Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Field Programmable Gate Array Implementation of Advanced Encryption Standard Algorithm using VHDL

-For the security of data, various solutions algorithms were proposed. The AES also known as the Rijndael algorithm was selected as a Standard by National Institute of Standards and Technology (NIST). Encryption algorithms are used to ensure security of transmission channels. This paper presents an efficient FPGA implementation approach of the Advanced Encryption Standard (AES) Algorithm. In this paper two different architectures of AES named Basic AES and Fully Pipelined AES have been designed in VHDL. The codes have been synthesized using Xilinx ISE 9.2i software for a Virtex 3 FPGA device. The comparison is being done between the Basic AES and Fully Pipelined AES algorithm on the basis of power consumption, Maximum pin Delay, Clock delay, Slice Flip flops.
A Review on Clustering in Heterogeneous Wireless Sensor Networks Model

– Heterogeneous Wireless Sensor Network (WSN) comprises of sensor nodes with distinctive capability, for example, diverse computing power and sensing range. Contrasted with homogeneous WSN, arrangement and topology control are more perplexing in heterogeneous WSN. Distinctive energy efficient clustering protocols for wireless sensor networks systems and thinks about these protocols on a few focuses, in the same way as clustering method, location awareness, heterogeneity level and clustering attributes. Though, each protocol is not appropriate for heterogeneous WSNs. In this paper, we review about process of clustering in heterogeneous wireless sensor networks model.
FORMULATION AND STATISTICAL OPTIMIZATION OF BILAYER SUBLINGUAL TABLETS OF LEVOCETIRIZINE HYDROCHLORIDE AND AMBROXOL HYDROCHLORIDE

Objective: The aim of the present study is to formulate and optimize bilayer sublingual tablets of Levocetrizine hydrochloride and Ambroxol hydrochloride using a 23 response surface methodology employing design expert-10.0. Sodium starch glycolate and Camphor were selected as independent variables while disintegration time (sec) and water absorption ratio (%) were considered as responses. Methods: The bilayer sublingual tablets were prepared by direct compression and evaluated for various evaluation parameters including hardness, thickness, friability, drug content uniformity, wetting time, water absorption ratio and disintegration time. The prepared optimized bilayer sublingual tablets of Levocetrizine hydrochloride and Ambroxol hydrochloride having above 2 responses-disintegration time (sec) and water absorption ratio. Results: The optimized batch having concentration of sodium starch glycolate and camphor was found within the standard limit of parametersdisintegration time (sec) and water absorption ratio (%) as 61 sec and 69.67%. Conclusion: The direct compression method in this study is relatively simple and safe and a stable, effective and pleasant tasting bilayer sublingual tablet, which has a good balance over disintegration time and water absorption ratio, was formulated. Keywords: Levocetirizine hydrochloride, Ambroxol hydrochloride, Croscarmellose sodium, Sodium starch glycolate, Camphor, Statistical optimization.
A Hierarchical Multi-Label Classification Approach for Fault Diagnosis in Industrial Units

Current industrial processes are turning out to be more and more complex. These processes are controlled in closed loops, include enormous number of constituents and utilize a large amount of variables. Fault diagnosis plays a key role to attain a high level of safety, quality and reliability in the control systems for these plants. Process fault diagnosis being the goal of the present work is linked to the process monitoring as a more comprehensive task. The aim of process monitoring is to safeguard the realization of the scheduled procedures by identifying abnormal process behaviors.
Survey and Analysis on Language Translator Using Neural Machine Translation

---------------------------------------------------------------------***-------------------------------------------------------------------- ABSTRACT : Neural machine translation or NMT is a new proposed defined approach to the machine translation. Unlike the traditional SMT i.e. statistical machine translation, NMT focuses on constructing a single neural network that can be jointly aligned to maximize the performance, translation and efficiency. The models that are proposed for NMT belongs to a group of encoders and decoders and encode a source text or sentence into a vector of fixed length from which a decoder generates an appropriate translation. This paper discussed different approaches for language translation. The HMM based encoder decoder models are used in the survey. The comparison in NMT and SMT is also analysed in this survey paper
Hazy Color Image Enhancement Using Improved Contrast & Color Analysis

