Development Assessment Scales). Data dianalisis menggunakan perisian SPSS (Statistical Package for Social Science) versi 16.0 yang melibatkan ujian statistik skor min dan kolerasi pangkat Spearman. Hasil dapatan kajian menunjukkan tahap kecenderungan kecerdasan matematik-logik pelajar berada pada tahap yang tinggi dan mempunyai hubungan yang signifikan dengan pencapaian pelajar dalam kursus Statistik dalam Penyelidikan. Berdasarkan dapatan kajian boleh disimpulkan bahawa kecerdasan matematik-logik dapat dijadikan kayu ukur dalam memastikan kejayaan pelajar