bluuebunny/crossref_metadata_2025 huggingface dataset:
Requirement Model of Rubber Trading on Android Operating System
Authors: Homhual Podjana , Metaweesuwan Sasiporn , Suksawang Pramhathai , Sirikhamhom Amon
Published: July 2024

The objective of this research is to design and develop a mobile application on android operating system for rubber trading and also to study the user satisfaction with mobile application on android operating system for rubber trading. The target population for this research is a group of people who has been involved in rubber trading. There are 50 users by means of purposive sampling. The statistical methods for analysis are in terms of mean and standard deviation. This research has been tapped into the systems development life cycle to carry out the operation with 6 functions as registration, login, customer information management, rubber price information management, management of rubber trading information and report. The development using android SDK on a mobile phone operating system, Android 5.0 or higher. And is built using Android Studio and Java Development Kit (JDK) as the programing language. From this research, it was found that the overall evaluation is the high levels ( = 4.38, S.D. = 0.73). The results of the evaluation of the performance of applications by experts. And satisfaction of the users that have the same opinions. It is that developed applications are of acceptable quality. Usability is as the degree to which application can be used by people to meet their needs. It is easy to find and store data in a systematic. This application can help reduce the cost and new channel for customers or users to track data.Â
Selecting a College Academic Branch- a Design Decision Taking System for Student Career Selection
Authors: Balasubramanyam S. , Padmaja Usharani D. , Harsha Vardhan Reddy A. , Swetha Danthala , Narendra Santosh Kumar Gurram , Anusha K. , Hasane Ahammad Sk.
Published: July 2024

Â Student advising is an important task that every advisor must participate for his/her career. This paper defines the essentiality of the software, decision taking system for students to select their academic branch interests. By developing this software student interact with the system and specifies their interested jobs and based on their interests the system gives some suggestions from these suggestions the student should take decision in choosing their academic branch. A research is conducted by certain students in university, a set of questionnaires are given to students which asks about their interests and career possibilities. Set of results were taken by considering these questionnaires and compared with the results of computer system, a drastic change in the results was observed. The results obtained when students interacting with computer system are more efficient than the questionnaires given by the counselors. The computer system which is developed is more efficient when compared to manual counseling which takes more time to interact with students and analyze the results and say the correct career which a student has to choose.Â Â
Page Enabled FSM Model For Multi Rate- High Throughput Regex Pattern Matching System
Authors: Nagaraju S. , Sudhakara Reddy P.
Published: July 2024

In recent years demands for high throughput NIDS systems are emerged with compatible Wildcard support for the detection of irregular patterns like ClamAV. In this work we presented a single-compound FSM based state transition controller for regular ASCII based patterns and counter enabled score generation model for regex patterns which contains both repeated characters and donâ€™t cares void segments. In many existing digital NIDS systems are token-stream based approaches were used with dedicated memory units to accommodate byte oriented matching with moderate network payload speed. The NIDS efficiency is largely depends on both intrusion byte size and the size of database. To mitigate this problem memory based digital NIDS system requires coordinated pattern matching. In this work, FSM based one hot state encoding model with bit wise state transition controller is proposed which gives both parallel task and high throughput payload validity check. Here during the payload monitoring if input segments are aggregated as tokens, the state transition controller is used to enable the counter for token model and state transitions are carried out based on the regex patterns received and the concurrent matches that are halted in parallel manner. To avoid clock synchronization over concurrent matching process and variable rate matching process page wise integration of each sub groups are carried out which is driven by ADPLL unit. The performance metrics of FSM state controlled payload monitoring is proved in terms of speed and memory efficiency over state-of-art-the-art methods. Here in our proposed NIDS system consumes lesser memory resources and it is verified through comparison with state-of-the-art methods.Â Â
Medi-Care Database Maintenance System
Authors: M. Keerthana S. , Priyanga Devi L. , Kavinya D. , Sharmila N.
Published: July 2024

The recent advances in information and communication technology are congregation; storage and information sharing are simple and faster. We propose the architecture that guarantees the personal exchange of knowledge between patients and doctors through the SAS (storage aggregation server) by using asymmetric cryptography, the encoding technique. The random key enhances the security for the biomedical data of each patient. We introduce the concept of double-phase micro aggregation to restrict the intruder entities without the loss of information. We have derived that double phase multivariate micro aggregation properly and also the reduction of memory storage.Â Â
The Preprocessing for Predicting of Physical Activity Recognition
Authors: Muangsrinoon Sakchai , Boonbrahm Poonpong
Published: July 2024

