bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge Driven HealthCare Decision Support System using Distributed Data Mining
Authors: Kavitha P. T. , Sasipraba T.
Published: June 2023

This paper focuses on a web based decision support system which is based on distributed data mining and designed for the healthcare industry. Innumerable Decision Support Systems are prevailing in the market to cater the needs of the various industries based on various purposes. The importance of any Decision Support System resides on the quality of information it provides compared to other information system which leads to take effective decision making. As most of the records in the healthcare industry are maintained manually, the use of Electronic Health Records is introduced recently which will enable the user to have a clear idea about the service he/she wants to utilize. Since it takes a lot of time to retrieve the information from the manually maintained records, use of Electronic Health Records plays a major role in the Healthcare industry. The present Decision Support Systems concentrate on the administration part of the Healthcare industry; their features support the physical practitioner, nurses, pharmacists, administrative personnel. The patients who are the main players in the healthcare industry are mainly concentrated for mapping their behaviour, and whether they will come back to the health care service provider again or not. The decision system which is presented here gives much importance for the patients and will be acting as a framework which can be included in the services provided by the hospitals. The feedback of the patients can rank the healthcare service provider and to improve the quality of their service.
Peg Free Multi-Dimensional Palmprint Feature Extraction Using Hybrid Level Fusion Strategy
Authors: Mathivanan B. , Sridevi P. , Selvarajan S.
Published: June 2023

This paper presents a new personal authentication system that simultaneously exploits 2D and 3D palm print and geometrical features of the hand. The geometrical features are obtained from the binaries images by using Otsu’s threshold technique. Multimodal (2-D and 3D) palm print and hand geometry features, which are simultaneously extracted from the user’s textured 2-D and 3-D hand, are used for matching. Individual matching scores are then combined using a new Hybrid level fusion strategy. The objective of this work is to improve accuracy and robustness of existing palm print authentication systems using combination of the 2D and 3D palm print features. A peg-free system is composed by a pc and camera. The users put the hand in free space in front of the camera. The hand is illuminated by an infra- red light to solve segmentation problems in a real environment. The surface curvature feature based method is investigated for Gabor feature based competitive coding scheme is used for 2D representation. The database of 120 subjects achieved significant improvement in performance with the integration of 2D and 3D palm print and hand geometry features. Such as those mounted on a laptop, mobile device, and web camera or those for surveillance, can dramatically increase the applicability of such a system. However, the performance of existing techniques for palm print authentication falls considerably, when the camera is not aligned with the surface of the palm. The experimental results also suggest that the Hybrid level fusion approach employed in this work helps to achieve the performance improvement of 70% (in terms of EER) over the case when matching scores are combined using the Dynamic fusion approach.
Fashions in Data Mining and Hidden Knowledge Innovation from Clinical Database
Authors: Thangarasu Gunasekar , Dominic P.D.D. , Johnwiselin M. C. , Pradeep Kumar S. P.
Published: June 2023

Data Mining and Hidden Knowledge Innovation (DMHKI) is one of the fast growing computer science fields. Its reputation is caused by an increased demand for tools that help with the analysis and understanding of huge amounts of data in Clinical Database. Such data are generated on a daily basis by Hospitals. This explosion came into being through the ever increasing use of computers, scanners, digital cameras, bar codes, etc. We are in a situation when rich sources of data, stored in databases, warehouses, and other data repositories, are readily available. This in turn causes big interest of medicalsocieties in the field of DMHKI. What is needed is a clear and simple methodology for extracting the knowledge that is hidden in the database. In this chapter, an integrated DMHKI process model based on the emerging technologies like XML, PMML, SOAP, UDDI, and OLE BD-DM is introduced. These technologies help designing flexible, semi-automated, and easy to use DMHKI model. They enable the building of knowledge repositories. They allow for communication between several data mining tools, databases and knowledge repositories. They also enable integration and automation of DMHKI tasks. The Journal describes a Seven-step DMHKI process model, the above mentioned technologies, and their implementation details.
Heterogeneous Record Linkage Using CAA
Authors: Kumaresan K.
Published: June 2023

Record linkage is a scheme to retrieve the related data’s from more than one table which are not in the same structure and not reside in the same places. Matching techniques facing following problems, (1) no common attribute to match Records between the data tables. (2) Record linkage in online is not an efficient and which provide traffic and may some connectivity failures will occur. (3) Previous techniques will not concentrate on unduplicated error Record (spelling mistakes). Using CAA (Concurrent Attribute Acquisition) and UGK (User Generated Key) approach not all the attributes of the entire remote attribute Records are taken into local site [LS]. Rather only the related attribute Records are taken into LS. So the communication traffic is reduced. Then Local Entity [LE] will be compared with each other Downloaded Remote table Records. Traditional Blocking (Group the record which have relationship from the Data set) to identify the required Records. Misspelled original Record also identified. After this process related Record identified with their identifier and table information. Insert this information on the new table [NT]. Publish NT as a global access Databases.
Knowledge Driven HealthCare Decision Support System using Distributed Data Mining
Authors: Kavitha P. T. , Sasipraba T.
Published: June 2023

