bluuebunny/crossref_metadata_2025 huggingface dataset:
Cesarean Section Beyond Cesar’s Borders: A Mini Review on the Cultural History of Cesarean Section High Prevalence Rates in the Middle East
Authors: Azimirad Afshin
Published: May 2020

Cesarean section rates have risen significantly in some Middle Eastern countries like Iran, Turkey, and Egypt. Therefore, this review aims to investigate the cultural background for the high cesarean section rates in some Middle Eastern countries to provide the obstetricians and policymakers a better perspective on the crisis. Firstly, the dimensions of the current crisis in the Middle East are discussed. Then, three famous medieval authors are investigated; Ferdowsi (Shahnameh; the birth of Rostam, the Persian superhero, through the cesarean section), Abu Rayhan Biruni (The Remaining Signs of Past Centuries), and Ibn Abi al-Hadid. All these medieval sources try to teach how proud is the one who is born through a cesarean section, and thus a person born vaginally is of a lower rank and therefore less respected. Then, the influencing ancient resources dealing with this subject are reviewed: the birth of Asclepius, the Greek god of medicine, by his father Apollo through a section on the mother’s corpse, and Talmud of the Jews. In ancient times, a birth through the cesarean section was a pure birth, or a gift from gods and restricted to divinities. Hoping to gain a new and comprehensive understanding of this current crisis in the Middle East, the World Health Organization (WHO) guidelines on reducing the prevalence of cesarean section are subsequently introduced. The C-section prevalence has increased significantly in the Middle East; comprehensive national, regional, and international policies are highly demanded.
Ritos e Sociabilidades no Torcer Coletivo
Authors: Lima Rafael Leal de , Moura Diego Luz , Antunes Marcelo Moreira
Published: May 2020

O objetivo deste artigo é analisar as relações de sociabilidade nos estádios de futebol, a partir da interação de uma torcida organizada. Realizamos uma pesquisa etnográfica durante os jogos do Campeonato Brasileiro de Futebol do ano de 2009. Acompanhamos as interações de uma torcida na preparação dos jogos, durante e após as partidas. Ao final, concluímos que não dá para generalizar todos os torcedores como violentos e que há uma demanda de torcidas com princípios pacíficos. Sugerimos que se busque valorizar os gestos de torcidas pacíficas nos estádios.
As ‘Tradições Varzeanas’ nos ‘Times de Camisa’
Authors: Myskiw Mauro
Published: May 2020

O trabalho está vinculado a um debate acadêmico sobre a diversidade cultural das práticas esportivas, especialmente quando isso é tratado na interface com os estudos do lazer. Nesse contexto, apresento um conjunto de questões na expectativa de problematizar a noção de ‘time’ quando ela é tomada na perspectiva de um ‘circuito urbano de lazer’ denominado de ‘municipal da várzea’, desenvolvido na cidade de Porto Alegre. Ao longo do texto, trazendo a experiência de uma pesquisa etnográfica multilocalizada e um estranhamento em torno dos ‘times de camisa’, procuro analisar invenções sociais que não denotam a tradição dos ‘clubes esportivos’, mas que se materializam ‘nos times’ e conferem sentido ao pertencimento e à circulação dos jogadores. Essas ‘outras tradições’, aqui tomadas como lugares-personagens, são os ‘conhecidos do futebol’, os ‘grupos-famílias’, as ‘diretorias’ e os ‘diferenciados’. Tais ‘tradições varzeanas’ ajudaram a compreender ‘os times’ como justaposições de distintas mobilizações, materializando uma infinidade de arranjos de lugares-personagens.
Standarisasi Kepuasan Wisatawan Pengguna Jasa Taman Rusa Lamtanjong Aceh Besar dan beberapa Faktor yang Mempengaruhinya
Authors: Nasir Nasir , Zakaria Zakaria , Yuslinaini Yuslinaini
Published: May 2020

This study aims to determine the extent of tourist satisfaction in using the services of the Great Aceh Lamtanjong Deer Park, analytical equipment used is multiple linear regression with reliability testing and validity tests, so far the results of the study indicate that all independent variables have a positive effect on consumer satisfaction, from the results of the regression coefficient the physical evidence factor becomes the biggest factor affecting tourist satisfaction in the Lamtanjong Aceh Besar Deer Park, then responsiveness is the lowest factor affecting consumer satisfaction. Keywords: satisfaction, tourists, service users
Reliable E Nose System using the Improved Optimization Technique based ANN
Authors:   HoD Department of Computer Engineering in G S Moze College of Engineering, Balewadi, Pune, Kumar Jambi Ratna Raja , Pandey Rahul K. ,   Research guide in Maharishi University of Information Technology, Lucknow, Sarkar Biplab K. ,   HoD, PVPIT, Research guide in Savitribai Phule Pune University
Published: May 2020