: Image Enhancement is used to improve the contrast of the image having lowest level luminance. Image enhancement process removes the distortion from the image and improves the quality of the image. In DCP method assess the thickness of the dimness form single input image and restore a great fog free picture. Estimate the automatic atmospheric light. Histogram Equalization (HE) is the enhancement process. Histogram equalization is used to strengthen the contrast of the color image. For improving the contrast of the color image Morphological image processing is a group of non-linear operations related to the shape or morphology of main features in an image, such as boundaries, skeletons, etc. Restored image has better contrast and hazy free scene objects under various weather conditions.
Analysis, Detection and Classification of ECG Signal for Myocardial Infarction using Simple Cross-correlation Function

Analysis of standard clinical electrocardiogram signal is one of the basic routine tests for preliminary screening of cardiac disorders. This work deals with classification of normal and IMI (Inferior Myocardial Infarction) ECGs and presents a method for analysis of Electrocardiogram (ECG) patterns using Cross Correlation. The application of cross correlation to two ECG beats and the cross examination of the results reveals the localized similarities of the signals. In this paper two novel parameters are used for the analysis and classification of ECG signals; they are the maximum and average value of the cross correlated spectrum. Also, in this work, two methods are developed for the classification of MI: Method 1 directly uses the extracted single beat of ECG signal for further processing whereas Method 2 uses the average value of corresponding coefficients in the first 5 beats of the ECG signal as the single beat sample for further processing. The recognition score obtained for first method is 80% and that for second method is 91% . Keywords— Electrocardiogram, QRS complex, Cross correlation, Myocardial infarction
Simulation and Error Analysis of Rijndael Algorithm

--As data security being one of the vital point in present day industry progressions over security, Rijndael or AES algorithm is the champion amongst the most prominent systems for data encryption. In this paper, we create software reference model for AES algorithm and analyze its execution as far as encryption and decryption ability utilizing different sets of data vectors. The information vectors of 128 bits with more than 40 frames of 128 bits are utilized as experiments to assess the exhibitions. Info data is encrypted utilizing 10 separate sets of keys and decrypted utilizing the same set of keys. Error is introduced in the encrypted data and the decryption is analyzed for its competence. Picture size of 1024x1024 is considered for encryption and decryption. The results acquired show the exhibitions of AES algorithm.
BLOCKING ARTIFACTS SUPPRESSION IN BLOCK-CODED GREY SCALE IMAGES USING AN ADAPTIVE FILTERING

: Images coded at higher compression ratios mostly suffer from significant compression artifacts that degrade the visual quality of the images. These images degradation occur by the coarse quantization procedure of 8×8 discrete cosine transform (DCT) coefficients. In this paper, an adaptive postprocessing technique has been proposed to suppress the blocking artifacts that are generally occur in JPEG decoded images especially at low bit rates. Comprehensive experimental results illustrate that the proposed technique is more effective and stable for alleviating blocking artifacts with respect to existing techniques. Compared with other techniques, the proposed technique achieves better detail preservation and blocking effects removal performance with lower computational complexity.
Detection and normalisation of Temporal Expressions in Hindi language

- Temporal expressions are those expressions which convey some kind of temporal information ,i.e. related to time. These expressions can indicate a point in time such as “tomorrow 12 p.m. ” or a period of time, e.g. “for first 7 months”. The task of recognizing temporal expressions from a chunk of text detects the temporal expressions and interprets them. Hence, it essentially consists of two sub tasks of detecting the temporal expressions and normalizing(interpreting) the temporal expressions. Interpretation of the temporal expressions is done in order to make them understandable to the computer algorithms. For Hindi language, the task of recognition has been achieved to some level but the task of interpretation of the detected temporal expression is still in progress. This paper attempts to achieve both detection and normalization of temporal expression in texts written in Hindi language with approximately 78% accuracy
Rabbit Antithymocyte Globulin Versus Alemtuzumab in Allogeneic Stem Cell Transplantation：A Meta-Analysis

