A High performance and low cost hardware arcitecture for H.264 transform and quantization algorithms

In this paper, we present a high performance and low cost hardware architecture for real-time implementation of forward transform and quantization and inverse transform and quantization algorithms used in H.264 / MPEG4 Part 10 video coding standard. The hard-ware architecture is based on a reconfigurable datapath with only one multiplier. This hardware is designed to be used as part of a complete low power H.264 video coding system for portable appli-cations. The proposed architecture is implemented in Verilog HDL. The Verilog RTL code is verified to work at 81 MHz in a Xilinx Virtex II FPGA and it is verified to work at 210 MHz in a 0.18´ ASIC implementation. The FPGA and ASIC implementations can code 27 and 70 VGA frames (640x480) per second respectively

A reconfigurable frame interpolation hardware architecture for high definition video

Since Frame Rate Up-Conversion (FRC) is started to be used in recent consumer electronics products like High Definition TV, real-time and low cost implementation of FRC algorithms has become very important. Therefore, in this paper, we propose a low cost hardware architecture for realtime implementation of frame interpolation algorithms. The proposed hardware architecture is reconfigurable and it allows adaptive selection of frame interpolation algorithms for each Macroblock. The proposed hardware architecture is implemented in VHDL and mapped to a low cost Xilinx XC3SD1800A-4 FPGA device. The implementation results show that the proposed hardware can run at 101 MHz on this FPGA and consumes 32 BRAMs and 15384 slices

Dynamically variable step search motion estimation algorithm and a dynamically reconfigurable hardware for its implementation

Motion Estimation (ME) is the most computationally intensive part of video compression and video enhancement systems. For the recently available High Definition (HD) video formats, the computational complexity of De full search (FS) ME algorithm is prohibitively high, whereas the PSNR obtained by fast search ME algorithms is low. Therefore, ill this paper, we present Dynamically Variable Step Search (DVSS) ME algorithm for Processing high definition video formats and a dynamically reconfigurable hardware efficiently implementing DVSS algorithm. The architecture for efficiently implementing DVSS algorithm. The simulation results showed that DVSS algorithm performs very close to FS algorithm by searching much fewer search locations than FS algorithm and it outperforms successful past search ME algorithms by searching more search locations than these algorithms. The proposed hardware is implemented in VHDL and is capable, of processing high definition video formats in real time. Therefore, it can be used in consumer electronics products for video compression, frame rate up-conversion and de-interlacing(1)

Books Received

WOS: 000324163700028In this study, estimation of narrow sense heritability, genetic correlations and relative effects of direct versus indirect selection were aimed for peduncle length, spike length, number of spikelet per spike and number of kernels per spike as selection was applied for shorter plant height in common wheat population of (Golia x Atilla-12) cross. While the indirect effect of direct selection for plant height was observed negative on number of kernels per spike, positive effect was obtained on peduncle length. It was understood that selection of peduncle length can be done indirectly through the selection for short plant height in the (Golia x Atilla-12), but while it had no effect on other components. Therefore, it was concluded that direct selection for short plant height can be done successfully, and on various selection practices and studies are necessary for the spike length, number of spikelet per spike and number of kernels per spike. (C) 2013 Friends Science Publisher

Bolstering Stochastic Gradient Descent with Model Building

Stochastic gradient descent method and its variants constitute the core optimization algorithms that achieve good convergence rates for solving machine learning problems. These rates are obtained especially when these algorithms are fine-tuned for the application at hand. Although this tuning process can require large computational costs, recent work has shown that these costs can be reduced by line search methods that iteratively adjust the stepsize. We propose an alternative approach to stochastic line search by using a new algorithm based on forward step model building. This model building step incorporates second-order information that allows adjusting not only the stepsize but also the search direction. Noting that deep learning model parameters come in groups (layers of tensors), our method builds its model and calculates a new step for each parameter group. This novel diagonalization approach makes the selected step lengths adaptive. We provide convergence rate analysis, and experimentally show that the proposed algorithm achieves faster convergence and better generalization in well-known test problems. More precisely, SMB requires less tuning, and shows comparable performance to other adaptive methods

Persistent High Postoperative Carcinoembryonic Antigen in Colorectal Cancer Patients- Is it Important?

