@misc{13675, abstract = {{This paper extends a previously developed biobjective Mixed-Integer Linear Programming (MILP) methodology for reducing electricity costs and CO2 emissions in Smart-E-Factory applications. While the earlier approach assumed fixed photovoltaic (PV) and battery capacities, we now propose a cascaded optimization framework to determine the optimal sizing (power rating and orientation of the PV system, battery capacity) while simultaneously optimizing battery dispatch. The cost function combines operational costs with amortized investment costs of both PV and battery systems, embedded in a dynamic scheduling optimization that addresses real-time electricity price and CO2 signals. Numerical results indicate that intermediate capacities and balanced east/west orientation maximize cost-effectiveness and emission reductions. This study underscores the value of coupling parametric design and dispatch optimization to achieve scalable, sustainable solutions for industrial energy systems.}}, author = {{Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{ 6th International Conference on Electrical, Communication and Computer Engineering (ICECCE 2025) : 27-28 August 2025, Istanbul, Türkiye}}, isbn = {{979-8-3315-4915-2 }}, keywords = {{Photovoltaic systems, Cost, Electricity, Tariffs, Stochastic processes, Real-time systems, Robustness, Batteries, Planning, Mixed integer linear programming}}, location = {{Istanbul, Turkiye }}, publisher = {{IEEE}}, title = {{{Cascaded Optimization of PV and Battery Sizing Under Dynamic Cost and CO Signals}}}, doi = {{10.1109/icecce67514.2025.11257982}}, year = {{2025}}, } @misc{12834, abstract = {{In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform.}}, author = {{Wan, Jiafu and Yang, Jun and Wang, Shiyong and Li, Di and Li, Peng and Xia, Min}}, booktitle = {{IEEE Transactions on Industrial Informatics}}, issn = {{1941-0050}}, keywords = {{Heterogeneous networks, Real-time systems, Bandwidth, Job shop scheduling, Smart manufacturing, Computer architecture, Cross-network fusion, heterogeneous networks, network resource}}, number = {{9}}, pages = {{6059--6068}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory}}}, doi = {{10.1109/tii.2019.2952669}}, volume = {{16}}, year = {{2019}}, } @unpublished{2372, abstract = {{Novel industrial wireless applications require wideband, real-time channel characterization due to complex multipath propagation. Rapid machine motion leads to fast time variance of the channel's reflective behavior, which must be captured for radio channel characterization. Additionally, inhomogeneous radio channels demand highly flexible measurements. Existing approaches for radio channel measurements either lack flexibility or wide-band, real-time performance with fast time variance. In this paper, we propose a correlative channel sounding approach utilizing a software-defined architecture. The approach enables real-time, wide-band measurements with fast time variance immune to active interference. The desired performance is validated with a demanding industrial application example.}}, author = {{Fliedner, Niels Hendrik and Block, Dimitri and Meier, Uwe}}, booktitle = {{arXiv:1805.01236}}, keywords = {{Correlation, Wireless communication, Real-time systems, Logic gates, Frequency measurement, Libraries, Time measurement}}, pages = {{6}}, title = {{{A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance}}}, year = {{2018}}, } @inproceedings{2374, abstract = {{Novel industrial wireless applications require wideband, real-time channel characterization due to complex multipath propagation. Rapid machine motion leads to fast time variance of the channel's reflective behavior, which must be captured for radio channel characterization. Additionally, inhomogeneous radio channels demand highly flexible measurements. Existing approaches for radio channel measurements either lack flexibility or wide-band, real-time performance with fast time variance. In this paper, we propose a correlative channel sounding approach utilizing a software-defined architecture. The approach enables wide-band measurements with fast time variance immune to active interference. Furthermore, its real-time capability allows live processing on demand. The desired performance is validated with a demanding industrial application example.}}, author = {{Fliedner, Niels Hendrik and Block, Dimitri and Meier, Uwe}}, booktitle = {{2018 15th International Symposium on Wireless Communication Systems (ISWCS)}}, isbn = {{9781538650059}}, keywords = {{Correlation, Wireless communication, Real-time systems, Logic gates, Frequency measurement, Libraries, Time measurement}}, location = {{Lisbon, Portugal}}, title = {{{A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance}}}, doi = {{10.1109/iswcs.2018.8491207}}, year = {{2018}}, } @inproceedings{2376, abstract = {{Wireless industrial environments are dominated by multipath propagation and interference. In order to handle spatial diversity, a possible approach is dividing the physical area into many small cells. The spatial diversity is turned into FDMA by utilizing different frequency bands for neighboring cells. A challenging use case with fast vehicles traveling over long distances in a short time is the packaging industry. It would require many fast handoffs for each vehicle. Thus, a small cell FDMA approach is not appropriate. Conversely, employing radiating lines eliminates FDMA-based handoff issues, and reduces multipath delay spread and signal attenuation compared to centralized approaches. Additionally, radiating lines perform well in high-speed, low-power and long-range environments. In this paper, we realize a novel radiating-line-based, high-reliable, real-time transmission system with near-field coupling. This wireless transmission method results in a frequency-flat, time-invariant radio channel for the given requirements. Employing antenna diversity results in significant improvements in the system's performance compared to single antenna solutions.}}, author = {{Fliedner, Niels Hendrik and Meier, Uwe and Neugebauer, Thomas}}, booktitle = {{2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)}}, isbn = {{9781538671085}}, keywords = {{Spatial diversity, Antenna measurements, Real-time systems, Frequency measurement, Couplings, Antennas}}, location = {{ Turin, Italy}}, publisher = {{IEEE}}, title = {{{Performance Analysis of a High-Reliable Real-Time Wireless Transmission System with Near Field Coupling}}}, doi = {{10.1109/etfa.2018.8502494}}, year = {{2018}}, }