bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative analysis of selected human-computer interfaces
Authors: Podkowiak Kamil Bartosz , Burak Damian , Szymczyk Tomasz
Published: November 2019

This article deals with the comparison of two technologies for manipulating 3D objects in terms of ease of use, ergonomics and intuitiveness. The comparison was based on the results obtained from the outcome of test tasks and questionnaires performed on the group of 15 people. Detailed research and test scenarios and additional questionnaires have been made. Each of the respondents had the opportunity to familiarize themselves with the device by performing three tests in two test scenarios (one per device).
Insect Identification Among Deep Learning’s Meta-architectures Using TensorFlow
Authors:   Research Scholar, School of Engineering, RK University, Rajkot & Assistant Professor, Information Technology Cell, Junagadh Agricultural University, Junagadh, Gujarat, India., Patel* Deven J. , Bhatt Nirav ,   Associate Professor, School of Engineering, RK University, Rajkot, Gujarat, India
Published: November 2019

Agriculture provides food for human existence, where insects damage the crops. The identification of the insect is a difficult process and subjected to expert opinion. In recent years, researches using deep learning in fields of object detection have been widespread and show accuracy as a result. This study show the comparison of three widely used deep learning meta-architectures (Faster R-CNN, SSD Inception and SSD Mobilenet) as object detection for selected flying insects namely Phyllophaga spp., Helicoverpa armigera and Spodoptera litura. The proposed study is focused on accuracy performance of selected meta-architectures using small dataset of insects. The meta-architecture was tested with same environment for all three architectures and Faster RCNN meta-architecture performs outstanding with an accuracy of 95.33%.
Algorithm for Identifying Risk Factors in an Industrial Enterprise
Authors:   North-Caucasian Federal University, Stavropol, Russia., Berezhnaya* Olga , Berezhnaya Elena ,   North-Caucasian Federal University, Stavropol, Russia., Solovyova Natalia ,   Nevinnomyssk State Institute of Humanities and Technology, Nevinnomyssk, Russia., Emelyanova Antonina ,   Nevinnomyssk Institute Economics, Management and Law, Nevinnomyssk, Russia., Martseva Tatyana ,   Krasnodar University of the Ministry of Internal Affairs of the Russian Federation (Novorossiysk Branch), Novorossiysk, Russia.
Published: November 2019

This article presents the results of studies on the algorithmization of economic risks using an example of a specific industrial enterprise. The purpose of the study was to generalize the experience in new economic conditions for domestic enterprises and the theoretical justification of the modern approach to managing entrepreneurial risks and developing a risk management program for a particular enterprise.
Assessment of Complexity to design Cloud Software Products
Authors:   Saint-Petersburg State University of Economics, St. Petersburg, Russia., Sokolov* Roman , Andreevsky Igor ,   Saint-Petersburg State University of Economics, St. Petersburg, Russia., Ermakova Anna ,   Stavropol State Agrarian University, Stavropol, Russia., Dronov Stanislav ,   Stavropol State Agrarian University, Stavropol, Russia., Skrebtsova Tamara ,   Stavropol State Agrarian University, Stavropol, Russia.
Published: November 2019

This article shows the relevance of assessing the complexity of designing cloud software products for informatization enterprises in the production of market software products. A classification of cloud software products is proposed depending on the complexity of their design. The distribution of methods for assessing the complexity of designing cloud software products by design stages is recommended. The features of the approach to assessing the complexity of software product design taking into account the requirements of cloud computing and the tasks of the digital economy are formulated.
Determining the 3D Positions of Each UAV based on a Distributed Implementation of Q-Learning
Authors:   Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India, Sravanthi G. L. , Majeti Vasumathi Devi ,   Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India, Nanduri Ashok Kumar ,   Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India, Haritha I. V. ,   Assistant Professor, MLR Institute of Technology, India
Published: November 2019

The main goal this paper is to provide a circulated as well as intelligent treatment to the complication of setting up many UAV-BSs so as to maximize the variety of covered individuals in an unexpected emergency circumstance situation. This problem is actually of high significance in emergency situations, looking at that the fastest a communication network may be set up, a lot more human way of lives can be saved. This optimization worry similarly installs a daunting obstacle, as a result of the contrasting health conditions of the environment, like consumers relocating along with a variety of rates, individuals possessing various criteria as well as additionally the UAV-BSs being limited in both RAN as well as likewise backhaul sources. This paper will certainly create the 3d environments of each UAV located upon a circulated execution of q-learning. Specifically, the important UAV troubles like three-dimensional launch, performance evaluation, system modeling, and power functionality are found along with depictive end results.
Performance Evaluation of Shell-and-Tube Heat Exchanger with 3-Fluid Sets using CFD and NTU
Authors:   Ph.D Scholar, Mechanical Engineering, JNT University, Ananthapuramu, India., Talakonda* Yedukondalu , Jayachandraiah Dr. B. ,   Prof. of Mechanical Engineering, Srikalahastheeswara Institute of Technology, Srikalahasti, India., Reddy Dr. B. Chandra Mohana ,   Head of Mechanical Engineering, College of Engineering, JNT University, Ananthapuramu, India.
Published: November 2019

