bluuebunny/crossref_metadata_2025 huggingface dataset:
Development MEIS (Military Education Information System): HRIS (Human Resources Information System) Integration for Competence and Placement of Personnel Positions
Authors:   Computer Science Department, BINUS Graduated Program-Doctor of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia., Setyaningrum* Leli , Meyliana*  ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia., Hidayanto Achmad Nizar ,   Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia., Prabowo Harjanto ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia.
Published: February 2020

MEIS (Military Education Information System) is an information system used in the field of education in military organizations, while HRIS (Human Resources Information System) is an information system in the HRD (Human Resources Department). The rapid development of technology has resulted in a lot of changes aimed at adjusting technology and meeting the needs of the organization, especially in the field of education. The research was conducted on previous research, by paying attention to how and when the development has been carried out. The research found that not too much research was carried out in the military sphere of education. Through several stages in the review of the literature that has been obtained, it is very helpful in a more structured selection. So, from the results of the literature research, it can be seen that there have been some technological updates that have been made, but some are still concepts and plans. The merger between MEIS and HRIS is an effort in optimizing the system so that problems in development related to budget and personnel limitations can be overcome. Problems in the budget and personnel are often found in developing countries that have limitations, especially in the issue of budget and personnel who are professional in their fields. The combination of two or more systems will be able to provide utilization of the system effectively and efficiently by adjusting to the needs of the organization, in this case, the military organization, which has a more complex organizational structure.
Modified Form of PSO and Its Variation in Channel Equalization
Authors:   Assistant Professor,Elecrical Electronics and Communication Engineering, GITAM School of Technology,GITAM Deemed to be University, Bengaluru, Panda* Sunita , Chandran Kamalanathan ,   Associate Professor, Elecrical Electronics and Communication Engineering, GITAM School of Technology,GITAM Deemed to be University, Bengaluru, N Anughna ,   Assistant Professor, Elecrical Electronics and Communication Engineering, GITAM School of Technology,GITAM Deemed to be University, Bengaluru, Sahu Padma Charan ,   Assistant Professor, Electronics and Communication Engineering, GIET University, Gunupur, Karthick Sekar ,   Associate Professor, Electronics and Communication Engineering, GKoneru Lakshmaiah Education Foundation,Vaddeswaram, Andra Pradesh
Published: February 2020

Novelty of PSO is the techniques of parameter improvement. Using many “strategy principles” for the PSO is important for its convergence performance and the optimisation job. In the proposed work, we applied PSO and its advanced form trained with our proposed algorithm for channel equalization. Since particle swarm optimization is matured in the literature ,we apply PSO in its optimized structure trained with radial basis function Artificial Neural Network (ANN). Therefore, this work introduces most favourable design of RBFNN equalizers using OPSO. We treat equalization problem as a classification problem. We assessed a set of fitness functions of modified form of PSO and analysed with it to the presentation of existing PSO .
Implementing Logical Circuits with Four Phase Quantum Dot Cellular Clock using QCA Designer
Authors:   Department of Electronics & Communication Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India., Pathak* Poonam , Singh Rabinder Kumar ,   Department of Electronics and Communication Engineering, Kamla Nehru Institute of Technology, Sultanpur
Published: February 2020

Quantum Dot Cellular Automata (QCA) is treated as a most promising technology after CMOS techniques. The major advantages of QCA techniques are faster speed, lower energy consumption and smaller size. The implementation of clocks play very big role in the effective design of QCA circuits. In this paper, a QCA circuit is designed using the concept of QCA clocks. The proposed study describes a new method of implementing the logical function with power depletion analysis. The proposed logical function uses total number of 57 cells in which the area of each cell 372 nm2. The energy dissipation in this implementation is 18.79 meV and the total acquired area is 0.192 μm2. The proposed circuit is implemented utilizing QCA Designer. The proposal is excellent in the realization of nano-scale computing with minimal power utilization. The results are compared with the existing approaches and improvements of 6% in the area required and 7% in the number of cells are achieved.
Flexural Interpretation of Simply Supported Laminated Composite Beam
Authors:   Department of Civil Engineering, PES College of Engineering, Dr. B. A. M. University, Aurangabad, M.S., India., Tupe* H. , Dahake Dr. A. G. ,   Department of Civil Engineering, G.H. Raisoni College of Engineering and Management , Wagholi, SPP University Pune, MS, India, Gandhe Dr. G.R. ,   Department of Civil Engineering, Deogiri Institute of Engineering and Management Studies, Dr. BAMU Aurangabad, MS, India
Published: February 2020

