This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27...
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ISBN:
(数字)9783030030988
ISBN:
(纸本)9783030030971
This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27 full papers presented and 31 short papers were carefully reviewed and selected from 103 submissions.;PRIMA presents subjects in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief and disaster management, and data mining and analytics.
Memristor stateful logic is an effective way to achieve the real sense of in-memory computing in memristor-based crossbar array (MCBA). At present, the synthesis tools fall short in conducting a thorough exploration o...
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Memristor stateful logic is an effective way to achieve the real sense of in-memory computing in memristor-based crossbar array (MCBA). At present, the synthesis tools fall short in conducting a thorough exploration of the optimization potential pertaining to cascading stateful logic gates within MCBA, and the optimization objectives are relatively simple. In this paper, a suit of stateful logic synthesis kit, named ILOSSS, improved from the previous LOSSS tool is achieved. Such kit includes two kinds of stateful logic synthesis processes for latency (corresponding to the High Time-Efficiency Synthesis Process (HTESP)) and energy (corresponding to the Low-Energy Synthesis Process (LESP)) optimization respectively. Both of the synthesis processes are achieved by improving an existing synthesis process of MAGIC (SIMPLER-MAGIC) to support multiple stateful logic gates and inserting a post-processing stage with a well-developed automated optimization algorithm to reduce the number of the gates of the netlist with a corresponding purpose. Comparing to the standard SIMPLER-MAGIC tool, the HTESP achieves arithmetic mean improvements of over 23% in performance, and over 34% in effective lifetime under the EPFL benchmark suit which is also better than the results reported by the state-of-art MAGIC synthesis process (X-MAGIC). Meanwhile, the energy-delay product (EDP) of LESP has decreased by an average of over 10% and 42% compared to SIMPLER-MAGIC and HTESP respectively.
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, n...
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ISBN:
(数字)9781447130581
ISBN:
(纸本)9781447130604
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ........... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advance collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Sigeru Omatu, Marzuki Khalid, and Rubiyah Yusof have pursued the new developments of fuzzy logic and neural networks to present a series volume on neuro-control methods. As they demonstrate in the opening pages of their book, there is an explosion of interest in this field. Publication and patent activity in these areas are ever growing according to international is timely. databases and hence, this volume The presentation of the material follows a complementary pattern. Reviews of existing control techniques are given along side an exposition of the theoretical constructions of fuzzy logic controllers, and controllers based on neural networks. This is an extremely useful methodology which yields rewards in the applications chapters. The series of applications includes one very thorough experimental sequence for the control of a hot-water bath.
Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data manag...
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Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data management. The combination of Web3.0 and edge content caching holds promise in providing low-latency data access for CAVs’ real-time applications. Web3.0 enables the reliable pre-migration of frequently requested content from content providers to edge nodes. However, identifying optimal edge node peers for joint content caching and replacement remains challenging due to the dynamic nature of traffic flow in IoV. Addressing these challenges, this article introduces GAMA-Cache, an innovative edge content caching methodology leveraging Graph Attention Networks (GAT) and Multi-Agent Reinforcement Learning (MARL). GAMA-Cache conceptualizes the cooperative edge content caching issue as a constrained Markov decision process. It employs a MARL technique predicated on cooperation effectiveness to discern optimal caching decisions, with GAT augmenting information extracted from adjacent nodes. A distinct collaborator selection mechanism is also developed to streamline communication between agents, filtering out those with minimal correlations in the vector input to the policy network. Experimental results demonstrate that, in terms of service latency and delivery failure, the GAMA-Cache outperforms other state-of-the-art MARL solutions for edge content caching in IoV.
The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 r...
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ISBN:
(数字)9783642208478
ISBN:
(纸本)9783642208461
The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.
Multiplication plays a critical role in SRAM-based Computing-in-Memory (CIM) architectures. However, current SRAM-based CIMs face three major limitations. First, they do not fully exploit bit-level sparsity, resulting...
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Multiplication plays a critical role in SRAM-based Computing-in-Memory (CIM) architectures. However, current SRAM-based CIMs face three major limitations. First, they do not fully exploit bit-level sparsity, resulting in unnecessary overhead in both latency and energy consumption. Second, the generation of numerous zero-dot products is superfluous. Third, the irregular organization of SRAM complicates the *** address these issues, we propose Shift-CIM, a general-purpose approach that fully leverages bit-level sparsity within SRAM-based multiplications. Shift-CIM aligns the multipliers within the SRAM array, accumulating only the required dot products based on the non-zero bits of the multipliers. Shift-CIM achieves a regular SRAM organization by assembling two irregular SRAM arrays in a transposed *** evaluations show that Shift-CIM is highly efficient, operating at a supply voltage of 0.9V and a frequency of 833MHz, while incurring only a 4.8% area overhead. Despite these modest requirements, Shift-CIM significantly accelerates multiplication operations, achieving up to 3.08 × the performance improvement and a 60% reduction in energy consumption compared to state-of-the-art designs.
Discrete track media offers many potential recording advantages over conventional continuous media in hard disk drives. In this study, we present a novel fabrication process for discrete track perpendicular magnetic m...
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