This experiment examined the preprocessing for predicting of physical activity recognition model to access the relationship between time duration of sensors, the single tri-axial accelerometer, and fitness recognition (sitting, standing, walking, and running). The experimented with sixteen students (62.5% male and 37.5% female, age between eighteen through twenty-three year old) of the Informatics school at Walailak University. The authors had the experimental setup with the split dataset, 80% for training and testing, and 20% for validation, and repeated k-fold Cross-Validation (number=10, repeats=3) for resampling method to evaluate model performance for baseline models. When the authors measured modelâ€™s performance, the authors found the follows results. First â€“ the raw dataset with 123,156 samples, the best models performance has accuracy level with KNN: k-Nearest Neighbor and RF: Random Forest is 100%. Second â€“ the aggregate dataset time duration 1 second with 1,240 samples, the best models performance has accuracy level with RF: Random Forest is 100%.Third â€“ the aggregate dataset time duration 5 seconds with 251 samples, the best models performance has accuracy level with RF: Random Forest is 99.5%. Fourth â€“ the aggregate dataset time duration 10 seconds with 128 samples, the best models performance has accuracy level with KNN: k-Nearest Neighbor is 96.82%. Fifth â€“ the aggregate dataset time duration 15 seconds with 86 samples, the best models performance has accuracy level with KNN: k-Nearest Neighbor is 96. 21%.Sixth â€“ the aggregate dataset time duration 20 seconds with 66 samples, the best models performance has accuracy level with LDA: Linear Discriminant Analysis is 98%.Seventh â€“ the aggregate dataset time duration 25 seconds with 54 samples, the best models performance has accuracy level with KNN: k-Nearest Neighbor is 96.33%. Moreover, finally, Eight â€“ the aggregate dataset time duration 30 seconds with 46 samples, the best models performance has accuracy level with KNN: k-Nearest Neighbor is 93.61%. In the future work, the authors planned to get more accuracy model by adding more features from another sensor, heart rate. Mining data collected from sensors provide valuable result in the physical activity recognition area. The improvement in performance is required especially in the healthcare field. The more increasing of using the wearable device, the wider opportunity in the data mining research area can be.Â Â
Energy Conservation and Controlling Co2 Emission using WEC Algorithm in Datacenters
Authors: T Sangeetha , T Sujatha
Published: July 2024

Around the global, extended dryness threatens the reliable electricity production which is critical for data center operations. Therefore the quantity of water consumed by the data centers is been increasing day by day ultimately leading to more CO2 emission which forms the major environmental threat. Hence, there arises a necessity of a load balancing factor with optimized time complexity for electricity production. To achieve this, an energy and workload management algorithm called WEC is proposed. This algorithm reduces the data centers long-term water consumption and dynamically dispatches the workload among distributed data centers. This algorithm also aims at reducing CO2 emission and time taken to complete the work.Â
Remote Code Execution in Web Applications
Authors: Keerthika T. , Adithyan A. , Balaji S. , J Lunia Mukulraj
Published: July 2024

Despite having dedicated applications for different operating system, web application is the most common interface accessed by all the devices. Web application security is an indispensible factor in todayâ€™s cyber world. Because of the robust resource available on Internet regarding web development, anyone today can develop a website even with zero coding skills. More than developing a perfect website, maintaining the security has become the prime goal today. Huge data breach in companies resulted due to a small security loophole in their website. Even a minor Cross Site Scripting (XSS) bug may lead to the whole server compromise depending upon the attacker who knows how to convert a simple bug into a disaster. Remote Code Execution (RCE) is one of the critical vulnerability that arises due to the unsafe handling of inputs by the server application. This vulnerability arises under various conditions that include but not limited to unsafe deserialization, XML External Entity attack, Server Side Request Forgery and Server Side Template Injection.Â Â
Predictive Model for Successful Product Mix in Trade Outlets using Genetic Algorithm and Association Rule Mining
Authors: V.Ramalingam V. , Jha Viplav Vijay , Pandian A.
Published: July 2024

Supermarket chains seem to be have a humongous amount of data. Aprioi algorithm is considered to be the classic way to create associations in the data and create power combination of products that would occupy a particular shelf and area. This algorithm employs the greedy method to create meaningful associations between data. This mechanism, however , has a very high time complexity. Its time complexity is linearly proportional to the product of number of transactionsÂ Â  and the average number of products bought per transaction, thus creating computations that can only be solved in polynomial time when compared to the logarithmic-time complexity algorithm which we employ in this paper.Â Â
Design a Glitch Tolerant Adiabatic Dynamic Logic Circuits for Cryptography
Authors: Naga Ganesh A. , Cholines Pedapudi Michael , V. Apparao N. , . .
Published: July 2024

