Space Savings Research Articles

Self-service check-in kiosks in airport terminal planning: Static analysis on the airport check-in space

Self-service check-in kiosks are increasingly recognized as a cost-effective solution for expanding check-in capacity without the need for terminal building expansion. These kiosks serve as essential airport infrastructure, providing time savings for passengers, cost reductions for airlines, and optimized space utilization for airports. This study aims to investigate whether the claimed 49 percent reduction in required check-in space with the adoption of self-service check-in kiosks is valid and examines how various factors influence this space saving. A small sized airport with an average annual traffic of 1 million passengers and 500 Typical Peak Hour Passenger (TPHP) serves as the case study. Through static analysis, the study assesses the impact of failure rates associated with self-service check-in kiosks on overall space savings. The findings indicate that failure rates significantly diminish space savings, underscoring the importance of technology reliability in maximizing efficiency. Additionally, space savings are influenced by passenger demand, passenger profiles, processing times, queuing/waiting times and space per passenger. These results suggest that while self-service check-in kiosks can enhance operational efficiency and passenger satisfaction, their effectiveness is contingent upon managing technology reliability and understanding diverse passenger needs. Overall, this study highlights the potential of self-service check-in kiosk in improving airport operations while providing valuable insights for future implementations.

A Comparative Study of Text-Based Lossless Compression

Lossless data compression is a critical technique used to reduce file sizes without any loss of information during the encoding and decoding processes. This study presents a comparative analysis of two widely-used lossless compression algorithms: Huffman Encoding and Lempel-Ziv-Welch (LZW). The primary objective is to evaluate the performance of these algorithms in terms of compression ratio, compression time, decompression time, and space savings. The analysis was conducted on 100 files of varying sizes. The results demonstrate that the LZW algorithm outperforms Huffman Encoding, offering superior compression ratios, faster compression and decompression times, and greater disk space savings. These findings highlight the effectiveness of LZW for efficient data compression in practical applications.

Development and Test of Low-Cost Multi-Channel Multi-Frequency Lock-In Amplifier for Health and Environment Sensing.

Optical-based sensing techniques and instruments, such as fluorometric systems, absorbance-based sensors, and photoacoustic spectrometers, are important tools for detecting food fraud, adulteration, and contamination for health and environmental purposes. All the aforementioned optical equipments generally require one or more low-frequency Lock-In Amplifiers (LIAs) to extract the signal of interest from background noise. In the cited applications, the required LIA frequency is quite low (up to 1 kHz), and this leads to a simplification of the hardware with consequent good results in portability, reduced size, weight, and low-cost characteristics. The present system, called ENEA DSP Box Due, is based on a very inexpensive microcontroller proto-board and can replace four commercial LIAs, resulting in significant savings in both cost and space. Furthermore, it incorporates a dual-channel oscilloscope and a sinusoidal function generator. This article outlines the architecture of the ENEA DSP Box Due, its electrical characterization, and its applications within a project concerning laser techniques for food and water safety.

Design and Implementation of Deduplication on F2FS

Data deduplication technology has gained popularity in modern file systems due to its ability to eliminate redundant writes and improve storage space efficiency. In recent years, the flash-friendly file system (F2FS) has been widely adopted in flash memory-based storage devices, including smartphones, fast-speed servers, and Internet of Things. In this article, we propose F2DFS (deduplication-based F2FS), which introduces three main design contributions. First, F2DFS integrates inline and offline hybrid deduplication. Inline deduplication eliminates redundant writes and enhances flash device endurance, while offline deduplication mitigates the negative I/O performance impact and saves more storage space. Second, F2DFS follows the file system coupling design principle, effectively leveraging the potentials and benefits of both deduplication and native F2FS. Also, with the aid of this principle, F2DFS achieves high-performance and space-efficient incremental deduplication. Third, F2DFS adopts virtual indexing to mitigate deduplication-induced many-to-one mapping updates during the segment cleaning. We conducted comprehensive experimental comparisons between F2DFS, native F2FS, and other state-of-the-art deduplication schemes, using both synthetic and real-world workloads. For inline deduplication, F2DFS outperforms SmartDedup, Dmdedup, and ZFS, in terms of both I/O bandwidth performance and deduplication rates. And for offline deduplication, compared to SmartDedup, XFS, and BtrFS, F2DFS shows higher execution efficiency, lower resource usage, and greater storage space savings. Moreover, F2DFS demonstrates more efficient segment cleanings than native F2FS.