INTRODUCTION: Evaluation of pre- and postoperative serum CEA levels together has seldom been assessed for the prognosis of colorectal cancer (CRC). OBJECTIVE: To concurrently evaluate pre- and postoperative CEA as factors of relapse and survival. METHODS: The study consisted of 114 patients who had undergone surgery from February 2002 to June 2006 for CRC. All patients were classified into four groups according to their pre- and postoperative CEA levels. Data obtained for clinicopathologic parameters, lymph node metastasis, stage, recurrence, and CEA levels were analyzed to determine their association with survival. Multivariate analysis by the Cox proportional hazard regression model was performed to identify the independent prognostic factors associated with survival. RESULTS: Postoperative serum CEA levels remained high in Group 3 (n = 32). Nineteen patients (59.3%) demonstrated a detectable cause for persistent high CEA levels, while the reasons for those in the other thirteen patients (40.6%) remained obscure. Abnormal preoperative CEA levels significantly correlated with the depth of tumor invasion, lymph node metastasis, TNM stage, and recurrence (p < 0.05). Abnormal postoperative CEA levels were significantly related to the depth of tumor invasion, TNM stage, and postoperative relapse (p<0.05). Patients in Group 3 demonstrated the worst survival rate. Abnormal postoperative CEA levels, lymph node metastasis, and location of the tumor were independent prognostic factors for survival. CONCLUSION: The survival of patients with high postoperative CEA levels due to unknown reasons may be extended if they are exhaustively tested with sensitive diagnostic methods and treated at an early stage

THE IMPACT OF INTANGIBLE FACTORS ON PROFITABILITY: EVIDENCE FROM CORPORATIONS TRADED AT MUSCAT SECURITIES MARKET IN OMAN

The objective of this paper is to determine whether corporate financial performance may be influenced from intangible assets owned by a company and some special incurring expenditures benefiting the intangible value of the company even though such items could also be technically expensed contrary to getting capitalized. Combining the intangibles reported on the corporate balance sheets with the expenditures such as R&amp;D, staff and advertising expenses, a variable called Calculated Value of Intangible Factors (CVIF) is specifically generated and is examined as to whether intangibles alone might potentially have a significant effect on corporate profitability ratios, and if so to what extent. The sample consists of non-financial public companies traded at Muscat Securities Market in Oman and the sampling period covers the time window from 2013 until 2017. Two regressors are used to capture the effect of intangible factors; meaning CVIF and CVIF/Total Assets (CVIFTA) respectively, the latter of which is a relative measure. Four (4) profitability measures, namely Gross Profit Margin (GPM), EBIT Margin (EBITM), Net Profit Margin (NPM) and Return on Assets (ROA) are developed as proxies to indicate for corporate financial performance. Considering all the resulting eight (8) models each, panel data regression analyses are performed separately to specifically document the linkage between corporate intangibles and corporate financial performance. Results provide a strong evidence by showing that intangibles do have a significant and a positive effect on corporate financial performance, except when ROA is regressed by CVIFTA rather than CVIF. This effect on and the linkage with financial performance is documented to be the most robust once GPM and NPM are to indicate the performance in the forms of CVIF and CVIFTA respectively

Serum Copeptin Levels in Adult Patients with a Migraine Attack: A Cross-Sectional Study

Aim:This study investigated the potential role of serum copeptin, a mediator of acute pain via sympathetic stress stimulation, as a biomarker of varying degrees of migraine-related disability. Specifically, we aimed to analyze whether the serum copeptin level can be used to differentiate migraine types (e.g., with and without aura).Methods:The study population included 80 consecutively consenting adult patients who had migraine attacks and attended the emergency department from June 2020 through November 2020, as well as 80 age- and sex-matched healthy controls. Using the Migraine Disability Assessment Scale (MIDAS), the same medical professional assessed each patient’s level of headache-related disability. Based on their MIDAS scores, the patients were separated into four groups: no disability (score 0-5; group MIDAS-I); mild disability (score 6-10; group MIDAS-II); moderate impairment (score 11-20; group MIDAS-III); and severe disability (score >20; group MIDAS-IV). There were also two categories of migraineurs: those with auras and those without auras. Upon admission, comparisons were made between the groups’ serum copeptin values.Results:In comparison to the control group, the patient group’s serum copeptin levels were noticeably higher (2113.30±206.20 vs. 1383.40±488.40; p<0.001). The study of the receiving operator’s characteristics showed that the cut-off copeptin level was 1898.5 pg/mL, with 90% sensitivity and 82.4% specificity for distinguishing patients from controls. There were no noticeable differences in the mean serum copeptin levels between the patient groups when compared by MIDAS score. Additionally, patients with and without aura did not differ notably in terms of mean serum copeptin levels. (2118.70±211.60 vs. 2071.10±160.40).Conclusion:Serum copeptin levels may be used as a diagnostic aid to help anticipate migraine-related headache attacks when combined with clinical signs and symptoms