This paper focuses on a web based decision support system which is based on distributed data mining and designed for the healthcare industry. Innumerable Decision Support Systems are prevailing in the market to cater the needs of the various industries based on various purposes. The importance of any Decision Support System resides on the quality of information it provides compared to other information system which leads to take effective decision making. As most of the records in the healthcare industry are maintained manually, the use of Electronic Health Records is introduced recently which will enable the user to have a clear idea about the service he/ she wants to utilize. Since it takes a lot of time to retrieve the information from the manually maintained records, use of Electronic Health Records plays a major role in the Healthcare industry. The present Decision Support Systems concentrate on the administration part of the Healthcare industry, their features support the physical practitioner, nurses, pharmacists, administrative personnel. The patients who are the main players in the healthcare industry are mainly concentrated for mapping their behaviour, and whether they will come back to the health care service provider again or not. The decision system which is presented here gives much importance for the patients and will be acting as a framework which can be included in the services provided by the hospitals. The feedback of the patients can rank the healthcare service provider and to improve the quality of their service.
Multimedia Data Mining and its Integration in Information Sector and Foundation: An Overview
Authors: Paul Prantosh K. , Shivraj K. S.
Published: June 2023

Information and Communication Technologies are one of the important component and toll. Virtually, the advent of Electronic resources and similar foundation use in Information Foundation and similar foundation has brought about significant changes in storage and communication of information. Data mining process consist of several process and stages, which are related to each other and interactive. This is the way of mining or extraction of data from the Database or Dataset. Extraction of Data with multimedia nature such as audio, video, images, text may be called as Multimedia Data Mining. In Information Foundation, Data Mining has wonderful role and importance. This paper is talks about Multimedia Information and Data Mining and its characteristics. Paper also talks about role and need of Multimedia Data Mining in Information and Similar Foundation.
A Pathological Voices Assessment Using Classification
Authors: Arikrishnan T. , Darani C. P.
Published: June 2023

The diagnosing of pathological voice may be a tedious topic and it receives abundant attention. There are several diseases that adversely have an effect on our human speech (voice). The doctor will use only the equipments for detection of pathological voice. However, it is invasive and needs a skilled analysis of diverse human speech signal parameters. Automatic voice analysis for pathological speech has its own blessings, like 1)its quantitative and non-invasive nature. 2) permitting the identification and observance of vocal system diseases . Within the pathological voice classification techniques gathered by the voice of a patient, the goal is to discriminate whether the given voice is normal or pathological. From the speech Mel- Frequency Cepstral Coefficients (MFCC) has been extracted from the voice information and classified into two categories. However, the accuracy of the earlier classification methodology may need additional improvement. In my project work, Support Vector Machine (SVM) classifier is used for pathological voice classification with non-invasive nature to diagnose and analyze the voice of the patient.
Collaborative Security Framework for Service Based Systems: Issues and Solutions
Authors: Kamatchi R.
Published: June 2023

The Service oriented architecture is evolving as a new technology, which is currently adopted by many fields like Healthcare, Educational sector etc. It is highly adoptable with web services as an interoperable technology. There are various security mechanisms proposed for the individual security issues which works independently. This paper is providing a collaborative security framework for the implementation of Service Oriented Architecture with web services and analyzing its Security benefits .This paper adopts the Survey of concerning literature, Experience survey, Analysis of examples under the exploratory method as a research model to explore and develop a collaborative security model. The paper provides a complete security model which analyses the various conditions like no service availability, services with partial security services. This model also provides the security as service solution to the security requirement problem arises with the best match services. This collaborative model addresses the major security issues.
Design and Development in Research of Adaptive Multipath Routing for Burden Harmonizing in MANET
Authors: Ravichandran S. , Umamaheswari M.
Published: June 2023