In this Paper, the analysis of simply supported laminated composite beam having uniformly distributed load is performed. The solutions obtained in the form of the displacements and stresses for different layered cross ply laminated composite simply supported beams subjected uniformly distributed to load. Different aspect ratio consider for different results in terms of displacement, bending stress and shear stresses. The shear stresses are calculated with the help of equilibrium equation and constitutive relationship. Using displacement field including trigonometric function of laminated composite beams are derived from virtual displacement principle. There are axial displacement, transverse displacement, bending stress and shear stresses. In addition, Euler-Bernoulli (ETB), First order shear deformation beam theory (FSDT), Higher order shear deformation beam theory (HSDT) and Hyperbolic shear deformation beam theory (HYSDT) solution have been made for comparison and better accuracy of solutions and results of static analyses of laminated composite beams for simply supported laminated composite beam.
Performance Analysis of KMeans and KMediods Algorithms in Air Pollution Prediction
Authors:   Department of computer Science, Alagappa University, Karaikudi , Tamil Nadu, India., Suganya* S. , Meyyappan Dr.T. ,   Department of computer Science,Alagappa University,Karaikudi,TamilNadu,India., Kumar Dr. S. Santhosh ,   Department of computer Science, Alagappa University,Karaikudi,TamilNadu,India.
Published: February 2020

Air pollution is a major part of human health problems in many cities. Air pollution can cause many negative effects on the environment. The most basic solution for air pollution is humane should have responsible habits and also have to use more efficient devices to predict and control the atmosphere pollution. The nearly everyone important objective of this effort is to analyze and predict the atmosphere smog using data mining techniques. And help to take inevitable carriage steps or decision for protect the future generation from the rapid increase of air pollution. To turn raw data into useful information, Data mining technique is used by many companies. Data mining extract the hidden useful information from the air pollution dataset. It helps and supporting human making decision human, being as responsible, and control/ avoids the air pollution as claimed by the severe level of pollution in the airspace city based. To analyze and predict simple and efficient clustering techniques such as K-Means and K-Medoids has been used.
Medical Image Retrieval using Dual Tree Complex Wavelet Transform and Principal Component Analysis with Haralick Texture Features
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., C. Keerthika , K.* Dr. Rajakumar ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
Published: February 2020

Noise and distortion occurs in all types of medical images (Computed Tomography (CT), Magnetic Resonance Imaging (MRI.)..) and are unavoidable during the stages of image acquisition. We use medical image retrieval to extract the images from database by texture, shaptrix or color features. We use Dual Tree Complex Wavelet Transform (DTCWT) and Principal Component Analysis (PCA). DTCWT extracts the information of images. PCA compress the images. It also minimizes the feature vectors dimensions of all images. Haralick texture features are extracted from images with the co-occurrence matrix. This matrix describes the relationship of pixels. The similar images are found by calculating the similarity measure of the query image and all images in database by Mahalanobis distance. This method retrieves the similar images from database with respect to the input image provided by the user. The performance of the proposed algorithm can be found by precision and recall measures for evaluation. This system can be used in hospitals, clinics etc., for detecting diseases earlier.
Design of Cognitive MCQ test in Virtual Learning Systems to Determine Learner Affect
Authors:   Research Scholar,Department of Computer Engineering, Sardar Patel Institute of Technology, Kelkar* Kavita ,   Faculty,K J Somaiya College of Engineering, University of Mumbai, India., Bakal Dr Jagdish ,   Principal, S S Jondhale College of Engineering, University of Mumbai, India
Published: February 2020

Virtual learning systems are expected to be adaptive to the grasp exhibited by the learner. Learner affects like confusion and confidence are displayed by the learner through behavioural cues. Identifying affect in a non-intrusive, sensor-free and scalable setting is preferable. Using interaction based behavioural log features; methodology for determining learner affect is presented. The MCQ test questions in the system are based on Bloom’s Taxonomy Cognitive levels. The system records interactions of the learner. The regression analysis result on the dataset shows accuracy of confusion detection above 70%.
Design of Attenuation loss and Multipath propagation Model for Underwater Acoustic Communication in Tank
Authors:   Research Scholar, E & C Engg. Department, C U Shah University, Wadhwan, Gujarat, India., Panchal* Sweta S , Dwivedi Ved Vyas ,   Provost, C U Shah University, Wadhwan, Gujarat, India., Pabari Jayesh P ,   Researcher, Plasma Research Laboratory, Ahmedabad, Gujarat, India.
Published: February 2020

The wireless sensor network uses some sort of sensors to detect in general physical quantity of interest. The wireless sensor network has potential to explore difficult-to access area on the earth and the concept is extended to underwater applications in future. Past several years studies has been focused on development of reliable and robust communication systems for underwater wireless sensor network for various underwater applications. The scenario of communication is different in underwater compared to that on land as environment is completely different. Also radio waves cannot propagate for longer distance, so instead of that acoustic waves are used. The efforts are made to devise a model for acoustic frequency ranges in the environment for underwater tanks using basic equations governing various physical phenomena occurring during acoustic wave propagation. The model uses scenario of underwater tank filled with raw water diluted with sodium chloride with communicating devices placed at various distances. Attenuation model can be proposed for such communication scenario with respect to distance between transmitter and receiver for acoustic frequency ranges. The acoustic wave travelling through propagating medium suffers from multiple reflections resulting into multipath propagation. The multipath propagation model is proposed for calculation of length of multipath signals propagating in bounded shallow water. Propagation delays of each multipath signals are proposed. Empirical relationship is developed between number of multipath components and distance between transmitter and receiver. Arrival time lag jitter of various multipath signals are developed with respect to distance between transmitter and receiver and height of transmitter and receiver with respect to water bottom is also proposed.
Optimum Shape for High Rise Mivan and Conventional Structure in Seismic Loading
Authors:   Post Graduating Student Department, Civil Engineering Ujjain Engineering College, Ujjain M.P. India, Choubey* Anuj , Maru Savita ,   Professor of Civil Engineering department Ujjain Engineering College, Ujjain M.P. India
Published: February 2020

