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Zwischen Transformation und Globalisierung - Immobilienmarkt und Stadtentwicklung in Warschau
(2006)
Nach der politischen Wende Ende der 1980er/Anfang der 1990er Jahre entwickelte sich in Warschau innerhalb kurzer Zeit ein hoch dynamischer Immobilienmarkt kapitalistischer Prägung, dessen Mechanismen grundlegende Auswirkungen auf die Stadtentwicklung Warschaus haben. Im folgenden Aufsatz werden die wesentlichen Eigenschaften des Büro- und Wohnungsmarkts aufgezeigt. Es werden für jeden Sektor die Funktionsweise, die wesentlichen Akteure der Nachfrage- und Angebotsseite, die Rolle der Institutionen und die räumlichen Konsequenzen dargestellt.
The motivation to deal with the topic simulation of the settlement development in a city in the past 120 years has been to acquire general methods for the analysis and simulation of settlement development processes on the one hand and to verify these methods on the example of the real development of the city of Vienna on the other hand. We follow the assumption that the underlying processes of the urban development can be reduced to various pronounced but always the same hidden driving forces. The objective is to validate the simulation model by the real settlement development and to provide a solid base for the simulation of possible development scenarios of the city of Vienna. The basis for the validation are digital cellular processed and statistical analysed data of the development of the technical infrastructure, the public transportation systems and the population density in Vienna between 1888 and 2001. The simulation method is based on the technique of Cellular Automata (CA) that permits the simulation of the interaction between a potential field and the development of individual areas. This modelling technique is well known as “reaction diffusion” or “dialectic breakdown”. The CA serves as representation of the examined space and divides this space into individual cells. Each of these cells can save certain information (population density, infrastructure facility, development quality) and exchange them locally with the neighbouring cells. The used model parameters permit the simulation of different spread patterns und spread speeds of a settlement structure. From the results methodological, structural, spatial and temporal regularities of urban development processes are derived.
Unsynchronized 4D Barcodes
(2007)
We present a novel technique for optical data transfer between public displays and mobile devices based on unsynchronized 4D barcodes. We assume that no direct (electromagnetic or other) connection between the devices can exist. Time-multiplexed, 2D color barcodes are displayed on screens and recorded with camera equipped mobile phones. This allows to transmit information optically between both devices. Our approach maximizes the data throughput and the robustness of the barcode recognition, while no immediate synchronization exists. Although the transfer rate is much smaller than it can be achieved with electromagnetic techniques (e.g., Bluetooth or WiFi), we envision to apply such a technique wherever no direct connection is available. 4D barcodes can, for instance, be integrated into public web-pages, movie sequences or advertisement presentations, and they encode and transmit more information than possible with single 2D or 3D barcodes.
We proposed two different time-dependent modeling approaches for variation of device characteristics of perovskite solar cells under stress conditions. The first approach follows Sah-Noyce-Shockley (SNS) model based on Shockley–Read–Hall recombination/generation across the depletion width of pn junction and the second approach is based on thermionic emission model for Schottky diodes. The connecting point of these approaches to time variation is the time-dependent defect generation in depletion width (W) of the junction. We have fitted the two models with experimental data reported in the literature to perovskite solar cell and found out that each model has a superior explanation for degradation of device metrics e.g. current density and efficiency by time under stress conditions. Nevertheless, the Sah-Noyce-Shockley model is more reliable than thermionic emission at least for solar cells.
A Hybrid Clustering and Classification Technique for Forecasting Short-Term Energy Consumption
(2018)
Electrical energy distributor companies in Iran have to announce their energy demand at least three 3-day ahead of the market opening. Therefore, an accurate load estimation is highly crucial. This research invoked methodology based on CRISP data mining and used SVM, ANN, and CBA-ANN-SVM (a novel hybrid model of clustering with both widely used ANN and SVM) to predict short-term electrical energy demand of Bandarabbas. In previous studies, researchers introduced few effective parameters with no reasonable error about Bandarabbas power consumption. In this research we tried to recognize all efficient parameters and with the use of CBA-ANN-SVM model, the rate of error has been minimized. After consulting with experts in the field of power consumption and plotting daily power consumption for each week, this research showed that official holidays and weekends have impact on the power consumption. When the weather gets warmer, the consumption of electrical energy increases due to turning on electrical air conditioner. Also, con-sumption patterns in warm and cold months are different. Analyzing power consumption of the same month for different years had shown high similarity in power consumption patterns. Factors with high impact on power consumption were identified and statistical methods were utilized to prove their impacts. Using SVM, ANN and CBA-ANN-SVM, the model was built. Sine the proposed method (CBA-ANN-SVM) has low MAPE 5 1.474 (4 clusters) and MAPE 5 1.297 (3 clusters) in comparison with SVM (MAPE 5 2.015) and ANN (MAPE 5 1.790), this model was selected as the final model. The final model has the benefits from both models and the benefits of clustering. Clustering algorithm with discovering data structure, divides data into several clusters based on similarities and differences between them. Because data inside each cluster are more similar than entire data, modeling in each cluster will present better results. For future research, we suggest using fuzzy methods and genetic algorithm or a hybrid of both to forecast each cluster. It is also possible to use fuzzy methods or genetic algorithms or a hybrid of both without using clustering. It is issued that such models will produce better and more accurate results.
This paper presents a hybrid approach to predict the electric energy usage of weather-sensitive loads. The presented methodutilizes the clustering paradigm along with ANN and SVMapproaches for accurate short-term prediction of electric energyusage, using weather data. Since the methodology beinginvoked in this research is based on CRISP data mining, datapreparation has received a gr eat deal of attention in thisresear ch. Once data pre-processing was done, the underlyingpattern of electric energy consumption was extracted by themeans of machine learning methods to precisely forecast short-term energy consumption. The proposed approach (CBA-ANN-SVM) was applied to real load data and resulting higher accu-racy comparing to the existing models.
