Aiming at sustainable development, decision-making for operation of large dams requires the assessment of complex interrelations with neighbouring environmental, economic and social subsystems. To solve this kind of highly unstructured problems often DSS are recommended. This paper presents strengths and weaknesses of DSS application in general, focusing however on large dam operation. A charac...

Over the past few years, more and more systems and control concepts have been applied in reservoir engineering, such as optimal control, Kalman filtering, and model reduction. The success of these applications is determined by the controllability, observability, and identifiability properties of the reservoir at hand. The first contribution of this paper is to analyze and interpret the controll...

Eutrophication is a major problem in China. To combat this issue, the country needs to establish water quality targets, monitoring systems, and intelligent watershed management. This study explores a new watershed management method. Water quality is first assessed using a single factor index method. Then, changes in total nitrogen/total phosphorus (TN/TP) are analyzed to determine the limiting ...

Isotopic composition of (87) Sr:(86) Sr and natural elemental tracers (Sr, Ba, Mg, Mn and Ca) were quantified from otoliths in juvenile and adult Chinook salmon Oncorhynchus tshawytscha to assess the ability of otolith microchemistry and microstructure to reconstruct juvenile O. tshawytscha rearing habitat and growth. Daily increments were measured to assess relative growth between natal rearin...

Animals such as rats have innate and robust localization capabilities which allow them to navigate to goals in a maze. The rodent’s hippocampus, with the so called place cells, is responsible for such spatial processing. This work seeks to model these place cells using either supervised or unsupervised learning techniques. More specifically, we use a randomly generated recurrent neural network ...

Implantable devices are currently used regularly for chronic pain relief, cardiac pacemakers, arterial infusion for cancer and insulin delivery. A MEMS based implantable drug delivery system (IDDS) integrating a subcutaneous reservoir, an in plane silicon pump and associated circuitry for local or centralized delivery of therapeutic agents for chemotherapy is proposed. System configurations, fl...

This study is focused on developing an integrated optimization-simulation model to develop the operation policies for a multi-purpose reservoir. Objective function of the optimization model is considered to be a linear function of reliability, resiliency, and vulnerability of river-reservoir systems. Genetic Algorithm (GA) is used to solve the optimization model in which the coefficients of the...

Real-time processing of space-and-time-variant signals is imperative for perception and real-world problem-solving. In the brain, spatio-temporal stimuli are converted into spike trains by sensory neurons and projected to the neurons in subcortial and cortical layers for further processing. Reservoir Computing (RC) is a neural computation paradigm that is inspired by cortical Neural Networks (N...