bluuebunny/crossref_metadata_2025 huggingface dataset:
A study on the APFS timestamps in MACOS
Authors: Hwa Song Jong , Ho Kim Se , Yi Hwang Song , Gyu Kim Seung , Jin Lee Sung
Published: April 2019

Background/Objectives: There are not many time analysis studies on High Sierra, the latest macOS (10.13) that has changed the file system from HFS+ toAPFS (Apple File System).Methods/Statistical analysis: In this experiment, we tried various actions of the file and the directory with using the Sierra version of the internal drive and the High Sierra version of the external drive. The ‘mdls’ command and the time attributes of the Finder are used for comparing the metadata.The ‘log show’ command is also used for checking the system time modification. For analyzing the .DS_Store and the db.sqlite files, we used .DS_Store Parser and DB Browser for SQLite.Findings: First of all, we briefly review time synchronization and APFS. And then, we compare the time records of HFS+ with those of APFS with differences. The unified logging file (tracev3) file with using the ‘log show’ command is analyzed and it is confirmed that the relevant log is left when the system time is changed. Next, we performed various actions on the files and directories of Sierra and High Sierra, and compiled the results as the tables. As a result, we found that the accessed time values were not updated well at high Sierra for the performance purpose. Finally, we also found the file attribute values in the DS_Store file in the RecycleBin and the database files in Document Revisions by default, and found that they can be used in forensic analysis.Improvements/Applications: Furthermore, it is necessary to examine and analyze the change of the time attribute of the file when the file and folder are moved or copied with APFS formatted external storage device.
A study on improving the quality inspection on national information by using levenshtein distance algorithm
Authors: Lee Sanggi , Kang Inje , Kim Eungyeong , Shon Kangryul , Lim Chulsu
Published: April 2019

Background/Objectives: In Korea, much effort and budget were spent to improve national R&D information management. However yet, project summaries of national R&D are not accurate enough to be utilized.Methods/Statistical analysis: To examine the accuracy of project summaries, Levenshtein Distance Algorithm (LDA) was applied. LDA is expected to extract improper project summaries of which some parts of sentences are repeatedly used. To evaluate how the algorithm performs with national R&D information in Korea, project summaries of 53,492 national R&D projects that were conducted in 2014 were used.Findings: Unlike other algorithms, LDA was able to detect project summaries consisted of repeatedly used phrases. According to the test with LDA, from 53,492 cases, 3,445 projects had inaccurate contents in project summaries. In details, 2,707 projects had improper research objective, while 712 projects and 26 projects had improper contents in research summary and expected impact, respectively. Although the algorithm allowed extracting repeatedly used phrases, it had problems of time; thus, it was only applied offline. Also, a research had to confirm once more to verify the accuracy of the result.Improvements/Applications: This paper applied LDA to detect inappropriate project summaries. The result implies that by applying LDA, the quality of the information can be improved to facilitate the utilization.
Science DMZ network architecture deployment and performance evaluation to large scaled data transfer efficiency
Authors: Seon Park Jong , Hae Kim Seung , Ki Noh Min , Seung Cho Bu
Published: April 2019

Background/Objectives: Recently, it has been great issue to transfer large-scale science dada such as scientific field of high energy physic, astronomical space, super-computing simulation. To solve the transfer issue and to increase transfer efficiency, it needs a multi-dimensional approaches.Methods/Statistical analysis: To improve the transfer performance, approaches from the perspective of components such as network equipment, transmission protocol, and transmission application have been suggested. Effort to TCP congestion control algorithm and parallelism of data transfer channel are representative example to improve performance. However, the solution through the each component has a limitation in maximizing the transmission efficiency.Findings: Science DMZ is a new network architecture that can maximize transfer performance. It maximizes transfer efficiency through approach to all components, such as network equipment, dedicated network path, transfer applications, and local institute firewall policies. With these complicated components, science DMZ network architecture can greatly improve the transfer efficiency. In this paper, we design and construct a science DMZ network architecture between two organizations that utilize supercomputing resources based on KREONET and evaluate the performance.Improvements/Applications: After configuring the experiment environment, we measured network performance through iperf and file transfer performance test through SCP. Experiment result showed around 388% Improvement than that of existing method.
Design and experimental analysis of morphing wing based on biomimicry
Authors: A Mugeshwaran , Prasad Bacha Guru , S Rajkumar
Published: April 2019