Energy generation to the present growing population is a crucial challenge for the power sector. Heat exchangers (HE) plays an important role in the industrial development. In this present work an attempt is made to develop a Shell-and- Tube Heat Exchanger (STHE) with segmental baffles using commercial CATIA V5 and Autodesk CFD Simulation Softwares. TEMA standards are considered for design of STHE with baffle-cut of 25%. 3-different sets of fluids are allowed to pass through the shell and tube sides i.e. Methanol - Sea Water (M-S), Distilled Water – Raw Water (D-R) and Kerosene- Crude Oil (K-C). The boundary conditions imposed for analysis are fluid inlet temperatures and velocities. ϵ-NTU is employed for the validation of simulation results and found good agreement between them. Results are plotted for temperature, pressure and velocity contours. The performance of the STHE is shown best for the K-C fluid set among other fluid sets.
Relationship of Nutritional Substance toward HB Content of Chronic Kidney Failure Patients which Running Hemodialysis
Authors:   Jurusan Keperawatan Gigi, Poltekkes Kemenkes Palembang, Indonesia., Listrianah  , Muzakar  ,   Jurusan Gizi, Poltekkes Kemenkes Palembang, Indonesia., Febriyanti Enggi ,   Jurusan Gizi, Poltekkes Kemenkes Palembang, Indonesia., Fudholi Ahmad ,   Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia.
Published: November 2019

Chronic Renal Failure (CRF) is a disease caused due to kidney damage or deterioration glomerulus filtrate rate (GFR/GFR/Glomerular Filtration Rate) <60 ml/min /1.73 m2 for ≥ 3 months. One of the complications that often appears in CRF is anemia or decrease of hemoglobin level in the blood that is related to the relationship intake of nutrients (protein, vitamin C, folic acid and iron). The purpose of this study was to determine the relationship Intake of nutrients (protein, vitamin C, folic acid and iron) on Hb levels of chronic renal failure patients undergoing hemodialysis in RSI Siti Khadijah Palembang. This type of research is an observational analytic with a cross-sectional study design. Population in this study were all outpatients with chronic renal failure undergoing hemodialysis in RSI Siti Khadijah Palembang with total research subjects were 50 subjects, taken using purposive sampling and analyzed using chi-square test. The result showed that there are 52% of patients with chronic renal failure are male more than female. The aged 50-64 years old is 44% and 30-49 years old are 32%. The percentage of outpatients who had an adequate intake of protein, vitamin C, folic acid and iron were 28%, 10%, 0%, and 18% respectively, meanwhile, most of the patients had low hemoglobin levels which were 94%. There was not a significant association between intake of nutrients (protein, vitamin C, folic acid and iron) on Hb levels of chronic renal failure patients undergoing hemodialysis in RSI Siti Khadijah Palembang. Based on these results, should be noted again nutrient intake (protein, vitamin C, folic acid and iron) outpatient before and after undergoing hemodialysis to support the optimal outcome of hemodialysis therapy.
A Systematic Method to Minimize Freshwater Utilization by Multiple Contaminants Network
Authors:   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt., Motasiem* Rabab , Ali Said ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt., Awad Mustafa ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt.
Published: November 2019

A systematic procedure is developed to design and evaluate water by using networks with multiple contaminants. The proposed algorithm contain two sequential steps, in the first step the total, the total possibilities of matching source flows to demand flows were evaluated and a heuristic design technique is proposed based on the results. In the second step, three strategies are suggested to reach high level of operability, two source shift, path relaxation and loop breakage are applied in order to improve the network and minimize interconnections. The proposed approach was evaluated and assessed through a case study. The results are in match with the available data in the literature. In the meantime the computational time to reach confluence was significantly reduced.
Land use/Land Cover and Change Detection in Chikodi Taluk, Belagavi District, Karnataka using Object based Image Classification
Authors:   Department of Marine Geology, Mangalore University, Mangalagangothri, Mangalore, India, C* Santosh , C Krishnaiah ,   Department of Marine Geology, Mangalore University, Mangalagangothri, Mangalore, India, Deshbhandari Praveen G. ,   Department of Applied Geology, Kuvempu University, Jnanasahydri, Shivamogga, India
Published: November 2019

