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The design of an image compressor for wireless capsule endoscopy is challenging due to the stringent constraints on the size and lifetime of the battery. In this paper, we present a single-pass endoscopic image compression algorithm which combines differential pulse-coded modulation (DPCM), color space transformation, sub-sampling, uniform quantization, and Golomb codes. Two methods are employed in order to improve the performance of existing DPCM-based endoscopic image compression algorithms. These are applying two-dimensional sub-sampling scheme for chrominance components of the image and modifying Golomb codes. Computationally, efficient hardware architecture is proposed which uses computationally simple operations: binary shift operations, logical operations, and addition and subtraction operations. It doesn’t need buffer memory. The hardware implementation of the architecture consumes 4.89 \(\upmu \)W power for transmitting two full-color images of \(256 \times 256 \) resolution. Experimental results show that the proposed image compression method achieves a good balance among compression ratio (11.02), reconstructed image quality (40.55 dB of peak signal-to-noise ratio), and computational complexity. The obtained performance improvement is significant as compared to the existing image compression methods for wireless capsule endoscopy application.
Kinde A. Fante; Basabi Bhaumik. Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes. Advances in Intelligent Systems and Computing 2021, 57 -80.
AMA StyleKinde A. Fante, Basabi Bhaumik. Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes. Advances in Intelligent Systems and Computing. 2021; ():57-80.
Chicago/Turabian StyleKinde A. Fante; Basabi Bhaumik. 2021. "Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes." Advances in Intelligent Systems and Computing , no. : 57-80.
During the development of new electroencephalography electrodes, it is important to surpass the validation process. However, maintaining the human mind in a constant state is impossible which in turn makes the validation process very difficult. Besides, it is also extremely difficult to identify noise and signals as the input signals are not known. For that reason, many researchers have developed head phantoms predominantly from ballistic gelatin. Gelatin-based material can be used in phantom applications, but unfortunately, this type of phantom has a short lifespan and is relatively heavyweight. Therefore, this article explores a long-lasting and lightweight (−91.17%) textile-based anatomically realistic head phantom that provides comparable functional performance to a gelatin-based head phantom. The result proved that the textile-based head phantom can accurately mimic body-electrode frequency responses which make it suitable for the controlled validation of new electrodes. The signal-to-noise ratio (SNR) of the textile-based head phantom was found to be significantly better than the ballistic gelatin-based head providing a 15.95 dB ± 1.666 (±10.45%) SNR at a 95% confidence interval.
Granch Tseghai; Benny Malengier; Kinde Fante; Lieva Van Langenhove. A Long-Lasting Textile-Based Anatomically Realistic Head Phantom for Validation of EEG Electrodes. Sensors 2021, 21, 4658 .
AMA StyleGranch Tseghai, Benny Malengier, Kinde Fante, Lieva Van Langenhove. A Long-Lasting Textile-Based Anatomically Realistic Head Phantom for Validation of EEG Electrodes. Sensors. 2021; 21 (14):4658.
Chicago/Turabian StyleGranch Tseghai; Benny Malengier; Kinde Fante; Lieva Van Langenhove. 2021. "A Long-Lasting Textile-Based Anatomically Realistic Head Phantom for Validation of EEG Electrodes." Sensors 21, no. 14: 4658.
Background Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomography (CT) scan images. This research mainly focused on segmenting liver and tumor from the abdominal CT scan images using a deep learning method and minimizing the effort and time used for a liver cancer diagnosis. The algorithm is based on the original UNet architecture. But, here in this paper, the numbers of filters on each convolutional block were reduced and new batch normalization and a dropout layer were added after each convolutional block of the contracting path. Results Using this algorithm a dice score of 0.96, 0.74, and 0.63 were obtained for liver segmentation, segmentation of tumors from the liver, and the segmentation of tumor from abdominal CT scan images respectively. The segmentation results of liver and tumor from the liver showed an improvement of 0.01 and 0.11 respectively from other works. Conclusion This work proposed a liver and a tumor segmentation method using a UNet architecture as a baseline. Modification regarding the number of filters and network layers were done on the original UNet model to reduce the network complexity and improve segmentation performance. A new class balancing method is also introduced to minimize the class imbalance problem. Through these, the algorithm attained better segmentation results and showed good improvement. However, it faced difficulty in segmenting small and irregular tumors.