Adiabatic logic design is an efficient superconductor logic which performs adiabatic switching operation. The Adiabatic logic is the most essential part of the variable latency design.Â  The design of conventional CMOS logic circuit depends on the charging of output capacitive nodes. Here a glitch tolerant adiabatic design logic is proposed. For stumpy power applications, although there are many â€˜techniquesâ€™ mutually at way level and system stage. To reduce the power consumption, the charging of capacitive nodes should process the operating part in slow manner.Â  From this it can observe that it takes less amount of energy to charge the capacitive nodes. Several Adiabatic designs have been proposed in literature. Most of them achieve significant power savings in comparison to conventional circuits. From the proposed glitch tolerant logic design it can observe that by performing adiabatic switching operations there is a reduction in dynamic energy dissipation. To minimize this switching power we use a factoring technique in adiabatic logic. The main drawback is that it uses junction diodes for controlling the charging and discharging of output nodal capacitance. Junction diodes are difficult to fabricate in a CMOS process. From this it can observe that the compared to existed system proposed system gives effective results.Â Â
Design a High Speed Parallel Prefix Adder using Generator and Propagator
Authors: Lakshminarayana Gajula , A.Deshpande Anupama , Gurunadha Babu Moparthy
Published: July 2024

Basically, Adders are used in VLSI designs. The chip packaging techniques are used in low power circuits which increases the design cost. Here a parallel prefix adder is proposed which is a rudimentary purposeful element in greatest computational stages and produces high performance. Parallel prefix adder is mostly classified hooked on3phases which areÂ  pre-computation, precede thenÂ  postÂ  subtraction.Â  While operating in the sub-threshold regime the proposed system gives effective results. In parallel prefix adder the addition process is done by adding the bits in parallel. The speed of parallel operation decides the computational operation. The Parallel prefix adder is used to avoid the high power consumption obtained in the system. Parallel prefix adder are derivativeÂ after the transmit appearance ahead adders. The delay gets reduced by achieving low logical depth in the system.Â  So the Proposed Adder reduces the delay. Compared to wave carry adding machine besides convey except calculator, similar preface adder gives better results. It is implemented on Xilinx 14.7 and delay measurements are done.Â Â
Fishbone Methodology: An Improved Goal-Oriented Framework for Requirements Engineering
Authors: Bano Jameela , S. S. Reddy L. , Khammari Hedi
Published: July 2024

Goals are a reasonable system intended for recognizing, arranging and mitigating software supplies. The word Goal is continuously used in Requirement Engineering (RE). Ended the historical ten years, the supplies manufacturing (RE) society consumes constantly extended hers acceptance then version of goal-oriented methods to equally useful and non-functional supplies (NFRs). Goal-Oriented obligation engineering (GORE) gives an imperceptible method aimed at elicitation, investigation, clarification & modification, pattern and modeling of requirements. Different methods of G.O.R.E are exists for these processes of requirement engineering based on confident underlying concepts and principles. Founded on our literature appraisal, we recognize that prevailing penalty area concerned with requirement elicitation procedure do not sustain to prioritize the supplies when the stakeholders view are frequently unclear and contain ambiguity. Therefore, we presented improved goal-oriented Approach called Fishbone Methodology for requirement engineering in this paper. The objective of this research article is to understand the needs of stakeholders and accordingly provide services to develop the increments of RE processes which results in building a prototype model of the software. We talk about goalmouths after the viewpoint of 2 themes: goal inspection and goal progression. Finally, our proposed method provides appropriate representation mechanisms to enhance stakeholder comprehension and facilitate communication between analysts and stakeholders.Â Â
Fuzzy Rules Base System for Early Self-Diagnosis of Dengue Symptoms
Authors: Azura Husin Nor , Saleh Naseer Al-Harogi Akram , Mustapha Norwati , Hamdan Hazlina , Amalina Husin Ummi
Published: July 2024

Dengue has become rapidly expanding and significant public health problem in tropical and subtropical regions. In severe cases, people infected with dengue may experience severe bleeding, shock and death. Thus, increasing dengue fever (DF) can be very serious, potentially life threatening and becoming global threat. Therefore, this research aimed to develop an accurate model that could better detect early signs and symptoms of dengue fever and develop a practical system for self-notification of the disease. Two techniques were applied to provide early self-notification to the patients namely the fuzzy expert system and data mining technique. The rules of dengue diagnosis are developed based on an interview with a medical doctor and those rules will be applied in an expert system using a fuzzy logic. However, before applying the extracted rules, the accuracy of rules was tested by data mining tool. This research applies the methodology to dengue related-data from a hospital and compares the rules to the training dataset by Multilayer Perceptron network. Furthermore, the finding showed that the accuracy of result for self-diagnosis of dengue symptoms produce a reliable result.Â Â
Investigating the Relations between Social Influence, Userâ€™s Attitudes and Behavioural Intention in a Persuasive Website Environment
Authors: Ibrahim Nurulhuda , Fairuz Shiratuddin Mohd , Wai Wong Kok
Published: July 2024