In this paper narrate about the study of aerodynamics in the multi-section morphing wing variation of baseline configuration to camber con-figuration. In particularly NACA 0012, section tried to morph as NACA 9312 camber section to achieve the lift to drag ratio in the flight condition based on the bio-mimicry. The CAD model and fabricated morphing wing in geometry scale of 20 cm chord and a 36 cm wing-span, with aluminum material ribs divided into 6 sections. Each section was able to rotate approximately 6 degrees without causing a discon-tinuity in the wing surface and also in order avoid the control surface based on the bio mimicry the morphing wing was designed and tested. DC-motor located at main spar with the two equal gear ratio the rib section used to morph the wing through the linear mechanical linkages. The aluminum ribs section are made through the EDM-Wire cut machining process for capable to actuate the morphing wing. In each sec-tion morphing wing can able provide up to 10 percent variation in the symmetrical airfoil to the cambered airfoil. The experimental test of the morphing was carried out in the cascade tunnel by force balancing method and the lift and drag output are compared.
A survey on multimodal biometrics for human authentication
Authors: Arunarani S , Gobinath R
Published: April 2019

Authentication process identifies an individual to get an endorsed access by entering their login credentials. The inconvenience with this method is the user must remember the keywords, and the passwords can be predicted or if it is hard to guess it will be cracked through brute force. Due to this fault, this method is lack of integrity. Biometrics sample recognize a person based on his behavioral or physiological char-acteristics. Unimodal biometric systems have to resist with a different types of problems such as inconsistent data, intra-class variations, deceit attacks and high error rates. Multimodal biometrics implements secure authentication using various biometric traits. This survey gives us a wide scope for improving and enhancing the biometric applications. In this paper, we have explained multimodal biometrics to decrease the error rate and increase the security.
A knowledge-based stream processing using big data analytics
Authors: Tamilselvi D , A. Akila Dr
Published: April 2019

Big Data available in almost all departments of every organization spread throughout the globe in a huge volume and category. The issues such as data heterogeneity and advanced processing capabilities are provided solution with the proposed system. Data heterogeneity is tack-led by using the automatic schema mapping in the proposed work which is knowledge based solution. Inventive processing is achieved using ontology extraction and semantic inference in the proposed work. The solution is evaluated in terms of its performance and effective-ness with the publish/subscribe paradigm. The state of art analysis of huge volume of variety of data and sensory information is the real complexity. The Advanced Message Queuing Protocol is used in the proposed work for the state of art substance explanation of flooding IoT data to have dynamic mingling. The proposed work gives way to produce huge amount of data that can affect the working of the smart city systems that uses IoT data. To point out the reliability and summarization of the data, information model is used in the proposed work. The data size and average exchanged message time are the measures used to examine the working of the framework. A detailed assessment of the various sensors is carried out to inspect the storage data volume and computational cost for the substance explanation of the framework.
Improving BER and data throughput using adaptive modulation level MC-CDMA technique in underwater wireless communication
Authors: T Jaya. , Vijayalakshmi P , Rajendran V
Published: April 2019

Underwater communication has a wide range of applications like environmental monitoring to predict the natural disasters, underwater ex-ploration and military applications. The need for effective underwater communication is the high demand in the present scenario. The im-plementation of precise modulation technique is also important because the underwater channel environment is time variant due to various noises present in the underwater like natural and vehicle noise (mechanical noises). The bandwidth is also highly limited in underwater communication. The existing method is adaptive modulation based OFDM system. This method has low spectral efficiency, however, each symbol is modulated with different carriers. The proposed method is Adaptive Modulation Level MC-CDMA (Multi carrier Code Division Multiple Access). The CDMA techniques share the same carrier frequency to multiple number of users. It adapts the modulation scheme according to the present channel conditions in the underwater. The performance of the proposed system improves the Data Throughput and Bit Error Rate.
A proposal for scientific analysis on the signboard color of gwanghwamoon
Authors: Joo Jongwoo , Lee Yonghwan
Published: April 2019

Background/Objectives: The analysis plan on the signboard of Gwanghwamoon is the research inferencing the background color and the handwriting color of the signboard by scientifically analyzing the gelatin glass plate image of Gwanghwamoon (1916) possessed by National Museum of Korea, the gelatin glass plate image of Gwanghwamoon (1902) possessed by The University of Tokyo, Japan, and the printed image of Gwanghwamoon (around 1893) possessed by Smithsonian Museum, USA.Methods/Statistical analysis: This study aimed to reproduce the then photographing condition and equipment of the old pictures in order to compare and analyze the three old pictures aforementioned.Findings: The restoration of tangible cultural properties through picture analysis and reproduction research will lay a cornerstone and the excellent case for future restoration project of similar tangible cultural properties. In restoration of cultural properties, scientific historical research is critical and basic process. Moreover, in case that photograph data exists, it can be utilized as a very valuable evidence data.Improvements/Applications: On the other hand, the photograph data can also be a dangerous trap without scientific research analysis that reproduces the condition of the time of the shooting; hence, the results of this study can be a good example of scientific analysis in restoration work.
Optimization of dc-bus voltage regulation with grid con-nected single phase bi-directional converter
Authors: N. Ganesh V , Ajay Daniel J , Sivakumar D , Balaji S
Published: April 2019