(Since from last decade, there is a growing interest in a system that detects the pollutant gases and other environmental information is called Electronic Nose (E-Nose) networks. The gases such as methanol, Liquid Petroleum Gases, ammonia, etc. are harmful for human beings; therefore, such frailness required detecting automatically as well as safety alarm promoted in a specific field. The critical challenges of the E-nose system are efficient to detect with minimum error and overhead. In this paper, we targeted to design the optimized machine learning-based algorithm to detect and alert the pollutant gases, Humidity, O2 Level, and Air Temperature in the real-time datasets. We initiated E-nose design using Artificial Neural Network (ANN). Using essential ANN leads to poor accuracy and error rates, as they failed to select the best solutions during the training process. Thus, we next use the Particle Swarm Optimization (PSO) based ANN called ANN-PSO to improve the accuracy rate and error performances for E-Nose systems. Finally, the proposed Improved Optimization Technique based ANN (IOT-ANN) machine learning model designed and evaluated in current this research work. The IoT-ANN it is based on a bio-inspired algorithm to achieve reliable training during the E-Nose prediction.
Coating Metallic Surfaces in Engineering Applications for Improved Performance
Authors:   Lecturer, Department of Mechanical Engineering, Edo University Iyamho, Uzairue, Edo State., Festus Isaac Oamen , Anthony Edema Ofuafo ,   Lecturer, Department of Mechanical Engineering, Delta State Polytechnic, Otefe-Oghara, Delta State.
Published: May 2020

This paper explains the various types of coatings which include metals, polymers, aerogels and ceramics coatings applied on metal surfaces through different methods so as to prevent oxidation, corrosion, cracking, wear and increase surface temperature. Coatings are covering layers applied to metallic surfaces in engineering applications so as to improve performance. They serve as protection to the underlying material. Literatures had it that coating applied in automobile and stationary engines, gas turbines and other internal combustion engines has helped to increase their brake thermal efficiencies. This happened because of increased surface temperature achieved in the combustion chambers due to low thermal conductivity and matched coefficient of thermal expansion of the coating materials.
Power Quality Improvement using D STATCOM with Instantaneous Symmetrical Component Theory
Authors:   Assistant Professor and Head Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Hyderabad College of Engineering Jagtial., Srinivas K. , Uradi Ajay ,   M.Tech in Electrical Power Systems, Jawaharlal Nehru Technological University Hyderabad College of Engineering Jagtial.
Published: May 2020

A technique is introduced to improve the voltage sag under sudden changes in load. The proposed technique is implemented by D-STATCOM (Distribution static compensator) and it is controlled by ISCT (Instantaneous Symmetrical Component Theory). Due to sudden changes in load, the voltage dip occurs at the time of switching of loads. At this time, the control technique generates reference currents and hysteresis block compares these currents with the reference currents and generates the pulses to D-STATCOM. Implementation of system along with compensation is carried out in MATLAB/SIMULINK
License Plate Detection using OCR with KNN
Authors:   Assistant Professor, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Hareesha D. , Rani V. Susmitha ,   Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India, Chand S.Gopi ,   Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Published: May 2020

This paper presents associate in nursing economical methodology for the detection of vehicle plate by accurately localizing number plates from pictures. A straight forward downscaling of image methodology is projected initial to boost the speed of vehicle plate localization while not reducing the detection performance compared thereupon victimization the first image. Moreover, a completely unique Line Density Filter (LDF) methodology is projected to identify desired regions and eventually reducing the realm to be analysed for vehicle plate detection. Also, a vehicle plate classifier supported SVMs victimization color prominence options employed to spot the vehicle plate from the image. For performance check, a dataset having thirty pictures taken from completely different scenes under different conditions is additionally used. The data set demonstrates that the projected methodology performs well in terms of accuracy and run-time potency.
Improving Web user Experience by Adapting RWD
Authors:   Assistant Professor, Sri Krishna College of Technology, Coimbatore, She had completed her UG Degree in Madurai., Bharathi K. Naveen , Margret M. Kavitha ,   UG student Sri Krishna College of Technology in the Department of Computer Science and Engineering.
Published: May 2020

Responsive Web Design (RWD) is a design which focuses on responsively fitting in whatever device the website is accessed from. It involves writing code for all possible screen sizes and bundling them together. Hence when the website is accessed, the whole bundle alongside the code for all screen sizes are downloaded to the user’s device and acts responsively when the browser window is resized, or the mobile device is rotated to portrait or landscape orientation. RWD can provide a far better user experience than the other designs because it primarily focuses on the user experience. Despite the bundle size being large, this method has proved to be robust in providing a better user experience and has evolved with evolution of web technologies. Latest CSS Media Queries make it possible to even target devices with limited accuracy. CSS Media Queries form the fundamentals of RWD because it is the most used way of targeting devices with various screen sizes.
Types of E Procurement Systems and Technologies Used in the Nigerian Construction Environment
Authors:   Department of Architecture, Covenant University, Ota, Nigeria, Aduwo Egidario B. , Ibem Eziyi O. ,   Department of Architecture, University of Nigeria, Enugu Campus, Enugu, Nigeria, Oluwnmi Adedamola A. ,   Department of Estate Management, Covenant University, Ota, Nigeria,, Adedeji Afolabi O. ,   Department of Building Technology, Covenant University, Ota, Nigeria
Published: May 2020

