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A Novel High-Efficiency Transaction Verification scheme for Blockchain systems

Computer Modeling in Engineering & sciences 2024年第5期139卷 1613-1633页

作者： Jingyu Zhang Pian Zhou Jin Wang Osama alfarraj saurabh singh Min Zhu school of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410015China science and Technology on Information systems Engineering Laboratory School of Systems EngineeringNational University of Defense TechnologyChangsha410073China Computer science Department King Saud UniversityRiyadh11437Saudi Arabia Department of Artificial Intelligence and Big Data Woosong UniversityDaejeon34606South Korea College of Information science and Technology Zhejiang Shuren UniversityHangzhou310015China

Blockchain can realize the reliable storage of a large amount of data that is chronologically related and verifiable within the *** technology has been widely used and has developed rapidly in big data systems across various *** increasing number of users are participating in application systems that use blockchain as their underlying *** the number of transactions and the capital involved in blockchain grow,ensuring information security becomes *** the verification of transactional information security and privacy has emerged as a critical ***-based verification methods can effectively eliminate the need for centralized third-party ***,the efficiency of nodes in storing and verifying blockchain data faces unprecedented *** address this issue,this paper introduces an efficient verification scheme for transaction ***,it presents a node evaluation module to estimate the activity level of user nodes participating in transactions,accompanied by a probabilistic analysis for all ***,this paper optimizes the conventional transaction organization form,introduces a heterogeneous Merkle tree storage structure,and designs algorithms for constructing these heterogeneous *** analyses and simulation experiments conclusively demonstrate the superior performance of this *** verifying the same number of transactions,the heterogeneous Merkle tree transmits less data and is more efficient than traditional *** findings indicate that the heterogeneous Merkle tree structure is suitable for various blockchain applications,including the Internet of *** scheme can markedly enhance the efficiency of information verification and bolster the security of distributed systems.

关键词： Blockchain architecture transaction verification information security heterogeneous Merkle tree distributed systems

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Various Organic Nutrient sources in Combinations with Inorganic Fertilizers Influence the Yield and Quality of sweet Corn(Zea mays ***)in New Alluvial soils of West Bengal,India

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Phyton-International Journal of Experimental Botany 2024年第4期93卷 763-776页

作者： Anindita Das Kanu Murmu Biplab Mitra Pintoo Bandopadhyay Ritesh Kundu Moupiya Roy s.leh alfarraj Mohammad Javed Ansari Marian Brestic Akbar Hossain Department of Agronomy School of Agricultural SciencesJIS UniversityKalyaniNadiaWest Bengal741235India Department of Agronomy Bidhan Chandra Krishi ViswavidyalayaMohanpurWest Bengal741252India Department of Agronomy Uttar Banga Krishi ViswavidyalayaCoochbeharWest Bengal736101India Office of The Assistant Director of Agriculture Gosaba BlockArampurSouth 24 ParganasWest Bengal743370India Department of Agricultural statistics Bidhan Chandra Krishi ViswavidyalayaMohanpurWest Bengal741252India Zoology Department College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Botany Hindu College Moradabad(Mahatma Jyotiba Phule Rohilkhand UniversityBareilly)MoradabadUttar Pradesh244001India Institute of Plant and Environmental sciences Slovak University of AgricultureTr.A.Hlinku 2Nitra94901Slovak Division of soil science Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh

Nutrient management plays a crucial role in the yield and quality of sweet corn.A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal,*** were:T_(1):Control(without fertilizers);T_(2):100%recommended dose(RDF)of chemical fertilizers(CF)(RDF CF_(100%));T_(3):100%recommended dose of N(RDN)through vermicompost(VC)(RDN VC_(100%));T_(4):50 RDN through CF+50%RDN through VC(RDN CF_(50%)+RDN VC50%);T_(5):50%RDF through CF+50%RDN through organic source(Os)1,soligro(Ascophyllum nodosum)granular(RDN CF_(50%)+RDN Os_(150%));T6:50%RDN through CF+50%RDN through Os 2,Bioenzyme(liquid)(RDN CF_(50%)+RDN Os250%);T7:50%RDN through CF+50%RDN through Os 3,Opteine(Ascophyllum nodosum)filtrate[RDN CF_(50%)+RDN Os350%];T8:50%RDN through VC+50%RDF through Os 1,soligro(Ascophyllum nodosum)granular(RDN VC50%+RDN Os_(150%)).The Os of fertilizers were VC,soliGro Gr(Os1)(Ascophyllum nodosum),Bioenzyme liquid(Os2),and Opteine(Ascophyllum nodosum)filtrate(Os3).The inorganic source was traditional CF applied at the RDF(150:75:75 kg ha^(−1) of N:P2O5:K2O).The VC was used to supply 100%RDN as one source or 50%RDN when combined with CF or *** fruit yield(10.75 and 10.79 t ha^(−1) in 2018 and 2019,respectively)was recorded when RDF was substituted through CF only,being statistically at par with 50%CF+50%VC on a nitrogen equivalent basis(9.92 and 10.00 t ha^(−1) in 2018 and 2019,respectively)and 100%VC(8.22 and 8.32 t ha^(−1) in 2018 and 2019,respectively).Compared to chemical sources of nutrients,VC-based treatments produced a larger percentage of large-size cob(>25 cm).The 100%VC increased antioxidant(8.35 and 8.45 mg g^(−1)),carotenoid(0.59 and 0.61 mg/100 g),and phenol(55.06 and 55.02 mg 100 g^(−1))content compared with its 50%dose in combination with other *** s