Rabbit antithymocyte globulin (ATG) and alemtuzumab have been used for graft-versus-host disease(GVHD) prophylaxis in allogeneic haematopoietic stem cell transplantation(allo-HSCT), but which is more efficient remain unclear.we perform a meta-analysis of all studies comparing rabbit ATG and alemtuzumab for GVHD prophylaxis in allogeneic haematopoietic stem cell transplantation#65288HSCT#65289 to evaluate their benefits and drawbacks. There are 7 studies (one prospective and six retrospective)for comparing nbspnbsprabbit ATG vs alemtuzumab in GVHD prophylaxis with 622 patients. Our results showed that the incidence of grade II-IV acute GVHD (aGVHD) (RR 1.51, 95% CI 0.97ndash2.34, P = 0.07), incidence of grade III-IV acute GVHD (RR 1.48, 95% CI 0.63ndash3.47, P = 0.37) had a statistically non-significant reduction in alemtuzumab group, however, alemtuzumab significantly impaired OS (HR 0.61 (95% CI 0.41ndash0.90, P = 0.01) compared with ATG. The incidence of overall chronic GVHD(RR 0.97, 95% CI 0.67ndash1.40, P = 0.87) and the incidence of relapse(RR 1.03, 95% CI 0.72ndash1.47, P = 0.88) were similar in the two groups. We propose that using alemtuzumab for GVHD prophylaxis is effective for allogeneic stem cell transplantation due to the efficacy in grade III/IV acute GVHD, but OS is impaired compared with ATG group.nbsp
Effect of pollution and cleaning on photovoltaic performance based on experimental study

A practical investigation carried out at outdoor conditions in Baghdad-Iraq winter months to evaluate the effect of traffic air pollution resulted from highways on the PV cells performance. I-V characteristics, cells’ power, and efficiency assessed for three cells. The results indicate that the air pollution may deteriorate the PV cell performance, even with a short period of two months of the cells’ outdoor exposure without cleaning. Also, the polluted PV cells’ power reduced to about 12% while the naturally cleaned cell lost about 8% compared to the clean cell. The assaying of collected pollutants revealed high rates of hydrocarbon particulate matters resulted from traffic exhausts. PV cells’ cleaning methods results indicated that using sodium surfactant as well as alcohol preserves its performance with high rates. In the same time using portable or de-ionized distilled water reduced PV cell’s performance by about 14% after six weeks exposure period. The study results show that a high satisfactory possibility for using PV modules in Iraq instead of diesel or gasoline generators.
Bioequivalence & Bioavailability

Pantoprazole, (R,S)-6-(difluoromethoxy)-2-[(3,4-dimethoxypyridin-2yl)methylsulfinyl]-1H-benzo[d]imidazole, is a proton pump inhibitor [11,5] indicated for the treatment of acid-related gastrointestinal diseases such as reflux esophagitis, duodenal and gastric ulcers [8,2]. Its absolute bioavailability is 77% and it is not affected by multiple dosing. Pantoprazole shows lineal pharmacokinetics after both i.v. and oral administration. It is extensively metabolized in the liver, has a total serum clearance of 0.1 l/h/kg, an elimination half life of approximately 1.1 hour, and an apparent volume of distribution of 0.15 l/kg. Almost 80% of an oral or intravenous dose is excreted as metabolites in urine; the remainder is found in feces and originates from biliary secretion. The bioavailability of pantoprazole is not affected by the concomitant intake of food [7].
Differentiation of Marek’s Disease Virus Isolates from India by Sequence Analysis of Meq Gene

