Essays about: "hard system method"
Showing result 1 - 5 of 141 essays containing the words hard system method.
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1. Methodology For Improving performance & Reliability In Low Voltage on-chip Memories
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recent surveys show that on average about 70% of the area budget of the system on chip (SoC) is occupied by Static Random Access Memory (SRAM)s, with a capacity ranging from a few kilo-bits to tens of megabits. SRAM (static RAM or SRAM) is a type of electronic memory that uses bistable latching circuitry (flip-flop) to store each bit. READ MORE
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2. Addressing intersection artifacts on textured, geometrically rendered vector data in 3D applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : There exist various methods to render vector data in 3D applications. One such method is to render the data geometrically, where polyline data is tessellated into some geometry that is rendered on top of the 3D terrain. READ MORE
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3. Kontroll av renkavle (Alopecurus myosuroides Huds.) utan glyfosat
University essay from SLU/Dept. of Crop Production EcologyAbstract : Renkavle (Alopecurus myosuroides Huds) är ett vinterannuellt gräs som är ett problematiskt ogräs i höstsådda grödor. Syftet med detta kandidatarbete är att genom litteraturstudie och intervjuer beskriva eventuella konsekvenser i bekämpningen av renkavle vid ett glyfosatförbud samt även att beskriva de möjliga kontrollåtgärder som kan tillämpas vid ett förbud. READ MORE
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4. Dynamic Difficulty Adjustment in Games Based on Cognitive Workload
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Games should provide adequate challenge to players in order to provide an engaging and fun player experience. If a game is too easy or too hard, the players might get bored or frustrated. READ MORE
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5. Model Distillation for Deep-Learning-Based Gaze Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the recent advances in deep learning, the gaze estimation models reached new levels, in terms of predictive accuracy, that could not be achieved with older techniques. Nevertheless, deep learning consists of computationally and memory expensive algorithms that do not allow their integration for embedded systems. READ MORE