This paper presents using of alternate input energy source for optimization of DC bus voltage regulation and maintaining of availability of DC bus voltage with grid connected single phase bi-directional converter. Power generated by PV system and DC-DC boost converter with MPPT technology and fuzzy logic control for DC applications. Excess power available in the solar panel will return back to AC grid. DC power will be drawn from the AC grid when the intensity of sun is less. Maximum power output is obtained by using MPPT technique from PV panel. FUZZY controller is also used along with MPPT to control the final DC output voltage regulation of solar panel connected to the DC bus and for smooth power transfer. Simulation and actual experiments results are shared in detail for the implementation of MPPT with FUZZY controller and the modes of operation of Bi-directional converter.
Simulation and detection of tamil speech accent using modified mel frequency cepstral coefficient algorithm
Authors: Sarkar Swagata , R Sanjana , S Rajalakshmi , T J Harini
Published: April 2019

Automatic Speech reconstruction system is a topic of interest of many researchers. Since many online courses are come into the picture, so recent researchers are concentrating on speech accent recognition. Many works have been done in this field. In this paper speech accent recognition of Tamil speech from different zones of Tamilnadu is addressed. Hidden Markov Model (HMM) and Viterbi algorithms are very popularly used algorithms. Researchers have worked with Mel Frequency Cepstral Coefficients (MFCC) to identify speech as well as speech accent. In this paper speech accent features are identified by modified MFCC algorithm. The classification of features is done by back propagation algorithm.
Analyzing ovarian tumor and cancer cells using image processing algorithms K means & fuzzy C-means
Authors: N G Thangamma , S. Prasanna Dr
Published: April 2019

Ovarian growth is a tumor that occurs in the ovaries of the women. Sometimes, it may derive to be a malignant tumor. Those tumors are acute cancer cells that could be life-threatening if the treatment had not been properly taken. Few of the cases, malignant tumors can be re-moved using surgery or by means of radiations..There is a chance of cancer if not properly removed and they could grow back. Analyzing ovarian cancer is found to be the highest mortality rate of all categories of cancers affecting the women. Considering its malignant effect necessary remedial actions need to be carried out for the welfare of the peoples in the future. Researches and various analysis are being car-ried out to overcome the drastic effect of malignant tumor. Supporting the research, in this paper we have analyzed various imaging modali-ties to examine segmentation and texture analysis with the help of K-Means and Fuzzy C-Means.
Multitudinous of remedial medical image using stationary wavelet transform
Authors: S. Meera Mrs. , R. Sharmikha Sree Mrs. , R. Deepika Mrs , R. A. Kalpana Mrs
Published: April 2019

Image fusion is becoming more popular in various field nowadays. The quality of accuracy and perception has been achieved with this con-cept. The field that is in urgent need of more contrast images and quality output of body organs image reproduction is medicine. This paper proposes the concept of introducing the image fusion in the area of body imaging to get a more accurate and contrast images for the identifi-cation of the tumor or any other mal-functionalities in the human body. The image fusion is enhanced with the choice of more efficient and contrast uplifting technique called stationary wavelet form. This technique accepts the input of two different perceptive images of the finicky region and enhances their details in the resulting image. The advantageous part of the technique outputs the more detailed edge separation feature which further more allows the fast diagnosis of the any defect prevailing currently in the place subjected to the imaging test. This technique also paves the way to get the more reliable and meticulous result in the future when the world starts embracing the advantage of automation in the field of medicine.
Service based collaborative framework for smart gardening
Authors: Kavitha V , P. Shanmugapriya Dr , S. Aisshwaryapriya A , Harini M
Published: April 2019

Service oriented architecture (SOA) is being an evolving technology, which allows various applications to talk with each other and share data and services through a provider, mediator and service requestor with a service description. This paper recommends a way for the development of “smart gardening” using web services in combination with internet of things (IoT). This approach helps to develop, deploy, integrate and manage various services through a collaborative framework for the effective maintenance of plant growth. The usage of IoT will help people to use the sophisticated techniques to improve the maintenance. IoT is used for sensing soil moisture and nutrients, controlling water usage for plant growth and determining custom fertilizer. Further, it also aims to maintain the environmental constancy and sustainability.
A survey on educational data mining techniques in predicting student’s academic performance
Authors: Amutha P , R. Priya Dr
Published: April 2019

The massive growth in the educational sector needs to create awareness about handling the huge volume of student data. The educational data mining is a technique to extract information from these volumes of data. Nowadays educational data mining technique plays a vital role in predicting academic performance. The objective of this study is to explore the extended knowledge of different educational data mining techniques, which have been used to predict the academic performance.
An understanding of machine learning techniques in big data analytics: a survey
Authors: Josephine Isabella S , Srinivasan Sujatha
Published: April 2019