关键词： Biostimulants Ascophyllum nodosum crop quality crop yield sweet corn

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Optimization of Cooperative RelayingMolecular Communications for Nanomedical Applications

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1259-1275页

作者： Eman s.Attia Ashraf A.M.Khalaf Fathi E.Abd El-samie saied M.Abd El-atty Konstantinos A.Lizos Osama alfarraj Heba M.El-Hoseny Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)OsloNorway Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer science The Higher Future Institute for Specialized Technological StudiesEl ShoroukEgypt

Recently,nano-systems based on molecular communications via diffusion(MCvD)have been implemented in a variety of nanomedical applications,most notably in targeted drug delivery system(TDDs)***,because the MCvD is unreliable and there exists molecular noise and inter symbol interference(IsI),cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells,especially if the separation distance between the nano transmitter and nano receiver is *** this work,we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme,while accounting for blood flow effects in terms of drift *** fractions of the molecular drug that should be allocated to the nano transmitter and nano relay positioning are computed using a collaborative optimization problem solved by theModified Central Force Optimization(MCFO)*** the previous work,the probability of bit error is expressed in a closed-form *** is used as an objective function to determine the optimal velocity of the drug molecules and the detection threshold at the nano *** simulation results show that the probability of bit error can be dramatically reduced by optimizing the drift velocity,detection threshold,location of the nano-relay in the proposed nano system,and molecular drug budget.

关键词： Nanomedical system molecular communication cooperative relay optimization

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Genome-Wide Analysis for Yield-Related Agronomic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Genotypes Using ssR Markers

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Phyton-International Journal of Experimental Botany 2024年第8期93卷 1781-1804页

作者： Md.Mosiur Rahman Md.Ruhul Quddus Quanle Xu Muhammad Malek Hossain Rong Liu Mengwei Li Xin Yan Guan Li Yishan Ji Chenyu Wang Ashutosh sarker Tao Yang Xuxiao Zong Md.Monoar Hossain s.leh alfarraj Mohammad Javed Ansari sagar Maitra Akbar Hossain Institute of Crop sciences Chinese Academy of Agricultural Sciences(CAAS)Beijing100081China Pulses Research Center Bangladesh Agricultural Research Institute(BARI)Gazipur1701Bangladesh Hybrid Rice Division Bangladesh Rice Research Institute(BRRI)Gazipur1701Bangladesh Northwest Agriculture&Forestry University Yangling712199China International Center for Agricultural Research in the Dry Areas(ICARDA) New Delhi110012India Wheat Breeding Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh Zoology Department College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Botany Hindu College Moradabad(Mahatma Jyotiba Phule Rohilkhand UniversityBareilly)Moradabad244001India Department of Agronomy and Agroforestry Centurion University of Technology and ManagementOdisha761211India soil science Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh

Grass pea(Lathyrus sativus L.)is an imperative food crop cultured in dryland agricultural *** is a vital source of dietary protein to millions of populaces living in low-income countries in south-East Asia and *** study highlights the improvement of genomic properties and their application in marker-trait relationships for 17 yield-related characters in 400 grass pea genotypes from China and *** characters were assessed via 56 polymorphic markers using general linear model(GLM)(P+G+Q)and mixed linear model(MLM)(P+G+Q+K)in the tassel software based on the linkage disequilibrium and population structure *** structure analysis showed two major groups and one admixed group in the *** significant loci pairs of linkage disequilibrium(LD)mean value(D′)was 0.479.A total of 99 and 61 marker-trait associations in GLM and MLM models allied to the 17 traits were accepted at a 5%level of *** these markers,21 markers were associated with more than one trait;12 marker-trait associations passed the Bonferroni correction *** models found six markers C41936,C39067,C34100,C47146,C47638,and C43047 significantly associated with days to maturity,flower color,plant height,and seed per pod were detected in the Hebei and Liaoyang location(p≤0.01),and the interpretation rate(R^(2)value)11.2%to 43.6%.Conferring to the consequences,the association analysis methodology may operative system for quantitative,qualitative,and biochemical traits related to gene position mapping and support breeders in improving novel approaches for advancing the grass pea quality.