In mobile ad hoc network (MANET), congestion is one of the most important limitations that affect the performance of the whole network. Multi-path routing protocol can balance and share the load better than the single path routing protocol in ad hoc networks, hereby reducing the congestion possibility by dividing the traffic in alternative paths. The performance of the network can be improved by using a burden harmonizing mechanism. Such a mechanism transfers load from overloaded nodes to under loaded nodes. The objective of multipath routing is to improve the reliability and throughput and favors burden harmonizing. Multipath routing allows the establishment of multiple paths between a pair of source and destinationnode. It is typically proposed in order to increase the reliability of data transmission or to provide burden harmonizing and has received more and more attentions. In this paper, some of the congestion removing and burden harmonizing routing schemes have been surveyed. The relative strengths and weaknesses of the protocols have also been studied which allow us to identify the areas for future research.
Cloud Computing: Concepts and Challenges
Authors: Gupta Anuj Kumar
Published: June 2023

In recent years, computing is being make over by a fresh representation, named as cloud computing, which refers to the hardware, software: both systems and application, that act as services over the Internet. Cloud computing is growing rapidly and gaining popularity because of reduced costs, quicker implementations, and enhanced flexibility. In this paper, a survey has been done on cloud computing with a major focus on its security issues. Concepts and challenges have been discussed which will give the researchers an idea about this latest emerging technology being tossed around in the world. This paper presents an overview of the cloud deployment models, the services they offer and cloud security issues and challenges of cloud computing in both data storage and virtual applications.
Intelligent Traffic Management by Synchronized Signalling
Authors: Bonthu Bhulakshmi , Vishal Narayanan A. , Jabanjalin Hilda J.
Published: June 2023

Traffic congestion is one of the major problems faced in our day-to-day life. The objective of this paper is to provide an innovative method to solve traffic congestion. In the present day scenario, there are numerous Traffic signals which delay the time taken to reach a destination. In order to overcome this problem, we need to synchronize the signals. The goal of this project is to develop a system which synchronizes the signals so that congestion is managed in better manner. Here, signals across neighboring junctions are synchronized in cooperative method and congestion will be cleared in accordance to the traffic density as well as direction of traffic flows. This paper also uses vehicle speed patterns to predict the traffic flow between two nearby junctions. The traffic flow patterns across all four directions will be analyzed and the same is mapped with various fuzzy rules. In accordance to such mapping, a relevant fuzzy rule will fire required module in real time traffic signal. Hence, the traffic congestion will be controlled in dynamic as well as adaptive manner. A vehicle should travel at a particular speed from one junction to another and we calculate the time limit for changing the signal based on that speed. The core objective of this paper is to provide a cost-effective way to manage the traffic and making hassle free driving.
Design and Development of Humiliating of C-Worm Utilizing an Arbitrary Visualizing
Authors: Ravichandran S. , Umamaheswari M.
Published: June 2023

A worm is a malicious self-replicating programs, it is intended to feast via computer links. The computer worms are one method of malware beside with Trojans and Viruses. The active worms impersonate main refuge threats to that an Internet. This is the ability of active worms to continuously propagate in the computers on the Internet as an automated fashion. The Active worms changes through their circulation, and thus, pose large tasks to preserve alongside them. This manuscript, to explore an original class of active worms, denoted to as Camouflaging Worm (Abbreviated to as C-Worm) respectively. The C-Worm means different from traditional worms because of its ability to intelligently manipulate its scan traffic size over time respectively. So, the C-Worm camouflages its circulation from prevailing worm detection systems constructed on investigating the circulation traffic produced by worms respectively. To analyze characteristics of the C- Worm and conduct a comprehensive comparison between its non-worm traffic and traffic respectively. To detect that these double kinds of traffic are barely different in the time sphere. Though, their difference is clear in the incidence sphere, due to the periodic devious environment of the C-Worm respectively. Interested by these clarifications, it designs a novel spectrum-constructed pattern to detect the C-Worm. This pattern consumes the Power Spectral Density (PSD) circulation of the scan traffic size and its corresponding Spectral Flatness Measure (SFM) respectively, to distinguish the C-Worm traffic from related traffic. Consuming a complete group of detection metrics and real-world suggestions as contextual traffic, it directs widespread implementation estimates on these planned spectrumconstructed detection pattern. This implementation data evidently establishes that this pattern can efficiently detect the C-Worm circulation. Besides, to display the simplification of this spectrum-based pattern in efficiently detecting not only the C-Worm, although conventional worms also.
Analysis of Distributed Packet Receiving in ADHOC Network Using Multicast Routing Protocol
Authors: Ganesh E. N.
Published: June 2023

The main purpose multicast routing protocol in MANET is to deliver the data to a group of receivers. Several researchers are proposed various multicast routing protocols to achieve the reliability and scalability in MANET. MANET suffers from high overhead and redundant data transmission due to multicasting. We propose a neural network based multicast routing protocol to overcome the highest overhead and delay thereby network life time and packet delivery ratio (PDR) are improved. This is achieved by identifying the probability of optimum forwarding group node based on the information augmented with the JOIN_QUERY packet. The performance evolution shows the proposed approach ensures the PDR and reducing the control overhead significantly.
Efficient Segmentation and Detection of Object in Complex and Crowded Scene
Authors: Bindu N. S. , Sheshadri H. S.
Published: June 2023