The study examines land use land cover and change detection in Chikodi taluk, Belagavi district, Karnataka. Land use land cover plays an important role in the study of global change. Due to fast urbanization there is variation in natural resources such as water body, agriculture, wasteland land etc. These environment problems are related to land use land cover changes. And for the sustainable development it is mandatory to know the interaction of human activities with the environment and to monitor the change detection. In present study for image classification Object Based Image Analysis (OBIA) method was adapted using multi-resolution segmentation for the year 1992, 1999 and 2019 imagery and classified into four different classes such as agriculture, built-up, wasteland and water-body. Random points (200) were generated in ArcGIS environment and converted points into KML layer in order to open in Google Earth. For the accuracy assessment confusion matrix was generated and result shows that overall accuracy of land use land cover for 2019 is 83% and Kappa coefficient is 0.74 which is acceptable. These outcomes of the result can provide critical input to decision making environmental management and planning the future.
Strengthening of Reinforced Concrete Continuous Beams using GFRP
Authors:   Department, civil engineering department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Naidu G.Ganesh , Prasad M.Sri Durga Vara ,   Assistant professor, civil Department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Kumar K.Anil ,   PG scholar, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India.
Published: November 2019

This research paper gives the behaviour of reinforced concrete continuous beams under static loading by externally bonding with GFRP sheets. A standard two span continuous beams of size (300×300×2500)mm were casted. Reference beam with no external bonding is prepared to compare the values. Identical reinforcement arrangement is done for all beams. RC beams are tested for failure, load capacity and deflection analysis. Test results are compared for reference and GFRP bonded beams.
Formalization in Digital Forensic Triage for Identification of Malicious IoT Devices
Authors:   Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia, Ibrahim Mohammed , Jasser Muhammed Basheer ,   Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia, Abdullah Mohd Taufik ,   Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia, Abdullah Azizol ,   Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia
Published: November 2019

Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can speed up the process of digital investigation. However, few conceptual approaches were proposed to identify malicious devices during IoT forensic investigation. To overcome that, a formal approach is proposed to automatically triage and fingerprint IoT Malicious devices with their respective states. It is expected that with the proposed formal approach, investigators can simply identify malicious devices, their states as well as determine the scope of investigation.
Influencing Factors in Determining Research Data Repository Infrastructure for Research Data Management
Authors:   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Ishak Iskandar , Tajuddin Nur Ilyana Ismarau ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Jusoh Yusmadi Yah ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Sidi Fatimah ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Abdullah Rusli ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Marhaban Hamiruce ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Tugiran Yusnita ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Yusof Yushaida ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
Published: November 2019

Increasing volumes of data are rapidly being produced by researchers with the advancement of digital technologies. In order to manage these data, a suitable research data repository infrastructure is needed by the higher learning institutions. Apart from storing the data, these data repository need to support the research data life-cycle that include the tasks of data creation, processing, analysis, preservation, access and reuse. The objective of this research is to deeply investigate the influencing factors fordata repository infrastructure in managing research data. A systematic literature review is conducted to perform the investigation where research papers are searched over three electronic journal databases. Selected papers are then analysed and a quality assessment has been conducted to identify the relevant infrastructure for research data repository. As a result, we identified the important components of research data repository infrastructure development.
Postgraduate Students Motivation for MOOC Enrollment
Authors:   College of Graduate Studies, Universiti Tenaga Nasional, Jais Juraifa , Chen Soong Der ,   College of Graduate Studies, Universiti Tenaga Nasional, Rahim Rabiah Eladwiah Abdul ,   College of Graduate Studies, Universiti Tenaga Nasional, Din Norashidah Md ,   College of Graduate Studies, Universiti Tenaga Nasional
Published: November 2019

This study was conducted in order to identify the motivational factors for student in pursuing Massive Open Online Courses (MOOC). The respondents of this study consisted of 38 postgraduate students studying in Universiti Tenaga Nasional (UNITEN). The results showed that students are motivated to enroll MOOC which are offered by prestigious universities. Student’s curiosity to learn the content of MOOC is also another important factor. The study also indicated that students are motivated to pursue MOOC which are supplementary to the content of classes offered by other institutions.
Power Quality Improvement of Grid Connected Inverter using DSSC
Authors:   Electronics Engineering, Shivaji University, Kolhapur, Maharashtra, India, Kadam* Miss. Supriya S. , Kanse Dr. Yuvraj K. ,   Electronics Engineering, Shivaji University, Kolhapur, Maharashtra, India
Published: November 2019

