Lock-Based cache coherence protocol for chip multiprocessors

Chip multiprocessor (CMP) is replacing the superscalar processor due to its huge performance gains in terms of processor speed, scalability, power consumption and economical design. Since the CMP consists of multiple processor cores on a single chip usually with share cache resources, process synchronization is an important issue that needs to be dealt with. Synchronization is usually done by the operating system in case of shared memory multiprocessors (SMP). This work studies the effect of performing synchronization by the hardware through its integration with the cache coherence protocol. A novel cache coherence protocol, called Lock-based Cache Coherence Protocol (LCCP) was designed and its performance was compared with MESI cache coherence protocol. Experiments were performed by a functional multiprocessor simulator, MP_Simplesim, that was modified to do this work. A novel interconnection network was also designed and tested in terms of performance against the traditional bus approach by means of simulation

Concept of selfmaintaining vehicles

Main task of this paper is to present idea of selfmaintaining and make corresponding concept of selfmaintaining vehicles. Through setting parameters of selfmaintaining and providing algorithm of selfmaintenance in vehicles author made attempt to set basic principles in this area of research. Paper presents researched suitability of different drive-trains of vehicles for selfmaintaining. Also, convenient artificial intelligence model for selfmaintaining was reviewed and discussed. Paper discuss near future and future development of maintenance of the vehicles according to presence of mechanical and electrical components. Conclusions made in this papers describes possible ways of future development of maintenance

Concept of selfmaintaining vehicles

Main task of this paper is to present idea of selfmaintaining and make corresponding concept of selfmaintaining vehicles. Through setting parameters of selfmaintaining and providing algorithm of selfmaintenance in vehicles author made attempt to set basic principles in this area of research. Paper presents researched suitability of different drive-trains of vehicles for selfmaintaining. Also, convenient artificial intelligence model for selfmaintaining was reviewed and discussed. Paper discuss near future and future development of maintenance of the vehicles according to presence of mechanical and electrical components. Conclusions made in this papers describes possible ways of future development of maintenance

Sliding Mode Control of A DC Distributed Solar Microgrid

This paper proposes a standalone distributed photovoltaic system which includes two independently controlled solar power sources, a battery storage and a resistive load. Each of the PV panels consist of cascaded DC-DC boost converters controlled through two independent sliding mode controllers. The design and simulation of the supervisory controller are also discussed. First, maximum power point tracking (MPPT) control strategy is introduced to maximize the simultaneous energy harvesting from both renewable sources. Then, according to the power generation available at each renewable source and the state of charge in the battery, four contingencies will be considered in the supervisory controller. Moreover, power converters interfacing the source and common DC bus will be controlled as voltage sources under a Pi-sliding mode controller. Numerical simulations demonstrate accurate operation of the supervisory controller and functionality of the MPPT algorithm in each operating condition

Energy Harvesting Potential of Terfenol-D for On-Board Bearing Health Monitoring Applications

One of the limiting factors in on-board bearing health monitoring systems is the life of the batteries used to power the system. Thus, any device that can extend the life of the battery, or entirely replace it, is a notable improvement on any currently available systems. Existing on-board monitoring systems, not optimized for low power, are designed to run on approximately 300 mW of power. Current bearing health monitoring systems have proven effective with as few as one reading every four minutes. The environment under which railroad bearings operate is a harsh one, making most forms of energy harvesting very hard to implement. Terfenol-D is a novel and sustainable solution for this problem due to its durable characteristics and strong magnetostriction. A fixture is designed using multiple magnets of ranging magnetization to properly characterize energy harvesting using Terfenol-D. The maximum available power observed during these experiments is about 77 mW under ideal conditions. The generated power is sufficient to run low-power bearing health monitoring systems

Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management

The harsh environment imposes a unique set of challenges on networking strategies. In such circumstances, the environmental impact on network resources and long-time unattended maintenance has not been well investigated yet. To address these challenges, we propose a flexible and adaptive resource management framework that incorporates the environment awareness functionality. In particular, we propose a new network architecture and introduce the new functionalities against the traditional network components. The novelties of the proposed architecture include a deep-learning-based environment resource prediction module and a self-organized service management module. Specifically, the available network resource under various environmental conditions is predicted by using the prediction module. Then based on the prediction, an environment-oriented resource allocation method is developed to optimize the system utility. To demonstrate the effectiveness and efficiency of the proposed new functionalities, we examine the method via an experiment in a case study. Finally, we introduce several promising directions of resource management in harsh environments that can be extended from this paper.Comment: 8 pages, 4 figures, to appear in IEEE Network Magazine, 202