Yodit Abebe Ayalew; Kinde Anlay Fante; Mohammed Aliy Mohammed. Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method. BMC Biomedical Engineering 2021, 3, 1 -13.
AMA StyleYodit Abebe Ayalew, Kinde Anlay Fante, Mohammed Aliy Mohammed. Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method. BMC Biomedical Engineering. 2021; 3 (1):1-13.
Chicago/Turabian StyleYodit Abebe Ayalew; Kinde Anlay Fante; Mohammed Aliy Mohammed. 2021. "Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method." BMC Biomedical Engineering 3, no. 1: 1-13.
Electroencephalogram (EEG) is the biopotential recording of electrical signals generated by brain activity. It is useful for monitoring sleep quality and alertness, clinical applications, diagnosis, and treatment of patients with epilepsy, disease of Parkinson and other neurological disorders, as well as continuous monitoring of tiredness/alertness in the field. We provide a review of textile-based EEG. Most of the developed textile-based EEGs remain on shelves only as published research results due to a limitation of flexibility, stickability, and washability, although the respective authors of the works reported that signals were obtained comparable to standard EEG. In addition, nearly all published works were not quantitatively compared and contrasted with conventional wet electrodes to prove feasibility for the actual application. This scenario would probably continue to give a publication credit, but does not add to the growth of the specific field, unless otherwise new integration approaches and new conductive polymer composites are evolved to make the application of textile-based EEG happen for bio-potential monitoring.
Granch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. The Status of Textile-Based Dry EEG Electrodes. Autex Research Journal 2021, 21, 63 -70.
AMA StyleGranch Berhe Tseghai, Benny Malengier, Kinde Anlay Fante, Lieva Van Langenhove. The Status of Textile-Based Dry EEG Electrodes. Autex Research Journal. 2021; 21 (1):63-70.
Chicago/Turabian StyleGranch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. 2021. "The Status of Textile-Based Dry EEG Electrodes." Autex Research Journal 21, no. 1: 63-70.
In this work, we have successfully developed a flexible, lightweight, and washable strain and moisture sensor textile fabric by printing poly(3,4-ethylenedioxythiophene) polystyrene sulfonate/polydimethylsiloxane-b-polyethylene oxide (PEDOT:PSS/PDMS) conductive polymer composite on knitted cotton fabric. A 60.2 kΩ/sq surface resistance has been obtained at a 30% ratio of PDMS to PEDOT:PSS at 0.012 g/cm2 solid add-on. The coated fabric was washed at 30 °C for 30 min in the presence of a standard detergent. It was observed that there was a 5.3% increase in surface resistance, i.e., 63.4 kΩ/sq. After coating, the fabric could still be stretched up to the infliction elongation of the fabric, i.e., 40%, with a significant change in surface resistance that makes it usable as a strain sensor. In addition, the conductive fabric showed a drop in surface resistance with an increase of the moisture regain up to 150%.
Granch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. PEDOT:PSS/PDMS-Coated Cotton Fabric for Strain and Moisture Sensors. Proceedings 2021, 68, 1 .
AMA StyleGranch Berhe Tseghai, Benny Malengier, Kinde Anlay Fante, Lieva Van Langenhove. PEDOT:PSS/PDMS-Coated Cotton Fabric for Strain and Moisture Sensors. Proceedings. 2021; 68 (1):1.
Chicago/Turabian StyleGranch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. 2021. "PEDOT:PSS/PDMS-Coated Cotton Fabric for Strain and Moisture Sensors." Proceedings 68, no. 1: 1.