A lossy compression algorithm for data basis images based on DCT decomposition and diffuse representation

In this manuscript, we present a novel approach for compressing a database of images. Initially, we introduce a new representation that effectively reduces the data required to represent the image, enhancing the efficiency of subsequent compression steps. We apply the Discrete Cosine Transform (DCT) to the new representation and perform thresholding at different levels for a selected image. The DCT is known for concentrating image energy into a few coefficients, making it ideal for compression. By calculating the Peak Signal-to-Noise Ratio (PSNR) variation of the reconstructed image and evaluating the percentage of non-zero coefficients after thresholding, we plot the corresponding curve. These calculations provide insights into the quality of the reconstructed image, ensuring minimal degradation from compression. We repeat the steps with the Discrete Wavelet Transform (DWT), known for its multi-resolution analysis, to compare its performance against the DCT. The curves help us observe which process allows for image reconstruction with only a small percentage of coefficients, achieving significant data reduction. This comparative analysis determines the most effective method for various types of images. After analyzing the digital results from these curves, we generate and discuss the reconstructed image outcomes in detail. The digital and visual results presented at the conclusion demonstrate the robustness of the proposed strategy. We also explore potential applications in fields such as medical imaging, remote sensing, and multimedia storage, highlighting its versatility. Our findings suggest that the novel representation combined with DCT is highly effective, offering substantial storage space savings while maintaining image quality. These results are significant for theoretical research and practical implementations, providing a foundation for future advancements in image compression technologies.

A novel ECG compression algorithm using Pulse-Width Modulation integrated quantization for low-power real-time monitoring

Cardiac monitoring systems in Internet of Things (IoT) healthcare, reliant on limited battery and computational capacity, need efficient local processing and wireless transmission for comprehensive analysis. Due to the power-intensive wireless transmission in IoT devices, ECG signal compression is essential to minimize data transfer. This paper presents a real-time, low-complexity algorithm for compressing electrocardiogram (ECG) signals. The algorithm uses just nine arithmetic operations per ECG sample point, generating a hybrid Pulse Width Modulation (PWM) signal storable in a compact 4-bit resolution format. Despite its simplicity, it performs comparably to existing methods in terms of Percentage Root-Mean-Square Difference (PRD) and space-saving while significantly reducing complexity and maintaining robustness against signal noise. It achieves an average Bit Compression Ratio (BCR) of 4 and space savings of 90.4% for ECG signals in the MIT-BIH database, with a PRD of 0.33% and a Quality Score (QS) of 12. The reconstructed signal shows no adverse effects on QRS complex detection and heart rate variability, preserving both the signal amplitude and periodicity. This efficient method for transferring ECG data from wearable devices enables real-time cardiac activity monitoring with reduced data storage requirements. Its versatility suggests potential broader applications, extending to compression of various signal types beyond ECG.

Design of Extruder with Metering Section Removed and Replaced with Gear Pump for Machine Space Savings in Large Format Additive Manufacturing

Since its creation, the plastic extrusion screw has been applied to several manufacturing processes. One of the newest applications of this technology has been 3D printing. Using an extrusion screw allows higher extrusion rates than direct drive extruders using a filament spool. This paper further develops the design by decreasing the standard screw length by removing the metering zone and replacing it with a gear pump. This allows for a smaller machine footprint. Extruders are susceptible to surging (inconsistency of the melt pressure and flow rate). Adding a gear pump to the extruder increases flow consistency at the nozzle, but this adds additional length and weight. With the addition of this gear pump-based metering device, the metering section of the screw is redundant and can be removed. By creating a shorter extruder, manufacturers can increase the flow rate without increasing machine size. The proposed extruder design is validated through flow testing and analysis of voids in the bead cross-section with image processing. By showing that a consistent bead can be produced without a metering section in the extruder, this extruder design can print parts with a wide range of materials.

