Intensive Part Research Articles

English

A 53 year old man presented with right sided neck swelling which was tender on palpation along with symptoms such as high grade fever and sweating since 4 days. No significant and relevant personal and family history was present. Patient had a successful operative history for a benign neurogenic tumour in right infratemporal fossa 1.5 months back. Patient was relatively asymptomatic before 10 days. He then gradually developed a swelling at the operative site which sooner became tender and was accompanied with high grade fever 4 days back. Patient also complained of mild restriction of neck movements as well. He then came for detailed examination and then was referred for MRI examination as a part of protocol. Radiological Features Routine MRI examination showed a well-defined circumscribed lesion at operative site in right infra temporal fossa which appeared to be peripherally thick walled hypo intense in T1W images (green arrow Fig. 1) and hyper intense in T2W images (green arrow Fig. 2). On further sequences it was noted that a diffuse hypo intense central part is noted in all sequences which was prominent in GRE (Gradient Recalled Echo) images showing again hyper intense thick wall (pink arrow in Fig 3) and central hypo intensity (blue arrow in Fig. 3) suggesting multiple air foci. Haemorrhage was excluded in view of lack of T1W hyper intensity. On STIR (Short Tau Inversion Recovery) images no significant other information was gained about the lesion (green arrow in Fig. 4). Observing the whole examination at first it looked like an abscess but due to lack of diffusion restriction and surrounding soft tissue swelling, this differential is ruled out

High‐resolution peak analysis in TOF SIMS data

High mass resolution time‐of‐flight secondary ion mass spectrometry (TOF SIMS) can provide a wealth of chemical information about a sample, but the analysis of such data is complicated by detector dead‐time effects that lead to systematic shifts in peak shapes, positions, and intensities. We introduce a new maximum‐likelihood analysis that incorporates the detector behavior in the likelihood function, such that a parametric spectrum model can be fit directly to as‐measured data. In numerical testing, this approach is shown to be the most precise and lowest‐bias option when compared with both weighted and unweighted least‐squares fitting of data corrected for dead‐time effects. Unweighted least‐squares analysis is the next best, while weighted least‐squares suffers from significant bias when the number of pulses used is small. We also provide best‐case estimates of the achievable precision in fitting TOF SIMS peak positions and intensities and investigate the biases introduced by ignoring background intensity and by fitting to just the intense part of a peak. We apply the maximum‐likelihood method to fit two experimental data sets: a positive‐ion spectrum from a multilayer MoS2 sample and a positive‐ion spectrum from a TiZrNi bulk metallic glass sample. The precision of extracted isotope masses and relative abundances obtained is close to the best‐case predictions from the numerical simulations despite the use of inexact peak shape functions and other approximations. Implications for instrument calibration, incorporation of prior information about the sample, and extension of this approach to the analysis of imaging data are also discussed.

Effect of Nurse-Led Consultations on Post-Traumatic Stress and Sense of Coherence in Discharged ICU Patients With Clinically Relevant Post-Traumatic Stress Symptoms—A Randomized Controlled Trial

To investigate the effect of nurse-led consultations on reducing post-traumatic stress symptoms and increasing sense of coherence in discharged ICU patients with clinically relevant post-traumatic stress symptoms and to identify variables associated with symptoms 12 months later. A pragmatic nonblinded randomized controlled trial. Five surgical and medical ICUs at Oslo University Hospital. Adult patients treated in the ICU greater than or equal to 24 hours were screened with Post-Traumatic Stress Scale 10 intensive part B after ICU discharge. Those scoring greater than or equal to 25 were included in the study. Patients randomized to intervention group were offered three nurse-led consultations within 2 months, and patients in the control group received standard care. Sense of Coherence Scale 13 and Post-Traumatic Stress Scale 10 intensive part B were completed after inclusion, and reevaluated after 3, 6, and 12 months. Linear mixed model for repeated measures and linear regression analyses were performed. Among 523 screened patients, 111 and 113 were randomized to intervention group and control group, respectively. Mean Post-Traumatic Stress Scale 10 intensive part B score was 37 (±10) before randomization. No differences in post-traumatic stress symptoms or sense of coherence were found between intervention group versus control group, with a mean Post-Traumatic Stress Scale 10 intensive part B score 39 (95% CI, 37-41) versus 37 (95% CI, 35-39), 32 (95% CI, 28-35) versus 32 (95% CI, 29-35), 31 (95% CI, 28-34) versus 30 (95% CI, 27-33), and 31 (95% CI, 28-34) versus 29 (95% CI, 26-33) at baseline, 3, 6, and 12 months, respectively. There was a significantly reduced Post-Traumatic Stress Scale 10 intensive part B score for both groups during the year (p = 0.001). Low sense of coherence, pain, and previous psychiatric problems were associated with increased level of post-traumatic stress symptoms at 12 months. Nurse-led consultations did not reveal any significant effect on post-traumatic stress symptoms or sense of coherence after ICU discharge in patients with clinically relevant symptoms.

