3,568 research outputs found
Timetabling System for Medical Officer
The idea was proposed due to the issues that Medical Officer face which is
unorganized and unstructured duty roster management. Thus, inspired by Prototyping – based
methodology, Timetabling System for Medical officer was developed. This research studied
about the scheduling algorithm, tools and knowledge required for system development and the
development process involved. Feasibility study was carried out to ensure the timetabling
system can be develop within scope, time and constrains. Beside the main constrains, other
minor constrains such as cultural, technical and operational was included. Methodology
analysis is carried out in order to choose the suitable methodology to develop the system. The
prototype architecture is shown in the result and discussion. At the end of the report, few
recommendations were listed for the betterment of the system. Besides that, it also can be
used as the reference for the custodian to understand the current status of the project
Optimisation of Mobile Communication Networks - OMCO NET
The mini conference “Optimisation of Mobile Communication Networks” focuses on advanced methods for search and optimisation applied to wireless communication networks. It is sponsored by Research & Enterprise Fund Southampton Solent University.
The conference strives to widen knowledge on advanced search methods capable of optimisation of wireless communications networks. The aim is to provide a forum for exchange of recent knowledge, new ideas and trends in this progressive and challenging area. The conference will popularise new successful approaches on resolving hard tasks such as minimisation of transmit power, cooperative and optimal routing
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space
The generation of feasible adversarial examples is necessary for properly
assessing models that work in constrained feature space. However, it remains a
challenging task to enforce constraints into attacks that were designed for
computer vision. We propose a unified framework to generate feasible
adversarial examples that satisfy given domain constraints. Our framework can
handle both linear and non-linear constraints. We instantiate our framework
into two algorithms: a gradient-based attack that introduces constraints in the
loss function to maximize, and a multi-objective search algorithm that aims for
misclassification, perturbation minimization, and constraint satisfaction. We
show that our approach is effective in four different domains, with a success
rate of up to 100%, where state-of-the-art attacks fail to generate a single
feasible example. In addition to adversarial retraining, we propose to
introduce engineered non-convex constraints to improve model adversarial
robustness. We demonstrate that this new defense is as effective as adversarial
retraining. Our framework forms the starting point for research on constrained
adversarial attacks and provides relevant baselines and datasets that future
research can exploit
Precis of neuroconstructivism: how the brain constructs cognition
Neuroconstructivism: How the Brain Constructs Cognition proposes a unifying framework for the study of cognitive development that brings together (1) constructivism (which views development as the progressive elaboration of increasingly complex structures), (2) cognitive neuroscience (which aims to understand the neural mechanisms underlying behavior), and (3) computational modeling (which proposes formal and explicit specifications of information processing). The guiding principle of our approach is context dependence, within and (in contrast to Marr [1982]) between levels of organization. We propose that three mechanisms guide the emergence of representations: competition, cooperation, and chronotopy; which themselves allow for two central processes: proactivity and progressive specialization. We suggest that the main outcome of development is partial representations, distributed across distinct functional circuits. This framework is derived by examining development at the level of single neurons, brain systems, and whole organisms. We use the terms encellment, embrainment, and embodiment to describe the higher-level contextual influences that act at each of these levels of organization. To illustrate these mechanisms in operation we provide case studies in early visual perception, infant habituation, phonological development, and object representations in infancy. Three further case studies are concerned with interactions between levels of explanation: social development, atypical development and within that, developmental dyslexia. We conclude that cognitive development arises from a dynamic, contextual change in embodied neural structures leading to partial representations across multiple brain regions and timescales, in response to proactively specified physical and social environment
Home Energy Management System and Internet of Things: Current Trends and Way Forward
Managing energy in the residential areas has becoming essential with the aim of cost saving, to realize a practical approach of home energy management system (HEMS) in the area of heterogeneous Internet-of-Thing (IoT) devices. The devices are currently developed in different standards and protocols. Integration of these devices in the same HEMS is an issue, and many systems were proposed to integrate them efficiently. However, implementing new systems will incur high capital cost. This work aims to conduct a review on recent HEMS studies towards achieving the same objectives: energy efficiency, energy saving, reduce energy cost, reduce peak to average ratio, and maximizing user's comfort. Potential research directions and discussion on current issues and challenges in HEMS implementation are also provided
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A Framework for Performance-Based Facade Design: Approach for Multi-Objective and Automated Simulation and Optimization
Buildings have a considerable impact on the environment, and it is crucial to consider environmental and energy performance in building design. In this regard, decision-makers are required to establish an optimal solution, considering multi-objective problems that are usually competitive and nonlinear, such as energy consumption, financial costs, environmental performance, occupant comfort, etc. Sustainable building design requires considerations of a large number of design variables and multiple, often conflicting objectives, such as the initial construction cost, energy cost, energy consumption and occupant satisfaction. One approach to address these issues is the use of building performance simulations and optimization methods.
This paper presents a novel method for improving building facade performance, taking into consideration occupant comfort, energy consumption and energy costs. The paper discusses development of a framework, which is based on multi-objective optimization and uses the genetic algorithm in combination with building performance simulations. The framework utilizes EnergyPlus simulation engine and Python programming to implement optimization algorithm analysis and decision support. The framework enhances the process of performance-based facade design, couples simulation and optimization packages, and provides flexible and fast supplement in facade design process by rapid generation of design alternatives
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