A. Ahrens, C. Benavente-Peces, J. Zaščerinska, J. Melnikova, O. Purvinis
{"title":"Evaluation of Traffic Burstiness Using Gap-Based Microscopic Modelling","authors":"A. Ahrens, C. Benavente-Peces, J. Zaščerinska, J. Melnikova, O. Purvinis","doi":"10.1109/IIPhDW54739.2023.10124418","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124418","url":null,"abstract":"Quality of traffic flow is a precondition of the business competitiveness. Smooth delivery of customers or goods increases the company competitiveness. Analysis of overcrowded roads and traffic routes that impose major problems for traffic planning teams requires the evaluation of traffic burstiness. In many everyday situations such as rush hours in the morning or evening, the traffic appears bursty that creates so-called bottlenecks. Here the microscopic modelling of stochastic processes with measurable parameters has to be implemented in order to find optimization approaches for avoiding or smoothing bottlenecks. An efficient but simple way to model bursty traffic is to use gap distribution functions describing statistically the gaps (distance) between the neighbouring cars. However, suitable gap distribution functions have to be found as the common assumption of an exponential distribution of the gaps does not allow for any bursty traffic modelling. In this work a traffic model based on gaps is introduced, and ways to estimate the parameters of the stochastic system such as the car intensity and the car burstiness are given. The model is validated by a typical traffic light situation. Our results for a given car intensity and car burstiness in a street segment with one obstacle show that a longer green phase and a shorter red phase of the traffic light is an efficient way to decrease car burstiness.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117115561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Supreet Kaur, C. Krishna, Shakti Kumar, Jasmeet Singh
{"title":"Enhancement of PCA-Based Dimensionality Reduction Using BB-BC Optimization Algorithm","authors":"Supreet Kaur, C. Krishna, Shakti Kumar, Jasmeet Singh","doi":"10.1109/IIPhDW54739.2023.10124414","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124414","url":null,"abstract":"Dimensionality reduction is an important step for various applications where usage of the internet and multimedia systems is involved which requires huge bandwidth and storage space. This paper presents Big Bang-Big Crunch (BB-BC) optimization algorithm based two new approaches to feature selection for dimensionality reduction. In first approach, PCA is used to extract the features (eigenvectors) and defines feature set based on computation of knee point and BB-BC optimization algorithm, in turn selects an optimal subset from the predefined feature set. In the second approach, PCA is used only for feature extraction and BB-BC optimization algorithm is used for optimal feature selection from all extracted features. Olivetti Research Laboratory (ORL) face database has been used for performing the experiment and recognition rate is the parameter to be optimized for face recognition as an application area. The experimentation proves BB-BC as a powerful soft computing technique to solve such NP hard problems.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122800856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Model Iterative Learning Control with Application to Upper Limb Stroke Rehabilitation","authors":"Junlin Zhou, C. Freeman, W. Holderbaum","doi":"10.1109/IIPhDW54739.2023.10124411","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124411","url":null,"abstract":"Functional electrical stimulation (FES) is an upper limb stroke rehabilitation technology that can enable patients to recover their lost movement by assisting functional task training. Unfortunately, current FES controllers cannot simultaneously satisfy the competing demands of high accuracy, robustness to modelling error and minimal set-up/identification time that are needed for clinical or home deployment. To address this, an estimation-based multiple model switched iterative learning control framework is proposed, combining the most successful adaptive and learning properties of existing FES controllers. A practical design procedure guaranteeing robust performance is developed, and initial experimental results are then presented to confirm efficacy of the approach.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132073664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanane Bouhmoud, D. Loudyi, Andrea Giordano, S. Azhar, Mounia Farah
{"title":"Exploratory Study of the Gender Equity in the North African AEC Industry and Academia: Ratios, Causes and Remedial Actions","authors":"Hanane Bouhmoud, D. Loudyi, Andrea Giordano, S. Azhar, Mounia Farah","doi":"10.1109/IIPhDW54739.2023.10124425","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124425","url":null,"abstract":"Women in the Architecture, Engineering and Construction (AEC) industry and academia are widely underrepresented as they represent no more than 10% of the total employed workforce and far less in leadership positions. The construction sector is a booming industry and AEC fields experience a significant shortage in terms of workforce hence integrating females would be a considerable opportunity. Women in the AEC fields is still undiscussed in African context. Therefore, this paper aims to cast light on this topic, fill this knowledge gap. Based on a survey involving African 121 male and female operators in north African AEC fields, this research investigated the females” integration in both office and construction site positions and revealed four categories of key obstacles hindering women's inclusion and retention: behavioral, cultural, personal, and organizational that involve a total of 11 key obstacles with on the top “Underestimation, presumptions, and sexual harassment by male colleagues or hierarchy”, The paper suggested 5 sections including 16 remedial actions: legal, organizational, personal, technological, and financial. The study could be a starting point, for both scholars to develop further studies and decision-makers to build founded strategies, toward innovative and efficient solutions for gender equity in the AEC industry and academia.