In most of the distribution systems, major issue named as Power quality is concern. Maximum power quality problems including harmonic compensation, voltage sags and voltage flickers are mitigating using Distributed Flexible Alternating Current Transmission System (D-FACTS) Devices. Distribution Static Series Compensator (DSSC) is one of the DFACT devices. The Simulation and modeling of DSSC for grid connected inverter with power quality improvement is presented here. Also, complexity and cost can be reduced by using Distributed Static Series Compensator (DSSC). More capabilities are posses by the same. MATLAB SIMULINK model is presented in this paper with results and discussion. Here, Total Harmonics Distortion is calculated with & without DSSC.
A Hybrid Effort Estimation Technique for Agile Software Development (HEETAD)
Authors:   Research Scholar, School of Computer Science Engineering & Applications, Bharathidasan University, Tiruchirappalli, India, Bhaskaran N.A. , Jayaraj Dr. V. ,   Professor, School of Computer Science Engineering & Applications, Bharathidasan University Tiruchirappalli, India,
Published: November 2019

Software development becomes a complex process when the software grows in size or complexity making it difficult to estimate usage of resources or development costs. Software effort estimation is that part of development which helps in assessing resource prior to development. An estimate is a quantified evaluation of the effort necessary to carry out a given development task and most often expressed in terms of durations. Effort estimation is done with an intent to aggregate individual estimates and obtain the overall duration, effort or cost of a software project. The workforce is measured as effort and the total time required is defined for a task in effort estimations which is usually expressed in units (Man-day, Man-month, and Man-year). Most other factors like cost or total time required to developed software are dependent on these estimations. Further, Algorithms used for estimating software developments efforts, may also be imprecise. Thus, Effort estimations plays an important part of software development in planning and monitoring projects. Agile methodology is relatively a new set of practices in software development. Agile estimations are based on many factors. Improperly recorded information from Agile methods can result in erratic estimations thus creating an impending need for precise effort estimations. It is difficult to find a single technique which can suit all conditions. Hence, this paper attempts to estimate agile development efforts by using a hybrid technique based on function points and user stories. Results of the proposed technique demonstrate that the arrived effort estimations based on user stories are efficient.
Symptoms to Disease Mapping and Doctor Recommendation System
Authors:   Department of Computer Science & Engineering, Assam University, Silchar, Assam , India, Acharjee* Tapodhir , Chanda Saurav ,   Department of Computer Science & Engineering, Assam University, Silchar, Assam , India, Nunia Suman ,   Department of Computer Science & Engineering, Assam University, Silchar, Assam , India, Choudhury Abdul Mazid ,   Department of Computer Science & Engineering, Assam University, Silchar, Assam , India, kumar Sanjeev ,   Department of Computer Science & Engineering, Assam University, Silchar, Assam , India
Published: November 2019

To find an appropriate doctor who is specialized to treat a certain disease while only symptoms are known is not easy job for the patients. In this paper, we describe a recommended framework to find the best doctors in accordance with patients' requirements. In the proposed system, first it considers only those doctors whose profile match with patients' requirements. Second, the best doctors will be recommended out of previously obtained doctors based on the parameter patients' feedback i.e., patients' review. Our proposal will suggest a doctor recommendation system that uses review mining technique, which can be used in those countries that have huge uneven distribution of medical resources. In our model we have used the decision tree for symptoms to disease mapping and Naive Bayes classifier for sentiment analysis which are connected to each other using a bridge of python logic and the required output is top doctors based on the users input
Failure Evaluation of Hybrid Joints using Taguchi Method
Authors:   Mechanical Engineering Department, Bharti Vidypeeth (Deemed to be university), College of Enginering, Pune - 411403, India., Patil Mr. Mahesh J. , Patil Prof. Dr. Rajendrakumar N. ,   Mechanical Enginering Department, Bharti Vidypeeth’s College of Engoneering, Lavale, Pune – 412115, Pune.
Published: November 2019

The structural joints for various applications like automobile, aero planes, ships etc. used mechanical fasteners or adhesives for joining purpose. The mechanical fastener increases the weight of the joints and the adhesives have a catastrophic failure nature. So to reduce the overall weight of the joint and avoid the catastrophic failure of the joint, Hybrid Joint, which is the combination of the two methods (Bolts and adhesives) is used. The Analytical Hierarchal process (AHP) is used to select the parameters that affect the performance of the joint. The selected parameters were bolt size, tightening torque, bolt hole clearance, adhesive type, adhesive thickness, overlap length and joint material and the response variables were failure load and displacement The optimum parameters were selected by using Taguchi analysis with L27 orthogonal array experimental design. The significant parameters were found to be Adhesive type, Adhesive thickness and Joint Material.
Adoption of Blockchain to build a Cryptocurrency for Ledger Systems
Authors:   Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India., Abrol Salil , Dureja Ajay ,   Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India., Dureja Aman ,   Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India.
Published: November 2019