In an online environment, visual design plays an important role in influencing web users' impression of a website. Previous research has clarified that different elements of visual design stir up dissimilar impacts towards the end-users. This paper investigates the impact of persuasive visual towards users' attitudes and behaviours. Specifically, it examines the critical roles of social influence in the form of visual persuasion in motivating users to have a favourable impression of a particular website. Survey data was collected in an experimental study that was conducted online. Structural model assessment is carried out using confirmatory factor analysis (CFA) in conjunction with PLS-SEM analyses. The general analysis of model fit indicates that the two models proposed in this paper surpassed the cut off values for model acceptance with most of the model fit criteria reflects outstanding explanatory power. The findings offer new insights into the role of visual persuasion in web design with respect to the relationships between social influence, users' attitudes, and intentional behaviour.Â Â
Fuzzy with PID based Sensorless Brushless DC Motor Control
Authors: Bagavathy S. , Maruthupandi P. , Sheebarani S. , . Radhika , Rani N Ramya
Published: July 2024

In this Work, the controller with fuzzy and PID used to execute the speed calculation of a brushless dc motor. The proposed strategy is basic and solid. Amid regenerative braking mode, it saves energy in a rechargeable battery. The proposed controller is coordinated utilizing the fuzzy logic toolbox in MATLAB. The work proposes the idea of fuzzy with PID controller for controlling the speed of BLDC motor. The goals of the undertaking are to analyze the execution of PI and the proposed fuzzy with PID controllers utilizing MATLAB software for the controlling the speed of BLDC motor. The executions of the two controllers are compared based on different control framework time domain parameters. Simulation consequences of the two controllers have been exhibited and it is discovered that the control idea with fuzzy with Â PID controller outflanks customary controller in a large portion of the angles.Â Â
Machine Learning Techniques on Liver Disease - A Survey
Authors: V. Ramalingamdran V. , Pandian A. , Ragaven R.
Published: July 2024

A Liver infection causing Chronic Hepatitis B virus affects around 257 million people around the globe. About one million people who are infected from chronic infections like HBV die from chronic liver disease. Along these lines, there is a solid requirement for effective, exact and practical framework to foresee the result of such infection. It will be helpful in taking precaution steps and proper treatment. Machine learning assumes an essential job in restorative industry. Experts in machine learning today can guarantee an accurate and definite diagnosis and analysis of disease.Â  Machine learning methodologies have been approached on various liver disease related datasets to predict outcome result. Machine learning calculations are exceptionally useful in giving essential measurements, continuous information, and progressed examination regarding the patients' illness, "lab test results, circulatory strain, family history, clinical preliminary information, and more to" specialists. Motivation behind this paper is to give an overview on relative survey on machine learning techniques that has been used on various liver disease datasets.Â Â
Privacy Protection of VLSI Circuits through High Level Transformation based Obfuscation
Authors: Anjum Farha , Lliyas Mohammad
Published: July 2024

This paper focuses on â€œsemiconductor manufacturing obliges greater capital investments, the utilization for contract foundries need developed dramatically, expanding exposure to robbery and unapproved overabundance generation. A significant number of exercises demonstrated that IC piracy has currently turned into a real challenge for the electronics and defense industries. In this manuscript we displays a new approach to configure complicated circuits for digital signal processing (DSP) provisions utilizing high-level transformations, a key-based obfuscating finite-state machine (FSM), and a reconfiguration. The aim is to design DSP circuits, which would harder to reverse engineer. With a few modes for operations for obfuscation where the outputs are expressive from a signal processing point for view, however are functionally inaccurate to preferred perplexity. The design information controls different mode of the circuit process and useful obfuscation will be refined with the utilization of the correct initialization key. Structural obfuscation will be also attained by the recommended procedure through high-level transformations. The effectiveness of suggested procedure will be checked with FIR configuration strong high level obfuscation may be demonstrated and investigated for different key sizesâ€.Â Â
Smart Embedded Device for Object and Text Recognition through Real Time Video Using Raspberry PI
Authors: Anil Kumar B. , Praneeth Chowdary T. , Govinda Rao T.
Published: July 2024

Object recognition, text recognition, face recognition, navigation is a challenging problem in real world scenario particularly in developing advanced technology to assist for people. The complexity of recognition for a system is difficult because of having the objects and texts are having variations in sizes, shapes, mixed with complex backgrounds and having different lighting condition.We proposed a smart embedded device that consists of five switches to recognize objects and text information from videos, images, documents and pdf files. For recognizing the object, the image data is captured by using pi camera and is processed on Raspberry pi by using SSD method for detecting objects in captured data by a single deep neural network to provide a fixed size bunch of bounding boxes and scores for the presence of object class instances in those boxes.By combining MobileNets architecture with the single shot detector framework the prediction of accuracy in detecting object is more and fast. The text information from videos are recognized by extracting a best frame using Laplacian method and performs pre-processing on the frame by applying noise removal methods. Thresholding methods are applied to improve the lucidity of the text area and Grab-cut approach is used to eliminate the unwanted backgrounds. The frame is then given to the OCR to extract the text information and was given to TTS converter to convert the text output into speech from to assist users easily.Â Â Â
An Efficient Makespan Model for Hybrid Dual Parallel Computing Framework
Authors: Banu Wahida , N Nandini
Published: July 2024

