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An Efficient Reference Free Adaptive Learning Process for Speech Enhancement Applications

Computers, Materials & Continua 2022年第2期70卷 3067-3080页

作者： Girika Jyoshna md.zia ur rahman L.Koteswararao Deptartment of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationKL UniversityVaddeswaramGunturAndhra PradeshIndia Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationKL UniversityHyderabadTelanganaIndia

In issues like hearing impairment,speech therapy and hearing aids play a major role in reducing the *** of noise signals from speech signals is a key task in hearing aids as well as in speech *** the transmission of speech signals,several noise components contaminate the actual speech *** paper addresses a new adaptive speech enhancement(ASE)method based on a modified version of singular spectrum analysis(MSSA).The MSSA generates a reference signal for ASE and makes the ASE is free from feeding reference *** MSSA adopts three key steps for generating the reference from the contaminated speech *** are decomposition,grouping and *** generated reference is taken as a reference for variable size adaptive learning *** this work two categories of adaptive learning algorithms are *** are step variable adaptive learning(SVAL)algorithm and time variable step size adaptive learning(TVAL).Further,sign regressor function is applied to adaptive learning algorithms to reduce the computational complexity of the proposed adaptive learning *** performance measures of the proposed schemes are calculated in terms of signal to noise ratio improvement(SNRI),excess mean square error(EMSE)and misadjustment(MSD).For cockpit noise these measures are found to be 29.2850,-27.6060 and 0.0758 dB respectively during the experiments using SVAL *** considering the reduced number of multiplications the sign regressor version of SVAL based ASE method is found to better then the counter parts.

关键词： Adaptive algorithm speech enhancement singular spectrum analysis reference free noise canceller variable step size

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Design of Low Power Transmission Gate Based 9T SRAM Cell

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Computers, Materials & Continua 2022年第7期72卷 1309-1321页

作者： S.Rooban Moru Leela md.zia ur rahman N.Subbulakshmi R.Manimegalai Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522502India Department of Electronics and Communication Engineering Francis Xavier Engineering CollegeTirunelveliTamil Nadu627003India Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatoreTamil Nadu641062India

Considerable research has considered the design of low-power and high-speed *** integrated circuits with low-power consumption is an important issue due to the rapid growth of high-speed *** static random-access memory(SRAM)units are necessary components in fast mobile *** SRAM cells are more energyconsuming and with lower *** major constraints in SRAM cells are their reliability and low *** objectives of the proposed method are to provide a high read stability,low energy consumption,and better writing abilities.A transmission gate-based multi-threshold single-ended Schmitt trigger(ST)9T SRAM cell in a bit-interleaving structure without a write-back scheme is ***,an ST inverter with a single bit-line design is used to attain the high read stability.A negative assist technique is applied to alter the trip voltage of the single-ended ST *** multithreshold complementary metal oxide semiconductor(MTCMOS)technique is adopted to reduce the leakage power in the proposed single-ended TGST 9T SRAM *** proposed system uses a combination of standard and ST inverters,which results in a large read *** with the previous ST 9T,ST 11T,11T,10T,and 7T SRAM cells,the proposed cell is implemented in Cadence Virtuoso ADE with 45-nm CMOS technology and consumes 35.80%,42.09%,31.60%,12.54%,and 31.60%less energy for read operations and 73.59%,93.95%,92.76%,89.23%,and 85.78%less energy for write operations,respectively.

关键词： Bit-interleaving low power SRAM cell schmitt trigger transmission gate

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Frequency Domain Adaptive Learning Algorithm for Thoracic Electrical Bioimpedance Enhancement

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Computers, Materials & Continua 2022年第9期72卷 5713-5726页

作者： md zia ur rahman S.Rooban P.Rohini M.V.S.Ramprasad Pradeep Vinaik Kodavanti Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationK L UniversityVaddeswaramGuntur522502Andhra PradeshIndia Department of Computer Science and Engineering Faculty of Science and TechnologyICFAI Foundation for Higher EducationHyderabad500082TelanganaIndia Department of Electrical Electronics and Communication EngineeringGITAM Institute of TechnologyGITAM Deemed to be UniversityVisakhapatnam530045Andhra PradeshIndia

The Thoracic Electrical Bioimpedance(TEB)helps to determine the stroke volume during cardiac *** measuring cardiac signal it is contaminated with *** commonly encountered artifacts are Baseline wander(BW)and Muscle artifact(MA),these are physiological and *** the nature of these artifacts is random,adaptive filtering is needed than conventional fixed coefficient filtering *** address this,a new block based adaptive learning scheme is proposed to remove artifacts from TEB signals in clinical *** proposed block least mean square(BLMS)algorithm is mathematically normalized with reference to data and *** normalization leads,block normalized LMS(BNLMS)and block error normalized LMS(BENLMS)*** adaptive artifact cancellers are developed in both time and frequency domains and applied on real TEB quantities contaminated with physiological *** ability of these techniques is measured by calculating signal to noise ratio improvement(SNRI),Excess Mean Square Error(EMSE),and Misadjustment(Mad).Among the considered algorithms,the frequency domain version of BENLMS algorithm removes the physiological artifacts effectively then the other counter ***,this adaptive artifact canceller is suitable for real time applications like wearable,remove health care monitoring units.