Big data is a Firing Term in the recent era of the modern world, due to the information exploita-tion; there is an enormous amount of data produced. Big data is a powerful momentum of infor-mation and communication technology field due to the effect of growing data in healthcare, IOT, cloud computing, online education, online businesses, and public management. The produced data is not only large but also complex. Big data has a large amount of unstructured data so that there is a need to develop advanced tools and techniques for handling big data. Machine Learning is a prominent area of Artificial Intelligence. It makes the system to make intelligent resolutions by giving the knowledge to achieve the goals. This study reviews the various challenges and innovative ideas for big data analytics with machine learning in different fields over the past ten years. This paper mainly organized to identify the research projects based on the discussions over machine learning techniques for big data analytics and provide suggestions to develop the new projects.
Acute Stage of Brain Stroke Diagnosis Using Hybrid Genetic Algorithm for Optimization of Feature Selection and Classifier
Authors: Amuthadevi C , Meena K , Arthi K
Published: April 2019

Brain Stroke is the third leading reason of death or major disabilities and needs computer guided assistance to diagnose at an earliest stage of disease. Stroke results in great physical functioning restrictions, which negatively impacts the quality of life for survivors and also care givers. MRI of brain is mainly used for accurate diagnosis even though its cost is high. In this work, a Hybrid Genetic Algorithm (HGA) is proposed for feature selection with Independent Component analysis and parameters optimization of Multi layer Perceptron (MLP). The classification results are compared with simple KNN and MLP Classifiers.
Implementation of Geospatial Labeling using Time of Arrival and Cramer-Rao bound approach
Authors: Thanjaivadivel M , K. Pious Ignatious
Published: April 2019

Internet of Things (IoT) is one of the most emerging technology worldwide and also plays pivotal role in sensing data and also provide communication between “things”. In this paper, we implement calculation for geospatial labeling for Internet-of-Things (IoT) sort applications, which we indicate as location-of-things (LoT). The hidden thought of LoT applications is to utilize minimal effort of TW-ToA extending gadgets to perform restriction of labels. Two Way(TW) is a agreeable technique for deciding the range between two radio handset units. At the point when synchronization of the oscillators of the included transmitters is not reasonable, henceforth the tickers vary, at that point applying the estimation as a two courses go to the beneficiary and reflected back to the transmitter makes up for a portion of the stage contrasts between the oscillators included. We first propose TW-ToA localization algorithms may encounter execution debasement in situations where a portion of the APs are outside the correspondence scope of the labels. We at that point demonstrate that we can make utilization of the audible data (which demonstrates whether an AP is capable or unfit to speak with the labels). We also re-formulate the restriction issue as a factual nonlinear estimation issue. To avoid ambiguity problem that arises only at few  APs this has been sorted using Cramer-Rao bound approach.
Aluminum metal matrix composites a review of reinforcement; mechanical and tribological behavior
Authors: Dev Srivyas Pranav , S. Charoo M
Published: April 2019

This review aims to explore the fundamental mechanical and tribological behavior Aluminum matrix composites (AMCs) reinforced with different reinforcements. Aluminum matrix composites are considered to be the new emerging class of materials which are having the tailored properties for specific applications. AMCs are the advanced engineering materials having superior properties as comparison to other conventional aluminum alloys. AMCs exhibits attractive properties such as high hardness, better yield strength, strength to weight ratio, high thermal conductivity, low coefficient of thermal expansion, superior wear and corrosion resistance. In recent times, because of these properties they have repealed keen interest for various potential applications in aerospace, automotive and various other structural applications.. Extensive research and development has been made in the Al-based MMCs with every possible alloy and different reinforcements so as to get the material of desired properties. By suitable use of different reinforcements in the Al metal matrix a wide range of properties combination can be obtained. The fundamental mechanical and tribological behavior of different reinforcements under dry and wet lubricated sliding conditions is recently being studied. It is reported that various reinforcement were successfully employed to decrease friction and wear in various applications. A comprehensive review is provided with the aim to analyze such properties of different reinforcements.
Iris Segmentation
Authors: Farihan Mat Raffei Anis , Hassan Rohayanti , Kasim Shahreen , Asmuni Hishamudin , Syifaa’ Ahmad Asraful , Hidayat Rahmat , Saleh Ahmar Ansari
Published: April 2019

The quality of eye image data become degraded particularly when the image is taken in the non-cooperative acquisition environment such as under visible wavelength illumination. Consequently, this environmental condition may lead to noisy eye images, incorrect localization of limbic and pupillary boundaries and eventually degrade the performance of iris recognition system. Hence, this study has compared several segmentation methods to address the abovementioned issues. The results show that Circular Hough transform method is the best segmentation method with the best overall accuracy, error rate and decidability index that more tolerant to ‘noise’ such as reflection.
Development of reversed deep drawing without blank-holder for producing brass elliptical cup
Authors: Hassan Ali , Aziz Hani , Hussein Ola
Published: April 2019