Renewable energy sources (RESs) such as wind and solar are frequently hit by fluctuations due to, for example, insufficient wind or sunshine. Energy storage technologies (ESTs) mitigate the problem by storing excess energy generated and then making it accessible on demand. While there are various EST studies, the literature remains isolated and dated. The comparison of the characteristics of ESTs and their potential applications is also short. This paper fills this gap. Using selected criteria, it identifies key ESTs and provides an updated review of the literature on ESTs and their application potential to the renewable energy sector. The critical review shows a high potential application for Li-ion batteries and most fit to mitigate the fluctuation of RESs in utility grid integration sector. However, for Li-ion batteries to be fully adopted in the RESs utility grid integration, their cost needs to be reduced.
Henok Behabtu; Maarten Messagie; Thierry Coosemans; Maitane Berecibar; Kinde Anlay Fante; Abraham Kebede; Joeri Mierlo. A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration. Sustainability 2020, 12, 10511 .
AMA StyleHenok Behabtu, Maarten Messagie, Thierry Coosemans, Maitane Berecibar, Kinde Anlay Fante, Abraham Kebede, Joeri Mierlo. A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration. Sustainability. 2020; 12 (24):10511.
Chicago/Turabian StyleHenok Behabtu; Maarten Messagie; Thierry Coosemans; Maitane Berecibar; Kinde Anlay Fante; Abraham Kebede; Joeri Mierlo. 2020. "A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration." Sustainability 12, no. 24: 10511.
In the last three decades, the development of new kinds of textiles, so-called smart and interactive textiles, has continued unabated. Smart textile materials and their applications are set to drastically boom as the demand for these textiles has been increasing by the emergence of new fibers, new fabrics, and innovative processing technologies. Moreover, people are eagerly demanding washable, flexible, lightweight, and robust e-textiles. These features depend on the properties of the starting material, the post-treatment, and the integration techniques. In this work, a comprehensive review has been conducted on the integration techniques of conductive materials in and onto a textile structure. The review showed that an e-textile can be developed by applying a conductive component on the surface of a textile substrate via plating, printing, coating, and other surface techniques, or by producing a textile substrate from metals and inherently conductive polymers via the creation of fibers and construction of yarns and fabrics with these. In addition, conductive filament fibers or yarns can be also integrated into conventional textile substrates during the fabrication like braiding, weaving, and knitting or as a post-fabrication of the textile fabric via embroidering. Additionally, layer-by-layer 3D printing of the entire smart textile components is possible, and the concept of 4D could play a significant role in advancing the status of smart textiles to a new level.
Granch Tseghai; Benny Malengier; Kinde Fante; Abreha Nigusse; Lieva Van Langenhove. Integration of Conductive Materials with Textile Structures, an Overview. Sensors 2020, 20, 6910 .
AMA StyleGranch Tseghai, Benny Malengier, Kinde Fante, Abreha Nigusse, Lieva Van Langenhove. Integration of Conductive Materials with Textile Structures, an Overview. Sensors. 2020; 20 (23):6910.
Chicago/Turabian StyleGranch Tseghai; Benny Malengier; Kinde Fante; Abreha Nigusse; Lieva Van Langenhove. 2020. "Integration of Conductive Materials with Textile Structures, an Overview." Sensors 20, no. 23: 6910.
To satisfy the growing spectrum demands of emerging wireless applications, cognitive radios have been considered as a viable option. It enables dynamic spectrum access opportunistically using wideband spectrum sensing (WSS) methods to discover the temporarily free frequency bands. WSS requires a high-speed analog-to-digital converter (ADC), which has high power consumption and hardware complexity. Improving the power consumption and hardware complexity of the ADC is one of the existing challenges in energy-constrained applications. To alleviate this problem, we propose compressive sensing (CS) in maximum-minimum subband energy detection method to sense the wideband spectrum by utilizing the sparse nature of spectrum occupancy with the minimal possible number of measurements. The CS method uses Fourier Transform and chaotic sequence in designing the measurement matrix to achieve both determinacy and randomness. The Bayesian method is used to reconstruct the signal from the available measurements. From the reconstructed signal, the maximum-minimum subband energy detection (ED) method is used to decide whether the primary user (PU) is absent or present in a particular frequency band. The simulation results show that the proposed CS-based maximum-minimum subband energy detection approach improves the probability of detection by 7.5% compared to the conventional maximum-minimum subband energy detection method of spectrum sensing. The proposed spectrum sensing method is simple and robust to noise uncertainty and signal strength variations.