MapReduce (MR) is the most widely adopted and used computing platform for processing complex scientific and data intensive application. Hadoop MapReduce (HMR) is widely used MR framework across various organization due to its open source nature. Cloud service provider (CSP) such Azure HDInsight offers computing resources to its user and only pays for their use. MapReduce framework currently been used are not efficient due to sequential computing of Map and Reduce phase. As a result, incurs higher computing cost and exhibit underutilization of cloud resources. Minimizing cost of execution on such platform is most desired. To overcome research challenges, this work firstly present Hybrid Dual Parallel Computing (HDPC) framework. HDPC offers parallel computation of Map and Reduce phase. To further enhance resource utilization parallel execution of map and reduce operation is carried out considering multi-core environments available with virtual computing workers. Lastly, this work presented job makespan/execution model and working structure of HDPC framework. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering stream and non-stream application to evaluate performance of HDPC framework over existing computing model. The outcome shows significant performance improvement in terms of execution time. Overall good correlation is seen among practical execution and theoretical execution outcome shows proposed HDPC framework is robust, scalable, cost efficient and support dynamic analysis on cloud computing environment.Â Â Â
Evaluation for an Application for iPhone and iPad: NCT Buses App
Authors: Fauzi Najim Al-Shammari Rafeef , Mohammed Thabit A. Alsaadi Elham
Published: July 2024

NctBuses is a real time system that compute how long your bus will take to arrive for your bus stop in Nottingham city, the United Kingdom. It enables users to know when the next bus will arrive. The app counts down the minutes till your buss arrives at a particular bus stop. This paper aims to evaluate the usability and the collaboration aspects for users when they are using the app. It focuses on the main issues that facing users while utilizing this app in order to suggest recommendations to develop the usability of nctBuses in the future. The â€œField studyâ€ technique has been employed to evaluate the nctBuses Application as it is an effective method to assess the usability of such interactive systems. It helps researchers to observe the performance of users when they make use of the app. Moreover, this methodology enables researchers to have deep understanding by providing participants with a user satisfaction questionnaire. The participants that have been involved in the study are novice and expert in using the nctBuses Application. After that, the notes collected during the observation sessions have been analysed and the responses to the questionnaire have been compared. The results are analysed according to the â€œEight Golden Rules of Interface Designâ€; theory of Shneiderman and the â€œTen Usability Heuristicsâ€; theory of Nielsen. The evaluation and the analysing processes has declared the facilities of using the application. Moreover, the processes illustrate the issues in the usability of nctBuses Application. The result of the field study declares some issues that need to address in the nctbusees app to assist and enhance the software interface and performance.Â Â
Shear Strengthening of RC Beams with FRCM Technique
Authors: M.A. Kadhim Majid , Hadi Adheem Ali , Altaee Mohammed J
Published: July 2024

Nowadays, utilizationof Fibre Reinforced Polymer (FRP) in rehabilitation and strengthening of Reinforced Concrete (RC) beams is commonly used with a proper type of epoxy. Fabric Reinforced Cementitious Material (FRCM) presentsan alternative technique instead of the traditional epoxy. This paper investigates the shear performance of RC beamsusing FRCM strengthening.Finite Element method was adopted in modelingthe FRCM strengtheningfor RC beams in shear using ANSYS software with nonlinear and 3D analysis. In the beginning, the FE model was verified through comparing with the tests in the literature in terms of load-mid span deflection response, ultimate load, strain readings of reinforcement at mid-spanand the mode of failure. It was found that the FE model was capable to capture the behavior of FRCM strengthened RC beams with a high level of accuracy. This validated model has been employed later in studying some of parameters which have a potential effecton efficiency of this technique such as concrete compressive strength, number of fiber layers, and the arrangement of the fiber. Generally, it was found that the concrete compressive with high strength has significant impact in increase the efficiencyof FRCM strengthening system.Â
Numerical Analysis of Continuous Dieless Wire Drawing Process
Authors: Jabbar Mohammed Rafid , Khalaf Ali Jaafar , Ahmed Nassar Ameen
Published: July 2024