Generation is living in a time where in approx. 1.8 million people in India are homeless out of which 52% are based in town. Now a day’s India is heavy populated city in India total 0.15% of the country's total population is homeless. However despite of the explosion in construction activities, the scenario on the housing sector remains far from acceptable. The construction of structure are more composite due to growing human enterprise and the construction industry need to respond to the exceptional challenges presented in front in terms of construction period, economically and durability resulting in affordable residence opportunities for current generation. There is a technology which is capable to overcome the problem the technology is mivan framework technology. Mivan technology is mainly used to construct the tall structures. In this technology we used concrete wall instead of masonry wall. The present paper focuses on the context the use of MIVAN technology for super high rise building and check the seismic response for different shapes i.e. Rectangle Shape, C shape, L shape and I shape of high rise building having irregularity were analyzed by Response spectrum Method using Etab software.
Stock Market Prediction using Artificial Neural Network & Text Mining
Authors:   Associate Professor, PG Department of Computer Application, North Orissa University, Baripada, India,, Mantri* Dr.Jibendu Kumar , Sahoo Amiya Kumar ,   Senior Lecturer in the Department of Computer Science and Engineering in Aryan College of Engineering, Bhubaneswar, Pradhan Dr. Sipali ,   Department Computer Science and IT from North Orissa University, Baripada, Odisha., Dehury Debabrat ,   M. Phil. Scholar, Department of Computer Applications, North Orissa University, Baripada, Odisha.
Published: February 2020

The art of prediction of stock market volatility has always been a most challenged interdisciplinary research problem among scientist due to its highly non- linear nature of market flow. This paper tries to analysis the historical data of BSE Sensex using extreme volatilities estimators, GARCH, ANN and new proposed Text Mining approach for stock market predictions. Finally experimental results illustrates that the new proposed Text model can able to predict the volatilities of the stock price better than other models.
Effect of Different Stabilization Agent on Shear Behavior of Sand
Authors:   Senior Lecturer, Civil and mechanical Engineering schools in Curtin University, Petrh, Australia., Chegenizadeh* Amin , Keramatikerman Mahdi ,   Civil Engineer, Arup, Australia, Nikraz Hamid ,   Professor, civil and mechanical Engineering schools in Curtin University, Petrh, Australia
Published: February 2020

Stabilisation of soils is one of the area that catch interest of many research. Making soil more stable and ready to resist again more loading are the reasons behind the applications. Recently usage of by-product in soils gained a momentum due to the positive environmental effect in terms of removing waste. In this research, three different stabilsation samples were prepared. The stabilization materials effect on the shear strength of sand were compared. The samples were properly blended and checked for homogeneity. All of the mixes apart from sand, had 10% of either flyash or fibre. In order to investigate the effect, direct shear test was used and run in different normal stresses (i.e.50 kPa,100 kPa,150 kPa). After running the direct shear test, the peak values of shear at failure was recorded relevant to each sample and normal stresses. Then the failure envelope plotted for each trial and the results of cohesion and friction angle were compare. The results showed that powder form of material were more effective due to their bonding forces with sand particles.
Fuzzy Relational Scattered Distance Based Clustering Method for Sparsely Distributed High Dimensional Data Objects
Authors:   Assistant Professor, Department of Computer Science, Kongu Arts and Science College (Autonomous), Nanjanapuram, Erode, Tamil Nadu, India.., Pushpalatha* Dr.R. , Sundaram Dr.K.Meenakshi ,   Associate Professor, Department of Computer Science, Erode Arts and Science College (Autonomous), Erode, Tamil Nadu, India.
Published: February 2020

