Optimal Stochastic Computing Randomization

Stochastic computing (SC) is a probabilistic-based processing methodology that has emerged as an energy-efficient solution for implementing image processing and deep learning in hardware. The core of these systems relies on the selection of appropriate Random Number Generators (RNGs) to guarantee an acceptable accuracy. In this work, we demonstrate that classical Linear Feedback Shift Registers (LFSR) can be efficiently used for correlation-sensitive circuits if an appropriate seed selection is followed. For this purpose, we implement some basic SC operations along with a real image processing application, an edge detection circuit. Compared with the literature, the results show that the use of a single LFSR architecture with an appropriate seeding has the best accuracy. Compared to the second best method (Sobol) for 8-bit precision, our work performs 7.3 times better for the quadratic function; a 1.5 improvement factor is observed for the scaled addition; a 1.1 improvement for the multiplication; and a 1.3 factor for edge detection. Finally, we supply the polynomials and seeds that must be employed for different use cases, allowing the SC circuit designer to have a solid base for generating reliable bit-streams.

PENINGKATAN KETERAMPILAN PRAKTIKUM GERBANG LOGIKA DI MATA PELAJARAN SISTEM KOMPUTER MENGGUNAKAN APLIKASI LOGIC CIRCUIT DESIGNER (LCD) ADA KELAS X TKJ SMKN 1 KETAPANG

<em>The limitations of practice in the department become a dilemma in assessing students Computer Systems course in the Department of Computer and Network Engineering class X. Meanwhile In the realm of assessment there are values or skills. use Application Logic Circuit Designer (LCD) is one of the existing solutions. This app too can be installed (installed) on a Laptop or Personal Computer (PC). Whatever the purpose The use of this application in this research is so that students are able to carry out practicum in accordance with the material presented and develop skills without limit. To be able to increase the motivation of student learning outcomes on the Gate material Class X Logic majoring in Computer and Network Engineering (TKJ) at SMK Negeri 1 Ketapang. This research is a classroom action research consisting of 2 cycles, with the help of learning participation observation sheet from 36 students. Each cycle consists of planning, implementation, observation and reflection. results Based on research obtained from the use of Logic Circuit Designer (LCD) applications in learning must follow these steps that has been determined, namely starting from downloading the application, installing the application on a laptop or smartphone until how to use it.</em>

Realization of a design-less system for analog integrated circuits

The 21st century has given rise to a digital world which has significantly impacted on the ways in which humans go about their everyday lives. From being able to speak with whomever you want, whenever you want, wherever you are on your smartphone, to tapping away on your laptop, through to spending hours each day on the internet, the world we live in is firmly digital and it now shapes the way we experience life. When it comes to circuits, analog still has a hugely important role to play. Circuit designer Associate Professor Nobukazu Takai is leading a team of researchers who are applying machine learning to analog circuit design. They are the first team to do this anywhere in the world and, using their method, computers are able to learn how to improve their own circuit specifications.

Macromodel of G4FET Enabling Fast and Reliable SPICE Simulation for Innovative Circuit Applications

A macromodel of silicon-on-insulator (SOI) four-gate transistor (G4FET) is presented in this paper to aid circuit designers to explore innovative applications circuit with this multi-gate transistor. A number of works based on analytical solution, numerical simulation and experimental results of G4FET have been previously reported. However, designing new interesting circuits with G4FETs requires a SPICE model that will work sufficiently well throughout the desired operating regions. Although it is theoretically possible to solve coupled non-linear differential equations to explore different operating conditions, this will take an excessive amount of time making it unsuitable for useful circuit design. Therefore, a macromodel approach is adopted in this work to provide a reasonably fast and accurate circuit simulation. G4FET combines the functionality of MOSFET and JFET devices which already have robust, fast and reliable SPICE models. A macromodel approach which is capable of combining these existing models including the interactions between multiple gates will be beneficial for any circuit designer. The feasibility of the macromodel is justified by simulating several analog and digital circuits and comparing against available experimental results.

Advances in Microelectronics for Implantable Medical Devices

Implantable medical devices provide therapy to treat numerous health conditions as well as monitoring and diagnosis. Over the years, the development of these devices has seen remarkable progress thanks to tremendous advances in microelectronics, electrode technology, packaging and signal processing techniques. Many of today’s implantable devices use wireless technology to supply power and provide communication. There are many challenges when creating an implantable device. Issues such as reliable and fast bidirectional data communication, efficient power delivery to the implantable circuits, low noise and low power for the recording part of the system, and delivery of safe stimulation to avoid tissue and electrode damage are some of the challenges faced by the microelectronics circuit designer. This paper provides a review of advances in microelectronics over the last decade or so for implantable medical devices and systems. The focus is on neural recording and stimulation circuits suitable for fabrication in modern silicon process technologies and biotelemetry methods for power and data transfer, with particular emphasis on methods employing radio frequency inductive coupling. The paper concludes by highlighting some of the issues that will drive future research in the field.