关键词： Grass pea dryland agriculture genome-wide association yield contributing traits ssR markers

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self-Management of Low Back Pain Using Neural Network

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Computers, Materials & Continua 2021年第1期66卷 885-901页

作者： Purushottam sharma Mohammed Alshehri Richa sharma Osama alfarraj AsET Amity University Uttar PradeshNoida201301India Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Computer science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Low back pain(LBP)is a morbid condition that has afflicted several citizens in *** has negatively impacted the European economy due to several man-days lost,with bed rest and forced inactivity being the usual LBP care and management *** models,which incorporate various regression analyses,have been executed for the investigation of this premise due to the simplicity of ***,such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous *** this paper,we discuss a system that aids decision-making regarding the best-suited support system for LBP,allowing the individual to avail of reinforcement and improvement in its *** activities are monitored with the help of a wearable sensor that helps in their detection and their classification as those that soothe or aggravate LBP and hence,should or should not be *** system helps the patients set their own boundaries and milestones with respect to suitable *** system also does windowing and feature *** present study is an empirical and comparative analysis of the most suitable activities that patients suffering from low back pain can *** evaluation shows that the system can distinguish between nine common daily activities effectively and helps self-monitor these activities for the efficient management of LBP.

关键词： Low back pain neural networks sensor classification time series

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Motion-Based Activities Monitoring through Biometric sensors Using Genetic Algorithm

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Computers, Materials & Continua 2021年第3期66卷 2525-2538页

作者： Mohammed Alshehri Purushottam sharma Richa sharma Osama alfarraj Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia AsET Amity University NoidaNoida201301India Computer science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

sensors and physical activity evaluation are quite limited for motionbased commercial *** the accelerometer of the smartwatch is utilized;walking is *** combination can perform better in terms of sensors and that can be determined by sensors on both the smartwatch and phones,i.e.,accelerometer and *** biometric efficiency,some of the diverse activities of daily routine have been evaluated,also with biometric *** result shows that using the different computing techniques in phones and watch for biometric can provide a suitable output based on the mentioned *** indicates that the high feasibility and results of continuous biometrics analysis in terms of average daily routine *** this research,the set of rules with the real-valued attributes are evolved with the use of a genetic *** the help of real value genes,the real value attributes cab be encoded,and presentation of new methods which are represents not to cares in the *** rule sets which help in maximizing the number of accurate classifications of inputs and supervise classifications are viewed as an optimization *** use of Pitt approach to the ML(Machine Learning)and Genetic based system that includes a resolution mechanism among rules that are competing within the same rule sets is *** enhances the efficiency of the overall system,as shown in the research.

关键词： Genetic algorithms biometrics data mining sensors smartphone smartwatch

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LogUAD: Log Unsupervised Anomaly Detection Based on Word2Vec

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Computer systems science & Engineering 2022年第6期41卷 1207-1222页

作者： Jin Wang Changqing Zhao shiming He Yu Gu Osama alfarraj Ahed Abugabah school of Computer and Communication Engineering Changsha University of Science&TechnologyChangsha410114China Department of Chemistry Institute of Inorganic and Analytical ChemistryGoethe-UniversityFrankfurt60438Germany Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Zayed University CTIAbu Dhabi144534United Arab Emirates

system logs record detailed information about system operation and areimportant for analyzing the system's operational status and performance. Rapidand accurate detection of system anomalies is of great significance to ensure system stability. However, large-scale distributed systems are becoming more andmore complex, and the number of system logs gradually increases, which bringschallenges to analyze system logs. some recent studies show that logs can beunstable due to the evolution of log statements and noise introduced by log collection and parsing. Moreover, deep learning-based detection methods take a longtime to train models. Therefore, to reduce the computational cost and avoid loginstability we propose a new Word2Vec-based log unsupervised anomaly detection method (LogUAD). LogUAD does not require a log parsing step and takesoriginal log messages as input to avoid the noise. LogUAD uses Word2Vec togenerate word vectors and generates weighted log sequence feature vectors withTF-IDF to handle the evolution of log statements. At last, a computationally effi-cient unsupervised clustering is exploited to detect the anomaly. We conductedextensive experiments on the public dataset from Blue Gene/L (BGL). Experimental results show that the F1-score of LogUAD can be improved by 67.25%compared to LogCluster.