Automated Storage and Retrieval System for Warehouse

Manual picking and retrieval of items from storage locations can be time-consuming, leading to delays in order fulfillment. This can negatively impact customer satisfaction and the overall responsiveness of the supply chain. In addition, manual data entry and tracking systems are prone to human errors, resulting in discrepancies between recorded and actual inventory levels. This can lead to stockouts, overstocking, and difficulties in maintaining accurate inventory records. Therefore, a fully automated storage and retrieval system is proposed to tackle this problem. The overall system consists of infrared sensor as presence of item stored, LEDs indicator, warehouse model with compartments and stepper motors act as actuator to pick and place the item. This project aims to automate the storage and retrieval system with the assist of monitoring system for accurate tracking of inventory and space savings. The use of Programmable Logic Controller (PLC) in this project is a good representation of integrated automation technology in automated storage system design. Furthermore, monitoring system connected to a web-based system will be used to remotely monitor and operate the facility. Implementing an Automated Storage and Retrieval System (ASRS) in the warehouse can address these challenges by automating the storage, retrieval, and tracking of inventory.

FINANCIAL DATA SECURITY USING BLOCK CHAIN AND PROXY RE ENCRYPTION

A significant amount of data is currently preserved via the cloud. A few cryptography is used by Third Party Auditors (TPAs).frequently employed to verify data. more focused methods for requesting cloud data. The goal is to address the privacy and security declaration. By doing this, you may access information via the internet without having to deal with the hassle of web software. cloud-based storage It supports safe data storage on the cloud. Clouds are networked collections of data and mobile applications running on cloud platforms. We will have access to any record, including consumer records, from anywhere in the globe owing to cloud computing. on essence, it may be on the cloud. Used for large parking space, great scalability, and significant financial savings. Security is a problem with cloud computing. Keywords : Financial, Data Security, Block Chain, Proxy Encryption,

Experimental analysis of a tri-partite brazed plate gas cooler for CO2 heat pump water heaters

Gas cooler is a crucial component in CO2 systems, and its performance significantly influences the overall efficiency of the CO2-based heat pump system. Brazed plate heat exchangers feature a compact design, reduced refrigerant charge, enhanced heat transfer coefficient, and lower pressure drop, resulting in space savings and improved system performance. This experimental study investigates a water-cooled tri-partite brazed plate gas cooler in a CO2 heat pump. The tri-partite brazed plate gas cooler has a double effect: it allows matching the temperature glide of CO2 with that of water and meeting the requirements for both domestic hot water and space heating simultaneously. The experiments are conducted in only domestic hot water and combined space and domestic hot water operative modes. The effects of different operating parameters on heat duty, supply temperature, temperature approach, and pinch point location are evaluated. The actual conductance of gas coolers is calculated, and a new definition is adopted to determine the ϵ−NTU of gas coolers. Results show that preheating gas cooler (GC3) has a higher heat duty at pressures near the critical pressure. As the inlet pressure increases, the domestic hot water supply temperature increases, the pinch point moves to the cold end of GC3, and the temperature approach decreases. The LMTD method may result in an undersized or oversized CO2 gas cooler by up to ±50% for different pressures. The errors reach their maximum values when the temperature difference is low at the cold end and high at the hot end. The effectiveness ranges from 0.56 to 0.94 and the NTU ranges from 2.64 to 5.41. The gas cooler shows promising performance. The outcomes of this research are anticipated to serve as a valuable reference for enhancing the design and optimization of transcritical CO2 systems.

Membrane-based microfluidic systems for medical and biological applications.

Microfluidic devices with integrated membranes that enable control of mass transport in constrained environments have shown considerable growth over the last decade. Membranes are a key component in several industrial processes such as chemical, pharmaceutical, biotechnological, food, and metallurgy separation processes as well as waste management applications, allowing for modular and compact systems. Moreover, the miniaturization of a process through microfluidic devices leads to process intensification together with reagents, waste and cost reduction, and energy and space savings. The combination of membrane technology and microfluidic devices allows therefore magnification of their respective advantages, providing more valuable solutions not only for industrial processes but also for reproducing biological processes. This review focuses on membrane-based microfluidic devices for biomedical science with an emphasis on microfluidic artificial organs and organs-on-chip. We provide the basic concepts of membrane technology and the laws governing mass transport. The role of the membrane in biomedical microfluidic devices, along with the required properties, available materials, and current challenges are summarized. We believe that the present review may be a starting point and a resource for researchers who aim to replicate a biological phenomenon on-chip by applying membrane technology, for moving forward the biomedical applications.