Clustering is one of the most significant ideas in data mining. It is an unsupervised learning model. Clustering technique in handling high dimensional data is more complex due to intrinsic sparsity nature of high dimensional data. Though, existing methods to reduce immaterial clusters were based on spectral clustering algorithm and graph-based learning algorithm, whose lack of sparsity and polynomial time complexity compromises their efficiency when applied to sparse high dimensional data. This paper concentrates to cluster the sparsely distributed high dimensional data objects. Fuzzy Relational Scattered Distance Based Clustering (FRSDBC) method is developed with three models such as Geometric Median Based Fuzzy model, Scattered Distance measure model, Grid based clustered sparse data representation model. Geometric Median Based Fuzzy model calculates the geometric median of similar sparse data and then the non similar sparse data objects to fitting the relational fuzziness across data points. It involves in the subspace reduction of data objects. Scattered Distance measure model is used to measure the distance between the inner and outer object. Grid based clustering is used to calculate the area of the cluster in FRSDBC method. The main idea of the FRSDBC method is to clustering data points over sparsely distributed data within limited processing time. The Clustering Time, Clustering Accuracy and Space Complexity of each method is analyzed. The result of the FRSDBC method is compared with other techniques, the results obtained are more accurate, easy to understand and the clustering time was substantially low in FRSDBC method. It is widely used in many practical applications such as weather forecast, share trading, medical data analysis and aerial data analysis.
Guideline for the Selection of Requirement Prioritization Techniques in Agile Software Development: An Empirical Research
Authors:   Department of Computer Science & IT, The Islamia University of Bahawalpur Punjab, Pakistan., Saher* Najia , Baharom Fauziah ,   School of Computing, Universiti Utara Malaysia, UUM, Kedah, Malaysia., Romli Rohaida ,   School of Computing, Universiti Utara Malaysia, UUM, Kedah, Malaysia.
Published: February 2020

Prioritization is an essential process in any software development. Moreover in Agile, Requirement Prioritization (RP) needs more formal process because it is difficult to maintain priority after requirement change. Changes in the priority list are a continuous process in Agile Software Development (ASD) hence, the ignorance of critical requirements during prioritization will result several problems like unsatisfied client and poor quality of product. Moreover, there is little empirical knowledge on the state of the practice and contemporary problems exist in choosing best prioritization technique after the requirement change in Agile. To achieve this objective a guideline for the selection of RP technique is needed. Hence, the empirical research is used as a methodology for the evaluation of the requirement prioritization techniques practiced in Agile. The aim of this study is to determine RP techniques used in software industry and identify aspect or evaluation criteria to choose the best RP technique according to the environment. This study conducts an empirical study of requirement prioritization after requirement change in Agile, based on the responses from 137 Agile software practitioner representing around 31 organizations in Pakistan. The results reveal the main decision makers in the process of RP, prioritization technique after requirement change in Agile with the evaluation criteria and aspects to perform requirement prioritization. These findings will serve as a foundation to provide a guideline for selecting suitable requirement prioritization techniques in Agile which can help software practitioners to choose appropriate prioritization techniques during the process of requirement change in Agile.
Forensic Technical Process by E-Mail
Authors:   BMS institute of technology and management, bengalurur,india, gupta* Mr.Sudhanshu , R Mr. Anand. ,   Assistant Professor BMS institute of technology and management, india, G. N Dr. Anil ,   Working as HOD and professor in computer science and engineering department BMS Institute of technology and management,bengaluru,Karnataka,india
Published: February 2020

Forensic mail network were based more on the e-mail message structure, whereas email content was rarely used. In different security extension schemes, cyber criminals tend to make use of email protocols by multiple producers over the course of a year for illegal purposes, for example send emails have become the most important digital platform for communication, file transfer and transactions and use not only laptops but also many other electronic gadgets including mobile phones.In this context, a number of forensics open source resources were frequently used by professionals. Furthermore, the misuse of Internet infrastructure by denial of service, storage waste and computer resources costs every internet user directly or indirectly. E-mail forensic is used to the origin and the content of e-mail as evidence, to determine the actual sender, the recipient, and when and how it was sent, etc. These instruments were nevertheless developed in isolation rather than in cooperation. Since forensic email users have to know the utility of a method for forensics research in their own situations. This paper is intended to illustrate the email system architecture from a forensic perspective. It describes the email partners ' roles and responsibilities, the metadata in the email headers
FLAHP Methodology to Adopt towards Cloud Computing
Authors:   Department of Mathematics & Computational Sciences, National Institute of Technology Karnataka, Surathkal, India., Tantry* H. Seetharama , N.N. Murulidhar ,   PhD., Department of Mathematics & Computational Sciences, National Institute of Technology Karnataka, Surathkal, India., Chandrasekaran K. ,   PhD., Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Published: February 2020