This paper intends to develop a technique to extract the moving object by using temporal differencing. Initially the stereo images are captured from vicon camera and the images are cropped as per the requirement. Next interested ROI is selected to extract the object is a particular scene. The noise that are present in the cropped images are removed with the help of filters. The objects are detected by considering height and occupancy of the object in a given scene. After obtaining the objects, morphological operations are applied and finally the objects are detected. It is applicable in verities of applications in real time.
Identifying Datasets by Pattern Recognition Techniques using Neural Networks
Authors: Sambana Bosubabu
Published: June 2023

The process of Pattern Recognition neural network is found to be an effective tool. Different combinations of neural networks are used for this technique. Earlier works are based on only back propagation network but the proposed work is based on the combination of Hopfield network and Back propagation network. The success rate for recognizing known and unknown pattern is relatively very high with this combination of networks when compare to other techniques. As the fault tolerance of the Hopfield network is more than back propagation so required percentage accuracy of output of the new combined network should be more as compared to only back propagation network. The objective of the neural network is to transform the inputs into meaningful outputs. The signals are transmitted by the means of connections links. It is inspired by the character set nervous connected system. We proposed new techniques for better character set reorganization using various implementation methods evolution analysis and identification needs. It is very helpful and vast scope for future research.
System for Prediction of Human Emotions and Depression level with Recommendation of Suitable Therapy
Authors: Chandurkar Swati S. , Pede Shailaja V. , Chandurkar Shailesh A.
Published: June 2023

In today’s competitive world, an individual needs to act smartly and take rapid steps to make his place in the competition. The ratio of the youngsters to that of the elder people is comparatively more and also they contribute towards the development of the society. This paper presents the methodology to extract emotion from the text at real time and add the expression to the textual contents during speech synthesis by using Corpus , emotion recognition module etc. Along with the emotions recognition from the human textual data the system will analyze the various human body signals such as blood pressure, EEG signals , vocal prosody to predict the level of depression so that suitable therapy can be suggested using Prediction algorithm. In text analysis, all emotional keywords and emotion modification words are manually defined. To understand the existence of test was carried out on set of textual sentences and preliminary rules written for 34 different emotions. These rules are used in an automated procedure that assigns emotional state values to words. These values are then used by speech synthesizer to add emotions to speech & input sentence. Pitch detection algorithm has been implemented for pitch recognition.
Distance Difference Test for Detection of Malicious User in Cognitive Radio
Authors: Rajput Seema , Chaudhari Amol , Landge Pratiksha
Published: June 2023

A number of wireless applications have been growing over the last decade. Most of the frequency spectrum has already been licensed by government agencies, such as Federal Communications Commission (FCC). Therefore, there exists an apparent spectrum scarcity for new wireless applications and services. Cognitive radio(CR) can efficiently utilize the unused spectrum for secondary usage without interfering a primary licensed user. In cooperative environment, a primary licensed user can share spectrum occupancy information with a secondary user to enable dynamic spectrum access. However, a secondary user needs to verify accuracy of the spectrum occupancy information and it comes from the legitimate primary users. Without the verification, a malicious user can falsify the spectrum occupancy information. This can result in Interference to the primary users and Primary User Emulation attack(PUE) which can minimize spectrum occupancy for secondary user. In this paper, we propose to develop an efficient technique to verify the source of the spectrum occupancy information to be from the legitimate primary user thereby maximizing the spectrum utilization efficiency and minimizing any interference to the primary licensed users.
Network Reconfiguration of Unbalanced Distribution System through Hybrid Heuristic Technique
Authors: Johnwiselin M. C.
Published: June 2023