Image-centric compression of protein structures improves space savings

BackgroundBecause of the rapid generation of data, the study of compression algorithms to reduce storage and transmission costs is important to bioinformaticians. Much of the focus has been on sequence data, including both genomes and protein amino acid sequences stored in FASTA files. Current standard practice is to use an ordinary lossless compressor such as gzip on a sequential list of atomic coordinates, but this approach expends bits on saving an arbitrary ordering of atoms, and it also prevents reordering the atoms for compressibility. The standard MMTF and BCIF file formats extend this approach with custom encoding of the coordinates. However, the brand new Foldcomp tool introduces a new paradigm of compressing local angles, to great effect. In this article, we explore a different paradigm, showing for the first time that image-based compression using global angles can also significantly improve compression ratios. To this end, we implement a prototype compressor ‘PIC’, specialized for point clouds of atom coordinates contained in PDB and mmCIF files. PIC maps the 3D data to a 2D 8-bit greyscale image and leverages the well developed PNG image compressor to minimize the size of the resulting image, forming the compressed file.ResultsPIC outperforms gzip in terms of compression ratio on proteins over 20,000 atoms in size, with a savings over gzip of up to 37.4% on the proteins compressed. In addition, PIC’s compression ratio increases with protein size.ConclusionImage-centric compression as demonstrated by our prototype PIC provides a potential means of constructing 3D structure-aware protein compression software, though future work would be necessary to make this practical.

Telemedicine in management of heart failure: experience of the south-east Tuscany in COVID-19 period

Abstract Background The lockdown imposed by the COVID-19 pandemic has prompted the implementation of the use of Telemedicine (TL), overcoming the assumption of a service: the simultaneous on-site presence of the producer and user of that service. We aimed to evaluate the impact of TL on the management of the out-patient (MOP) with heart failure in both clinical and economic terms. Methods A prospective randomized trial of heart failure patients was performed at the Medical Area Cardiology of Cortona Hospital, Tuscany. From May to September 2020, 300 patients were enrolled and followed for 9 months. They were equally and randomly assigned to the MOP group with the possibility of ordinary hospitalization or to the TL group and followed through home care. The groups were homogeneous in terms of gender, age, comorbidities, presence or absence of caregivers, ability to connect to internet, and provision of the necessary tools to monitor their condition. Results 48% of the services provided were TL (Televisit and Teleconsultation) while the remaining 52% were MOP services. There is no significant difference in terms of care delivered. In TL, per service, 0.09h were spent while in MOP 0.26h (also considering the application of anti-COVID procedures). In addition to savings in space, staffing and technology used, there was also a significant reduction in costs with TL (e.g., € 1600.00 per day of ICU admission, € 850.00 per day of ordinary hospitalization, € 150.00 per Emergency Department access). Conclusions TL has achieved economic savings, appropriateness of care with increased equity, effectiveness, and efficiency (due to continuous patient monitoring) resulting in reduced hospitalization. However, this requires an initial investment in resources as well as good integration between Hospital and Territory. Key messages • Telemedicine has reduced costs, time per visit, and resources in general. It constitutes an advantage for monitoring chronic patients. • To make the best use of telemedicine, a good network between hospital and territory is needed.

Lossless Data Compression for Time-Series Sensor Data Based on Dynamic Bit Packing.

In this paper, we propose a bit depth compression (BDC) technique, which performs bit packing by dynamically determining the pack size based on the pattern of the bit depth level of the sensor data, thereby maximally reducing the space wastage that may occur during the bit packing process. The proposed technique can dynamically perform bit packing according to the data's characteristics, which may have many outliers or several multidimensional variations, and therefore has a high compression ratio. Furthermore, the proposed method is a lossless compression technique, which is especially useful as training data in the field of artificial intelligence or in the predictive analysis of data science. The proposed method effectively addresses the spatial inefficiency caused by unpredictable outliers during time-series data compression. Additionally, it offers high compression efficiency, allowing for storage space savings and optimizing network bandwidth utilization while transmitting large volumes of data. In the experiment, the BDC method demonstrated an improvement in the compression ratio of up to 247%, with 30% on average, compared with other compression algorithms. In terms of energy consumption, the proposed BDC also improves data transmission using Bluetooth up to 34%, with 18% on average, compared with other compression algorithms.