Validating Accelerometers for the Assessment of Body Position and Sedentary Behavior

There is growing evidence that sedentary behavior is a risk factor for somatic and mental health. However, there is still a lack of objective field methods, which can assess both components of sedentary behavior: the postural (sitting/lying) and the movement intensity part. The purpose of the study was to compare the validity of different accelerometers (ActivPAL [thigh], ActiGraph [hip], move [hip], and move [thigh]). 20 adults (10 females; age 25.68 ± 4.55 years) participated in a structured protocol with a series of full- and semistandardized sessions under laboratory conditions. Direct observation via video recording was used as a criterion measure of body positions (sitting/lying vs. nonsitting/lying). By combining direct observation with metabolic equivalent tables, protocol activities were also categorized as sedentary or nonsedentary. Cohen’s kappa was calculated as an overall validity measure to compare accelerometer and video recordings. Across all conditions, for the measurement of sitting/lying body positions, the ActivPAL ([thigh], ĸ = .85) and Move 4 ([thigh], ĸ = .97) showed almost perfect agreement, whereas the Move 4 ([hip], ĸ = .78) and ActiGraph ([hip], ĸ = .67) showed substantial agreement. For the sedentary behavior part, across all conditions, the ActivPAL ([thigh], ĸ = .90), Move 4 ([thigh], ĸ = .95) and Move 4 ([hip], ĸ = .84) revealed almost perfect agreement, whereas the ActiGraph ([hip], ĸ = .69) showed substantial agreement. In particular, thigh-worn devices, namely the Move and the ActivPAL, achieved up to excellent validity in measuring sitting/lying body positions and sedentary behavior and are recommended for future studies.

Efficient and scalable quantum walk algorithms via the quantum Fourier transform

Quantum walks (QWs) are of interest as examples of uniquely quantum behavior and are applicable in a variety of quantum search and simulation models. Implementing QWs on quantum devices is useful from both points of view. We describe a prototype one-dimensional discrete time QW algorithm that economizes resources required in its implementation. Our algorithm needs only a single shift (increment) operation. It also allows complete flexibility in choosing the shift circuit, a resource intensive part of QW implementations. We implement the shift using the quantum Fourier transform (QFT), yielding, to date, the most efficient and scalable, quadratic size, linear depth circuit for the basic QW. This is desirable for Noisy Intermediate-Scale Quantum (NISQ) devices, in which fewer computations implies faster execution and reduced effects of noise and decoherence. As the QFT diagonalizes unitary circulant matrices, we generalize the shift in the basic QW to introduce spatial convolutions in the QW. We demonstrate our basic QW algorithm using the QFT based shift by running it on publicly accessible IBM quantum computers.

New sonochemiluminescence involving solvated electron in Ce(III)/Ce(IV) solutions

The moving single-bubble sonoluminescence of Ce3+ in water and ethylene glycol solutions of CeCl3 and (NH4)2Ce(NO3)6 was studied. As found, a significant part of intensity of the luminescence (100% with cerium concentration less than 10–4 M) is due to the sonochemiluminescence. A key reaction of sonochemiluminescence is the Ce4+ reduction by a solvated (or hydrated in water) electron: Ce4+ + es (eaq) → *Ce3+. Solvated electrons are formed in a solution via electrons ejection from a low-temperature plasma periodically generated in deformable moving bubble at acoustic vibrations. Reactions of heterolytic dissociation of solvents make up the source of electrons in the plasma. In aqueous CeCl3 solutions, the Ce4+ ion is formed at the oxidation of Ce3+ by OH radical. The latter species originates from homolytic dissociation of water in the plasma of the bubble, also penetrating from the moving bubble into the solution. The sonochemiluminescence in cerium trichloride solutions are quenched by the Br− (acceptor of OH) and H+ ions (acceptor of eaq). In water and ethylene glycol solutions of (NH4)2Ce(NO3)6, the sonochemiluminescence also quenched by the H+ ion. The sonochemiluminescence in CeCl3 solutions is registered at [Ce3+] ≥ 10–5 M. Then the sonochemiluminescence intensity increases with the cerium ion concentration and reaches the saturation plateau at 10–2 M. It was shown that sonophotoluminescence (re-emission of light of bubble plasma emitters by cerium ions) also contributes to the luminescence of Ce3+ in solutions with [Ce3+] ≥ 10–4 M. If the cerium concentration is more than 10–2 M, a third source contributes to luminescence, viz., the collisional excitation of Ce3+ ions penetrating into the moving bubble.