Electrical power distribution systems are critical links between the utility and customer. They are constructed by one of the three types: radial, open loop and network. They are usually arranged to be radial in operation to simplify over-current protection. Usually, distribution systems are designed to be most efficient at peak load demand. Utilities are constantly looking for newer technologies that enhance power delivery performance. One of the several important issues is the control of power loss. Several strategies can be employed to minimize power losses in a distribution network. They are inclusion of capacitor banks, phase balancing, feeder reconfiguration of distribution system, etc. Among these, feeder reconfiguration helps to operate the distribution system at minimum cost and at the same time improves the system reliability and security. Network reconfiguration is the process of changing the topology of distribution system by altering the open/closed status of switches to find a radial operating structure that minimizes the system real power loss while satisfying operating constraints. This paper proposes an efficient algorithm based on Plant Growth Simulation Algorithm (PGSA), Greedy and Fuzzy. The optimization approach based on PGSA provides detailed description on switch states for calculation. The inclusion of Greedy improves the efficiency of optimization by reducing the number of load flow execution. In addition, heuristic fuzzy has been incorporated to handle constraints along with objective. With the use of proposed algorithm, the system loss has been reduced convincingly, composes proper loading at the branches and make up buses voltage within the limit and which provides solution under different conditions such as normal and abnormal conditions of the system. Furthermore, the solution algorithm is implemented through J2EE (Java 2 Enterprise Edition) architecture to reduce software couplings and to achieve software reusability. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to unbalanced standard 25- bus distribution system and modified IEEE- 125 bus distribution system.
Comparison of Hybrid Codes for MRI Brain Image Compression
Authors: Soundarya G. , Bhavani S.
Published: June 2023

Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scanning techniques produce human body pictures in digital form, which are prohibitive in nature. Hence compression is necessary for storage and transmission purposes of such medical images. In general, medical images are compressed in a lossless manner in order to preserve details and to avoid wrong diagnosis. But this leads to a lower compression rate. Hence we consider region of interest (ROI) normally the abnormal region in the image and compress it without loss to achieve high compression ratio in par with maintaining high image quality and the Non-region of interest (Non-ROI) of the image is compressed in a lossy manner. This paper discusses two simple hybrid coding techniques (Hybrid A and Hybrid B) on MRI human brain tumor image datasets. Also we evaluate their performance by comparing them with the standard lossless technique JPEG 2000 in terms of compression ratio (CR) and peak to signal noise ratio (PSNR). Both hybrid codes have resulted in computationally economical scheme producing higher compression ratio than existing JPEG2000 and also meets the legal requirement of medical image archiving. The results obtained prove that our proposed hybrid schemes outperform existing schemes.
Study on Load Profiling and Energy Management Systems
Authors: Aravind C. V. , Norhisam
Published: June 2023

Energy Management System plays a very important role in the load profiling and towards the efficient organizational electrical load factor. This involves the energy auditing which is a crucial activity energy monitoring and analysis. Based on the load factor a system is modeled using commercially viable software and a system of conventional and renewable energy is proposed to improve the efficiency of the system under investigations.
Application of ANN for Induction Motor Fault Classification Using Hilbert Transform
Authors: Jawadekar Anjali U. , Dhole G. M. , Paraskar S. R. , Beg M.A.
Published: June 2023

This paper addresses the development of new signal processing approach based on Hilbert transform to extract the fault features in number of induction motor conditions. The motor conditions considered are normal condition and motors with bearing defects like inner race, outer race, stator interturn faults and rotor bar crack. Present approach is based on extraction of envelopes of the stator currents by Hilbert Transform. Representative features like maximum and minimum value, mean, standard deviation and norm are obtained from current envelopes. These features are then used as input to Artificial Neural Network. Experimental results obtained show that diagnostic system using MLP neural network along with Hilbert Transform is capable of classifying multiple faults in induction motor with high accuracy recognition rate.
Design of Reversible Logic Gates for Digital Applications
Authors: Saravanan M. , Suresh Manic K.
Published: June 2023

Recent applications of quantum computing is the design and evaluations on the reversible logic technology. The digital systems widely utilize the code conversion technology in enhancing the data security and also minimize the required hardware. This nano-metric technology is high prolific in digital systems as it minimize the power consumption in logic circuits. This paper proposes the reversible logic design for such a code conversion including the binary to gray code, gray to binary code, BCD to excess 3 codes, excess 3 to BCD code.
Implementation of ARS-STR in STR for Effective Energy Transmission
Authors: Vetrichelvi G. , Mohan Kumar G.
Published: June 2023

Wireless mesh networks (WMNs) have emerged as a key technology for next generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS-STR) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS-STR also improves channel efficiency.
Battery Energy Storage Station Based Smoothing Control of Wind and Photovoltaic Power Generation Fluctuations Using SOC Control Strategy
Authors: John Dayana.V. , Marsaline Beno D. M.
Published: June 2023

The battery energy storage system (BESS) is the current typical means of smoothing intermittent wind or solar power generation. Such BESS hybrid power systems require a suitable control strategy that can effectively regulate power output levels and battery state of charge (SOC). This paper presents the results of a wind/PV/BESS hybrid power system simulation analysis under taken to improve the smoothing performance of wind and Photovoltaic (PV) power generation and the effectiveness of battery SOC control. A wavelet based power smoothing method is presented for reducing output power fluctuations of wind/PV hybrid power generation systems and regulating the battery SOC. The effectiveness of the proposed method was verified using MATLAB/SIMULINK software.
An Efficient Vision-Based Hand Beckon Perception for Physically Debilitated People using MCMC and HMM
Authors: Justina J. P. , Senthilkumar Sangeetha
Published: June 2023