2018 American Institute of Chemical Engineers Environ Prog, 2018
https://doi.org/10.1002/ep.12934
The vibration control of the tall building during earthquake excitations is a challenging task due to their complex seismic behavior. This paper investigates the optimum placement and properties of the Tuned Mass Dampers (TMDs) in tall buildings, which are employed to control the vibrations during earthquakes. An algorithm was developed to spend a limited mass either in a single TMD or in multiple TMDs and distribute them optimally over the height of the building. The Non-dominated Sorting Genetic Algorithm (NSGA – II) method was improved by adding multi-variant genetic operators and utilized to simultaneously study the optimum design parameters of the TMDs and the optimum placement. The results showed that under earthquake excitations with noticeable amplitude in higher modes, distributing TMDs over the height of the building is more effective in mitigating the vibrations compared to the use of a single TMD system. From the optimization, it was observed that the locations of the TMDs were related to the stories corresponding to the maximum modal displacements in the lower modes and the stories corresponding to the maximum modal displacements in the modes which were highly activated by the earthquake excitations. It was also noted that the frequency content of the earthquake has significant influence on the optimum location of the TMDs.
In this work, molecular separation of aqueous-organic was simulated by using combined soft computing-mechanistic approaches. The considered separation system was a microporous membrane contactor for separation of benzoic acid from water by contacting with an organic phase containing extractor molecules. Indeed, extractive separation is carried out using membrane technology where complex of solute-organic is formed at the interface. The main focus was to develop a simulation methodology for prediction of concentration distribution of solute (benzoic acid) in the feed side of the membrane system, as the removal efficiency of the system is determined by concentration distribution of the solute in the feed channel. The pattern of Adaptive Neuro-Fuzzy Inference System (ANFIS) was optimized by finding the optimum membership function, learning percentage, and a number of rules. The ANFIS was trained using the extracted data from the CFD simulation of the membrane system. The comparisons between the predicted concentration distribution by ANFIS and CFD data revealed that the optimized ANFIS pattern can be used as a predictive tool for simulation of the process. The R2 of higher than 0.99 was obtained for the optimized ANFIS model. The main privilege of the developed methodology is its very low computational time for simulation of the system and can be used as a rigorous simulation tool for understanding and design of membrane-based systems.
Highlights are, Molecular separation using microporous membranes. Developing hybrid model based on ANFIS-CFD for the separation process, Optimization of ANFIS structure for prediction of separation process
Das heterogene Gefüge der Stadt wird überlagert von „dualen“ Unterschieden: den lokalen und überregionalen Interessen. Der Beitrag beschreibt einen Teilhabeprozess, begonnen als (Zwischen-)Nutzung einer Industriebrache durch Anwohner in Friedrichshain,einem durch Gentrifizierung geprägten Berliner Stadtteil. Informelle Aktivitäten auf einem ehemaligen Reichsbahnausbesserungswerk (RAW) stehen als Konzept den formellen Planungsergebnissen gegenüber. Das aktive Umsetzen eigener Ideen durch die Nachbarschaft und der parteiübergreifende Anspruch der Bezirkspolitik, einen konsensualen Planungsprozess zu führen, veränderten die Form der Bürgerbeteiligung. Das könnte die planungstheoretischen Diskussionen um Governancemodelle bereichern.
Die Tragfähigkeit von Nägeln und Nagelverbindungen im Holzbau war lange Zeit ausschließlich über Tabellen, die auf experimentellen Untersuchungen basierten, geregelt. In den letzten 100 Jahren untersuchten unterschiedliche Forscher das Last-Verformungsverhalten dieser Verbindungen und entwickelten Modelle, mit denen auf Grundlage von analytischen Gleichungen die Tragfähigkeit und das Verformungsverhalten von Nägeln berechnet werden kann. Die zunächst in Not- und Sparkonstruktion eingesetzten Nägel werden heutzutage vor allem bei Tafelelementen verwendet. Im Bestand finden sich aber auch zahlreiche, teils weit gespannte Fachwerkkonstruktionen. In dem folgenden Beitrag werden die Erforschung und Entwicklung der Tragfähigkeit sowie des Verformungsverhaltens von genagelten Verbindungen detailliert und strukturiert erläutert. Die zugehörigen Meilensteine werden genauer betrachtet. Über unterschiedliche Methoden für die Bestimmung der Tragfähigkeit sowie mechanische Phänomene, die erst nach und nach entdeckt wurden, können in der aktuellen Normung sehr individuelle Verbindungen nachgewiesen und deren Verhalten beschrieben werden. Tabellen und Grafiken verdeutlichen die einzelnen Meilensteine der geschichtlichen Entwicklung und vergleichen konkret die normativen Regelungen seit Beginn der Einführung des Nagels in den Ingenieurholzbau in Deutschland. Hierbei kann gezeigt werden, dass einige Definitionen seit 1933 bis heute noch ihre Gültigkeit behalten.
The concept of information entropy together with the principle of maximum entropy to open channel flow is essentially based on some physical consideration of the problem under consideration. This paper is a discussion on Yeganeh and Heidari (2020)’s paper, who proposed a new approach for measuring vertical distribution of streamwise velocity in open channels. The discussers argue that their approach is conceptually incorrect and thus leads to a physically unrealistic situation. In addition, the discussers found some wrong mathematical expressions (which are assumed to be typos) written in the paper, and also point out that the authors did not cite some of the original papers on the topic.