Sequential Combustion in Steam Methane Reformers for Hydrogen and Power Production With CCUS in Decarbonized Industrial Clusters

In future energy supply systems, hydrogen and electricity may be generated in decarbonized industrial clusters using a common infrastructure for natural gas supply, electricity grid and transport and geological storage of CO2. The novel contribution of this article consists of using sequential combustion in a steam methane reforming (SMR) hydrogen plant to allow for capital and operating cost reduction by using a single post-combustion carbon capture system for both the hydrogen process and the combined cycle gas turbine (CCGT) power plant, plus appropriate integration for this new equipment combination. The concept would be widely applied to any post-combustion CO2 capture process. A newly developed, rigorous, gPROMs model of two hydrogen production technologies, covering a wide range of hydrogen production capacities, thermodynamically integrated with commercially available gas turbine engines quantifies the step change in thermal efficiency and hydrogen production efficiency. It includes a generic post-combustion capture technology – a conventional 30%wt MEA process - to quantify the reduction in size of CO2 absorber columns, the most capital intensive part of solvent-based capture systems. For a conventional SMR located downstream of an H-class gas turbine engine, followed by a three-pressure level HRSG and a capture plant with two absorbers, the integrated system produces ca. 696,400 Nm3/h of H2 with a net power output of 651 MWe at a net thermal efficiency of 38.9%LHV. This corresponds to 34 MWe of additional power, increasing efficiency by 4.9% points, and makes one absorber redundant compared to the equivalent non-integrated system producing the same volume of H2. For a dedicated gas heated reformer (GHR) located downstream of an aeroderivative gas turbine engine, followed by a two-pressure level HRSG and a capture plant with one absorber, the integrated system produces ca. 80,750 Nm3/h of H2 with a net power output of 73 MWe and a net thermal efficiency of 54.7%LHV. This corresponds to 13 MWe of additional power output, increasing efficiency by 13.5% points and also makes one absorber redundant. The article also presents new insights for the design and operation of reformers integrated with gas turbines and with CO2 capture.

Influence of dielectric thickness and electrode structure on the ion wind generation by micro fabricated plasma actuators

Surface dielectric barrier discharges are investigated in order to explore the combined effects of barrier thickness and microstructure of the exposed electrode on the ion wind generation. Actuators with straight and structured high voltage electrodes with characteristic sizes of 200 and 250 µm and dielectric thicknesses of 0.5, 1 and 2 mm are compared. It is observed that: i) actuator efficiency of ion wind generation strongly depends on the applied voltage amplitude; ii) operation voltage depends on the dielectric thickness logarithmically; iii) electrode microstructure slightly increases the dynamic pressure (few percent in maximum), however the effect decreases with thicker dielectrics and smaller electrode structures; iv) the pattern of the most intensive discharge parts as well as the dielectric erosion repeats the regular structure of the electrodes down to 200 µm. Several identical samples are tested during different days to estimate the impact of the air humidity and the degradation of the dielectric. The microscale precision of the sample manufacture was accomplished by a commercial facility for printed circuit boards.

