Information Flow Interactions Research Articles

The Digital Platform for Resolving Problems of Ecology of Disturbed Lands for Mining Companies with Open-pit Mining Based on Remote Sensing Resources and Artificial Intelligence

A justification for the creation of a center for remote sensing of the Earth from space is presented in order to monitor the environmental condition of the companies producing solid minerals on a federal scale. The use of artificial intelligence elements in the search for environmentally acceptable geometric parameters of the refuse dumps is shown. The structure of an algorithm for substantiating the technologies for formation and reclamation of the refuse dumps is disclosed, considering the natural and climatic characteristics of the territories where the mineral deposits are being developed. The interaction of information flows with subjects in the ecology of the mining industry is detailed.

A DSM‐Based CCPM‐MPL Representation Method for Project Scheduling under Rework Scenarios

Rework risks caused by information flow interactions have become a major challenge in project scheduling. To deal with this challenge, we propose a model integrating the critical chain project management method, design structure matrix method, and max‐plus method. Our model uses a start‐to‐start relationship of activities instead of the traditional finish‐to‐start relationship, which also allows overlaps between activities. We improve the accuracy of the rework safety time in two ways: (1) the overall overlapping effect is taken into consideration when calculating the rework time of an activity arising from the information flow interaction of its multiple predecessors overlapped with it; (2) the rework time arising from activity overlaps, the first rework time, and the second rework time are calculated as components of the rework safety time in our model, while the last one is ignored in traditional methods. Furthermore, the accuracy of time buffers is improved based on the improved rework safety time. Finally, we design the max‐plus method to generate project schedules and appropriately sized time buffers. The empirical results show that the project schedule generated by the proposed method has a higher on‐time completion probability, as well as more appropriately sized project buffers.

A mathematical neural network model to describe the interaction of information flows on the example of access to the hypervisor via the virtual machine

A mathematical neural network model to describe the interaction of information flows on the example of access to the hypervisor via the virtual machine

Determination of critical chain project buffer based on information flow interactions

It has been well accepted in the literature that co-dependency between project activity durations is caused by resource tightness and network complexity. However, we show that information flow interaction between activities is the key factor for it. Based on whether there exist spliced relationships between activities, we introduce the concept of rework safety time. We propose a method to compute the rework safety time using the information output and input time factors, rework probability matrix, and rework impact matrix. We achieve the optimization of the critical chain sequencing via the design structure matrix so that the dependency between activities is reduced. The project buffer is then determined by the tail concentration method based on the optimized chain. The empirical results show that, as opposed to the traditional RSEM method, our approach improves the project buffer consumption rate, shortens project duration, reduces project cost, and increases project on-time completion rate.

Optimisation of critical chain sequencing based on activities’ information flow interactions

One critique for the classic critical chain sequencing methods is that only resource constraints and logical relationships between activities are considered, while interactions of information flows are ignored. However, information flow interactions exist between almost all project activities and bring about big rework risk and rework costs in project management, especially for the long-term projects tied up with big amount of money. In this paper, we propose a new approach to sequence a project’s critical chain by considering activities’ information flow. Specifically, we use the design structure matrix to measure directions and intensities of information flows between activities. The criterion for critical chain sequencing is then to minimise the total coordination cost while considering the influence of feedbacks. The simulation results show that, as opposed to the traditional critical chain sequencing methods, our approach shortens average rework time and reduces the cost.

News, disaster risk, and time-varying uncertainty

Standard real business cycle models are often unable to replicate three empirical facts: positive output in response to good news, stochastic volatility of macro variables, and asymmetric business cycles. This paper proposes a unified basis for understanding these facts in a tractable dynamic stochastic general equilibrium (DSGE) model, in which the key is the interaction of information flows and disaster risk. Information flows fluctuate between two regimes with different precision levels for signals regarding future economic fundamentals. A shift in forecast precision changes the probability of entering an economic disaster. High disaster risk leads to low expected capital returns and a decline in hours, investment, and output. Changing information structures results in different volatility and skewness over the business cycle. Simple theory makes the two expectation effects through information flows and disaster risk transparent. Quantitatively, the model suggests that the interaction of the two expectation effects plays a significant role in accounting for the higher-order moments of the business cycle.

Estimation of packet time belay in high-speed computer networks

Considered is one of the stages of analysis of high-speed computer networks - estimation of time delay of data transmission. Transmission medium is used as the routing network. Given and substained is the stochastic model of estimation of time delay in the data transmission network which is compared to relative model, allows take into account more fully the interaction of information flows. The received analytical dependencies can be used for increasing the efficiency of load control in computer networks