关键词： Log anomaly detection log instability word2Vec feature extraction

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A storage Optimization scheme for Blockchain Transaction Databases

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Computer systems science & Engineering 2021年第3期36卷 521-535页

作者： Jingyu Zhang siqi Zhong Jin Wang Xiaofeng Yu Osama alfarraj school of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China school of systems Engineering National University of Defense TechnologyChangsha410000China school of Information science and Engineering Fujian University of TechnologyFuzhou350000China school of Business Nanjing UniversityNanjing210093China Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia

As the typical peer-to-peer distributed networks, blockchain systemsrequire each node to copy a complete transaction database, so as to ensure newtransactions can by verified independently. In a blockchain system (e.g., bitcoinsystem), the node does not rely on any central organization, and every node keepsan entire copy of the transaction database. However, this feature determines thatthe size of blockchain transaction database is growing rapidly. Therefore, with thecontinuous system operations, the node memory also needs to be expanded tosupport the system running. Especially in the big data era, the increasing networktraffic will lead to faster transaction growth rate. This paper analyzes blockchaintransaction databases and proposes a storage optimization scheme. The proposedscheme divides blockchain transaction database into cold zone and hot zone usingexpiration recognition method based on Least Recently Used (LRU) algorithm. Itcan achieve storage optimization by moving unspent transaction outputs outsidethe in-memory transaction databases. We present the theoretical analysis on theoptimization method to validate the effectiveness. Extensive experiments showour proposed method outperforms the current mechanism for the blockchaintransaction databases.

关键词： Blockchain distributed systems transaction databases

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TLsmell: Direct Identification on Malicious HTTPs Encryption Traffic withsimple Connection-specific Indicators

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Computer systems science & Engineering 2021年第4期37卷 105-119页

作者： Zhengqiu Weng Timing Chen Tiantian Zhu Hang Dong Dan Zhou Osama alfarraj school of Computer science and Technology Zhejiang University of TechnologyHangzhou310023China Department of Information Technology Wenzhou PolytechnicWenzhou325035China Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia

Internet traffic encryption is a very common traffic protection *** internet traffic is protected by the encryption protocol called transport layersecurity (TLs). Although traffic encryption can ensure the security of communication, it also enables malware to hide its information and avoid being *** present, most of the malicious traffic detection methods are aimed at the unencrypted ones. There are some problems in the detection of encrypted traffic, suchas high false positive rate, difficulty in feature extraction, and insufficient practicability. The accuracy and effectiveness of existing methods need to be *** this paper, we present TLsmell, a framework that conducts maliciousencrypted HTTPs traffic detection with simple connection-specific indicators byusing different classifiers based online training. We perform deep packet analysisof encrypted traffic through data pre-processing to extract effective features, andthen the online training algorithm is used for training and prediction. Withoutdecrypting the original traffic, high-precision malicious traffic detection and analysis are realized, which can guarantee user privacy and communication *** the same time, since there is no need to decrypt the traffic in advance, the effi-ciency of detecting malicious HTTPs traffic will be greatly improved. Combinedwith the traditional detection and analysis methods, malicious HTTPs traffic isscreened, and suspicious traffic is further analyzed by the expert through the context of suspicious behaviors, thereby improving the overall performance of malicious encrypted traffic detection.

关键词： Cyber security malware detection TLs feature engineering

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Digital Continuity Guarantee Approach of Electronic Record Based on Data Quality Theory

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Computers, Materials & Continua 2020年第6期63卷 1471-1483页

作者： Yongjun Ren Jian Qi Yaping Cheng Jin Wang Osama alfarraj school of Computer and software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China school of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia

since the British National Archive put forward the concept of the digital continuity in 2007,several developed countries have worked out their digital continuity action ***,the technologies of the digital continuity guarantee are still *** first,this paper analyzes the requirements of digital continuity guarantee for electronic record based on data quality theory,then points out the necessity of data quality guarantee for electronic ***,we convert the digital continuity guarantee of electronic record to ensure the consistency,completeness and timeliness of electronic record,and construct the first technology framework of the digital continuity guarantee for electronic ***,the temporal functional dependencies technology is utilized to build the first integration method to insure the consistency,completeness and timeliness of electronic record.

关键词： Electronic record digital continuity data quality

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