Abscess of the clivus in an adolescent with complicated acute rhinosinusitis: a case report

BackgroundComplications of acute sinusitis affecting multiple sites are very uncommon, and generally develop for a delayed diagnosis of the primary infection, with possible severe and life-threatening evolution. Patients can have variable presentations according to the site and extent of the infection. Multiple forms generally include the coexistence of orbital manifestations and intracranial infections. We here present a case with unusual multiple sites locations (i.e.: intraorbital intraconic abscess, sigmoid sinus thrombosis, preclival abscess, multiple splanchnocranium osteomyelitic processes).Case presentationA 13-year-old male presented at our hospital with right progressive orbital oedema with eyesight worsening and signs of meningitis. Computed tomography and magnetic resonance (MRI) demonstrated right intraorbital intraconic abscess, left sphenoidal sinusitis, transverse and sigmoid sinus thrombosis. Ophthalmologic evaluation documented a right optic nerve sufferance. Endoscopic and superior right trans-palpebral surgical decompression was performed, and the abscess was drained. Microbiological analysis revealed the presence of multi-sensitive Streptococcus Intermedius. Subsequent prolonged antibiotic and anti-thrombotic treatments were started. In the following two-weeks the sinusal and ophthalmologic clinical conditions improved, whereas the patients complained of mild to moderate cervical pain and suffered from intermittent pyrexia. Control MRI documented clival abscess extending up to preclival soft tissues posterior to the nasopharynx, associated with mandible osteomyelitis, occipital condyles and anterior part of the temporal bone hyper intensity. Endoscopic trans-nasal surgical approach to the clival compartment with neurosurgery navigation-guided achieved preclival abscess drainage. Complete clinical and radiological recovery was achieved after 45 days of medical treatment.ConclusionsMultiple sites complicated rhinosinusitis is uncommon, and its management is challenging. A proper history and thorough clinical examination along with a radiological evaluation are key factors in the final diagnosis of patients with complicated multiple sites acute rhinosinusitis. A quick multidisciplinary approach is always necessary to avoid unwanted life-threatening complications.

Algorithm optimisation and hardware implementation of interprediction mode decision

High efficiency video coding is the most widely used video coding standard. It has higher coding performance compared with its predecessor, H.264, but it also has higher computational complexity. Interprediction is the most computationally intensive part of the entire video encoding process. Selecting the optimal interprediction mode by the rate–distortion cost calculation function requires substantial complex calculation and memory access, thus greatly increasing the difficulty of real-time hardware encoding. This study proposes to replace the traditional complex error square sum calculation with an estimation method for distortion and rate. The estimation of distortion uses the Hadamard-transformed sum of absolute transformation difference instead of the complex calculation of the sum of squared difference, whereas the estimation of rate is obtained by weighting the number of prediction units (PUs). The experiment proves that the proposed interprediction rate–distortion cost calculation model can greatly reduce computational complexity when BD-rate is increased by 3.02%. In hardware implementation, the value of rate can be obtained by indexing the number of PUs, and the resource expenditure is small.

Enhanced photon emission from a double-layer\xa0target at moderate laser intensities

In this paper we study photon emission in the interaction of the laser beam with an under-dense target and the attached reflecting plasma mirror. Photons are emitted due to the inverse Compton scattering when accelerated electrons interact with a reflected part of the laser pulse. The enhancement of photon generation in this configuration lies in using the laser pulse with a steep rising edge. Such a laser pulse can be obtained by the preceding interaction of the incoming laser pulse with a thin solid-density foil. Using numerical simulations we study how such a laser pulse affects photon emission. As a result of employing a laser pulse with a steep rising edge, accelerated electrons can interact directly with the most intense part of the laser pulse that enhances photon emission. This approach increases the number of created photons and improves photon beam divergence.

Raw material use in a battery electric car – a thermodynamic rarity assessment

The transition to full electromobility must be carefully evaluated, as large amounts of strategic metals will be required, for which there is presently little to no recovery or recycling (e.g. gold, silver, tantalum or cobalt). In this study, we perform a comprehensive metal assessment of two passenger cars (conventional and battery electric models) in terms of mass and thermodynamic rarity. Thermodynamic rarity is based on the property of exergy and is defined as “the amount of exergy resources needed to obtain a mineral commodity from average crustal concentration using the best available technology” (measured in kJ). Thus, the thermodynamic rarity approach assigns a greater exergetic value to scarce (understood as having a relative low average crustal concentration) and difficult-to-extract minerals. Of the 60 metals analyzed, almost 50 metals have been identified within the studied cars, representing 800 (conventional) and 1,200 kg (battery electric), showcasing the fact that a car constitutes a “road mine”. Furthermore, given that the technology behind battery electric cars is in development, three generations of Li-ion batteries were analyzed to study the effect on resource use of a metal changing composition over time. Albeit the battery modules of the three generations present a similar mass content (approximately 70 kgs), the thermodynamic rarity decreases from 275 to 100 Gigajoules, due to the reduced proportion of cobalt, which is by far the most exergetic metal within the battery. Additionally, with the thermodynamic rarity approach, the most exergy intensive parts within a battery electric car have been identified – the high-voltage battery modules, the electric drive, the power module, the charger, the electrical air conditioning compressor and the electromechanical brake servo – providing an indicator facilitating proactive mid- to long-term ecodesign measures and recycling strategies.

PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability.

BackgroundPET-based tumor delineation is an error prone and labor intensive part of image analysis. Especially for patients with advanced disease showing bulky tumor FDG load, segmentations are challenging. Reducing the amount of user-interaction in the segmentation might help to facilitate segmentation tasks especially when labeling bulky and complex tumors. Therefore, this study reports on segmentation workflows/strategies that may reduce the inter-observer variability for large tumors with complex shapes with different levels of user-interaction.MethodsTwenty PET images of bulky tumors were delineated independently by six observers using four strategies: (I) manual, (II) interactive threshold-based, (III) interactive threshold-based segmentation with the additional presentation of the PET-gradient image and (IV) the selection of the most reasonable result out of four established semi-automatic segmentation algorithms (Select-the-best approach). The segmentations were compared using Jaccard coefficients (JC) and percentage volume differences. To obtain a reference standard, a majority vote (MV) segmentation was calculated including all segmentations of experienced observers. Performed and MV segmentations were compared regarding positive predictive value (PPV), sensitivity (SE), and percentage volume differences.ResultsThe results show that with decreasing user-interaction the inter-observer variability decreases. JC values and percentage volume differences of Select-the-best and a workflow including gradient information were significantly better than the measurements of the other segmentation strategies (p-value<0.01). Interactive threshold-based and manual segmentations also result in significant lower and more variable PPV/SE values when compared with the MV segmentation.ConclusionsFDG PET segmentations of bulky tumors using strategies with lower user-interaction showed less inter-observer variability. None of the methods led to good results in all cases, but use of either the gradient or the Select-the-best workflow did outperform the other strategies tested and may be a good candidate for fast and reliable labeling of bulky and heterogeneous tumors.

Computationally efficient viscoelastic flow simulation using a Lagrangian-Eulerian method and GPU-acceleration

A recently proposed Lagrangian-Eulerian method for viscoelastic flow simulation is extended to high performance calculations on the Graphics Processing Unit (GPU). The two most computationally intensive parts of the algorithm are implemented for GPU calculation, namely the integration of the viscoelastic constitutive equation at the Lagrangian nodes and the interpolation of the resulting stresses to the cell centers of the Eulerian grid.In the original CPU method, the constitutive equations are integrated with a second order backward differentiation formula, while with the proposed GPU method the implicit Euler method is used. To allow fair comparison, the latter is also implemented for the CPU. The methods are validated for two flows, a planar Poiseuille flow of an upper-convected Maxwell fluid and flow past a confined cylinder of a four-mode Phan Thien Tanner fluid, with identical results.The calculation times for the methods are compared for a range of grid resolutions and numbers of CPU threads, revealing a significant reduction of the calculation time for the proposed GPU method. As an example, the total simulation time is roughly halved compared to the original CPU method. The integration of the constitutive equation itself is reduced by a factor 50 to 250 and the unstructured stress interpolation by a factor 15 to 60, depending on the number of CPU threads used.

Performance Analysis of Clustering Based Image Segmentation Techniques

As the images are examined using the latest machine learning process, the techniques for computing the images become highly essential. This computation applied over the images allows one to have an assessable information’s or values from the images. Since segmentation plays a vital role in processing of images by enhancing or hypothetically altering the images making the examination of valuable insights easier. Several procedures and the methods for segmenting the images have been developed. However to have an better process it is important to sort out an effective segmentation procedure, so the paper performs the analysis of the clustering based image segmentation techniques applied on the magnetic resonance image of the human brain to detect the white matter hyper intensities part. The evaluation process take place in the MATLAB to evince the accurate valuation procedure. The optimal procedure is sorted out to be used in observing and examining the medical images by implementing over a computer assisted tool.