The main aim of the present study was to investigate sequence diversity and mutations in the Meq gene of Marek’s disease viruses (MDV) isolated in India. To understand the molecular characteristics of MDV Meq gene, the sequence generated from Directorate of Poultry Research (DPR) farm and commercial poultry farms isolates were compared with published sequences of Indian isolates. Sequence analysis showed that all of the isolates contained an open reading frame (ORF) of 1020 nucleotides, which encoded a 339 amino acid peptides. In the present phylogenetic study, Meq gene sequence generated from MDV strains of DPR isolate was found to share a clade with previously published DPR strains depicting homogenecity in MDV strain prevalent in DPR farm of Hyderabad. The Meq gene sequence of MDV strains amplified from commercial poultry farm found to be evolutionary closer with Ludhiana isolates. Amino acid sequence decoded from Meq gene sequence revealed that four consecutive proline repeats are three in number in DPR isolates while it ranges from 4-5 quadruple proline repeats in commercial farms samples. The published MDV strains from India has 4-5 consecutive four proline repeats in strains from the commercial farms. In the present study, a single point mutation was recorded in Meq gene sequence of DPR isolate where proline was replaced by serine at 233 positions. This mutation is recorded for the first time in Meq gene sequence of Indian isolates. The present study shows that the MDV strains from DPR farm were more virulence than other Indian isolates.
Effects of lycium and lycium induced by local cooling in mice

1Department of Presymptomatic Medical Pharmacology, Faculty of Pharmaceutical Sciences, Sojo University, 4-22-1 Ikeda, Nishiku, Kumamoto 860-0082, Japan. A b s t r a c t Background: Recently people appealing for peripheral coldness increase. Lycium long tradition of use in nutrition and traditional medicine in East Asia, while its effect on peripheral coldness is not yet investigated. We study the effects of lycium and lycium formula (Ligustrum mice. or °C with a thermocamera and a thermocouple thermometer, respectively. And two laser Doppler flow probes were set to measure the skin blood flow of plantar and tail, respecti Results: showed good recovery of whole body surface temperature measured by a thermocamera. 2rectal temperature recovery rates of significantly higher than those of the respective control. Fu skin blood flow by 10% LLA control. The 50 min by 1% LLA Conclusion: increase of peripheral blood blow, and thus a recovery of skin surface temperature. Keywords
Concurrent Access to Encrypted Cloud Databases

: Cloud storage provides users to easily store their data and enjoy the good quality cloud applications need not install in local hardware and software system. So benefits are clear, such a service is also gives users’ physical control of their outsourced data, which provides control over security problems towards the correctness of the storage data in the cloud. In order to do this new problem and further achieve secure and dependable cloud storage services. Setting discriminating information in the hands of a cloud supplier ought to accompany the insurance of security and accessibility for information at rest, in movement, and being used. A few choices exist for capacity administrations, while information privacy answers for the database as a administration ideal model are still youthful. We propose a novel structural engineering that coordinates cloud database administrations with information secrecy furthermore the likelihood of executing simultaneous operations on encoded information. This is the first arrangement supporting geologically circulated customers to join straightforwardly to an encoded cloud database, and to execute simultaneous and autonomous operations including those adjusting the database structure. The proposed structural planning has the further focal point of taking out halfway intermediaries that utmost the flexibility, accessibility, and versatility properties that are characteristic in cloud-based arrangements. The adequacy of the proposed construction modeling is assessed through hypothetical investigations and far reaching test results focused around a model execution subject to the TPC-C standard benchmark for diverse quantities of customers and system latencies
Maternal Labor Supply, Childcare, and the Health of Preschool Children in Japan

Due to a considerable shortage of after-school childcare services, mothers in Japan are likely to reduce their labor supply when their firstborn child enrolls in elementary school. By exploiting the timing of the firstborn child’s school entry, this study explores how the health of younger preschool siblings responds to a decrease in maternal labor supply. A regression discontinuity design analysis is used to compare the health outcomes of preschool children whose eldest sibling enrolls in elementary school or remains in preschool. The results show that the maternal employment rate decreases by approximately 10% after the firstborn child’s enrollment in elementary school. In addition, the reduction in maternal labor supply leads to an increase in parental care for the younger siblings. Despite these substantial decreases in maternal labor supply and increases in parental care, I find no improvement of children’s subjective health status in both short-run and medium-run. The overall findings of this study indicate that the reduction in maternal labor supply is not associated with the health of preschool children.
AN IMPROVED DIFFERENTIAL EVOLUTION OPTIMIZATION ALGORITHM