Desalegn T. Dagne; Kinde A. Fante; Getachew A. Desta. Compressive sensing based maximum-minimum subband energy detection for cognitive radios. Heliyon 2020, 6, 1 .
AMA StyleDesalegn T. Dagne, Kinde A. Fante, Getachew A. Desta. Compressive sensing based maximum-minimum subband energy detection for cognitive radios. Heliyon. 2020; 6 (9):1.
Chicago/Turabian StyleDesalegn T. Dagne; Kinde A. Fante; Getachew A. Desta. 2020. "Compressive sensing based maximum-minimum subband energy detection for cognitive radios." Heliyon 6, no. 9: 1.
For electrocardiography (ECG) applications, gel dependant metallic electrodes such as Ag/AgCl are typically used, but these cause skin irritation and become dehydrated over time. To overcome these problems, a flexible electro-conductive textile material with a surface resistance of 332.5 Ω/sq and resistivity of 6.6 Ω.cm has been developed by coating PEDOT:PSS/PDMS on cotton fabric via flat screen printing. The coated fabric has been used to construct ECG electrodes and was compared with standard Ag/AgCl electrodes. An ECG waveform (with peaks P = 0.14 mV, QRS = 0.96 mV and T = 0.36 mV) has been collected with the textile-based electrodes during 3 minutes of static ECG measurement. The signal quality was comparable with the Ag/AgCl standard electrodes (P = 0.15 mV, QRS = 0.98 mV and T = 0.48 mV). The textile-based dry electrodes could potentially replace the gelled standard biopotential electrodes and avoid associated problems, especially for prolonged monitoring.
Granch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Abreha Bayrau Nigusse; Bulcha Belay Etana; Lieva Van Langenhove. PEDOT:PSS/PDMS-coated cotton fabric for ECG electrode. 2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) 2020, 1 -4.
AMA StyleGranch Berhe Tseghai, Benny Malengier, Kinde Anlay Fante, Abreha Bayrau Nigusse, Bulcha Belay Etana, Lieva Van Langenhove. PEDOT:PSS/PDMS-coated cotton fabric for ECG electrode. 2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). 2020; ():1-4.
Chicago/Turabian StyleGranch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Abreha Bayrau Nigusse; Bulcha Belay Etana; Lieva Van Langenhove. 2020. "PEDOT:PSS/PDMS-coated cotton fabric for ECG electrode." 2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) , no. : 1-4.
The purpose of this research work was to develop a textile-based strain sensor. A conductive textile fabric was produced by the coating of knitted cotton fabric with in-situ polymerization of polypyrrole. The sensor consists of a conductive textile as an electrode, stainless steel yarn as interconnection, Arduino Nano as a controller, HC05 Bluetooth module, and a Lithium polymer battery as a power source. For the demonstration, the sensor was placed on the upper arm and bicep stretch was performed. It was observed that the contraction of the arm muscle causes a reduction in resistance of the electrode. Therefore, change in swelling was successfully detected from the increase and drop of resistance during contraction and relaxation of the muscle. This principle could be applied to determine the status of peripheral edema, where the increase in resistance in this work indicates edema is becoming severe.
Granch Berhe Tseghai; B Malengier; D A Mengistie; Kinde A. Fante; L Van Langenhove. Knitted Cotton Fabric Strain Sensor by In-situ Polymerization of Pyrrole. IOP Conference Series: Materials Science and Engineering 2020, 827, 012041 .