Recognition of hand gestures has a significant impact on human society. It is a natural and intuitive way to provide the interaction between human and the computer. It provides touchless interaction and easy way to interact without any external devices. With the ever increasing role of computerized machines in society, Human Computer Interaction (HCI) system has become an increasingly important part of our daily lives. HCI determines the effective utilization of the available information flow of the computing, communication, and display technologies. Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human–computer interface. Hidden Markov models (HMMs) and related models have become standard in statistics with applications in diverse areas. Markov chain Monte Carlo (MCMC) is great stuff. MCMC revitalized Bayesian inference and frequents inference about complex dependence. A high performance Artificial Neural Network (ANN) classifier is employed to improve the classification and accuracy.
Design of Decentralized Controller Using RNGA for a Coupled Tank Process
Authors: Senthilkumar M.
Published: June 2023

This paper proposes a new analytical method for the design of decentralized Proportional-Integral (PI) controller for coupled tank process. The proposed design methodology aims to achieve the minimum interaction among the loops for Multi-Input Multi-Output (MIMO) process of first order with time delay. The decentralized controller is designed in terms of equivalent transfer function results from the pairing of MIMO process using Relative Normalized Gain Array (RNGA). The effectiveness of the proposed controller is established through simulation and real time studies. The results demonstrate that the proposed design of decentralized controller gives less interaction response coupled with good robustness.
ECG Signals Application Automated Apprehension and Allocation of Cardiovascular Abnormalities
Authors: Senthil P.
Published: June 2023

In this paper, a data-driven concordance access is proposed for automated apprehension and allocation of cardiovascular abnormalities. ECG arresting is represented by accomplished an complete dictionary that contains prototypes or atoms to abstain the limitations of pre-defined dictionaries. The data-driven accomplished dictionaries artlessly crop the ECG arresting as ascribe rather than extracting appearance to abstraction the set of ambit that crop the a lot of anecdotic dictionary. The access inherently apprentices the complicated morphological changes in ECG waveform, which is again acclimated to advance the classification. The allocation achievement was evaluated with ECG abstracts beneath two altered preprocessing environments. First category, QT-database is baseline alluvion adapted with cleft clarify and clarify the 60Hz ability band noise. Second category, the abstracts is added filtered application fast affective boilerplate smoother. The beginning after-effects on QT database confirms that our proposed algorithm shows a allocation accurateness of 92%.
The Non Linear Static Pushover Analysis of RCC Frames
Authors: Patil S. S. , Lonawat S. S.
Published: June 2023

As the Developing countries move towards the implementation of Performance Based engineering philosophies in seismic design of civil structures, new seismic design provisions will require structural engineers to perform nonlinear analyses of the structures they are designing. These analyses can take the form of a full nonlinear dynamic analysis, or static nonlinear Pushover Analysis. Because of the computational time required to perform a full nonlinear dynamic analysis, the Pushover Analysis, if deemed applicable to the structure at hand, For this reason, there is a need for easy to use and accurate, nonlinear Pushover Analysis. The loads are increased until the peak response of the structure is obtained on a base shear Vs. roof displacement plot. From this plot, and other parameters representing the expected or design earthquake the maximum deformations the structure is likely to undergo during the design seismic event can be estimated.
Finite Element Analysis for Machinability Test of Laser Sintered Material
Authors: Jamaludin Ahmad Shahirbin , Yassin Abdullah bin , Shahril bin Osman Mohd.
Published: June 2023

In this paper, finite element analysis (FEA) on machinability of laser sintered material with mean of predicted cutting force and temperature distribution is explained. The process involved 2D orthogonal down-cut milling with the application of two dimension thermo mechanical plane strain model. The updated Lagrangian formulation was used where cutting simulation does not involve element separation but remesh automatically when element distorted critically. AISI1055 mild steel properties were used as the comparison. Various types of friction models were adopted in obtaining precise results. Predicted cutting force and cutting edge temperature are validated against corresponding experimental values by previous researchers. From the simulations, the shear friction model of 0.8 is the best friction model where 10% errors were obtained for comparison mild steel AISI1055 FEA results with the experimental approach for increasing radial depth. Lower cutting force predicted for laser sintered materials compared to AISI1055 due to lower Young modulus. Cutting edge temperature predicted for laser sintered material is higher due to its low thermal conductivity compared to AISI1055.
The Challenge of Road Traffic Accidents in the Third World: The Nigeria’s Experience (1960-2010)
Authors: Ademiluyi Isreal A.
Published: June 2023