The most important challenge in some optimization problems is CPU time. The performance and convergence speed of optimization algorithms have the most important effect on CPU time. In this work, the original differential evolution algorithm has been modified in order to increase the convergence speed of the optimization algorithm. These modifications can increase the probability of selection of evolved individuals and consequently can increase the performance of differential evolution algorithm. The performance characteristics of the modified differential evolution algorithm have been compared with those of the original differential evolution algorithm. Results obtained show that the modified differential evolution algorithm is able to converge and find the optimum point faster compared to the original algorithm. These modifications have been applied not only to different versions of differential evolution algorithm but also to adaptive differential evolution algorithm in order to investigate the convergence speed of these modified methods. According to the results obtained, the proposed modifications were able to improve the performance of the different versions of differential evolution and even adaptive differential evolution algorithms. Finally, the proposed modifications have been tested on several optimization problems to evaluate the effect of these modifications on the convergence speed of the algorithm in different applications. In all cases, the modified differential evolution algorithm is faster than the original algorithm. The results of the proposed algorithm have been verified with analytical results.
Performance Evaluation of Modulation strategies for Dual active bridge DC-DC Converter

Multiport DC-DC converters have recently gained attention to interface more than one power source with a load. By using these converters, it is possible to diversify the energy sources so that the power system availability can be increased. Furthermore, utilization of renewable and alternative sources can be increased by combining units with different technologies or by integrating energy storage to feed the load when the power sources are unavailable. This paper proposes a dual active bridge DC-DC converter for renewable energy applications. It is a DC-AC-DC converter which allows energy transfer between the source and the load. The performance of the converter will be analyzed by comparing various modulation strategies like phase shift, triangular and trapezoidal methods. The design of high frequency transformer has been discussed. The proposed topology is verified by simulation results.
A Novel Algorithm for Satellite Image Resolution Enhancement Using Wavelet-Domain Approach Based On (DT-CWT) and Non Local Means (NLM)

— In this paper, Resolution enhancement (RE) model has one of the biggest disadvantage (drawback) is losing high frequency contents (which results in blurring). Discrete wavelet transform based (DWT) RE scheme generates artifacts due to a DWT shift-variant property. For RE of the satellite images, here, new wavelet domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed. A satellite input image is decomposed by DT-CWT which is nearly shift invariant to obtain high-frequency sub bands. To interpolate the high-frequency sub bands and the low-resolution (LR) input images; in this paper the Lanczos interpolator is used. The high frequency sub bands are passed through an NLM filter to cater for the artifacts generated by DT-CWT. To obtain a resolution-enhanced image we are combining the filtered high-frequency sub bands and the LR input image by using inverse DT-CWT. Objective and subjective analyses show superiority of the new proposed technique over the conventional and state-of-the-art RE techniques.
Drawing Robot using Inverse Kinematic Algorithm

: Many of the drawing applications such as Drawing in 3D, Wall painting, Decorating manufactured goods, Animation, etc. can be done manually but it’s very time consuming, so drawing robot is less time consuming than manual process and this can be the solution for this. The project can be very useful for the PCB design. A servo motor uses pulse width modulation from Arduino unomicro-controller to know the position for the movement for its pen. The robot can move in both clockwise and anti-clockwise directions for drawing the picture. Servo motors are required to make support for ends. Caster wheels are required at the bottom of the arm with the pen for proper balance and support. Pen can be attached to the servo motor using cloth-pin. The robot will draw the picture based on changing the image in MATLAB using canny edge detection. Drawing command given by MATLAB Simulink via UART protocol.