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"36 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132511927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combining Voltage and Current Control for Efficient Electrical Stimulation","authors":"Finn Rapp, C. Wiesener, Markus Valtin, T. Schauer","doi":"10.1109/IIPhDW54739.2023.10124415","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124415","url":null,"abstract":"This paper introduces a system architecture with an improved power consumption for functional electrical stimulation (FES). Based on a simple current-controlled stimulator design, an analog control loop is integrated into the feedback loop of the boost converter to manipulate the high-voltage generation. In that way, the output voltage is only as high as necessary to drive any desired pulsed current through tissue with variable impedance. The efficiency for the generation of monophasic stimulation pulses could be improved by about 50 %. Another advantage is the circuit's simplicity. The added voltage control loop has only a few additional components, is easy to understand, and therefor perfect for small, battery operated devices, where runtime is an important factor.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MEMS-Based Hydrogen Sensors: A State of the Art Review","authors":"Max Hoffmann, M. Wienecke, R. Ciudin","doi":"10.1109/IIPhDW54739.2023.10124400","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124400","url":null,"abstract":"This paper is set to show the requirements, properties and limitations of currently researched MEMS-based hydrogen sensors. It draws an outline on what measurement principles in combination with metal thin films are used to achieve functional MEMS sensors. Furthermore, the importance of more extensive simulation and calculation to understand the complex interaction between a hydrogen sensitive thin film and a MEMS structure is examined based on several previous works.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125839359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Niklas Huhs, J. Bartelt, O. Simanski, O. Hagendorf
{"title":"Development of a Diagnosis Technique for Air Conditioning Systems","authors":"Niklas Huhs, J. Bartelt, O. Simanski, O. Hagendorf","doi":"10.1109/IIPhDW54739.2023.10124403","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124403","url":null,"abstract":"The overall goal of this project is the development of a system to diagnose the efficiency of air conditioning systems by using modern IoT services and techniques of artificial intelligence. By finding errors in air conditioning systems, the involved company “Dr. Diestel GmbH” is able to offer optimization of the systems with low investment techniques to their customers. The process of diagnosis starts with the modelling of the investigated system and determination of measuring points. Sensors using the LoRaWAN technology are placed at these positions to measure and upload the data to the cloud. Different cloud services process the data to determine ways of optimization. To simplify and centralize the management of the used devices an application is developed, that will handle the registering of the devices in the cloud services and give an overview of a system and its measuring points. By comparing different cloud services and application frameworks, it was possible to create an easy-to-use and reliable system that handles the data flow and processing from the sensor to the diagnosis tool and guides the technician in placing and managing the sensors on site.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126434637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying Logistic Regression with Elastic Net and PCA to Determine the Objects Location in EIT","authors":"K. Król, T. Rymarczyk, E. Kozłowski, K. Niderla","doi":"10.1109/IIPhDW54739.2023.10124419","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124419","url":null,"abstract":"The article presents the application of logistic regression with Principal Components Analysis (PCA) and elastic net to find the localisation location in Electrical Impedance Tomography (EIT). The team's main focus was the use of machine learning algorithms in electrical tomography for object detection in a tank. Tomographic methods represent a dimensional image of the inside of the space rather than the individual points of the section under study. The study showed that the choice of the logistic regression method significantly affects the accuracy of the obtained results. For research purposes, specially designed numerical models were used.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maximilian Ringel, Daniela Jörss, Christian Fink, B. Buchholz
{"title":"Modeling the Combustion Behaviour of a Spark-Ignition Engine","authors":"Maximilian Ringel, Daniela Jörss, Christian Fink, B. Buchholz","doi":"10.1109/IIPhDW54739.2023.10124428","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124428","url":null,"abstract":"In this paper a fundamental combustion model for spark ignited engines is presented. The phenomenological model is implemented into MATLAB Simulink and allows the simulation of engine parameters for different operating conditions. The model is based on turbulent flame propagation and eddy burning processes as well as zero-dimensional thermodynamic model to calculate different in-cylinder values.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125252746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Field Test on Energy Flows in Residential Buildings with PV Systems, Heat Pump Based Heating and Battery Electric Car Operation","authors":"A. Wego","doi":"10.1109/IIPhDW54739.2023.10124432","DOIUrl":"https://doi.org/10.1109/IIPhDW54739.2023.10124432","url":null,"abstract":"Residential buildings are now often equipped with photovoltaic systems (PV) and heat pump based heating. Increasingly, battery electric vehicles (BEV) are used for mobility, which are charged regularly using home electricity. Both, the heat pump based heating and the electric vehicle are major consumers for a household. The photovoltaic system used should cover the corresponding energy requirements as far as possible. However, the currently feasible energy storage capacity in the private sector is not sufficient to balance the load profiles of consumers in the seasonal course in such a way that autarkic operation (i.e. no connection to the power grid) is economically and technically possible. In this article, the results of a one-year field test on the energy flows of a residential building with a photo-voltaic system, a heat pump based heating system and a battery electric vehicle are evaluated with regard to the seasonal load profiles and conclusions are drawn accordingly.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}