AMA StyleGranch Berhe Tseghai, B Malengier, D A Mengistie, Kinde A. Fante, L Van Langenhove. Knitted Cotton Fabric Strain Sensor by In-situ Polymerization of Pyrrole. IOP Conference Series: Materials Science and Engineering. 2020; 827 (1):012041.
Chicago/Turabian StyleGranch Berhe Tseghai; B Malengier; D A Mengistie; Kinde A. Fante; L Van Langenhove. 2020. "Knitted Cotton Fabric Strain Sensor by In-situ Polymerization of Pyrrole." IOP Conference Series: Materials Science and Engineering 827, no. 1: 012041.
The conductive polymer complex poly (3,4-ethylene dioxythiophene):polystyrene sulfonate (PEDOT:PSS) is the most explored conductive polymer for conductive textiles applications. Since PEDOT:PSS is readily available in water dispersion form, it is convenient for roll-to-roll processing which is compatible with the current textile processing applications. In this work, we have made a comprehensive review on the PEDOT:PSS-based conductive textiles, methods of application onto textiles and their applications. The conductivity of PEDOT:PSS can be enhanced by several orders of magnitude using processing agents. However, neat PEDOT:PSS lacks flexibility and strechability for wearable electronics applications. One way to improve the mechanical flexibility of conductive polymers is making a composite with commodity polymers such as polyurethane which have high flexibility and stretchability. The conductive polymer composites also increase attachment of the conductive polymer to the textile, thereby increasing durability to washing and mechanical actions. Pure PEDOT:PSS conductive fibers have been produced by solution spinning or electrospinning methods. Application of PEDOT:PSS can be carried out by polymerization of the monomer on the fabric, coating/dyeing and printing methods. PEDOT:PSS-based conductive textiles have been used for the development of sensors, actuators, antenna, interconnections, energy harvesting, and storage devices. In this review, the application methods of PEDOT:SS-based conductive polymers in/on to a textile substrate structure and their application thereof are discussed.
Granch Berhe Tseghai; Desalegn Alemu Mengistie; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. PEDOT:PSS-Based Conductive Textiles and Their Applications. Sensors 2020, 20, 1881 .
AMA StyleGranch Berhe Tseghai, Desalegn Alemu Mengistie, Benny Malengier, Kinde Anlay Fante, Lieva Van Langenhove. PEDOT:PSS-Based Conductive Textiles and Their Applications. Sensors. 2020; 20 (7):1881.
Chicago/Turabian StyleGranch Berhe Tseghai; Desalegn Alemu Mengistie; Benny Malengier; Kinde Anlay Fante; Lieva Van Langenhove. 2020. "PEDOT:PSS-Based Conductive Textiles and Their Applications." Sensors 20, no. 7: 1881.
In this work, we have successfully produced a conductive and stretchable knitted cotton fabric by screen printing of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(dimethylsiloxane-b-ethylene oxide)(PDMS-b-PEO) conductive polymer composite. It was observed that the mechanical and electrical properties highly depend on the proportion of the polymers, which opens a new window to produce PEDOT:PSS-based conductive fabric with distinctive properties for different application areas. The bending length analysis proved that the flexural rigidity was lower with higher PDMS-b-PEO to PEDOT:PSS ratio while tensile strength was increased. The SEM test showed that the smoothness of the fabric was better when PDMS-b-PEO is added compared to PEDOT:PSS alone. Fabrics with electrical resistance from 24.8 to 90.8 kΩ/sq have been obtained by varying the PDMS-b-PEO to PEDOT:PSS ratio. Moreover, the resistance increased with extension and washing. However, the change in surface resistance drops linearly at higher PDMS-b-PEO to PEDOT:PSS ratio. The conductive fabrics were used to construct textile-based strain, moisture and biopotential sensors depending upon their respective surface resistance.
