Design and evaluation of functional gear for protection, fit and mobility

Functional wearables are a growing field at the intersection of fashion and technology. This research centers on the conceptual development of a fastening system in a functional wearable - fishing footwear - by assimilating utilitarian design values in a product design model. A project-based research methodology utilizing an iterative design process was used to create a multifunctional and technologically enabled closure system in fishing footwear. As part of the planning phase, an extensive review was conducted. This exploration substantiated the need for research centered around fastening systems for fishing footwear. A thorough investigative study was conducted as part of research phase including elaborate market reviews, hands-on test findings, analysis of various shoe closures and existing technologies. Five illustrative design concepts for fishing footwear fastening systems were created based on various ideations from outdoor products such as helmets, bag-packs, gaiters, etc. One fastening concept was selected using feedback from footwear design experts. The instrument (questionnaire) was developed emphasizing fit, protection and mobility parameters with a retail perspective for the proposed design concepts. As part of concept detailing phase, an intricate 3-D projection model and detailed technical specification sheet was developed adherent to design standards used in the footwear industry. This detailed design was henceforth validated through decision matrix analysis utilizing feedback from experts. In addition, an extended application of the shortlisted design solution in other outdoor gears was illustrated for demonstrating its generic utilitarian significance

Design and plan of a modified hydroponic shipping container for research

As the world’s population continues to increase, food production will need to increase in order to meet the predicted rise in food demand. However, with increased pressure on cropland available from environmental effects and urbanization, new innovative methods of crop production need to be researched in order to increase agricultural production with limited land. This research focuses on the design of a single form of urban agriculture that is considered Zfarming and has the potential to produce quality urban agricultural produce through ground-based measures. This project produced detailed step-by-step analysis of the design process, develop variability within the modified hydroponic shipping container (MHSC) for research potential, create AutoCAD drawings of the different MHSC systems and components, and lastly identify which design areas can be improved with suggestions to commercial manufacturers for increasing productivity. The research oriented MHSC will contain four growing areas, each consisting of a growing, irrigation, environmental control system. The main purpose of this MHSC system is as a research module to compare to commercial products available. Throughout the design process, there has been a focus on variability in experimental execution in order to find the most optimal MHSC growing conditions. The MHSC can produce numerous crops, has adjustable supporting units to vary the growing tray slope up to 5.5%, allows different lighting sources, adjustable distance from plants to lights (from 2” to 54”), has an adjustable drain to vary water height from ½” to 2” within the growing trays, contains variable pump to vary the flow rate (0.75 to 3 gpm), and potential for range of 3 to 60 air change per hour in the ventilation system. Four individual growing areas facilitate research experiments within one shipping container. To improve production based on observations from the bench tests conducted, a water cooling method was installed and the drain was re-designed. To improve the production potential of MHSCs, a focus increasing the environmental control accuracy, integration of harvesting automation, and improved energy efficiency are suggested. By designing this hydroponic shipping container to contain variable methods of production, further research will allow for optimization of production and an advantage in reaching the expected increase in food demand

The Use of Axiomatic Design in the Development of an Integrated, BIM Based Design Process

Traditionally in the Architectural / Engineering / Construction industry, the design and construction phases are conducted by multiple professional and trade disciplines having minimum interaction among them along a rather sequential process. These parties bring their different objectives to the project that are not necessarily aligned with the overall project objectives. Design professionals do not necessarily work together giving little or no consideration for the requirements or constraints of subsequent functions such as construction and operation and maintenance of the facility. Design documentation that communicates the design intent to the builder, contains errors and inconsistencies, are incomplete or are simply difficult to read. This results in poor designs that have to be changed or modified during the construction phase and even during the long-term facility operation, thus increasing total cost and time of execution. It has been established that the decisions made at early stages of the design process have the highest impact on the project lifecycle cost and facility performance. For that reason, new project delivery systems, software tools and lean principles have emerged in the industry enhancing collaboration among project participants and reducing the existing gap between the design and construction phases. The increased use of Building Information Modeling (BIM) allows project participants to generate, manage and share information through a 3D digital model to better collaborate, communicate and understand the design intent. Still, design and construction professionals do not necessarily share their models and collaborate in an integrated fashion to accrue the benefits of an early involvement during design. This research uses the Axiomatic Design (AD) methodology to analyze some essential aspects of the design process to propose an improved process that seeks to produce better designs by adding value and reducing waste. Axiomatic Design is a systems design methodology using matrix methods to systematically analyze the transformation of customer needs into functional requirements, design parameters, and process variables. In AD, design principles or design Axioms govern the analysis and decision making process to develop high quality product or system designs. This research proposes an integrated, BIM-based design approach embracing compliance with the two AD axioms. Axiom one, the Independence axiom, seeks to maintain the design adjustable and controllable, and implements lean principles, BIM processes and tools following the concepts established by a BIM Project Execution Plan. Computer simulation techniques, the development of metrics and the calculation of Axiom two, the Information Axiom, are used to assess the benefits of an improved process

Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs operate as stochastic systems because of randomness in the monitored environments. For long service time and low maintenance cost, WSNs require adaptive and robust methods to address data exchange, topology formulation, resource and power optimization, sensing coverage and object detection, and security challenges. In these problems, sensor nodes are to make optimized decisions from a set of accessible strategies to achieve design goals. This survey reviews numerous applications of the Markov decision process (MDP) framework, a powerful decision-making tool to develop adaptive algorithms and protocols for WSNs. Furthermore, various solution methods are discussed and compared to serve as a guide for using MDPs in WSNs

Automated deployment of machine learning applications to the cloud

The use of machine learning (ML) as a key technology in artificial intelligence (AI) is becoming more and more important in the increasing digitalization of business processes. However, the majority of the development effort of ML applications is not related to the programming of the ML model, but to the creation of the server structure, which is responsible for a highly available and error-free productive operation of the ML application. The creation of such a server structure by the developers is time-consuming and complicated, because extensive configurations have to be made. Besides the creation of the server structure, it is also useful not to put new ML application versions directly into production, but to observe the behavior of the ML application with respect to unknown data for quality assurance. For example, the error rate as well as the CPU and RAM consumption should be checked. The goal of this thesis is to collect requirements for a suitable server structure and an automation mechanism that generates this server structure, deploys the ML application and allows to observe the behavior of a new ML application version based on real-time user data. For this purpose, a systematic literature review is conducted to investigate how the behavior of ML applications can be analyzed under the influence of real-time user data before their productive operation. Subsequently, in the context of the requirements analysis, a target-performance analysis is carried out in the department of a management consulting company in the automotive sector. Together with the results of the literature research, a list of user stories for the automation tool is determined and prioritized. The automation tool is implemented in the form of a Python console application that enables the desired functionality by using IaC (Infrastructure as code) and the AWS (Amazon Web Services) SDK in the cloud. The automation tool is finally evaluated in the department. The ten participants independently carry out predefined usage scenarios and then evaluate the tool using a questionnaire developed on the basis of the TAM model. The results of the evaluation are predominantly positive and the constructive feedback of the participants includes numerous interesting comments on possible adaptions and extensions of the automation tool