OPUS Publikationsserver der Hochschule Rhein-Waal
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    1076 research outputs found

    PRODUCTION OF IMPROVED OIL PALM BY-PRODUCT (OIL PALM FROND) AS ANIMAL FEED THROUGH SOLID STATE FERMENTATION WITH PLEUROTUS OSTREATUS

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    The increasing development and production of oil palm plantation in South-East Asian’s countries has led to the production of large quantities of biomass by-products. These by-products however are mostly fibrous in nature and they can hardly be valuable to be used as animal feed. Oil palm frond (OPF) is one of the oil palm’s by-product which are widely available, yet the utilization is hindered due to its high fibre content. In this study, the oil palm fronds, specifically the petiole part of it will be improved to be used as animal feed using solid state fermentation technique at the Faculty of Sustainable Agriculture (FSA) in Sandakan, Sabah by using Pleurotus ostreatus. The study was carried out to produce 30kg of treated OPF and to see if solid state fermentation technique using the mentioned fungus has the effect on the OPF. Cultivated Pleurotus ostreatus that are ready for inoculation was obtained from FSA fungus collection. It was then inoculated at the FSA general laboratory. For the OPF, they were collected from the oil palm farm in Telupid and they were ground into smaller and fine particles. 650 g of ground OPF was then be filled in the mushroom bag. For each mushroom bag, it was inoculated with one plate of Pleurotus ostreatus, and then all the samples were kept in the Mushroom House for fermentation. Samples were harvested after eight weeks. Dry matter, moisture content, organic matter and ash content of OPF, before and after fermentation were then evaluated in the lab. Dry matter and organic matter of treated OPF were found out to be decreasing while its moisture content and ash content were increasing. Solid state fermentation did take place on the OPF and 30 kg of treated OPF with Pleurotus ostreatus was managed to be produced

    A software architecture and reference implementation based on xAPI for a modular, personalized learning platform

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    Interactive learning platforms which include multiple modules and components require handling learning data and synchronizing progress across the entities. This thesis aims to create a control layer to manage the learning data and depict it on the user interface, as well as a learning path recommendation system to establish a learning path defined by the teacher. The project extends the pre-existing TierschutzErleben platform, utilizing a stateof-the-art specification for learning data, frontend framework, and a video game engine. A main control unit is developed to manage learning data and coordinate elements of the platform. To recommend learning paths, a system is created, and interfaces are established to validate communication. A service is introduced to relay events between components, with events containing instructions for executing appropriate actions on the receiving end. Additionally, a command execution system is implemented to manage these commands. The implementation of a single control layer, composed of the developed services, effectively coordinates data collected from multiple entities. The use of interfaces and the command execution system provides a clear and structured view of events and their corresponding actions

    Understanding the Impact of Livestock in Enhancing Food Security, Poverty Reduction, and Wealth Creation in the Moyamba District

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    This thesis research aims to discuss the impact of livestock management in enhancing food security, poverty reduction, and wealth creation in the moyamba district, Rural Sierra Leone. The study contains different chapters under the main research question with analysis. The first section starts with a brief background description of Sierra Leone's Agricultural sector in the context of livestock management and its contributions to the country's economy, poverty, and food security. Followed by the research objective, a semi-systematic literature review is conducted based on livestock management's impact and poverty reduction, lessons learned, and analysis of the significant constraint and opportunities for the sector's growth was presented using a conceptual framework. In chapter three, the writer uses a qualitative methodology to identify the different sections and data used in the thesis through a thematic approach. The results show that livestock management can contribute to the district's food security, poverty reduction, and wealth creation. However, factors such as poor road networks, weak governmental institutions/policies, insufficient funding, and lack of raw materials, among others, are critical issues affecting the development of the industry. On the other hand, traditional/cultural benefits and income generation are the district's main significant uses of livestock. Therefore, addressing these challenges through comprehensive interventions/policies will enable the people of the moyamba community to benefit from livestock and reduce poverty in the long term

    Künstliche Intelligenz und nachhaltiger Fast Fashion im E-Commerce - Machbarkeitsanalyse und qualitative Analyse zur kognitiven Dissonanz der Konsumenten

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    This thesis deals with the consumer purchasing behavior in the fast fashion segment. The central focus includes analyzing factors such as purchase intention, e-commerce trade, consequences and environmental impacts. The first section defines terms and compares current studies to each other. This is followed by a methodical discussion. In order to assess consumer purchasing behavior, semi-structured interviews were conducted, and digital diary entries were written by participants from generation Y and Z. Based on these results shopper types were identified

    Feasibility of Pfeiffer’s Circular Chromatography for testing soil and compost quality in the Environmental Labs at HSRW.