The challenge of rehabilitating relocated listed heritage Buildings: Requirements and opportunities

This study evaluates three listed farmhouses in Ørland Municipality which are going to be relocated and rehabilitated according to current Norwegian standards and requirements. Accordingly, the study assesses possible challenges and solutions regarding energy upgrading and restoration while preserving their historic features and cultural heritage. The study suggests solutions for the energy rehabilitation of the three farmhouses based on a literature review, hygrothermal simulations and energy simulations. These solutions include thermal post-insulation of external walls and above the framework of joists against the cold attics with mineral wool, vacuum insulation panels (VIP), and aerogel blankets. Additionally, fenestration renovation options and the potential for implementation of building integrated photovoltaics (BIPV) are reviewed. Lastly, simulations of multiple energy-saving measures for each of the farmhouses have been conducted.A new foundation due to the relocation, together with post-insulation of the cold attic are found to be feasible measures considering the preservation of architectural appearance and authenticity. Regarding the external walls, post-insulating externally is preferable for the farmhouses considering moisture issues and interior space savings. However, it is important to consider any possible loss of cultural heritage value. Alternatively, internal thermal insulation with aerogel blankets may be a feasible solution due to its high thermal resistance applying small thicknesses. The results show that in some cases, enhancing old original windows with a secondary glazing is an equally good solution compared to a total replacement of the windows, and is recommended for cultural preservation. Implementation of BIPV contributed to meet the net energy demand requirement. Nevertheless, it is recommended that the chosen BIPV systems resemble an accepted roofing material from the regulatory requirements, e.g., slates, to accommodate the building’s architectural aesthetics and authenticity.This study provides insight and recommendations for the rehabilitation of three listed traditional farmhouses in Trøndelag County, addressing energy efficiency while preserving their cultural significance. The findings show that it is possible to achieve today’s energy requirements when rehabilitating listed heritage buildings. Results from energy simulations show that a reduction in net energy demand between 55 % and 75% is possible, while it is essential to note that each building is unique, and a case-by-case approach is needed. Nevertheless, the findings can be applicable for a general energy upgrading of heritage buildings.

CHARACTERISTICS AND OVERVIEW OF KNOWLEDGE OF CURRENT RESEARCH IN THE PRODUCTION OF HARMONIC GEARBOX

The range of applications for drives and gears stretches over numerous technological fields. The gearbox is found in every mechanical machine and represents only one small but important sub-application. Industry as a whole has a constant demand for new individual solutions tailored to solve particular problems. But again and again, it is called upon to find new ways of transmitting movements that a particular component is required to conduct so as to attain a particular result. Harmonic drive products are unique precision speed reducers playing important roles in robots, semiconductor manufacturing systems, factory automation equipment and furthermore, in aerospace equipment. The greatest benefits are the zero-backlash characteristics and the weight and space savings compared to other gears because our gear mechanism consists of only three basic parts. They are the: Wave Generator, Flexspline and Circular Spline.

Revolutionizing Education: SIPISA's Innovative Approach to Diploma Management

The rapid advancement of technology and information has revolutionized various aspects of human life, including education. The digital revolution has facilitated fast, extensive, and accurate information access, presenting opportunities to enhance work processes. In education, technology, and information systems play a crucial role in administrative management, including digital transcript archiving and diploma data. Sekolah Indonesia Kota Kinabalu (SIKK) oversees multiple Community Learning Centre (CLC) in Sabah and Sarawak, facing the challenge of educating and graduating a substantial number of students annually in the digital age. Challenges arise from diploma storage systems and potential data misuse. In response, SIKK developed The Information System and Diploma Services Application (SIPISA). SIPISA goes beyond transcript archiving, streamlining diploma retrieval and recording crucial student diploma information. The application offers various benefits, such as improved alumni data accessibility, reduced paper usage, optimized physical storage utilization, and enhanced diploma retrieval management. SIPISA prioritizes a user-friendly diploma retrieval experience for students, parents, CLC teachers, and stakeholders. SIPISA's development follows the principles of Extreme Programming (XP), emphasizing active engagement and adaptability. Thoroughly tested, SIPISA proves effective with digital diploma archiving, efficient tracking, early data misuse detection, expedited diploma legalization, storage space savings, improved service quality, seamless alumni data search, and access to graduation statistics. SIPISA revolutionizes diploma management and administration, providing an efficient and modern system for SIKK and CLC.