Dieless wire/tube drawing process is a novel technique has been developed in the past four decades utilizing super plasticity phenomenon, in which, the wire/tube is locally heated to a specified temperature and then subsequently locally cooled so as to further deformation is suppressed. This process is carried out without using the conventional drawing dies. A stainless steel SUS304 wire, 2mm diameter was used in this analysis. A coupled thermo-mechanical model has been developed and verified numerically. The thermal model was constructed to predict the temperature profile longitudinally along z-axis. As soon as the temperature distribution is obtained then the mechanical model was ready to predict the radius profile of the wire until the desired radius after deformation is satisfied. The effects of feeding velocity of the wire, heating coil length, cooling nozzle diameter, the distance between heating and cooling coils and redial distance which is affected by cooling air on temperature and radius profiles of the wire were considered here. Also, a symmetrical and asymmetrical distribution of the heat transfer coefficient for the wire cooling was also proposed in this study. The results showed that above parameters had important effects on temperature distribution and thus on radius profile of the drawn wire. Moreover, the symmetrical mode of heat transfer coefficient led to more stable for the temperature profile than asymmetrical mode. Consequently, to achieve more stability of this process, the above parameters must be determined accurately.Â Â Â
Optimization of Manufacturing Parameters Affecting on Characterization of Porous Sintered Tin-Bronze Alloy
Authors: Al-Ethari Haydar , H. Haleem Ali , I. Ali Osamah
Published: July 2024

Porous sintered bronze alloy has widespread applications in various engineering fields such as filtration systems, self-lubricating bearings, fluid flow control, heat exchanger ..etc. In this paper, powder metallurgy technique using NaCl particles high purity (99.5%) as a space holder (pore-forming agent) was employed to produce a rigid porous structure . The paper aimed at studying Â and identifying the effect of manufacturing parameters (NaCl wt. %, compacting Â pressure, sintering temperature and sintering duration) on the characteristics of porous tin-bronze alloy . AccordingÂ  toÂ  Response Surface MethodologyÂ  analysis a multi-optimizationÂ  methodÂ  based onÂ  desirability function used to obtain the optimum process conditions that can be used inÂ  manufacturingÂ  ofÂ  porous sintered tin-bronze structure. These optimum conditions were: (35.36 wt.%NaCl), (40 MPa) compacting pressure , sintering temperature of (193.5 oC) and sintering time of (180 min)Â  to get maximum porosity of (66.32 %) , permeability coefficient of (2.96*10-3 cm/min.) and micro-hardness of (57.12 Hv).Â Â
Isolation of Vibration Induced in Drive Type Voith Schneider Propeller due to Rotation of Cycloidal Drive
Authors: Karim Mohsen Kadim , Abdalameer Bargash Reem
Published: July 2024

In this paper experimental modal testing was present for propulsion drive type Voith Schneider Propeller, deconvolutionÂ used to decrease the effect of vibration stresses generated by the rotation of cycloidal drive (Voith Schneider Propeller) especially the sing phenomenon also reduce the effect of vibrational critical speeds and to avoiding matching between the frequencies of ship hull and equipment and propeller frequencies with frequency of rotational torque. Reach the reason zone over the maximum velocity by controlling the variables with high accuracy. Experimental testing of Voith Schneider Propeller without structural damping shows a rise in vibration more than in the case of structural damping. When comparing the angles of the blades propeller Â and , it was concluded that when the blades propeller Â is the highest vibration of . The reason for this is because angle Â forces are analyzed into two vertical and horizontal components. Predictive deconvolutionÂ whichÂ is a filtering process which removes a wavelet from the recorded seismic trace by reversing the process of convolution. Suppresses multiple reflections and optionally alters the spectrum of the input data to increase resolution. The commonest way to perform deconvolution is to design aÂ Wiener filterÂ to transform one wavelet into another wavelet in a least-squares sense. By far the most important application is predictive deconvolution in which a repeating signalGood results lead for precise, safe and efficient maneuvering.Â
Transient Stability Optimization based on increasing the Critical Clearing Time using Particle Swarm Optimization
Authors: Tawfeeq Al-Bahrani Layth , . .
Published: July 2024

Transient stability Analysis under fault condition is one of the most important concept for a secure and reliable power system operation. Any delay time to cleared the fault and remove the line may be caused the system unstable. Increasing the clearing timetc leads to increase the rotor angle of the generator and go towards the instability system. The clearing time before the system become unstable is called the critical clearing time tcc. This article design a new architecture algorithm to improve the transient stability of the system under fault condition by increase the critical clearing time without adding any external dives. An artificial intelligence technique of Particle Swarm Optimization PSO has been used for this purpose. PSO technique minimize the maximum rotor angle of the generator according to optimize the control variable of the system such as the magnitude voltage of the generator. A load flow analysis based on Newton Raphson method has been used for the pre fault calculation. The two state equations for both during and post fault cases are solved using the modified Euler method to calculate the rotor angle of the generators. Different cases of clearing time are tested in this article to specified the system stability and access to the critical clearing time. The propose algorithm has been applied on the IEEE 9 bus system. This algorithm improve the system transient stability by increasing the critical clearing time by 28%. The propose algorithm are programming by author using matlab software.Â Â
Events Tagging in Twitter Using Twitter Latent Dirichlet Allocation
Authors: A. Al-Sultany Ghaidaa , J. Aleqabie Hiba
Published: July 2024