The incidence of road traffic accident is rising worldwide. However, fatalities from automobile crashes are said to be higher in developing countries where the number of motor vehicles relative to the population is generally much lower than in the developed countries. The paper examines the rising tide of carnage on the highways in the third world countries but particularly in Nigeria. In carrying out the detailed study, road traffic accident data (1960-2010) in Nigeria were obtained from the Federal Road Safety Commission (FRSC). Additional relevant information and data were generated from other stakeholders such as the police and hospital sources as well as the accident victims (motorists/commuters). The data was analysed using the least square method. The equation of the trend line for casualty cases was computed. The regression coefficient shows that there has been an upward trend in accident casualty between 1960 and 2010. Accidents on the country’s highways are caused by several and diverse factors including roads in dangerously poor conditions, poor maintenance of vehicles, indiscipline on the parts of motorists/motorcyclists and other road users, ignorance of highway code on the part of a large proportion of Nigerian drivers and corruption by some traffic law enforcement agencies. The paper recommends some measures that can ensure effective and sustainable accidents reduction on the country’s highways.
Comparison Between High Grade Retempered Concrete [M40] and Medium Grade Retempered Concrete [M20]
Authors: Pethkar A. R. , Patil V. V.
Published: June 2023

As the grade of concrete is increases the quantity of cement is increases which effects on theproperties of retempered concrete. For M20 concrete we can retemper the concrete upto 120 min. but forM40 concrete retempering time is only 30 min. Adding water to a plastic mix to increase slump is an extremelycommon practice, even though it is not recommended because it increases the porosity of concrete. Concrete often arrives on site more than half an hour after initial mixing. Placement operations can take anywhere from 10 to 60 minutes, depending on the field conditions and the size of the load. When the slump decreases to an unacceptable level during the operations, water is added to the mix. Objective of this paper to study the strength characteristics of retempered concrete M20 & M40 concrete. Usually the retempering process is used with normal concrete or with ready mixed concrete; an attempt is made to check the compressive and flexural strength of normal retempered concrete with an addition of retarder in three different percentages as 0.2%, 0.4% and 0.6% at retempering time of 15 minutes to 90 minutes.
Review of Risk Factors of Construction Site Fire and Suggestions for its Mitigation
Authors: Sutapa Das T.
Published: June 2023

India lacks guideline for fire safety at construction sites. But site contains all normal elements of an existing building that can pose fire hazard plus many extra risk factors such as flammable chemicals, spark-generating tools, inadequate provision of fire protection system etc. Hence, risk associated with fire at sites for new construction alteration or demolition is higher. Human response performance is also poorer for site fire adding to the seriousness of the problem. While in India, infrastructure is booming and at the same time many devastating fires have taken place in recent years, it is hightime to formulate guidelines to control site fire. Considering the limitation of using a conventional fire protection system at site, this paper reviews fire norms prevalent in other countries and highlights the major concerns. In this context, extended role of various key players of construction industry such as designers, contractors, clients etc is also discussed.
Evaluating Organizational Effectiveness of Construction Industry Using Artificial Neural Networks
Authors: Senthil Vadivel T. , Dodduran M.
Published: June 2023

In the construction industry we are struggling in selecting the best organization in the pretender stages. We select organization on the basis of lowest bid offered in a tender for particular contract having only the knowledge of reputation of work and the rate offered for the tender by the organization at the least we offer the contract to the organization. We do not pay much attention towards the methodologies adopted in solving the problems that arise the various sector in organization. So, there is an urge in finding out the functional efficiency of an organization. In the present scenario experts are trying out better solutions or enhancing organizational effectiveness. Concepts such as total quality management, reengineering, partnering, conformance to ISO standards, and other emerging management strategies are making headlines. However all of the techniques stress measurement and continuous assessments how the firm organized as important steps in improvement. Therefore it is clearly becoming essential for construction firms to develop valid methods of assessing and prediction their level of organizational effectiveness and hence achieve consistency in the projects performance. For that we need a novel approach for assessing the efficacy of the system used. In any organization the quality and the productivity depends upon the effectiveness of the systems implemented in the organization. So, it becomes necessary for evaluating the functional capability of the organization. We propose Artificial Neural Network (ANN) as decision aiding tool for evaluating the effectiveness and thereby reducing the flaws incorporated by the other techniques in use.
Numerical Studies of a Two Dimensional Symmetric Diffuser in a Turbulent Flow Using CFD
Authors: Kumar Chougala , Kabbur Abhinandan S.
Published: June 2023