关键词： Adaptive learning artifact canceller block processing frequency domain thoracic electrical bioimpedance

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Deep Learned Singular Residual Network for Super Resolution Reconstruction

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Computers, Materials & Continua 2023年第1期74卷 1123-1137页

作者： Gunnam Suryanarayana D.Bhavana P.E.S.N.Krishna Prasad M.M.K.Narasimha Reddy md zia ur rahman Department of Electronics and Communications V R Siddhartha Engineering CollegeVijayawada520007India Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur522502India Department of CSE Anil Neerukonda Institute of Technology&SciencesSangivalasaVisakhapatnam531162India

Single image super resolution(SISR)techniques produce images of high resolution(HR)as output from input images of low resolution(LR).Motivated by the effectiveness of deep learning methods,we provide a framework based on deep learning to achieve super resolution(SR)by utilizing deep singular-residual neural network(DSRNN)in training *** are obtained from the difference between HR and LR images to generate LR-residual example *** value decomposition(SVD)is applied to each LR-residual image pair to decompose into subbands of low and high frequency ***,DSRNN is trained on these subbands through input and output channels by optimizing the weights and biases of the *** fewer layers in DSRNN,the influence of exploding gradients is *** speeds up the learning process and also improves accuracy by using skip *** trained DSRNN parameters yield residuals to recover the HR subbands in the testing *** analysis shows that the proposed method results in superior performance to existingmethods in terms of subjective *** testing results on popular benchmark datasets such as set5,set14,and urban100 for a scaling factor of 4 show the effectiveness of the proposed method across different qualitative evaluation metrics.

关键词： Deep learning image reconstruction residual network singular values super resolution

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The link between intracellular calcium signaling and exosomal PD-L1 in cancer progression and immunotherapy

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Genes & Diseases 2024年第1期11卷 321-334页

作者： md Rakibul Alam md Mizanur rahman Zhiguo Li Department of Toxicology and Cancer Biology College of MedicineUniversity of KentuckyLexingtonKY 40506USA Department of Medicine(Nephrology) Faculty of Medicine and DentistryUniversity of AlbertaEdmontonAlberta T6E2H7Canada

Exosomes are small membrane vesicles containing microRNA,RNA,DNA fragments,and proteins that are transferred from donor cells to recipient *** cells release exo-somes to reprogram the factors associated with the tumor microenvironment(TME)causing tu-mor metastasis and immune *** evidence revealed that cancer cell-derived exosomes carry immune inhibitory molecule program death ligand 1(PD-L1)that binds with re-ceptor program death protein 1(PD-1)and promote tumor progression by escaping immune ***,some FDA-approved monoclonal antibodies are clinicallyused for cancer treatment by blocking PD-1/PD-L1 *** notable treatment outcomes,some pa-tients show poor drug *** PD-L1 plays a vital role in lowering the treatment response,showing resistance to PD-1/PD-L1 blockage therapy through recapitulating the ef-fect of cell surface *** enhance therapeutic response,inhibition of exosomal PD-L1 is *** signaling is the central regulator of tumorigenesis and can regulate exosome biogenesis and secretion by modulating Rab GTPase family and membrane fusion ***-mune checkpoints are also connected with calcium signaling and calcium channel blockers like amlodipine,nifedipine,lercanidipine,diltiazem,and verapamil were also reported to suppress cellular PD-L1 ***,to enhance the PD-1/PD-L1 blockage therapy response,the reduction of exosomal PD-L1 secretion from cancer cells is in our therapeutic *** this review,we proposed a therapeutic strategy by targeting calcium signaling to inhibit the expression of PD-L1-containing exosome levels that could reduce the anti-PD-1/PD-L1 therapy resistance and increase the patient's drug response rate.