A new technique “Reverse Deep Drawing Process” without blank holder was adopted, for the single stage to produce an elliptical cup through an elliptical die. In this process an elliptical-cup is produced by pushing an elliptical blank using a hollow elliptical punch through an elliptical die in a single stroke. FEM via ANSYS is used to analyze this process. The clearance ratio was varied to study its effect on some parameters of this process like load, stress, strain, thickness distributions. A die with clearance =1mm and blank thickness=1mm gave the best drawability in this technique and no wrinkling observed on the product but it has minimum earring. Several attempted have been done to get the shape and dimensions of the blank, the major axis (a) =85mm & the minor axis (b) =65 mm was the better blank for this process to produce elliptical cup of major axis is twice minor axis. Good agreements are evident between the experimental and finite element results; the discrepancy is 4.0797% for load-extension and 0.852% for the wall thickness in minor axis and 1.145% in major axis.
Detection and classification of wipe transitions in sport videos in presence of object motion
Authors: Chavan Salim , Narayana M , Koteswara Rao, L
Published: April 2019

Transition detection is the necessary step in retrieval and investigation of videos on the basis of contents. Since last two decades, most of the researchers are involved in developing algorithms for detection of gradual transitions. However, the features of all gradual transitions are different and hence this issue still needs to be addressed precisely. After identifying this issue, an integrated shot boundary detection method is proposed in this paper. Wipe transition is the effect which is mostly used in the video making industries .Since there are different types of wipe transitions, it becomes very difficult to detect such transitions. Due to complexity in detection of wipes due to noise, object and camera motion earlier methods have less focus on this issue. In this paper an efficient wipe detection method is presented which gives better results even in the presence of object and camera movements.
VBS Stemmer: A vocabulary-based stemmer
Authors: Zakeri Rad Hamed , Tiun Sabrina , Saad Saidah
Published: April 2019

Stemming is referred to a procedure of reducing all words appearing in different morphological variants to a common form. As a matter of fact, it is considered as a functional way in various areas of information-retrieval work and computational linguistics. In this paper, we introduced the Vocabulary Based Stemmer (VBS) as the alternative solution to the stemming problem for the applications which are based on the semantic relation between words or dictionary based and need valid words. The Vocabulary part of VBS stemmer is generated based on WordNet. To validate the VBS Stemmer, part of “Cranfield 1400” test collection being used, and the result shows significant improvements over the previous stemmers.
Influence of dike slope on the development of infiltration water and erosion processes during overtopping tests
Authors: Hassan Marwan , Ismail Mohd Ashraf
Published: April 2019

The usage of dikes embankments has a great influence on the development of hydraulic engineering. It increases the suitability of water resources for humanity needs. Different Geotechnical and hydraulics powers affect on the stability of dike construction through transition of water flow in the upstream slope. The development of erosion process inside dike construction occurred as a result of an overtopping water flow cross above the dike crest. The dike erosion initiates breach channel inside dike and later widened into upstream and downstream slopes. In this study, a 2D and 3D vertical and horizontal erosions test is constructed in Hydraulic Geotechnical laboratories at the Universiti Sains Malaysia to observe the evolution of the breach channel during spatial overtopping failure. Two constant dike slopes of (1V:3H) and (1V:2.5H) for both upstream and downstream slopes are used as a parametric test during overtopping tests. The vertical and horizontal distributions of water levels are also highlighted prior to overtopping failure. The results indicate that the vertical and horizontal erosion widen the dike breach for slope of 1V:2.5H faster than those for 1V:3H while the spread of water infiltration in horizontal and vertical levels are higher for latter slope than for previous one.
A Survey on Duplicate Data Filtering Methods in Big Data
Authors: P Godlin Jasil S , Ulagamuthalvi V
Published: April 2019

Big Data analytics is the process of collecting heterogeneous huge sets of data for analyzing .The data are fetched from different sources and can be in heterogeneous form. Data arriving in the big data system will be in giga-bytes for every second. Since, the data are in huge volume, there is a possibility of redundant data that affect the network performance. This article presents the review of different filtering methods and algorithms that are used for duplicate elimination such as Bloom filter, Stable Bloom Filter, multi-layer bloom filter, Counting Bloom Filter with some disadvantages such as false positive and false negative. The aim of this paper is to propose an algorithm for eliminating the duplicate Data in a large data set by using big data analytics.
Investigation of Various Diseases Occurred in Poultry and Management Strategies for Eradication
Authors: Patil Sunil , I.L Chhanwal
Published: April 2019