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    The utilization of a simple test, such as Pfeiffer's Circular Chromatography (PCC), has the potential to provide deeper insights into all the parameters affecting soil health. However, despite its promise, the method has yet to attain widespread adoption among farmers and universities, primarily due to challenges in interpreting its outcomes. This thesis investigates the application of PCC as a technique for soil analysis at Hochschule Rhein Waal University. The paper analyses compost and soil samples sourced from the Rhein Ruhr region, focusing on the potential of PCC in determining chemical parameters, including nitrate content, pH, and organic matter quantity. As a result, the aforementioned chemical parameters were documented and the economic viability of the methods were compared to PCC. The development of PCC is dependent on environmental conditions. To explore this aspect, the test was conducted under different lighting conditions and assessed by various researchers to gauge its interpretability. The paper evaluates the test's reliability based on its reproducibility. The PCC results were found to be sensitive to environmental conditions; nevertheless, the method displays potential in assessing overall soil and compost health on a relative scale. The paper suggests improvements to enhance the technique's quality and provides recommendations for further research to explore the various possibilities of PCC and its interpretation. In conclusion, with additional research and data collection on the PCC method coupled with the integration of existing technologies such as machine learning and AI, the potential exists to provide farmers with a rapid technique for assessing their soil

    Modelling Power Generation of Photovoltaics using Weather Data for the Design of an Electrolysis System

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    To simplify the process towards the development of necessary hydrogen energy storage systems, this research project provides important information and tools for the planning process of such systems on a small scale. Several questions about a solar powered system using hydrogen for energy storage designed for the companies WSN and ESN, could not be answered sufficiently with the available tools which made developing new tools necessary. This tool incorporates various input variables and PV energy generation data to simulate the system's performance over a year into a Microsoft Excel based simulation. Within the framework of the tool developed over the course of the thesis, theoretical exploration of various options for system composition can take place. The insights gained there can be transferred to the implementation of actual projects and have an impact on the speed at which these projects can be realized. The results of the simulation led to the proposal of a system designed for the company WSN, where hydrogen serves as a long-term energy storage solution. Notably, this approach significantly reduces the surplus energy that goes unused, making the system more efficient. This research contributes valuable insights and practical tools to enhance the planning and implementation of small-scale hydrogen energy storage projects

    Development and Implementation of a Cascade Torque Controller for a Motor Test Rig

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    Servo systems play an important role in the field of automation thanks to their great actuation capability. The majority of industrial servos rely on feeding back armature current for torque control based on the torque-current linear relationship. However, system non-linearity like input delay or external disturbances can make the built-in control mode no longer yields acceptable torque response. This thesis deals with two servo systems in coupling with a torque transducer on a motor test rig as part of a Hardware-in-the-Loop setup. The motor torque step response exhibits a large steady-state error and significant overshoot behavior. This thesis work takes two different approaches to develop a cascade controller that gives desired torque performance. One method is the popular PID control logic and the second is the modern State-Feedback Control architecture using Pole Placement technique. The controller design process is carried out based on an estimated plant model obtained from grey box system identification with experiment data. The designed cascade controllers are implemented and tested on the HIL system with different use cases and yield improved torque transient response with near-zero steady-state error and less than 5% overshoot under step input in both stationary and rotating conditions. The outer loop controllers are also able to reject intermittent disturbance and track low-frequency input better than the original system. The developed cascade control systems are characterized by high stability margins but limited bandwidth, hence not being able to compensate for the dynamic disturbance of frequency larger than 2.5 Hz. Overall, there are not many differences between the performance of the two control laws, as both can satisfy the system performance requirements

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