The idea of the cryptocurrency was to decentralize the currency system by establishing transactions over distributed peer to peer network [1]. The technology of Blockchain was adopted to achieve this motive. The term blockchain comes from the idea of list of blocks, growing continuously over time wherein every block carries the data relating to the transactions and data regarding the cryptographical linkage using secure hash algorithms and the protocols [2]. Through this paper, we have shown the implementation of the blockchain technology so as to build the cryptocurrency. While building up the cryptocurrency, called the ‘SantCoin’, the idea about how this technology can revolutionize the traditional existing ledger systems can be upgraded so as to implement secure means of transactions over a distributed network. This implementation work suggests the use of technology in almost every governing body so that they can secure themselves and limit the dependency on human resource to do their central authoritative work [3].
Authorship Attribution using Content based Features and N-gram features
Authors:   Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India., Dara Dr. Raju , Reddy *Dr. T. Raghunadha ,   Information Technology, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Published: November 2019

The internet is increasing exponentially with textual content primarily through social websites. The problems were also increasing with anonymous textual data in the internet. The researchers are searching for alternative techniques to know the author of an unknown document. Authorship Attribution is one such technique to predict the details of an unknown document. The researchers extracted various classes of stylistic features like character, lexical, syntactic, structural, content and semantic features to distinguish the authors writing style. In this work, the experiment performed with most frequent content specific features, n-grams of character, word and POS tags. A standard dataset is used for experimentation and identified that the combination of content based and n-gram features achieved best accuracy for prediction of author. Two standard classification algorithms were used for author prediction. The Random forest classifier attained best accuracy for prediction of author when compared with Naïve Bayes Multinomial classifier. The achieved results were good compared to many existing solutions to the Authorship Attribution.
Machinability Analysis And EDM Process Optimization on the Hybrid NANO Particle Reinforced Aluminum Matrix Composites
Authors:   Research Scholar, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India., Venkatesh* R. , Rao Vaddi Seshagiri ,   Department of Mechanical Engineering, St.Joseph’s College of Engineering, Chennai, India., kannan S.Ashwin ,   Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai, India.
Published: November 2019

An Aluminum Al6061 matrix composite reinforced with hybrid nano particles (Cu,Gr and Al2O3 were prepared, in the form of plates, using stir casting technique. Though the researchers are many, reinforcing a hybrid mixture in a matrix and studying the properties are unique and scanty. The material thus developed showed few unique characteristics. The machinability aspects of the material were analyzed. The conduciveness of the machining processes based on the expected surface quality and the rate of material removal were determined. Wirecut EDM was the technique adopted to machine the material and the process was optimized using the central composite design of the RSM technique. The design of experiments was done before the experimentations and the outputs were analyzed using the ANOVA option with the help of Design expert software. Such a material with good machinability could be used to develop the structural support systems like bearings, bushes, etc.
DNN Based Moth Search Optimization for Video Forgery Detection
Authors:   Ph.D Scholar in Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Anantapuramu., Raveendra Malle , Nagireddy Dr.K ,   Professor in Electronics and Communication Engineering NBKR Institute of Science and Technology.
Published: November 2019

Recently, video tampering process becomes easier due to the rapid advancements in user-friendly editing software and multimedia technology (e.g., Mokey by Imagineer Systems, and Photoshop and Premiere by Adobe). This technologies may highly tamper the original videos, so that the audience gets mislead. Nowadays, MPEG-4 codec is included in a large proportions of video cameras and surveillance systems. Therefore the double compression detection process included as an initial step in the video forensic is receiving a high significance. In this paper, the double compression artifacts is detected by adopting the Markov based features, which identifies the interpolated original videos. The double compressed frames are then segmented by introducing an SLIC super pixel segmentation technique. Here, the feature extraction is performed by applying the scale information that is obtained from the multi-scale Gabor filters. The features of this Gabor scale accurately extract the structural features and also reduce too much of redundancy. This extracted features are then provided to DNN (deep neural network) for forgery detection. In this video forensic process, DNN classifier is included for forgery detection. The CNN classifier is included in various existing forgery detection techniques. But, in our work we include DNN because it contains number of hidden layers which provide accurate results for this forgery detection process. To improve the DNN performance, Moth Search Optimization (MSO) algorithm is introduced in this forgery detection technique. Every nook and corner of this world we can able to find the surveillance cameras for security purpose. But, some fraudsters perform forgeries in this recorded videos for their own benefits. To identify this, a lot of forgery detection techniques are coming into existence. So in this work, we introduce the DNN based MSO to perform the forgery detection in videos.This implementation is processed in python simulation platform. The parametric evaluations are taken in terms of F1-Score, average accuracy, Precision, Recall and. Experimental results will provide improved performance in video forgery detection.
Effect of Openings in Stiffened Steel Plate Shear Walls using Ansys
Authors:   Assistant Professor, UIET, MDU, Rohtak., Verma Isha , Setia Dr. S. ,   Professor, Earthquake Engineering, Structural Dynamics NIT Kurukshetra
Published: November 2019