Granch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Abreha Bayrau Nigusse; Lieva Van Langenhove. Development of a Flex and Stretchy Conductive Cotton Fabric Via Flat Screen Printing of PEDOT:PSS/PDMS Conductive Polymer Composite. Sensors 2020, 20, 1742 .
AMA StyleGranch Berhe Tseghai, Benny Malengier, Kinde Anlay Fante, Abreha Bayrau Nigusse, Lieva Van Langenhove. Development of a Flex and Stretchy Conductive Cotton Fabric Via Flat Screen Printing of PEDOT:PSS/PDMS Conductive Polymer Composite. Sensors. 2020; 20 (6):1742.
Chicago/Turabian StyleGranch Berhe Tseghai; Benny Malengier; Kinde Anlay Fante; Abreha Bayrau Nigusse; Lieva Van Langenhove. 2020. "Development of a Flex and Stretchy Conductive Cotton Fabric Via Flat Screen Printing of PEDOT:PSS/PDMS Conductive Polymer Composite." Sensors 20, no. 6: 1742.
Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications. The existing image compression algorithms for WCE employ the generalpurpose image quality assessment (IQA) methods to evaluate the quality of the compressed image. Due to the specific nature of the images captured by WCE, the general-purpose IQA methods are not optimal and give less correlated results to that of subjective IQA (visual perception). This paper presents improved image quality assessment techniques for wireless capsule endoscopy applications. The proposed objective IQA methods are obtained by modifying the existing full-reference image quality assessment techniques. The modification is done by excluding the noninformative regions, in endoscopic images, in the computation of IQA metrics. The experimental results demonstrate that the proposed IQA method gives an improved peak signal-tonoise ratio (PSNR) and structural similarity index (SSIM). The proposed image quality assessment methods are more reliable for compressed endoscopic capsule images.
Kinde Anlay Fante; Fetulhak Abdurahman; Mulugeta Tegegn Gemeda. An Ingenious Application-Specific Quality Assessment Method for Compressed Wireless Capsule Endoscopy Images. Transactions on Environment and Electrical Engineering 2019, 4, 18 -24.
AMA StyleKinde Anlay Fante, Fetulhak Abdurahman, Mulugeta Tegegn Gemeda. An Ingenious Application-Specific Quality Assessment Method for Compressed Wireless Capsule Endoscopy Images. Transactions on Environment and Electrical Engineering. 2019; 4 (1):18-24.
Chicago/Turabian StyleKinde Anlay Fante; Fetulhak Abdurahman; Mulugeta Tegegn Gemeda. 2019. "An Ingenious Application-Specific Quality Assessment Method for Compressed Wireless Capsule Endoscopy Images." Transactions on Environment and Electrical Engineering 4, no. 1: 18-24.
Fifth Generation (5G) communication systems applications are expected to use or require lower latency, higher data rates, and efficient spectrum usage which are impacted by the adopted modulation scheme. Thus, proper selection and usage of efficient modulation scheme is crucial. Orthogonal Frequency Division Multiplexing (OFDM) suffers from high peak to average power ratio, which results in low efficiency of power amplifier and increases the battery consumption. Moreover, the OFDM spectrum has high out of band side lobes or side lobe leakage causing problem of low spectral efficiency. So, to overcome some of these drawbacks new modulation techniques for 5G communication systems such as Generalized Frequency Division Multiplexing (GFDM), filtered – OFDM (f-OFDM), Universal Filtered Multi-Carrier (UFMC), Filter Bank Multi-Carrier (FBMC) are considered. In this paper, we perform the comparative study of UFMC and FBMC in terms of Spectral Efficiency (SE) and Power Spectral Density (PSD). Simulations were done to evaluate the performance variation that can be achieved by varying the parameters of these modulation techniques, such as filter length, burst duration and overlapping factor. Our simulation results show that, FBMC has better SE for large burst durations whereas UFMC is better for small burst durations. In terms of PSD, FBMC has lower side lobe than UFMC. This implies that FBMC is more preferable to minimize the inter symbol interference and inter carrier interference.