Energy Performance of Room Air-Conditioners and Ceiling Fans in Mixed-Mode Buildings

Studies show that people can tolerate elevated temperatures in the presence of appreciable air movement (e.g., from using ceiling fans). This minimises the use of air-conditioners and extends their set-point temperature (Tset), resulting in energy savings in space cooling. However, there is little empirical evidence on the energy savings from using ceiling fans with Room Air-Conditioners (RACs). To address this gap, we analysed the energy performance of RACs with both fixed-speed compressors and inverter technology at different set-point temperatures and ceiling fan speed settings in 15 residential Mixed-Mode Buildings (MMBs) in India. Thermal comfort conditions (as predicted by the Indian Model for Adaptive Comfort-Residential (IMAC-R)) with minimum energy consumption were maintained at a set-point temperature (Tset) of 28 and 30 ∘C and a fan speed setting of one. Compared with a Tset of 24 °C, a Tset of 28 and 30 °C resulted in energy savings of 44 and 67%, respectively. With the use of RACs, a configuration with a minimum fan speed was satisfactory for an optimal use of energy and for maintaining the conditions of thermal comfort. In addition, RACs with inverter technology used 34–68% less energy than fixed-speed compressors. With the rising use of RACs, particularly in tropical regions, the study’s outcomes offer a significant potential for reducing space-cooling energy consumption and the resultant greenhouse gas (GHG) emissions.

Efficient construction of the BWT for repetitive text using string compression

We present a new semi-external algorithm that builds the Burrows–Wheeler transform variant of Bauer et al. (a.k.a., BCR BWT) in linear expected time. Our method uses compression techniques to reduce computational costs when the input is massive and repetitive. Concretely, we build on induced suffix sorting (ISS) and resort to run-length and grammar compression to maintain our intermediate results in compact form. Our compression format not only saves space but also speeds up the required computations. Our experiments show important space and computation time savings when the text is repetitive. In moderate-size collections of real human genome assemblies (14.2 GB - 75.05 GB), our memory peak is, on average, 1.7x smaller than the peak of the state-of-the-art BCR BWT construction algorithm (ropebwt2), while running 5x faster. Our current implementation was also able to compute the BCR BWT of 400 real human genome assemblies (1.2 TB) in 41.21 hours using 118.83 GB of working memory (around 10% of the input size). Interestingly, the results we report in the 1.2 TB file are dominated by the difficulties of scanning huge files under memory constraints (specifically, I/O operations). This fact indicates we can perform much better with a more careful implementation of our method, thus scaling to even bigger sizes efficiently.

Dry Extrusion Process for Manufacturing of High-Energy Cathodes for Lithium-Ion Batteries

For a sustainable production of lithium ion batteries, more environmentally friendly, energy saving and faster strategies are required. For cathode production NCM/NCA layered oxides are commonly used as active materials. Nevertheless, application of the very toxic and teratogenic solvent N-methylpyrrolidone (NMP) is still common for the industrial production of these cathodes. Besides the high toxicity, the NMP recovery after coating is very energy-, time- and cost-intensive.As an alternative, to conventional NMP-based cathode production, we developed a dry extrusion process coupled with slot-die coating, to manufacture high-energy cathodes. The extrusion process offers continuous production, alongside a very good scalability to industrial demands and a significant reduction of mixing time. Since the process is NMP-free and the drying step is saved, it overcomes typical shortcomings of the wet coating as crack formation or binder migration occurring during solvent evaporation. In addition, producing high-energy electrodes leads to lower material costs and space savings, since less layers of Al/Cu foil and separator are required on cell level, compared to a battery of the same capacity and lower electrode mass loading.Herein, we present the development of a dry cathode manufacturing process, a suitable recipe for dry processing, consisting of NCM622, PVdF, carbon black and a superplasticizer, as well as the optimization of the formulation in terms of processability and active material content. We also discuss the influence of process parameters such as temperature or rotation speed on the viscosity of the cathode paste. As a proof of concept, we processed powder mixtures, corresponding to our optimized formulation with about 90 % of NCM, in a pilot scale twin-screw extruder. By melt extrusion through a slot die, we create a thin film from the cathode composite that we directly apply on an Al current collector. We show a schematic representation of the process in the attracted graphic. By repositioning of the electrode coil, we also produce double-sided coatings. After calendaring, we characterize the dry processed electrodes electrochemically in half-cells. The electrochemical performance data is comparable to state of the art cathodes and results are promising that even higher active material contents can be reached. Therefore, the solvent free extrusion of cathodes is highly relevant for industrial applications.AcknowledgementThe presented work was financially supported by BMBF within the project Tropex under the reference number 03XP0235C. Figure 1