In Recent Years Researchers Have Shown High Interest In Application Of Steel Plate Shear Walls For Construction Of Commercial And Residential Buildings Due To Its Better Seismic Behavioral Properties. Due To Certain Architectural Requirements It Becomes Imperative To Induce Openings Which Compromise With The Load Resisting Behavior Of Building Structures. This Research Investigates The Effect Of Opening On Spsw Using Techniques Of Fea (Finite Element Analysis). The Opening Types Used In Analysis Are Circular And Rectangular Shape. The Cad Model Is Developed In Design Modeler And Analysis Is Conducted In Static Structural Platform Of Ansys Workbench. The Stresses, Deformation And Buckling Loads Are Determined From Simulation.
Heat Transfer Enhancement by the Usage of Low Concentration MgO-Water Nanofluid
Authors:   Research Scholar, Department, of Mechanical Engineering Government college of Engineering Karad, Shivaji University, India., Kadam Sanjay V. , Mohite Dr. Suhas S. ,   professor, Department, of Mechanical Engineering Government college of Engineering Karad, Shivaji University, India., Kumbhar Vishal S ,   Rajarambapu Institute of Technology Islampur Shivaji University India.
Published: November 2019

The current tentative work proposes the convective heat transfer enhancement by means of using low concentrations MgO-Water nanofluid flowing via tube. Nanofluid is the rising heat transfer fluids which consists solid nano-sized particles suspended in base fluid. Total three volume concentrations (0.005%, 0.01%, and 0.05%) and four unique sizes of nano particle (7 nm, 40nm, 60 nm, 100nm) are used to prepare nanofluid with distilled water. There are different correlations available to find nano fluid properties but they are not applicable as these are dependent on number of parameter like base fluid properties, particle size, shape and concentration of nano particle in a base fluid. Therefore actual measurements of different properties are carried out. Experimental investigation is executed for different Reynolds no, particle concentration and different size of nano particle. It is experimental that average heat transfer augmentation of 44.73% is obtained for 0.05% volume concentration (40 nm size) as compared to distilled water. It is found that there is augmentation of heat transfer with amplifying in particle concentration and reducing in size of nano particles. The typical improvement in Nusselt number for particle sizes of 7 nm, 40 nm, 60 and 100nm are found to be 37.76%, 36.53%, 35.15% and 32.26% respectively as compared to distilled water. It is found that as volume concentration increases and size of nanoparticle decreases there is augmentation of heat transfer.
Real Time Activity Logger: a User Activity Detection System
Authors:   University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India, Sharma Hitesh Kumar , Khanchi Ishu ,   University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India, Agarwal Nihal ,   University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India, Seth Pawas ,   University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India, Ahlawat Prashant ,   University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India
Published: November 2019

With the size of the enterprise network is growing, more and more computer terminals, internal information leakage and security threats emerging security incidents and daily management to bring a lot of pressure. Business users need a tracking system to address these security issues.A technique and framework for checking and following the exercises of a client of a PC. Affiliations are set up between the conditions of certain PC framework parameters and explicit exercises. The present movement of the client is then definite by the framework dependent on the present condition of the PC framework. As the condition of the PC framework changes, changes in the client's action are checked and followed. The exercises are followed related to time in order to record the time spent on every movement.Through this project we are developing the understanding of the working and the basics of the Linux operating system. We are analysing the need of monitoring the system and solving the issues related to security, unauthorised access and other threats. Through this tool we are trying to address these issues.
Mechanical and Microstructural Characteristics of Ternary Blended Mortars Incorporating GGBS and Alccofine Subjected to Acid and Sulphate Exposure
Authors:   Department of Construction Engineering , Jadavpur University,Kolkata, India., Mondal Arnab , Ghosh Kushal ,   Department of Civil Engineering, National Institute of Technology,Sikkim,India., Ghosh Partha ,   Department of Construction Engineering , Jadavpur University,Kolkata, India.
Published: November 2019

This experimental study has been carried out to investigate the behavior of ordinary cement mortars and mortars containing ternary mixtures of supplementary cementitious materials(SCM’s) like Ground Granulated Blast Furnace Slag(GGBS), Alccofine along with cement,when subjected to exposure in magnesium sulphate and sulphuric acid solution. Mixes were prepared by replacing OPC with 30% and 50% by GGBS along with 5%,10% and 15% by Alccofine as additives . Compressive strength test were performed on different samples to observe SCMs behavior in different exposure conditions (acid and sulphate )after 56 days. Microstructure studies using scanning electron microscopy(SEM) and electron dispersive X-ray(EDX) analysis were performed on samples after different exposure conditions.
Design, Analysis and Manufacturing of a Weight Lifting Human Sized EXO-Skeleton
Authors:   UG Student, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India, Tadepalli Lakshmi Deepak , Reddy Mr K. Sunil Kumar ,   Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India, Subbiah Dr. Ram. ,   Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India
Published: November 2019