The numerical studies of a two dimensional asymmetric diffuser in turbulent flow with maximum pressure at the exit is obtained using computational fluid dynamics. The three Reynolds number based on the bulk mean velocity and the channel height at the diffuser entrance is 18000, 40,000 and 60,000. The maximum pressure is obtained to be zero skin friction along the diffuser wall. The turbulent flow inside the diffuser is predicted using three Reynolds average navier stokes based turbulence models are considered for the study i.e., K-e standard, K-e RNG and K-w SST. The designed diffuser geometry has analyzed with fluent for its design intent. The variation of static pressure, velocity, skin friction coefficient and pressure coefficient are studied for three different Reynolds numbers. The designed diffuser geometry has been used in gas turbine engine exhaust. The function of diffuser is the kinetic energy of incoming exhaust gases from the power turbines is converted into static pressure through the diffuser. It also helps in discharging of exhaust gases from high speed to low speed, and also to turn the flow of gases from axial to radial direction.
Experimental Investigation on Strengthening of Latex Treated Coconut Fiber in Concrete
Authors: Sahaya Ruben J. , Baskar G.
Published: June 2023

Coconut fibers have the highest toughness amongst natural fibers. The experiment has carried out to investigate the behavioural study of coconut fibre in concrete member. The Coconut fibre is treated using natural latex before using in concrete, so that it is not be affected by moisture content presented in concrete. In this experimental study 28 days of the compressive strength is carried out using different coconut fibre length of 20mm, 25mm and 30mm respectively with a different percentage as 0.5%, 0.75% and 1%. The selected input variables include the length of the fiber, percentage of the fiber, and maximum load of the specimen. In this paper, Back-Propagation Neural Network (BPNN) model has been developed to predict the Compressive strength of Concrete members. A parametric study is carried out using BPNN to study the influence of each parameter affecting the characteristic compressive strength of the concrete. The results of this study indicate that BPNN provide good predictions which are better than those from other available methods. These models can serve as reliable and simple predictive tools for the prediction of compressive strength of the members.
Stress-Strain Behaviour of Fine Grained Soils with Varying Sand Content
Authors: Koppa Nagaraj
Published: June 2023

The behaviour of clay is affected by the content of sand particles. How and to what degree the sand content affects on shrinkage limit, compaction characteristics, stress-strain behaviour, shear parameters (angle of internal friction and cohesion) and coefficient of consolidation studied in detail. In this paper, fine grained soil like BC soil and shedi soil with different percentage of sand (10% to 60%) was prepared and compacted with water content at optimum and a systematic series of UU-Triaxial test is conducted. Results of the laboratory tests shows that at optimum content 10% to 60% of sand, the results reveal that undrained shear strength, as the sand content increases in fine soil mixture the cohesion of soil decreases with increases in frictional angle at optimum content. The percentage increased in friction angle increased at steady state from 130 to 280 and the cohesion decreased from 0.71 to 0.39 kg/cm2 with increasing sand content.
Comparison of Degradation Phenomenon of Reactive Dye Direct Red 80 by Fenton, Photo Fenton and H2O2+UV-C
Authors: Giribabu P. V. S. , Priya Lakshmi , Sarikumar  , Swaminathan G.
Published: June 2023

Fenton, Photo Fenton and H2O2+UVC experiments were conducted on a reactive dye Direct Red 80. The influence of different parameters like initial pH, initial concentration of H2O2, Fe (II) dosage was found on it. The optimum pH value using Fenton degradation is in between 2.5 and 3.0. As H2O2 was increased, the rate of degradation was found to increase up to 10mM and thereafter it decreased. As Fe (II) was increased, the rate of degradation was found to increase up to 35mg/L and then it decreased. Comparisons of final degradation by Fenton, Photo Fenton and H2O2+UV C methods were done.
Water Quality Analysis on Yercaud Lake
Authors: Dhaarani D. , Ilavarasan N.
Published: June 2023

The water quality index is a single number that expresses the quality of water by integrating the water quality variables. Its purpose is to provide a simple and concise method for expressing the water quality for different usage. The present work deals with the monitoring of variation of seasonal water quality index of some strategically selected surface water bodies. The Index improves the comprehension of general water quality issues, communicates water quality status and illustrates the need for and the effectiveness of protective practices. It is found that in all cases the change in WQI value follow a similar trend throughout the study period. The lake water is found of not good quality during summer seasons (WQI-100 to 200). However, it is found that water quality of lake deteriorates slightly from winter to summer season on account of the increase in microbial activity as well as increase in pollutants concentration due to water evaporation.