In Cloud Computing Environment (CCE), to connect the relationship with multi-dimensional, novel methodologies are expected to improve the conventional development approach. In general, numerous frameworks become legacy system because today’s programs use latest technologies like object-oriented model (OOM) and user requirements change from time to time. To help the legacy system appraisal to satisfy those alterations dependent on CCE highlights, an evaluation technique dependent on the Fuzzy Logic Based Analytic Hierarchy Process (FLAHP) is designed in this study. Fuzzy is a reasonably necessary positioning technique for origination and application when contrasted and for the other multiple criteria decision-making strategies. FLAHP procedure is proposed to conclude the legacy system appraisal from the related viewpoints. FLAHP gives a reasonable and exhaustive system for organizing a choice to communicate and measure components for making the OOM correlations and utilizing complex information about the components depending on the selected criteria. The object-oriented legacy ERP assignment (OO-LERA) framework is the initiated model for the restructuring process. Reengineering legacy system to Modern OO-LERA functionalities incorporates the source code reflection from legacy system. Presented here Legacy Migration Platform Verifier (LMPV) for legacy system transformation. As the name suggests, LMPV checks the OO-LERA indeed for fulfillment of its client’s necessities. The FLAHP is applied to a Banking System Management in result and discussion section.
The use of Partial Glass Powder as Cement Replacement in Concrete M20 Grade on Mechanical Strength
Authors:   M.Tech Student, Department of Civil Engineering, Alakh Prakash Goyal Shimla University, mehli, Shimla – 171013, Himachal Pradesh, India, Baúque* Celso Januário , Thakur Ankit ,   Assistant Professor, Department of Civil Engineering, Alakh Prakash Goyal Shimla University, mehli, Shimla – 171013, Himachal Pradesh, India, Bhartesh  ,   Assistant Professor, Department of Civil Engineering, Alakh Prakash Goyal Shimla University, mehli, Shimla – 171013, Himachal Pradesh, India., Sharma Rajat ,   Assistant Professor, Department of Civil Engineering, Alakh Prakash Goyal Shimla University, mehli, Shimla – 171013, Himachal Pradesh, India
Published: February 2020

surely glass powder in concrete can be considered one of the most important or relevant fibers as partial replacement aiming to change or improving the properties of concrete. This work was made in the endeavor to know the influence of glass powder when is mixed or replacing cement in concrete using proportion 0%, 10%, 20% and 30%, using m20 grade of concrete. Considered two factors as age and mix proportion, was found the compressive results, also the result of tensile and flexural strength results at 3 days, another one at 7 days, at 28 days and 90 days curing concrete, the study was conducted, using cubes specimens after testes was found reporting that using glass powder in the m20 grade of mix design of concrete as cement replacement shows many advantages in its application on concrete, not only in reducing the co2 emissions to earth’s atmosphere as is written on the first part of this work but also the result show that the proportion up to 20% can improve its compressive strength in concrete, in terms of flexural strength was found increasing up to 10% of glass powder when used in concrete and was found also the optimal proportion in split tensile at 20% of glass powder.
Identification of Key Component of E-marketplace to Enhance Service Quality in the Market
Authors:   Department, Computer Science Doctor of Computer Science, BINUS Graduate Program, Bina Nusantara University, Jakarta, Indonesia., Egeten* Angelina Ervina Jeanette , Prabowo Prof. Dr. Ir. Harjanto ,   Department, Management Undergraduate Program, BINUS Business School, Bina Nusantara University, Jakarta, Indonesia., Gaol Dr. Ford Lumban ,   Department, Computer Science Doctor of Computer Science, BINUS Graduate Program, Bina Nusantara University, Jakarta, Indonesia., Dr. Meyliana  ,   Department, Information Systems School of Information System, Bina Nusantara University, Jakarta, Indonesia.
Published: February 2020

Business began with a physical store, which is the place for customer and seller in doing the product transaction. In this era, e-marketplace is proliferating to collect various tenants with various products to join in one same company to give the best service for customers, but every company must strategically compete with each other to survive in the market. The purpose of this study is to find the key components in e-marketplace to enhance service quality in the market, so businesses in this field can focus to develop the services based on the identified components. This study uses systematic literature review to collect all data from various databases; derived from keywords search, search string, inclusion and exclusion criteria, and data extraction. Thirty-eight selected studies that have been identified from data extraction will be evaluated further in this research by mapping them into demographic in trends. Based on the analysis, this research discovers six key components in e-marketplace which are Buyer, Partner, Infrastructure, Content, Online Chat, and Product Prices that can improve quality of service in the market.
Copy-Move Image Forgery Detection using Adhoc Algorithm
Authors:   Dept of Information Science and engineering, Prathyakshini*
Published: February 2020

It is easy make fake images by making use of editing software. It has become an effortless job to put together or detach some attributes from an image. Validation of digital images is very essential. Identifying the fake image is the crucial topic. In order to identify tampered image active and passive detection methods are used. An image can be tampered by using image splicing, copy-move, and retouching. In particular, copy-move attack is considered in this paper. It is essential to find out whether the image is tampered or not. An effective method for detecting forged image is proposed which uses adhoc algorithm. In this algorithm there is no need of original image as it compares the similar pixels in the given image. Clusters which are larger than block size are pulled out. Similar clusters are extracted using some similarity function. The method successfully detects the forged parts in the image and saves the forged image in JPEG format. The performance is measured on various images.
Augmented Reality for Smart Store Assistant: an Application to Club Virtual Aspects into Real World Mall Experience
Authors:   Student, Department of C.S.E, Sreenidhi Institute of Science and Technology, Hyderabad, T.S, India., Krishna* S. Chethan Sai , Sri Guttula Swetha ,   Student, Department of C.S.E, Sreenidhi Institute of Science and Technology, Hyderabad, T.S, India., Samhitha Vootkoor ,   Student, Department of C.S.E, Sreenidhi Institute of Science and Technology, Hyderabad, T.S, India., Rao T. Venkat Narayana ,   Professor, Department of C.S.E, Sreenidhi Institute of Science and Technology, Hyderabad, T.S, India
Published: February 2020