Twitter has become a great platform to publish and carrying news, advisements, events, topics and even daily events in our lives. Twitter Post has limitations on the length and noise. These limitations make that the post is unsuitable for topic modeling due to sparsity.Â Â In this paper, Twitter Latent Dirichlet allocation (TLDA) methodÂ for topics modeling was applied to overcome the sparsity problem of tweets modeling. Many steps were implemented for eventÂ tagging on Twitter. First: construct aÂ datasetÂ by hashtag pooling technique, and then theÂ preprocessingÂ was performed to extract the features.Â  Secondly, find the suitable number of topics through Perplexity criterion, then,Â the topics are labeled by WordNet lexicon.Â Finally,Â events are tagging using Pricewise Mutual Information (PMI) criterion.Â The dataset is constructed about various topics including the American elections, Football world cup 2018, and a natural phenomenon and many others; the number of tweets is 63458. This study shows good results in training tweets dataset.Â
On human to artificial neural network in maintenance applications
Authors: Ozor P. , O. Onyegegbu S. , C. Agunwamba J. , Mbohwa C.
Published: July 2024

Maintenance is key to meeting sustainability and productivity expectations of repairable industrial systems. The upsurge of growth in complexity of processing equipment has since raised the maintenance function beyond the comprehension of human neural networks, thereby necessitating recourse to artificial intelligence techniques. The nexus between human neural network and artificial neural network was x-rayed in this paper. Attempt was made to present the foundations of artificial neural network modeling techniques and the major contributors to the development of the field. Some of the terminologies associated with human and artificial neural networks were defined and explained with relevant figures. The capability of artificial neural network in predicting the reliability of a case study industrial system, with data taken from a beverage company was illustrated. The two-layer network has one input and output layer apiece, as well as a hidden layer of twenty neurons. The architecture is a feed forward back propagation neural network, while the Levemberg-Marquart training algorithm was employed. It was observed that reliability predictions obtained from ANN model proved very good, considering the very low values of MSE (1.0256X10-3) and high value of the regression (0.998742).Â Â
Flexure behaviour of foamed concrete incorporating BSP and POFA strengthened with CFRP
Authors: Aziz Khalidah , Mohamad Noridah , Tahir Lakhiar Muhammad , A. A. Samad A. , Jusoh Suriani , Sofia Anis
Published: July 2024

This paper investigated the flexural behavior of lightweight foamed concrete (LFC) incorporating banana skin powder (BSP) and palm oil fuel ash (POFA), strengthened with carbon fiber reinforce polymer (CFRP) plate. The BSP and POFA are added in the LFC mixture at various percentages as cement and sand replacement, respectively. LFC cubes incorporating BSP and POFA, LFC-BSP-POFA, were cast and tested under compression to determine its compressive strength. LFC-BSP-POFA prisms strengthened with 100 mm and 150 mm length of CFRP plates glued on its bottom mid-span surface were cast and tested under four point bending load to determine its flexure behaviour. From the results obtained, compressive and flexural strength increased when percentages of BSP and POFA incorporated in the LFC increased. Meanwhile, CFRP plate managed to strengthen the LFC prism further where higher ultimate load recorded when longer CFRP plate was used.Â
A model to simulate passenger flow congestion in airport environment
Authors: S. Alodhaibi Sultan , L. Burdett Robert , Kdv. Yarlagadda Prasad
Published: July 2024

The global air transport industry is expanding rapidly. New approaches to airport management are required to ensure that ever-increasing consumer demand is met with adequate developments of ground operational and processing facilities; particularly those related to effective and safe processing of passenger flows. The solution to this problem requires, development of a new generation of fast, reliable, decision-making tools to quickly mobilise the human and technical resources available at modern airports. Opera-tional research aimed at developing novel airport optimization simulations to empower efficient management decisions is therefore a rapidly advancing field. The research conducted in this study highlighted the improvements to be made for better passenger flow modelling in airport environment. These models can be classified as either â€˜analyticalâ€™, â€˜simulationâ€™, or â€˜hybridâ€™ models, giving decision support capabilities at all levels of detail: from macroscopic, through mesoscopic, to microscopic. However, despite the current developments in understanding passenger flow, the literature suggests that an aggregate model, integrating both outbound and inbound processes, is still needed. The main aim of this research is to develop a generic, holistic simulation model that can optimise passenger flow that can be adopted in any airport environment. Included in this are major outbound and inbound processes such as check-in, security screening, and immigration. The model supports what-if and trade-off analyses by inclusion of a problem-oriented approach.
Satellite network underlying LMS for coverage and performance enhancement
Authors: Najdet Nasret Coran Ali , Shakor Mahmood Zuhair , B. Salih Arshad
Published: July 2024