Lifting of various light and heavy objects is the tedious work done by many of the people on many occasions. Manpower is utilized in many areas where heavy materials are to be handled. Nowadays, this lifting of loads for hours together has become very common in every person’s life whether it may be bag or cup of coffee or books, laptop, tools which he works throughout the day, etc. At industries, heavy materials are to be machined and be loaded into the machinery, this requires a person to transfer uneven raw materials up to the cutting or crushing machines. With the EXO-SKELETON, a person can work freely by wearing it on his body and can lift heavy loads as easy without difficulty. The main objective here is to make a person to go through less strain while lifting heavyweights. This can be successfully used in production lines, weight transferring areas, military purposes, even in the medical field where when a person is unable to move his limbs, he can wear and easily can move his body parts. The main raw material used is Mild Steel as it is easily available and cheap. The movement occurs through the air compressor and pneumatic cylinders. The 3-D Modelling of the whole is done in Solidworks 2016 and the analysis of the parts was done in Ansys 18.1 workbench software.
Performance of Aggregate Incorporating Palm Oil Fuel Ash (Pofa) and Silt
Authors:   School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia., Ying Kwek Shi , Awang Hanizam ,   School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia.
Published: November 2019

Depletion of natural aggregate has created more research to explore the utilization of industrial waste as alternative aggregate in concrete construction. The use of industrial wastes in making of artificial aggregate will lead to greener environment. In this study an attempt has been made to find the suitability of waste materials of palm oil fuel ash (POFA) and water treatment sludge as possible substitute for natural coarse aggregate. Specific gravity, water absorption, crushing strength and impact value have been tested for this mixture. Both raw materials were mixed with lime and alkaline activator. The artificial aggregate was air-cured at non-sintered temperature. Results show that the different mix proportions of the POFA to silt affected the performance of the artificial aggregate. Specific gravity and water absorption increased with the proportion of silt. Lightweight aggregate comprising silt combined with POFA and alkaline activator has the potential to produce a good performance of concrete. These benefits contribute to the production of energy-efficient building materials.
Eco-Friendly Anti-Microbial Textile Finish using Cinnamon Bark (Dalchini) and Garcinia Indica (Kokum)
Authors:   Department of Textile Science and Designing, S.N.D.T University, Mumbai, India., Shrimali Khushboo , Dedhia Dr. Ela Manoj ,   Associate Professor & Head of Department Textile & Fashion Technology, Nirmala Niketan College of Home Science, Mumbai, India.
Published: November 2019

The inherent properties of the textile fibres provide room for the growth of micro-organisms. There are many anti-bacterial fibres and chemicals available in the market but unfortunately, they are from synthetic base and are not eco-friendly. Consumers in India are taking lead in prompting manufacturers to adopt clean technologies to produce eco-friendly products. Many natural plant products such as extracts from roots, stems, leaves, flowers, fruits and seeds shows anti-microbial properties. In the present study, anti-microbial finish has been imparted to cotton fabric using ethanolic and acetonic extracts of Cinnamon Bark and Garcinia indica by direct application and by microencapsulation. The ethanolic extract was prepared by using10 gms of herbal material in 100 ml of ethanol and allowed to stand for 24 hours. The acetone extract of the herbs was prepared by refluxing 40gms of each herb in 400 ml of acetone in a Soxhlet extractor. The extracts were applied by directly soaking the fabric in ethanol extract overnight and also by Microencapsulation (for acetone extracts). For microencapsulation, the herbal extract was used as the core material and Gum acacia as the wall material. The treated samples were then tested for their anti-microbial efficiency and also the wash fastness of the finish. It was observed that both the herbal extracts when applied on cotton fabric gives it an excellent anti-microbial property against both gram positive and gram-negative bacteria i.e. Staphylococcus aureus and Klebsiella pneumonaiae. Regarding the wash fastness of the treated samples, it was observed that the finish does not last long. The anti-microbial activity diminishes with every wash and at the end of 5th wash cycle no activity was seen against the selected microbes. However, the limitation of this herbal anti-microbial finish is that it needs to be applied on fabric that is used for disposable products or the products that requires very less washing. The results indicate that the treated fabric is 99.99% anti-microbial and can be used in hygiene products where less washing is required like pillows, curtains, disposable bandages and quilts.
Flow Over Side Weirs with Experimental & CFD Results
Authors:   Research Scholar, , Department of Civil Engineering, ShriGuru Gobind Singhji Institute of Engineering & Technology, Nanded, Mahrashtra, India, S. Ansari U. , G. Dr. Patil L. ,   Associate Professor, Department of Civil Engineering, Shri Guru Gobind Singhji Institute of Engineering & Technology, Nanded, Mahrashtra, India
Published: November 2019