Poultry plays a significant role in the Indian economy. Around 60 billion chickens are raised per annum as a basis of food for both their eggs and meat. Poultry meat is in significant source of minerals, protein and various vitamins to balance the diet of human. Broiler farming is an important source of family income depending on size of the farm. Chicken farming in Commercial way is the most fruitful business in India and all around the world. Proper farm management practice and care of birds will result in decent profit in a short span of time. In this paper, we are discussing various diseases caused to poultry hen and their preventing or treating methods. Our results shows that some of disease cannot be cured and only it can be prevented. Spreading of disease with the help of contaminated equipment and infected poultry trade is measured as foremost means of spreading of poultry disease. In some countries migratory birds have also been foremost means of spreading of poultry disease like highly pathogenic viruses.
Application of shotcrete constitutive model to the time dependent behavior of TBM tunnel lining
Authors: H. Shaalan Heyam , Mohamad Ismail Mohd Ashraf , Azit Romziah
Published: April 2019

Shotcrete is ordinary concrete applied to the surface under high pressure. It demonstrates a highly time-dependent behaviour after few hours of application. Traditional approaches assume a simple linear elastic behaviour using a hypothetical young modulus to investigate the time-dependency and creep effects. In this paper, a new constitutive model of shotcrete is applied to evaluate the time-dependent behaviour of a TBM tunnel lining and investigate the parameters that can influence this behaviour. The Shotcrete model is based on the framework of Elasto-plasticity and designed to model shotcrete linings more realistically. The basic data of Pahang-Selangor Raw Water Transfer Project is used for the analysis study. An attempt is made to investigate the influence of some input parameters of the shotcrete model on the time-dependent behaviour of the shotcrete lining. These parameters include the time-dependent stiffness/strength parameters, creep and shrinkage parameters and steel fibre parameters. The variation in shotcrete strength classes causes a noticeable influence on the development of shotcrete compressive strength with time, particularly during the first days of application. The creep and shrinkage strain cause a considerable reduction in the development of the shotcrete stress with time. The impact of steel fibre content is determined, and the result indicated that the development of plain shotcrete stresses with time is lower than that of the reinforced shotcrete. In addition, a comparison study is performed to analyse the tunnel lining behaviour using both shotcrete model and an elastic analysis. Significant differences in shotcrete lining stresses are achieved when using the elastic analysis while the shotcrete model results in a reasonable result that can be used for the design requirements.
Linear Genetic Programming, Naïve Bayes algorithm - Their Applications in Geotechnical Engineering
Authors: M Vishweshwaran , . .
Published: April 2019

Modeling soil and rock pose challenges due to uncertainties in their complex behavior.  In the present study, linear genetic programming and Naïve Bayes are used in classification of liquefied and non-liquefied data. Soil and seismic parameters influencing the soil liquefaction potential are used to develop the models. Genetic Programming is the automatic creation of computer programs to perform a selected task using Darwinian natural selection. Linear genetic programming forms a peculiar subset of genetic programming where computer programs in a population are constituted as successive repetition of instructions from imperative programming language. Naive Bayes methods are supervised learning algorithms by applying Bayes’ theorem with the “naive” assumption of independence among all the sets of the features. Accuracy of results of classification for linear genetic programming, Naïve Bayes were found to be 94.12% and 90.59% respectively.
Role of Internet of Things (IoT) in Maximum Power Extraction from BIPV Modules: A Review for Developing Smart Zero Energy Buildings
Authors: Sarkar Debayan , Shukla Apoorva , Kumar Anand , Kumar Sadhu Pradip
Published: April 2019

Evolution of Building Integrated Photovoltaic's (BIPV) technology has resulted in the development of smart buildings as a clean source of electrical energy generation which can either be stand alone or grid connected systems. This paper briefs about the studies on the role of Internet of Things (IoT) in real-time controlling and monitoring of parameters like tilt angles, defected modules, shading effect in BIPV systems etc which decreases the dc power output. In addition, it also describes the use of IoT for maximum power extraction from BIPV modules present in rooftops and facades. Enabling IoT in BIPV installation makes the overall system cost-effective, energy efficient, reliable and can be operated remotely through android apps, smart phones, laptops, PCs, tablets etc via internet which is very easily accessible in recent times. IoT along with BIPV is showing a new direction towards smart generation from renewable energy resources like solar through PV integrated building or construction materials.
Dynamic Characterization of Single Lap Joints in Composite Laminate over Experimental and Computational Approach
Authors: V.Muruga Lal Jeyan J , Rupesh Akhila , Lal Jency , . .
Published: April 2019