Facilitating the process of learning in real life by employing of available communication techniques (mostly by internet) is termed as E-learning. With time advance, education of today developed with more publicity so then, students from remote venues are get-ting access to their course of interest even though far once of courses, with such capability of education, students start searching the interested courses and teaching style as well, that raised a new concern to be applied into classical methods of educations. Rural and remote regions can be provided with quality education through E-learning; the same is proposed in this article to connect stu-dent with remote lecturers and tutors effectively.Â Â Â
Spectrum sensing algorithm using ANN in cognitive radio
Authors: Esam Kamal Ayoub , B. Salih Arshad , Najdet Nasret Coran Ali
Published: July 2024

Studies of cognitive radio context raised major challenges about assigning SUs into licensed bands. Such challenges stand for time more likely, when the SU begins transmission and when it terminates the transmission? Asking this question implies that SU may limit the transmission in contrast with PU activity. In this paper, we propose a method for predicting the behaviors of PU during a particular period of time. This method reflects the schedule of spectrum utilization by PU. Time information can be directed thereafter to spectrum sharing paradigms. Artificial Neural Network is used predict the channel status and provide the information to SUs control station where interference with PUs can be averted.Â Â Â Â
Design of TCM decoder for accurate detection on AWGN and Rayleigh environments
Authors: B.Salih Arshad , Esam Kamal Ayoub , Shakor Mahmood Zuhair
Published: July 2024

Wireless communications are made an expanded growth during the last decade. Channel is importantly considerable in communication studies where signals are fading and attenuated due to channel disturbances. Todayâ€™s technologies are completely relying on digital signals by adapting devices which understand only digital representation of data. Such techniques shrink the energy required to operate the devices and reduced the cost of deploying such systems in personal and industrial fields. Encryption of data and preparing the signal with good immunity for noise are the main subjects in this paper. Design of Trellis Coding Modulation (TCM) where digital signal can be encoded and modulated at the same paradigm will be illustrated. Decoder of TCM will be deigned to retrieve the original transmitted signal over AWGN and Rayleigh channel with minimum error.Â
Impact of multifarious design architectures of convolutional encoders on efficiency of O-IDMA at zero dispersion wavelength
Authors: Prakash Ravi , Kumar Maurya Ajay
Published: July 2024

Optical interleave division multiple access is a protrusive, obvious and flashy technology used in modern era mobile and wireless systems. Inter-leavers play a major role for estimating the performance of OIDMA system. In present article tree and random inter-leavers are incorporated in OIDMA system one by one and their qualitative comparison has been evaluated. Low rate convolutional encoders having various design topologies by varying number of adders and memory elements are used in coding section. Due to multifarious design architecture of encoders hamming distance ( ) alters for each case. Those architectures which has maximum will produces minimum BER (bit error rate). In present paper that optimum architecture which produces minimum BER has been determined for both tree and random Â Â Â inter-leaver cases.Â  Â Â
Next generation of e-learning through the effective usage of cloud computing services
Authors: Kurian Ashly , D Peter Augustine Dr.
Published: July 2024

Cloud Computing is an essential technology intruded in almost all areas where information technology is used. One of the major areas which require Cloud Computing is the Higher Education System where broad and in-depth knowledge and right guidance are highly demanded. Providing such teaching services has also impediments in the traditional education system where cloud computing plays a vital role in a new technology-based educational ecosystem. In this paper, we bring out the advantages of cloud computing to overcome the barriers by providing a new framework of cloud-based e-learning for higher education. Meanwhile, we keep in mind that the use of the system is very much needed for developing countries like India. Using cloud computing in educational institutions can create a common virtual classroom thereby reducing the expenses and the manpower required to install a well-equipped platform. The proposed model facilitates the students and the faculty can access the content 24/7 and also improve the educational performance. This model comes up with cloud system features and with specified cloud services for each purpose. It facilitates the cloud system to perform the services such as PaaS, DBaaS, SaaS, CaaS, and RDaaS for some service components in API. Each of this service has its own functions through the Hy-pervisor.Â Â
Distribution system reliability enhancement by using grid upgrading technology
Authors: Rashid Zaidan Majeed
Published: July 2024

Losses are essential threat to power system reliability and worthiness; such disturbances are raised form generation plants until destination and end users. Power loss due to load variation is studied in this paper when radial distribution system is considerable; load is arranging among feed-forward nodes and hence losses may be developed due to overload in any particular node. As the radial system is involved, any changing of network topology yields a noticeable improvement on reliability. More topologies are resulted by changing the feeder switching status. IEEE 16 bus-bar radially structured distribution grid is investigated using Matlab software. Results shown that optimum reliability is achieved when node 2, node 4 and node 15 are closed. So far this topology is active, power loss is minimized and voltage profile is improved as compared to seven iterations of different topologies.Â Â