In irrigation, sewer systems and drainage engineering side weirs are used to as a hydraulic control structure from many decades. Labyrinth side weir is a side weir with increased crest length due to folding in plan view as it provides additional length for a given opening. As a flow diversion structure in irrigation, land drainage, urban sewage systems and in intake structures. Labyrinth side weirs can be used more efficiently than conventional side weirs. In this review paper some investigations of researchers with different parameter affecting coefficient of discharge and discharging capacity of side weirs are presented. In review it seems that different parameters are affecting on discharge of side weir has been considered in empirical equations given by researcher but few parameters are left for consideration. In this paper effect of additional parameters like side weir thickness and submergence condition is evaluated by CFD models which can be a research tool to investigate future scope.
Fuzzy Decision Based Median Filter for Removal of Impulse Noise
Authors:   Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India ., Gupta Dr.Kanika , Goyal Ms. Nandita ,   Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India
Published: November 2019

This paper presents the advanced fuzzy decision based median filter for removal of impulse noise present in digital images. The digital images are easily gets disturbed by different types of noises and traditional filters are not able to handle all types of noises present in the digital images. The fuzzy approach is adopted to improve the all other traditional median filters to achieve the optimum performance. This can be seen by adjusting the parameters of fuzzy image filter. The two blocks i.e. of original image and noisy image are taken and the third block can be obtained through the product of these two blocks. The final output image which can be seen as a result of taking mean and median of third block. From the point of view of execution time and PSNR ratios, the image filtering results demonstrates the feasibility and effectiveness of the proposed filter.
Multi-Objective Optimization of Wire Electrical Discharge Machining of AL 2124/SIC Composite
Authors:   Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India, Reddy B Sridhar , Rao A. B. Koteswara ,   Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India, Janardhana G Ranga ,   Mechanical Engineering Department, JNTUA University College of Engineering, Anantapur-515002, Andhra Pradesh, India
Published: November 2019

The growing demand for the use of high strength to weight alloys in industries for manufacturing complex structures challenges the machinability of such advanced materials. In the present investigation, the machinability of SiC particle reinforced Al 2124 composite was studied on Wire electrical discharge machining (WEDM). The process parameters namely pulse on-time (Ton), pulse off time (Toff), peak current (IP), and servo voltage (SV) were optimized by utilizing the central composite design layout. The output responses such as kerf and material removal rate (MRR) were studied in detail. The single and multi-objective optimization was studied for a combination effect using Derringer’s desirability approach and Genetic Algorithm (GA). The experimental and predicted values for each response were validated at the optimized condition. The experimental results were found in line with the predicted values. Multi objective optimization of kerf and MRR by GA showing better result compared to RSM.
Non Linear Differential Optimization for Quality Aware Resource Efficient Routing in Mobile Ad Hoc Networks
Authors:   Research Scholar, Hindusthan College of Arts and Science, Coimbatore., Ilango M. , Kumar Dr. A. V. Senthil ,   Director of MCA, Hindusthan College of Arts and Science, Coimbatore.
Published: November 2019

MANETs is the basic structure less network in which mobile nodes connecting point at which several line comes together to form a network structure. Network resources in MANETs are limited due to their forcefulness study of a given place. A mobile node in MANETs utilizes an interconnected system of things such as data transmission rate and battery power during data packet transmission. Thus the conserving network resource is important to maintain the quality of network services without delay. Therefore, Non-linear Differential Resource Optimization based Quality Aware Routing (NLDRO-QAR) Technique is proposed. The NLDRO-QAR Technique selects the resource optimized route path among multi paths for efficient data packet transmission in MANETs. The resource optimized route path is determined in proposed NLDRO-QAR Technique by choosing mobile node with higher resource availability as optimal nodes. The NLDRO-QAR Technique considers residual energy, residual bandwidth, and delay time as significant factor for computing resource availability of mobile nodes in MANETs. In order to effectively find out the optimal nodes (i.e. mobile node with higher resource availability) in dynamic environment. The NLDRO-QAR Technique chooses the resource optimized nodes in MANETs in order to transmit the packets between source and destination. As a result, NLDRO-QAR Technique efficiently reduces the energy and bandwidth utilization of data delivery in MANETs. The NLDRO-QAR method manage the simulation works on metrics such as energy utilization, average end to end delay, data loss rate and bandwidth utilization rate. The simulations results show that the NLDRO-QAR Technique is able to reduce the energy and bandwidth utilization for routing the data packet in MANETs as compared to state-of-the-art-works.