关键词： Calcium signaling CD8^(+)T cells Exosomal PD-L1 Exosomes biogenesis Immunosuppression Immunotherapy

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Leveraging Sharding-Based Hybrid Consensus for Blockchain

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Computers, Materials and Continua 2024年第1期81卷 1215-1233页

作者： Baageel, Hind rahman, md Mahfuzur Department of Information & Computer Science King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center (IRC) for Intelligent Secure Systems King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia

The advent of blockchain technology has transformed traditional methods of information exchange, shifting reliance from centralized data centers to decentralized frameworks. While blockchain's decentralization and security are strengths, traditional consensus mechanisms like Proof ofWork (PoW) and Proof of Stake (PoS) face limitations in scalability. PoW achieves decentralization and security but struggles with scalability as transaction volumes grow, while PoS enhances scalability, but risks centralization due to monopolization by high-stake participants. Sharding, a recent advancement in blockchain technology, addresses scalability by partitioning the network into shards that process transactions independently, thereby improving throughput and reducing latency. However, cross-shard communication, essential for transactions involving multiple shards, introduces challenges in coordination and fault tolerance. This research introduces a shard-based hybrid consensus model, PoSW, which combines PoW and PoS to mitigate the limitations of both mechanisms. By integrating PoW's fairness with PoS's scalability in a shard-based blockchain, the proposedmodel addresses key issues of scalability andmonopolization. We evaluate the model against state-of-the-art consensus algorithms, includingMonoxide and Practical Byzantine Fault Tolerance (PBFT). The results show that the proposed PoSW model reduces communication overhead compared to PBFT and improves resource utilization overMonoxide. In addition to performance gains, the security analysis demonstrates that the PoSW model provides robust defense against common blockchain attacks such as the 51% and Sybil attacks, etc. The proposed approach is particularly suited for applications like decentralized finance (DeFi) and supply chain management, which require both high scalability and robust security. The contributions of this research include the development of the PoSW hybrid consensus mechanism, its comparative evaluation with l

关键词： Decentralized finance

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Remote condition monitoring of rail tracks using distributed acoustic sensing(DAS):A deep CNN-LSTM-SW based model

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Green Energy and Intelligent Transportation 2024年第5期3卷 70-85页

作者： md Arifur rahman Suhaima Jamal Hossein Taheri The Laboratory for Advanced Non-Destructive Testing In-situ Monitoringand Evaluation(LANDTIE)Department of Manufacturing EngineeringGeorgia Southern UniversityStatesboro 30458GAUSA Information Technology Department Georgia Southern UniversityStatesboro 30458GAUSA

Railroad condition monitoring is paramount due to frequent passage through densely populated *** significance arises from the potential consequences of accidents such as train derailments,hazardous materials leaks,or collisions which may have far-reaching impacts on communities and the surrounding *** a solution to this issue,the use of distributed acoustic sensing(DAS)-fiber optic cables along railroads provides a feasible tool for monitoring the health of these extended ***,analyzing DAS data to assess railroad health or detect potential damage is a challenging *** to the large amount of data generated by DAS,as well as the unstructured patterns and substantial noise present,traditional analysis methods are ineffective in interpreting this *** paper introduces a novel approach that harnesses the power of deep learning through a combination of CNNs and LSTMs,augmented by sliding window techniques(CNN-LSTM-SW),to advance the state-of-the-art in the railroad condition monitoring *** well as it presents the potential for DAS and fiber optic sensing technologies to revolutionize the proposed CNN-LSTM-SW model to detect conditions along the rail track *** insights from the data of High tonnage load(HTL)-a 4.16 km fiber optic and DAS setup,we were able to distinguish train position,normal condition,and abnormal conditions along the ***,our investigation demonstrated that the proposed approaches could serve as efficient techniques for processing DAS signals and detecting the condition of railroad infrastructures at any remote distance with DAS-Fiber optic cable ***,in terms of pinpointing the train's position,the CNN-LSTM architecture showcased an impressive 97%detection *** a sliding window,the CNN-LSTM labeled data,the remaining 3%of misclassified labels have been improved dramatically by predicting the exact locations of each type of ***,these prop

关键词： Distributed acoustic sensing(DAS)-Fiber optic cable Railroad condition monitoring and anomaly detection High tonnage load(HTL) Convolutional neural network-long short-term memory-sliding window(CNN-LSTM-SW)

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Tracking of microplastics distribution patterns and their characterisation in deposited road dust from Dhaka city,Bangladesh

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Emerging Contaminants 2024年第3期10卷 386-399页

作者： Mohammad Toha R-Rafiul rahman Sadia Sikder md Ahedul Akbor md Mostafizur rahman Department of Environmental Science Bangladesh University of ProfessionalsMirpurCantonmentDhaka1216Bangladesh Department of Environmental Sciences Jahangirnagar UniversitySavarDhaka1342Bangladesh Laboratory of Environmental Health and Ecotoxicology Department of Environmental SciencesJahangirnagar UniversitySavarDhaka1342Bangladesh Institute of National Analytical Research and Service(INARS) Bangladesh Council of Scientific and Industrial Research(BCSIR)DhanmondiDhaka1205Bangladesh