The purpose of the project investigates the mechanical characterization of single lap joints namely bonded, riveted & hybrid joints an experimentally and numerically. One of the primary entanglements in the investigation of the mechanics of the composite material is the multiphase disappointment conduct. In the meantime, it is hard to describe all the disappointment modes from a solitary situated example. The outcome of the present venture uncovers the way that the mechanical attributes of the half breed single lap joint is enhanced when contrasted and the qualities of adhesively fortified single lap joints in composite cover. The structure comprises of a get together of sub-structures appropriately masterminded and associated with frame a heap transmission way. Such load transmission way is accomplished utilizing joints. Joints constitute the weakest zones in the structure. Along these lines, to use the maximum capacity of composite materials, the quality and stress conveyance in the joints must be seen so reasonable arrangement can be decided for different applications, for example, aviation, car and marine enterprises.
HSV, Edge Preserved and Huffman Coding based Intra Frame High Efficient video Compression for Multimedia Communication
Authors: Sripal Reddy K , Leelaram Prakash B
Published: April 2019

High Efficiency Video Coding (HEVC) is another pressure standard for high resolution video content, which just needs 50% of the bit rate of H.264/Advanced Video Coding (AVC) at the same perceptual quality. Be that as it may, the computational intricacy is increments dramatically to adopt quad-tree organized Coding Unit (CU). In this document a new Hue Saturation Lightness (HSV), Edge Preserving and Huffman coding (HC) based intra frame high efficient video compression algorithm is introduced which is named as HSV-EPHC-IFHEVC.  To increase the compression ratio of the video frames Huffman and Differential Pulse Code Modulation (DPCM) encodings are used. To improve the de-compressed frame quality in compression Sharpening filter based Edge preserving technique is used. This HSV-EPHC-IFHEVC algorithm provides much better performance compared to existing systems. The performance measurement is in the terms of MSE, PSNR, RMSE and Execution time.
Sentiment Analysis using Machine Learning through Twitter Streaming API
Authors: Akilandeswari P , Harshita R , KO.M Sumanth.
Published: April 2019

Social media allows to share the experiences with many best suggestions and provides opportunities to share the ideas about any topics at any time. In the current trending, twitter is used to gather different kinds of information as user need and it is a social network service which enables the user for better communication and gaining of knowledge. Accurate representation of the user interactions can be done based on the facts sematic content. The pre-processed tweets which are stored in database are been identified and classified whether it relates to the user keywords related posts. The best suggestion using polarity can be predicted using the user keywords. For the interactive automatic system which predicts the tweets posted by the user this system deals with the challenges that appears during the sentimental analysis. It deals with effective study prior to the subjective information. The basic task in this is to identify the polarity of a given tweet in the sentence whether it is positive, negative or neutral. However the polarity of the tweets has been identified, it was difficult for us to check with the meaningless data. To address this challenge the extracted tweets are been pre-processed by replacing the full form instead of short term words. The better performance can be achieved using more training data. However the analysis was frequently done using the previously stored data, it was a challenging task to do it using the streaming data. There are very few works related to the sentiment analysis using online streaming data. In this paper, we propose that the sentiment analysis can be improved using the online streaming data. For online streaming data all the data related to the given topic will be collected according to the current data in the twitter. For better up-to-date analysis, the streaming data is used and can achieve better results. In contrast by conducting the continuous learning from the streaming data, this approach provides better results than the traditional way of using the training data and it achieves the overall performance and computational efficiency.
An Efficient Emergency Message Forwarding Technique with Improved Rebroadcast Suppression for VANETs
Authors: Karimulla Basha S , N. Shankar T
Published: April 2019

Vehicle Ad Hoc networks are important because they can provide communication for moving vehicles without the need of infrastructural services being deployed on the road. To avoid drastic results of accidents on highways the moving vehicles need to be aware of the traffic situation by sending emergency messages using the wireless broadcast channel. The efficiency of such methods implemented to forward emergency messages needs to be elevated for their reliability by considering the vehicle density and broadcast nature of the wireless channel.  Rebroadcast protocols need to perform with minimal delay and generate less traffic in terms of duplicated emergency messages. The current paper studies the use of zone based broadcast suppression method to establish its prominence in reducing congestion.
New construction methodology-geothermal cogeneration plant efficiency improvements for environmental and economic sustainability using waste heat recovery system
Authors: Prakash Arul Jose J , Rajesh Prasanna P , Prakash Fleming
Published: April 2019

Power station is used in geothermal cogeneration or Combined Heat and Power (CHP) plant to generate electric power and heat from a single process simultaneously. Industrial CHP gains attention due to its sustainability and its nature of carbon footprint reduction. In this regard, CHP is more effective than generating steam or burning fuel on-site, and electricity is imported from the grid. CHP is a combined system which finds applications in several techniques and thermal and fuel systems, and these functionalities can be integrated into prevail-ing building structures. In CHP, the modifications are carried out with respect to the energy and user requirements. In heat recovery mecha-nism of CHP plant, several critical parameters are required. The present research work focuses on heat recovery analysis in geothermal co-generation (CHP) plant, in which the methods to lessen the generated secondary (waste) heat is emphasized by enhancing energy efficiency. Further it also includes passive and active strategies. The recent trends of direct electric conversion devices are more useful, and therefore can be introduced in industrial waste heat recovery applications, which are usually applied in CHP or geothermal cogeneration plants includ-ing paper mills and chemical processing and refinery systems, hotels, hospitals, industries and commercial structures, where constant heat and power requirements exist.
Design of low power and high speed implicit pulse flip-flop and its application
Authors: John Kuruvilla , Kumar R S Vinod , S S Kumar
Published: April 2019

