Showing 817–828 of 2014 results

  • Efficient Register Renaming and Recovery for High-Performance Processors

    Efficient Register Renaming and Recovery for High-Performance Processors

    0 out of 5
    4,500

    Efficient Register Renaming and Recovery for High-Performance Processors Abstract?Quantum-dot cellular automata (QCA) are an attractive emerging technology suitable for the development of ultra-dense low-power high-performance digital circuits. Efficient solutions have recently been proposed for several arithmetic circuits, such as adders, multipliers, and comparators. Nevertheless, since the design of digital circuits in QCA still poses several…

  • Efficient Register Renaming and Recovery forHigh-Performance Processors

    Efficient Register Renaming and Recovery forHigh-Performance Processors

    0 out of 5
    4,500

    Efficient Register Renaming and Recovery forHigh-Performance Processors Abstract-Efficient Register Renaming and Recovery forHigh-Performance Processors. Modern superscalar processors implement register renaming using either random access memory (RAM) or content-addressable memories (CAM) tables. The design of these structures should address both access time and misprediction recovery penalty. Although direct-mapped RAMs provide faster access times, CAMs are more…

  • Efficient Resonant Frequency Modeling for Dual-Band Microstrip Antennas by Gaussian Process Regression

    Efficient Resonant Frequency Modeling for Dual-Band Microstrip Antennas by Gaussian Process Regression

    0 out of 5
    4,500

    Efficient Resonant Frequency Modeling for Dual-Band Microstrip Antennas by GaussianProcessRegression Abstract? Efficient Resonant Frequency Modeling for Dual-Band Microstrip Antennas by Gaussian Process Regression. A methodology based on Gaussian process regression (GPR) for accurately modeling the resonant frequencies of dual-band microstrip antennas is presented. Two kinds of dual-band antennas were considered, namely a U-slot patch and…

  • Efficient Spread Spectrum Communication without Preshared Secrets

    Efficient Spread Spectrum Communication without Preshared Secrets

    0 out of 5
    4,500

    Efficient Spread Spectrum Communication without Preshared Secrets Abstract– Efficient Spread Spectrum Communication without Preshared Secrets. Spread spectrum (SS) communication relies on the assumption that some secret is shared beforehand among communicating nodes to establish the spreading sequence for long-term wireless communication. Strasser et al. identified this as the circular dependency problem (CDP). This problem is…

  • Efficient Two-Server Password-Only Authenticated Key Exchange

    Efficient Two-Server Password-Only Authenticated Key Exchange

    0 out of 5
    4,500

    Efficient Two-Server Password-Only Authenticated Key Exchange Abstract? Efficient Two-Server Password-Only Authenticated Key Exchange. Password-authenticated key exchange (PAKE) is where a client and a server, who share a password, authenticate each other and meanwhile establish a cryptographic key by exchange of messages. In this setting, all the passwords necessary to authenticate clients are stored in a…

  • Matlab_Dip

    Efficient View Based 3-D Object Retrieval using Hidden Markov Model

    0 out of 5
    4,500

    Efficient View Based 3-D Object Retrieval using Hidden Markov Model Abstract?Efficient View Based 3-D Object Retrieval using Hidden Markov Model. he explosively increasing 3-D objects make their efficient retrieval technology highly desired. Extensive research efforts have been dedicated to view-based 3-D object retrieval for its advantage of using 2-D views to represent 3-D objects. In…

  • Java Projects—Data Mining

    Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion

    0 out of 5
    4,500

    Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion Abstract?Among the discovered knowledge, sequential-pattern mining is used to discover the frequent subsequences from a sequence database. Most research handles the static database in batch mode to discover the desired sequential patterns. In the past, the fast updated (FUP) and Fast UPdated 2 (FUP2)…

  • Java Projects—Data Mining

    Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion

    0 out of 5
    4,500

    Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion Abstract?Among the discovered knowledge, sequential-pattern mining is used to discover the frequent subsequences from a sequence database. Most research handles the static database in batch mode to discover the desired sequential patterns. In the past, the fast updated (FUP) and Fast UPdated 2 (FUP2)…

  • .NET Projects - data mining

    Efficiently Supporting Edit Distance based String Similarity Search Using B+-trees

    0 out of 5
    4,500

    Efficiently Supporting Edit Distance based String Similarity Search Using B+-trees Abstract?Efficiently Supporting Edit Distance based String Similarity Search Using B+-trees. Edit distance is widely used for measuring the similarity between two strings. As a primitive operation, edit distance based string similarity search is to find strings in a collection that are similar to a given…

  • Matlab_Dip

    EFIS- Evolving Fuzzy Image Segmentation

    0 out of 5
    4,500

    EFIS- Evolving Fuzzy Image Segmentation   Abstract?EFIS- Evolving Fuzzy Image Segmentation. Despite the large number of techniques proposed in recent years, accurate segmentation of digital images remains a challenging task for automated computer algorithms. Approaches based on machine learning hold particular promise in this regard, because in many applications, e.g., medical image analysis, frequent user…

  • EGC MONITORING SYSTEM USING ANDROID

    EGC MONITORING SYSTEM USING ANDROID

    0 out of 5
    3,500

    EGC MONITORING SYSTEM USING ANDROID Abstract? ECG signals are the heart wave signals used to identify the heart disease. This kind of signal processing requires effective signal feature extraction as well as integration with real environment. The presented work is defined to provide the solution to both these problems. The feature detection is here been…

  • Matlab_Dip

    Emotional stress recognition system using EEG and psychophysiological signals:

    0 out of 5
    4,500

    Emotional stress recognition system using EEG and psychophysiological signals:   Abstract?a new emotional stress recognition system using multi-modal bio-signals. Since electroencephalogram (EEG) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research, it is used as the main signal. In order to choose the proper EEG channels we used…

End of content

End of content