Due to increase in online shopping portals, conventional offline stores are facing a crisis and are losing their prominence. The paper brings about a solution to this, by empowering offline stores with the perks of online stores using Augmented Reality. Enhancing users experience will be a stepping stone to tackle this issue. Augmented reality is the trend these days, anything and everything blended with Augmented Reality is the future we are yet to witness. Augmented Reality is a implementation of various technologies that combines computer generated content and real-world display. The main aim of this paper is to develop application to offer options associated with a certain object alive to the real environment. For example, the price tags being popped up when we arrive at the products, mannequins as similar as the living models, reviews and offer details of a specific product that a user ought to know or for a prospective purchase.
Technology Predicting the Future using Data Mining Techniques
Authors:   Senior Research Engineer of Department of Business Research, Sogang University, Seoul., Moon* Junhwan , Kim* Jinhwa ,   Professor of Department of Management Information Systems, Sogang University, Seoul.
Published: February 2020

The technologies of the future society can make a super connective society where everything is connected and organically interacted, and it promotes “Hyper-Connected”, “Hyper-Intelligent”, "Hyper-Real" as it is possible to become intellectual by techniques such as artificial intelligence and big data analysis. To find out the key triggers by extracting the technologies with these characteristics and identifying what factors and forms are used allows us to grasp changes in the industry due to the rapidly changing domestic environment and the influence of innovation technologies. According to the analysis, the key triggers of major technologies in information society are keywords such as security, technology, service, virtual, and finance which have a great chance to converge with other technologies. The implications of this study are as follows. First, key technologies of domestic information society were identified based on a huge amount of reliable news data. In addition, Network Analysis based on Data, which has increased the frequency of studies all over the field including computer science, sociology and business administration, is applied to predicting the future. Based on this, the methodology has been proposed that can be used to predict the pattern of technology development or notable technologies in the future. This study wasn’t conducted only on one detailed technology, but comprehensively on major technologies extracted in the era of 4th Industrial Revolution and presents Black Swan Prediction to enhance competitiveness of domestic industry in related technologies and create new added value.
Design of Microstrip Patch Antenna for Dual-band Operation using Metal Ring Superstrate
Authors:   Dept. of Electronics, Yuvaraja’s College, Mysuru, India., K. S* Chandrashekar , S Chandramma ,   Dept. of Electronics, Yuvaraja’s College, Mysuru, India., Gajera Halappa ,   Dept. of Studies in Electronics, PG Centre, University of Mysore, Hassan, Karnataka, India., Dutta Koushik ,   Dept. of Electronics & Comm. Engineering, Netaji Subhash Engineering College, Kolkata, India.
Published: February 2020

In this paper, a dual-band generation in rectangular microstrip patch antenna (RMPA) using a superstrate metal ring has been proposed. In this configuration, a metal ring is placed above the rectangular patch with the support of two dielectric posts. The metal ring behaves as a superstrate layer and resonator for the lower band, the other band is generated by microstrip patch and hence the combined configuration metal ring and patch gives dual-band characteristics. The lower band resonates at 9 GHz with an impedance bandwidth of 6.8% and higher band at 11.35 GHz with impedance bandwidth of 3.1%. The co-polarized peak gain values at these frequencies are 8.2 dBi and 10.1 dBi respectively. This may be used in applications like airborne and naval-radar. The prototypes are fabricated using commercially available dielectric substrate (RT-Duriod r = 2.2 and thickness h =1.6 mm). The measured results show good agreement with the simulated predictions
Utilization of Expanded Polystyrene for Embankments Founded on Compressible Soils in The Pk8+650 And Pk10+500 Points of The Tangier-Tangier Med Port Highway's Third Section
Authors:   Applied geophysics, engineering geology, soil mechanics and environment” laboratory, Mohammadia School of Engineers, Rabat, Morroco., Othmane* Hniad , Anas Bahi ,   Applied geophysics, engineering geology, soil mechanics and environment” laboratory, Mohammadia School of Engineers, Rabat, Morroco., Lahcen Bahi ,   Applied geophysics, engineering geology, soil mechanics and environment” laboratory, Mohammadia School of Engineers, Rabat, Morroco., Saâdia Amgaad ,   Applied geophysics, engineering geology, soil mechanics and environment” laboratory, Mohammadia School of Engineers, Rabat, Morroco.
Published: February 2020