In this paper, a new power efficient and high speed pulsed-triggered flip-flop in implicit style with conditional pulse enhancement and signal feed-through (CPESFTFF) is proposed. This novel architecture is presented for the pulse-triggered D-FF in the CMOS 90-nm technology. Two important features are embedded in this flip-flop architecture. Firstly, a conditional enhancement in width and height of the triggering pulses by using an additional pMOS transistor in the structure is done. Secondly, a modified signal feed-through mechanism which directly samples the input to output by using an nMOS pass transistor is introduced. The proposed design achieves better speed and power performance by successfully solving the longest discharging path problem. The simulation results show that the proposed architecture has improvement in terms of power consumption, D-to-Q delay, and Power Delay Product Performance (PDP) in comparison with other conventional P-FF architectures. A 3-bit up counter is also implemented using proposed P-FF.
Proposed Systems for Knowledge Sharing Between the Faculty Concentrating in the Middle East and Gulf Region Area
Authors: Ashraf Badawood Dr , Hamad AlBadri Dr
Published: April 2019

Knowledge sharing is an imperative aspect of every higher education institution. Among the different parties that require information to be shared among them are faculties because knowledge gained in different faculties are also applicable to others. The motivation for understanding the knowledge sharing behavior in faculties in the Middle East and Gulf Region area is because of the current weaknesses in the current knowledge sharing systems and thus, solutions for these weaknesses are recommended. The aim of this study is to provide an understanding of knowledge sharing behavior in the middle-east region and particular in the gulf region. The level of usage of knowledge sharing systems in the university institutions is the main focus while also determining the factors influencing the same. The advantages and disadvantages associated with knowledge sharing are discussed. Effects of knowledge sharing on students’ performance were also assessed. Qualitative research design was used to gather data for this study where secondary sources were used. These included books, scholarly journal articles, reports and credible sources from the internet. From the findings of the research, it was established that factors that some of the main factors that affect the knowledge sharing in universities in the Middle East include inadequate capital, technology resources and cultural differences in the region. Several recommendations have been made to enhance knowledge sharing and these include more commitment by the government to support it by allowing more collaboration between the local universities and foreign academicians who are well experienced in terms of information sharing.
Performance Analysis of Uncoded and Coded 4XN Space Time Block Coded MIMO System Concatenated with MQAM in Rayleigh Channel
Authors: H. Belsare M , P. B. Mane Dr
Published: April 2019

Wireless Communication using Multiple input and multiple output(MIMO) systems are achieving high data rates with increased diversity. This paper presents the performance analysis of half rate convolutionally coded 4x4, 4x3 and 4x2 STBC MIMO system concatenated with MQAM. System performance is analyzed for 4QAM, 8QAM and 16QAM in Rayleigh channel. It is observed that BER performance is better for 4x4 system as compared with other schemes. Results show that BER performances of employed coded 4x4 system is improved over uncoded system in Rayleigh channel.
A novel method for segmenting and straightening of text lines in handwritten Telugu documents based on smearing and regression approach
Authors: Subrahmanyam Mslb. , Vijaya Kumar V , Eswara Reddy B
Published: April 2019

In handwritten document images, segmenting text lines is a very challenging task due to various reasons like variability in intra baseline skew and inter line distance between text lines. So far, no work is reported in the literature for the straightening of handwritten Telugu languages. Telugu is one of the most popular languages of India that is spoken by more than 80 million people especially in South India. Telugu characters are mostly compound characters and that is way the straightening task of Telugu document is more challenging tasks than European languages. This paper introduces a novel approach for segmenting and straightening text lines of handwritten Telugu documents based on smearing and regression approach (SRA). This method initially performs preprocessing and estimates parameters by dividing into connected components of Telugu script. A horizontal and vertical run length-smearing algorithm is used in this paper to shape text lines. To identify text lines more precisely cubic polynomial regression is used between vertical midpoints of two blocks of compound handwritten Telugu characters. A simple logic is derived on this to achieve final process. We tested the proposed algorithm with three different kind of 1000 handwritten documents. The performance of proposed method is evaluated by using matchScore, detection rate, recognition accuracy and F-measure. The experimental results indicates the efficiency of the proposed method over the existing methods.