Getachew H. Geleta; Dereje M. Molla; Kinde A. Fante. Comparative Study of Modulation Techniques for 5G Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019, 503 -518.
AMA StyleGetachew H. Geleta, Dereje M. Molla, Kinde A. Fante. Comparative Study of Modulation Techniques for 5G Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2019; ():503-518.
Chicago/Turabian StyleGetachew H. Geleta; Dereje M. Molla; Kinde A. Fante. 2019. "Comparative Study of Modulation Techniques for 5G Networks." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 503-518.
An image compressor inside wireless capsule endoscope should have low power consumption, small silicon area, high compression rate and high reconstructed image quality. Simple and efficient image compression scheme, consisting of reversible color space transformation, quantization, subsampling, differential pulse code modulation (DPCM) and Golomb–Rice encoding, is presented in this paper. To optimize these methods and combine them optimally, the unique properties of human gastrointestinal tract image are exploited. Computationally simple and suitable color spaces for efficient compression of gastrointestinal tract images are proposed. Quantization and subsampling methods are optimally combined. A hardware-efficient, locally adaptive, Golomb–Rice entropy encoder is employed. The proposed image compression scheme gives an average compression rate of 90.35 % and peak signal-to-noise ratio of 40.66 dB. ASIC has been fabricated on UMC130nm CMOS process using Faraday high-speed standard cell library. The core of the chip occupies 0.018 mm\(^2\) and consumes 35 \(\upmu {\text {W}}\) power. The experiment was performed at 2 frames per second on a \(256\times 256\) color image. The power consumption is further reduced from 35 to 9.66 \(\upmu \)W by implementing the proposed image compression scheme using Faraday low-leakage standard cell library on UMC130nm process. As compared to the existing DPCM-based implementations, our realization achieves a significantly higher compression rate for similar area and power consumption. We achieve almost as high compression rate as can be achieved with existing DCT-based image compression methods, but with an order of reduced area and power consumption.
Kinde A. Fante; Basabi Bhaumik; Shouri Chatterjee. Design and Implementation of Computationally Efficient Image Compressor for Wireless Capsule Endoscopy. Circuits, Systems, and Signal Processing 2015, 35, 1677 -1703.
AMA StyleKinde A. Fante, Basabi Bhaumik, Shouri Chatterjee. Design and Implementation of Computationally Efficient Image Compressor for Wireless Capsule Endoscopy. Circuits, Systems, and Signal Processing. 2015; 35 (5):1677-1703.
Chicago/Turabian StyleKinde A. Fante; Basabi Bhaumik; Shouri Chatterjee. 2015. "Design and Implementation of Computationally Efficient Image Compressor for Wireless Capsule Endoscopy." Circuits, Systems, and Signal Processing 35, no. 5: 1677-1703.
Kinde A. Fante; Basabi Bhaumik; Shouri Chatterjee. A Low-Power Color Mosaic Image Compressor Based on Optimal Combination of 1-D Discrete Wavelet Packet Transform and DPCM for Wireless Capsule Endoscopy. Proceedings of the International Conference on Biomedical Electronics and Devices 2015, 190 -197.
AMA StyleKinde A. Fante, Basabi Bhaumik, Shouri Chatterjee. A Low-Power Color Mosaic Image Compressor Based on Optimal Combination of 1-D Discrete Wavelet Packet Transform and DPCM for Wireless Capsule Endoscopy. Proceedings of the International Conference on Biomedical Electronics and Devices. 2015; ():190-197.
Chicago/Turabian StyleKinde A. Fante; Basabi Bhaumik; Shouri Chatterjee. 2015. "A Low-Power Color Mosaic Image Compressor Based on Optimal Combination of 1-D Discrete Wavelet Packet Transform and DPCM for Wireless Capsule Endoscopy." Proceedings of the International Conference on Biomedical Electronics and Devices , no. : 190-197.