This research introduces EPS substitution of embankment soil to the Moroccan context, and the highly compressible soils of the Tangier-Tangier Med port highway’s third section. Compressible soils are a major hindrance when it comes to construction of medium to high embankments, proving to be the source of major instability and inefficient exploitation of Morocco’s transport networks, especially when taking into consideration the lack of options for stabilizing such structures. this study will focus on computing safety factors related to landslide rupture for several expanded polystyrene substitution heights for two different embankments in each point of the aforementioned highway section, and compare said factors to the classical solution of soil treatment by ballasted columns that is mostly adopted in Morocco for similar soil constraints. Results yielded proved very promising for future uses of the newly introduced approach in the country’s problematic soils and promises closer deadlines as well as fewer maintenance and reinforcement efforts.
Material Types and Wall Thickness Effects on Bourdon Tube Tip Travel using Solid works
Authors:   Info-Bionics MSc, Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary, Ebrahim*  , Feras  ,   Ph.D. Student - Department of Solid-state physics – Faculty of Sciences – Tishreen University, Bader  ,   Prof. , - Department of Solid-state physics – Faculty of Sciences – Tishreen University, Neruda  ,   Dr. and lecturer, Faculty of Mechanical and Electrical Engineering - Tishreen University –Syria
Published: February 2020

Bourdon-type pressure devices are used to detect pressure in industrial installations and pressure monitoring systems. Bourdon tubes are manufactured in various engineering shapes like circular-C, helix, and spiral, to serve the use of this tube in terms of positioning and accuracy. The tip of the Bordoun tube is a pressure-sensitive element. The applied input pressure causes the tube tip to be shifted or translated from the initial position. In this study, the pressure measurement in Bordoun tube was simulated at different sections and different axial ratios of multiple metals to obtain the best tube tilp deviation using the Solidworks program. Simulation results expressing the differentiation of tip travel values using four materials, three axial ratios, and four cross-section types. The results show that best material in terms of maximum tip travel was Zinc AZ-12, and for any material and regular wall thickness, the axial ratio (0.3) gives the best response. Also, the results show other materials' response and effect of change axial ratio.
Memory Based Hybrid Dragonfly Optimization for Multiple Key Generation using Cloud Computing
Authors:   Dept. of Computational Logisticshis, Alagappa University, Karaikudi, India, Kaleeswari* C. , Kuppusamy K. ,   Dept.. of Computational Logistics, Alagappa University, Karaikudi, India.
Published: February 2020

Cloud Computing, as a new technology with enormous computing services, evolved in recent era. It is a most promising computing that gives services on - demand. The Cloud services becomes a noticeable paradigm, by it notable features like, shared pool of resources, Shared infrastructure, dynamic provisioning, network access, handled assessing forward with gassed-up, gullibility, resilience and adoptable. Likewise, it has influence, Cloud Computing has some issues like security of data transferred via the Cloud, availability of resources and its authenticity, remains as a major task of attention. A Novel Optimized Encrytion-As-A-Service is presented in this paper, with multiple keys generation methodology. The three various Key generation includes, Pseudo Random Number Generator (PRNG), Sub-optimal keys are generated from hybridization of Improved Cipher Block Chaining (ICBC) encryption algorithm and final key is from Memory based Hybrid Dragonfly Optimization Algorithm (MHDA). In turn, MHDA is the combination of Dragonfly Optimization Algorithm (DA) and Particle Swarm Optimization Algorithm (PSO) for generating the innovative key for encryption of data. MHDA gives the better performance analysis compared with DA and PSO optimization approaches. The milestone of this optimized hybridization algorithm is to reduce the time complexity and increase the quality of encryption of the data. The experimental analysis is done for Text, image data and performance metrics are evaluated for the proposed research work. Different parameter that explores the main capacity and strength of the algorithm is examined.
Day-ahead renewable scenario forecasts based on generative adversarial networks
Authors: Jiang Congmei , Mao Yongfang , Chai Yi , Yu Mingbiao
Published: February 2020

With the increasing penetration of renewable resources such as wind and solar, especially in terms of large-scale integration, the operation and planning of power systems are faced with great risks due to the inherent stochasticity of natural resources. Although this uncertainty can be anticipated, the timing, magnitude, and duration of fluctuations cannot be predicted accurately. In addition, the outputs of renewable power sources are correlated in space and time, and this brings further challenges for predicting the characteristics of their future behavior. To address these issues, this paper describes an unsupervised distribution learning method for renewable scenario forecasts that considers spatiotemporal correlation based on generative adversarial network (GAN), which has been shown to generate realistic time series for stochastic processes. We first utilize an improved GAN to learn unknown data distributions and model the dynamic processes of renewable resources. We then generate a large number of forecasted scenarios using stochastic constrained optimization. For validation, we use power generation data from the National Renewable Energy Laboratory wind and solar integration datasets. The simulation results show that the generated trajectories not only reflect the future power generation dynamics, but also correctly capture the temporal, spatial, and fluctuant characteristics of the real power generation processes. The experimental comparisons verify the superiority of the proposed method and indicate that it can reduce at least 50% of the training iterations of the generative model for scenario forecasts.
Comparação de custos de assentamento de redes de esgoto
Authors: da Silva Rodrigues Patrício , Lacouth Motta Sandra , Obraczka Marcelo
Published: February 2020

