Exploring Design Space For An Integrated Intelligent System

Understanding the trade-offs available in the design space of intelligent systems is a major unaddressed element in the study of Artificial Intelligence. In this paper we approach this problem in two ways. First, we discuss the development of our integrated robotic system in terms of its trajectory through design space. Second, we demonstrate the practical implications of architectural design decisions by using this system as an experimental platform for comparing behaviourally similar yet architecturally different systems. The results of this show that our system occupies a "sweet spot" in design space in terms of the cost of moving information between processing components

Cost Recovery and Fisheries Management in New Zealand

The presentation discusses fisheries management measures and services and how costs may be recovered

Ballistic Impact Mitigation Pad

In our senior design project we have decided to work under Dr. Jon Gerhardt on creating a gel pad to mitigate blunt force behind bulletproof vests. Extensive research on injury, materials, manufacturing methods, and NIJ standards was completed during this project. Through the use of advanced modeling software and additive manufacturing, we prototyped a functioning pad to test and compare to a pad that is currently available in today\u27s market. The results proved to be very successful, but there are many areas to improve upon down the road

A Poisson-spectral model for modelling temporal patterns in human data observed by a robot

The efficiency of autonomous robots depends on how well they understand their operating environment. While most of the traditional environment models focus on the spatial representation, long-term mobile robot operation in human populated environments requires that the robots have a basic model of human behaviour. We present a framework that allows us to retrieve and represent aggregate human behaviour in large, populated environments on extended temporal scales. Our approach, based on time-varying Poisson process models and spectral analysis, efficiently retrieves long-term, re-occurring patterns of human activity from robot-gathered observations and uses these patterns to i) predict human activity level at particular times and places and ii) classify locations based on their periodic patterns of activity. The application of our framework on real-world data, gathered by a mobile robot operating in an indoor environment for one month, indicates that its predictive capabilities outperform other temporal modelling methods while being computationally more efficient. The experiment also demonstrates that spectral signatures act as features that allow us to classify room types which semantically match with humans' expectations

A Modular Functional Electrical Stimulation (FES) System for Gait Assistance in Pediatric Cerebral Palsy

Foot drop, the inability to lift the forefoot during gait, is a common symptom of disorders such as diabetes, stroke, spina bifida, and cerebral palsy. This condition makes walking difficult and unsafe, often resulting in stumbles and falls due to lack of ground clearance. The current standard of care is orthotic bracing, which presents donning and doffing challenges, restricts ankle motion, and contributes to social stigma in many parts of the world. Functional electrical stimulation (FES) is an alternative approach which uses small amounts of electrical current delivered through skin-surface electrodes to stimulate peripheral nerves, thus generating muscle contraction and ultimately functional movement of a human limb. When packaged in a wearable device with onboard sensors capable of detecting gait phase, stimulation current can be applied to the lower leg to cause the foot to lift during the swing phase of gait. While several FES foot-drop systems are commercially available, they cost upward of $13,000 and provide a level of adjustability and complexity not needed for many conditions. The Messiah FES team is working to develop a low-cost, portable, easy-to-use, and durable electrical stimulation device to restore legged ambulation to children with mobility impairments resulting from cerebral palsy, spina bifida, and other conditions with similar effects. Our clinical partner is CURE Ethiopia, with our primary contacts being Dr. Tim Nunn and Dr. Laurence Wicks at the CURE Ethiopia Children\u27s Hospital in Addis Ababa, Ethiopia. Funding for this work provided by The Collaboratory for Strategic Partnerships and Applied Research.https://mosaic.messiah.edu/engr2022/1007/thumbnail.jp

Developing a Decision Support System to Manage Fisheries Externalities in New Zealand's Exclusive Economic Zone

New Zealand marine fishing activities create many types of environmental externalities. Legislation requires that the externalities be internalised and fisheries management agencies must choose from a wide range of instruments which are best suited to the task. Selection of best instruments can be aided by following a hierarchical decision process, which first screens the universe of instruments to produce a likely set, then tests that list against implementation criteria to establish the feasible set. Instruments in the feasible set can be evaluated against a range of environmental, Treaty of Waitangi, economic, socio-cultural and management criteria. This approach to selection can be formalised in decision support software to provide a useful tool for fisheries management agencies.Key words – New Zealand, fisheries, internalising externalities, Decision Support Syste