The widespread presence of microplastics(MPs)in road dust has considerable concern regarding their potential risks to ecosystems and human *** the massive production of plastic,the erudition of MPs distribution patterns in various sizes of deposited road dust is still limited around the ***,the aim of this research is to provide an unambiguous picture of MPs distributional pattern,identification,classification,quantification,and features from road dust in various zones and types of roadways in Dhaka,*** study examined MPs in road dust samples with particle sizes ranging from 300 to 150 mm(Group-A),149-75 mm(Group-B),andures,and 3.0 ML software were utilized to identify MPs ***,FTIR and SEM were utilized to determine the chemical composition of ***-A Road dust samples had a significantly higher concentration of MPs(38945 items/kg)compared to Group-B andunpaved road(325 items/5 g)>soil samples(294 items/5 g),roadside dust samples(284 items/5 g),and mid-road(283 items/5 g).By taking into account all sizes of road dust samples,the MPs were classified as fiber(70.26%),fragment(26.12%),beads(0.66%),films(1.32%),and foams(1.58%).It was found that adults inhaled MPs an average of 1612 items/day,while they ingested an average of 880 items/*** had an inhalation rate of 1232 items/day and an ingestion rate of 10267 items/day,which was 4e17 times greater than in other *** study identified 22 MPs polymer types,and SEM results show that MPs surfaces are being weathered into nanoplastics,creating a more hazardous environment.

关键词： Microplastics Road dust SEM FTIR Health impact Distribution pattern

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Thornthwaite moisture index and depth of suction change under current and future climate‒An Australian study

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1761-1775页

作者： md Rajibul Karim Bikash Devkota md Mizanur rahman Hoang Bao Khoi Nguyen UniSA STEM University of South AustraliaMawson Lakes CampusMawson LakesSouth Australia5095Australia

Climate change is one of the major global challenges and it can have a significant influence on the behaviour and resilience of geotechnical *** changes in moisture content in soil lead to effective stress changes and can be accompanied by significant volume changes in reactive/expansive *** volume change leads to ground movement and can exert additional stresses on structures founded on or within a shallow depth of such *** change is likely to amplify the ground movement potential and the associated problems are likely to *** effect of atmospheric boundary interaction on soil behaviour has often been correlated to Thornthwaite moisture index(TMI).In this study,the long-term weather data and anticipated future projections for various emission scenarios were used to generate a series of TMI maps for *** changes in TMI were then correlated to the depth of suction change(H s),an important input in ground movement *** all climate scenarios considered,reductions in TMI and increases in H s values were observed.A hypothetical design scenario of a footing on expansive soil under current and future climate is *** is observed that a design that might be considered adequate under the current climate scenario,may fail under future scenarios and accommodations should be made in the design for such events.

关键词： Climate change Future prediction Thornthwaite moisture index(TMI) Characteristic surface movement Infrastructure resilience

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Surface Morphology and Thermo-Electrical Energy Analysis of Polyaniline (PANI) Incorporated Cotton Fabric

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Energy Engineering 2024年第1期121卷 1-12页

作者： md.Shohan Parvez md.Mustafizur rahman Mahendran Samykano Mohammad Yeakub Ali Automotive Engineering Research Group Faculty of Mechanical and Automotive Engineering TechnologyUniversiti Malaysia Pahang Al-Sultan AbdullahPekanMalaysia Department of Textile Engineering Khulna University of Engineering&Technology(KUET)KhulnaBangladesh Centre for Research in Advanced Fluid and Processes(CARIFF) Universiti Malaysia Pahang Al-Sultan AbdullahLebuhraya Tun RazakGambangMalaysia Mechanical Engineering Programme Area Faculty of EngineeringUniversiti Teknologi BruneiBruneiDarussalam

With the exponential development in wearable electronics,a significant paradigm shift is observed from rigid electronics to flexible wearable ***(PANI)is considered as a dominant material in this sector,as it is endowed with the optical properties of both metal and ***,its widespread application got delineated because of its irregular rigid form,level of conductivity,and precise choice of *** PANI in textile materials can generate promising functionality for wearable *** research work employed a straightforward in-situ chemical oxidative polymerization to synthesize PANI on Cotton fabric surfaces with varying dopant(HCl)***-treatment using NaOH is implemented to improve the conductivity of the fabric surface by increasing the monomer *** research explores the morphological and structural analysis employing SEM,FTIR and *** surface resistivity was measured using a digital multimeter,and thermal stability is measured using *** successful polymerization,a homogenous coating layer is *** is revealed that the simple pre-treatment technique significantly reduces the surface resistivity of Cotton fabric to 1.27 kΩ/cm with increasing acid concentration and thermal *** electro-thermal energy can also reach up to 38.2°C within 50 s with a deployed voltage of 15 *** modified fabric is anticipated to be used in thermal regulation,supercapacitor,sensor,UV shielding,antimicrobial and other prospective functional applications.

关键词： Polyaniline cotton in-situ polymerization SEM TGA heating fabric

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