Automated Systems Save Time on NDT Analysis

While becoming increasingly necessary, digital radiography and computed tomography need not be a time intensive and expensive part of non-destructive testing

Focus properties of cosh-Gaussian beams with the power-exponent-phase vortex.

Vector diffraction theory is used to investigate the focusing properties of cosh-Gaussian beams with the power-exponent-phase vortex. The effects of the decentered parameter, the power order, and the topological charge on the normalized intensity distribution are examined. Results show that intensity distribution in the focal region can be altered significantly by the topological charge, the power order, and the decentered parameter. The pattern of the optical intensity slowly enlarges with the increase of topological charge. The strongest intensity part of the annulus rotates by the changing topological charge. As the power order increases, the intensity distribution is more concentrated. As the decentered parameter increases, there occur multiple relatively strong intensity peaks, and the entire focus pattern extends outward. Some optical gradient force distributions are investigated to illuminate the applications of these alterable foci patterns.

Unleashing the hidden powers of low-cost IoT boards: GPU-based edutainment case study

The Ubiquitous interconnected smart devices enabled by the recent evolution of low-cost, generic, small-size, powerful computing platforms devised the term Internet of Things (IoT), which cross-cuts many areas of our modern day living. IoT applications go way beyond simple sensing and actuation to sophisticated localized processing and decision-making. The recent advances in embedded systems produced a long list of IoT boards equipped with powerful central processing units (CPUs), and graphics processing units (GPUs). Unfortunately, even with the limited energy consumption and high processing power of such GPUs, CPUs are usually the only computational element utilized by the hosted applications, thus hindering the capabilities of the entire board. This is mainly due to the complicated nature of GPU-based programming. In this paper, we are presenting a case study showing the effect of offloading the computationally intensive part of a latency-sensitive educational game to a low-cost Raspberry Pi’s GPU, thus enabling the board to seamlessly host the entire game operations. Relying mainly on the boards CPU shows very long interaction latency i.e., 4.82 s. By efficiently leveraging the powerful coprocessor, VideoCore GPU, we are able to significantly improve the interaction latency to a fraction of a second, making the game conveniently playable.

Robust composite sine-trapezoidal phase-shifting algorithm for nonlinear intensity

Phase-shifting profilometry (PSP) is an efficient three-dimensional (3D) measurement technique. The accuracy of the PSP based 3D measurement system is generally affected by the nonlinear intensity response of the projector. In general, nonlinear errors can be reduced by projecting more fringe patterns, but this approach significantly increases the measuring time. To improve the measurement accuracy and speed, a new composite sine-trapezoidal phase-shifting profilometry technique that suppresses nonlinear error is proposed in this study. The main idea of the proposed method is projecting a set of sinusoidal fringe patterns and two sets of composite sine-trapezoidal fringe patterns with different intensity ranges in sequence. Among these patterns, the sinusoidal fringe is used to encode the pixel position, and the order of the wrapping phase is determined by the region code of the composite fringe. The flat intensity parts of the composite fringe are used to encode the nonlinear intensity response of the measurement system. Through system identification, the response parameters of the pixels can be obtained, and the gray value of the pixels can be corrected to gain a better phase distribution. Compared to the straight edges of the trapezoidal fringe, the sinusoidal edges of the composite fringe are more robust to the projector defocus, which improves the accuracy of the identification of the system intensity response model. Simulation results show that the proposed method can achieve a higher phase retrieval accuracy than the trapezoidal PSP and the sine PSP. The experiment results indicate that the proposed method has a better measurement accuracy than those of the standard 3-step and 4-step sine PSP methods.

Hardware - software co-design framework for sum of absolute difference based block matching in motion estimation

Motion estimation is the computationally intensive part of video encoding. This paper presents a processing element based architecture for accelerating the calculation of Sum of Absolute Differences (SAD) which is the most widely used block matching criteria in motion estimation. A clock gating method is anlysed to enable or disable the required processing elements for a particular time of use. The selection of processing elements is performed based on motion analysis of the input video. The level of motion is estimated from initial frames to configure the hardware for SAD evaluation. A System-on-Chip approach, implemented in Xilinx Zynq SoC is proposed that will be efficient in terms of power and resource utilization as the hardware is configured based on the property of input video. This hardware-software co-design is able to achieve approximately 4.6x speed up compared to the the original software implementation of the framework running on ARM processor.