With the increasing necessities for reliable PCB product, there has been a considerable demand for high speed, high precision vision system to place the electric parts on PCB automatically. To identify the electric chips with high accuracy and reliability with obtained images, a classification algorithm is needed to identify the type of parts and their defects. In this paper, we design a learni...

In this issue of Cell Stem Cell, Hormaechea-Agulla et al., 2021Hormaechea-Agulla D. Matatall K.A. Le D.T. Kain B. Long X. Kus P. Jaksik R. Challen G.A. Kimmel M. King K.Y. Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFN? signaling.Cell Cell. 2021; (Published online March 19, 2021)https://doi.org/10.1016/j.stem.2021.03.002Abstract Full Text PDF Scopus (45) Google Sc...

The robustness of a template set for cellular neural networks (CNNs) is crucial for applications of VLSI CNN chips. Whereas the problem of designing any, possibly very sensitive, templates for a given task is fairly easy to solve, it is computationally expensive to find optimal solutions. For the class of bipolar CNNs, we propose an analytical approach to derive the optimally robust template se...

waste tires, rubbers, plastic and steel materials, normally produced in every society, enter the environment and cause serious problems. these problems may, to some extent, be reduced by finding applications for them in engineering, for example, they can be used for geotechnical applications as backfill material and solving problems with low shear strength soils. such materials may be subjected...

In this study, changes in some quality parameters of fish chips produced from sand smelt (Atherina boyeri, RISSO 1810) during storage period (at -18  o C for 6 months) were determined.  The difference between the amount of moisture, crude protein, crude fat and crude ash components of raw fish in fish chips was significant (P < 0.05). Pre-frying  process resulted in a decrease in all fatty acid...

A novel neural chip SAND (Simple Applicable Neural Device) is described. It is highly usable for massive parallel neural network computations. The chip is optimized for a high input data rate (50 MHz, 16 bit data) at a very low cost basis. The performance of a single SAND chip is 200 MOPS due to four parallel 16 bit multipliers and 40 bit adders working in one clock cycle. The chip is able to i...

This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolarweighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5V supply voltage by compensating parasitic capacitance effects. A high performance differentialtype latch comparator which can discrimi...

Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physical devices [6]. Currently underway is the design of a CTRNN-EH VLSI chips that combines an evolutionary algorithm and a reconfigurable analog CTRNN into a single hardware device capable of learning control laws of phys...

Recent developments in the design and propulsion of biomimetic autonomous underwater vehicles (AUVs) have focused on boxfish as models (e.g. Deng and Avadhanula 2005 Biomimetic micro underwater vehicle with oscillating fin propulsion: system design and force measurement Proc. 2005 IEEE Int. Conf. Robot. Auto. (Barcelona, Spain) pp 3312-7). Whilst such vehicles have many potential advantages in ...