Traffic congestion becomes a cascading phenomenon when vehicles from road segment chaotically spill on to successive segments. Such uncontrolled dispersion of can be avoided by evenly distributing along alternative routes. This paper proposes practical multiagent-based approach, which is designed achieve acceptable route allocation within short time frame and with low communication overheads. In the proposed called Congestion Avoidance Route Allocation using Virtual Agent Negotiation...

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Significant time is wasted and fuel consumed as a result of vehicles cruising inside carparks looking for vacant carpark spaces, especially with an increasing number on the road. This could lead to traffic congestion delay in finding appropriate parking space traverse same areas. In this paper, we investigate smart car system using largely decentralized approach called CoPark, which explores advantages vehicle-to-vehicle (V2V) communication find choose park spaces. Based observations...

In rapidly growing transportation networks, traffic congestion can result from inefficient control infrastructure or ineffective measures. Existing management techniques in Intelligent Transportation Systems (ITS) have not been very effective due to lack of autonomous and collaborative behavior the constituent entities involved these techniques. Moreover, cannot easily adapt dynamics intelligence is mostly centralised making it susceptible overload failures. The distributed nature...

Healthcare has gradually moved away from the model centered on traditional health centers due to emergence of highly accurate sensors and Internet Things (IoT) enabled medical equipment. Ambient intelligence takes whatever actions are required in response a recognized event order enable continuous learning about patient data. The capabilities IoT-assisted healthcare services might be improved by incorporating autonomous control human-computer interface (HCI) technologies into ambient...

We examine whether retaining the former CEO as a board member has an impact on big bath accounting around turnovers. Early evidence shows that when turnover occurs, new uses to shift responsibility for low earnings toward previous management. However, is often retained. This event may restrict CEO's ability take bath. Using hand-collected sample of events in US firms, we find increases probability acts monitoring mechanism by reducing baths, especially opportunistic ones. Our findings...

Significant time is wasted and fuel consumed as a result of vehicles cruising inside carparks looking for vacant carpark spaces, especially with an increasing number on the road. This could lead to traffic congestion delay in finding appropriate parking space traverse same areas. In this paper, we investigate smart car system using largely decentralized approach called CoPark, which explores advantages vehicle-to-vehicle (V2V) communication find choose park spaces. Based observations...

Traffic congestion continues to be a persistent problem throughout the world. As vehicle-to-vehicle communication develops, there is an opportunity of using cooperation among close proximity vehicles tackle problem. The intuition that if could cooperate opportunistically when they come enough each other, could, in effect, spread themselves out alternative routes so do not all jam up on same roads. Our previous work proposed decentralized multiagent based vehicular management algorithm...

Our thesis is that operating in cyberspace challenging because exhibits extreme variety, high malleability, and velocity. These properties make largely inscrutable limits one's agency cyberspace, where the ability to exert influence transform state or behaviour of environment. With this thesis, we explore nature command control (C2), diagnose challenges for cyber C2, with treatment follow future work.

Automatic speech emotion recognition has received significant research attention in the domain of human-computer interaction during past ten years. However, current accuracy to be improved due a lack on fundamental temporal relationship waveform. Usually, includes calm, happy, sad, angry, fearful, surprise, and disgust emotions. Detecting classifying become challenge. We developed model detect present data using Long-Short Term Memory(LSTM). The input audio is preprocessed through various...

This study explores whether optimal asset allocation strategies, defined by permutations and combinations of different predictor variables, produce consistently superior performance for investors. We extend the literature exploring such strategies benefit investors over entire investment period or are forced to switch among alternative time. As benchmarks, we employ 1/N (equally weighted) myopic (no predictability) strategies. Persistence tests suggest that no single strategy outperforms...