O assentamento de redes de esgotos sanitários é uma obra de custo elevado e complexa execução, considerando-se o emaranhado de sistemas de infraestrutura existentes no subsolo de áreas urbanas. O presente
estudo objetiva avaliar métodos de implantação/substituição de redes coletoras, comparando custos de assentamento de Métodos Não Destrutivos (MND) com o método convencional de abertura de vala, incluindo custos diretos e sociais. São apresentadas as principais vantagens e desvantagens de distintas metodologias. A pesquisa enfatiza duas tipologias de MND, analisando aspectos como diminuição do tempo de interdição, rapidez no assentamento e menor área de recapeamento do asfalto, o que minimiza o impacto dessas obras. Os resultados demonstram que os MND podem apresentar custos competitivos e, em alguns casos, mesmo inferiores aos de execução por meio de vala. Uma vez que os MND vêm sendo crescentemente empregados, seu custo de execução tende a se reduzir, tornando-se ainda mais viável.
Análise crítica das rotas de coleta de resíduos sólidos urbanos no bairro centro do município do Crato/CE
Authors: Melo Souza Correia Valquiria , Dantas de Aquino Marisete , Clecio Fontelles Thomaz Antonio , Luís Viana Correia Marcílio
Published: February 2020

O estudo tem o objetivo de minimizar as distâncias percorridas pelo caminhão de coleta e de transporte dos resíduos sólidos urbanos pelos responsáveis por realizar a coleta de lixo, que devem percorrer todas as ruas (arcos) do bairro Centro, no município do Crato/CE, apresentando um modelo de otimização para a melhoria do gerenciamento de coleta e transporte de resíduos sólidos. Para a realização desta pesquisa, foram consideradas as rotas dos caminhões de coleta convencional, que é realizada em dias e horários alternados da semana, pré-estabelecidos pela equipe de trabalho. Para isso, a empresa utiliza dois caminhões compactadores homogêneos (cada um com capacidade entre 9 a 12 toneladas). O processo heurístico do estudo de caso será desenvolvido pelo Problema do Carteiro Chinês Não Orientado, que possui como característica fazer o emparelhamento de nós de um grafo não direcionado. Conclui-se que as rotas otimizadas permitem verificar que uma redução de 10% na distância total percorrida pode proporcionar uma economia de R$ 34.000,00/mês referente a gastos de manutenção e combustíveis dos veículos.
Attitudes of Canadian psychiatry residents if mentally ill: awareness, barriers to disclosure, and help-seeking preferences
Authors: Hassan Tariq Mahmood , Tran Tanya , Mazhar Mir Nadeem , Doan Nam , Munshi Tariq , Bajaj Neeraj , Groll Dianne , Galbraith Niall
Published: February 2020

Background: The medical culture is defined by mental illness stigma, non-disclosure, and avoidance of professional treatment. Little research has explored attitudes and help-seeking behaviors of psychiatry trainees if they were to become mentally ill.Method: Psychiatry residents (n = 106) from training centres across Ontario, Canada completed a postal survey on their attitudes, barriers to disclosure, and help-seeking preferences in the context of hypothetically becoming mentally ill.Results: Thirty-three percent of respondents reported personal history of mental illness and the frequency of mental illness by year of training did not significantly differ. The most popular first contact for disclosure of mental illness was family and friends (n = 61, 57.5%). Frequent barriers to disclosure included career implications (n = 39, 36.8%), stigma (n = 11, 10.4%), and professional standing (n = 15, 14.2%). Personal history of mental illness was the only factor associated with in-patient treatment choice, with those with history opting for more formal advice versus informal advice.Conclusions: At the level of residency training, psychiatrists are reporting barriers to disclosure and help-seeking if they were to experience mental illness. A majority of psychiatry residents would only disclose to informal supports. Those with a history of mental illness would prefer formal treatment services over informal services.
Exploring the experience of residents during the first six months of family medicine residency training
Authors: Martin Dawn , Nasmith Louise , Glover Takahashi Susan , Harvey Bart J.
Published: February 2020

Background: The shift from undergraduate to postgraduate education signals a new phase in a doctor’s training. This study explored the resident’s perspective of how the transition from undergraduate to postgraduate (PGME) training is experienced in a Family Medicine program as they first meet the reality of feeling and having the responsibility as a doctor.Methods: Qualitative methods explored resident experiences using interpretative inquiry through monthly, individual in-depth interviews with five incoming residents during the first six months of training.  Focus groups were also held with residents at various stages of training to gather their reflection about their experience of the first six months. Residents were asked to describe their initial concerns, changes that occurred and the influences they attributed to those changes.Results: Residents do not begin a Family Medicine PGME program knowing what it means to be a Family Physician, but learn what it means to fulfill this role. This process involves adjusting to significant shifts in responsibility in the areas of Knowledge, Practice Management, and Relationships as they become more responsible for care outcomes.Conclusion: This study illuminated the resident perspective of how the transition is experienced. This will assist medical educators to better understand the early training experiences of residents, how these experiences contribute to consolidating their new professional identity, and how to better align teaching strategies with resident learning needs.