The use of e-Procurement in the acquisition of construction works and services has witnessed a tremendous growth in the past three decades across the world. However, in a developing country like Nigeria, there is the lack of understanding of the different types of e-Procurement systems and specific technologies used to support the execution of construction procurement tasks. This study, therefore, relied on a questionnaire survey of 759 users of e-Procurement to systematically identify the different types of e-Procurement systems and technologies used in the Nigerian construction environment. The results of data analysis revealed that whereas the common e-Procurement systems used in the study area are those that help in disseminating/receiving information on tender opportunities, exchanging construction project information/data, submitting tenders, awarding contracts, placing orders and making/receiving payment for materials/equipment and services, the use of systems that help in tracking the movement of materials/equipment and monitoring the progress of work on construction sites was not very common. In addition, it was also found that the main e-Procurement technologies used to support the execution of construction procurement activities in the study area were e-Mails, websites and web portals. The study concludes that the over reliance on simple e-Procurement technologies such as e-Mail and websites/portals with limited capacity to engender collaboration, integration and coordination of tasks is inconsistent with the growing sophistication and advancement in construction procurement activities and processes and that this has a tendency to limit the benefits associated with e-Procurement in construction project delivery in Nigeria.
Design and Analysis of Rescue Robot using Micro Controller and Zigbee Technology
Authors:   Assistant Professor, Department of Computer Science, Shri SSS Jain College for Women, Chennai, India, Prasanna S. , Vaishnavi K. ,   Research Scholar, M Phil (Computer Science), Shri SSS Jain College for Women, Chennai, India, Mahalakshmi M. ,   II M.Sc (Computer Science), Shri SSS Jain College for Women, Chennai, India, Niranjana P. ,   II M.Sc (Computer Science), Shri SSS Jain College for Women, Chennai, India, Kumari R. Vinitha ,   II M.Sc (Computer Science), Shri SSS Jain College for Women, Chennai, India
Published: May 2020

Intelligent rescue systems with required information and robot technology have been predicted to alleviate disaster damages. According to an international survey report, a child is losing his/her life by getting fallen in a borehole which is left uncovered is increasing day by day. The main objective of this paper is to introduce a robot which is named as rescue robot which helps to rescue the life from the borehole safely and the various methods to process this implementation. There are many methods available to rescue the child from borehole in which a human should get into the borehole through an alternate way or by impart the machineries which may cause damage to the child as well as to the land also. To avoid these major problems, this paper introduces a rescue robot which shows the child’s condition inside the borehole lively by video camera as well as the methods to rescue the child from the borehole without causing any damage to the life or land. This robot is designed by using the major components such as Zigbee technology, servo motor, micro controller, video camera and laser.
Blockcloud Integrating Blockchain Security Features in Cloud Computing
Authors:   Dept of CSE,BITM, Ballari, Affiliated to VTU, Belagavi, Karnataka, India., Biradar Rajashree V , D Girish Kumar ,   Dept of CSE,BITM, Ballari, Affiliated to VTU, Belagavi, Karnataka, India.
Published: May 2020

Financial technology is the next generation emerging technology, which has drawn the attention of most of the business enterprises. Both blockchain and cloud computing are the two main contemporary parts of Financial technologies. Blockchain provides security for the data through authentication of peers in order to share digital cash, encryption and hash value generation. As per the global financial industry’s prediction, the security related blockchain technology will be increasing beyond 20 billion by 2020. Blockchain technology is used beyond crypto currency and cloud computing is also shifting to meet the changing requirements of industry revolution 4.0. Since Cloud Computing has deployed all its platform for availability and efficiency. This paper discusses about blockchain technology and also enlighten how it’s features can be adopted in cloud computing.
Fifa Ticketing System using Blockchain Hyperledger Sawtooth Platform
Authors:   M.Tech, Electronics and Communication Engineering, BVB College of Engineering and Technology, Hubli Karnataka, India, Lima Milton Bron , Banakar R. M. ,   Professor in BVB Engineering College Hubli
Published: May 2020

In this paper we present an approach to investigate how Blockchain Hyperledger Sawtooth platform can be used in ticketing system to process a secure transaction over a network environment. A framework for a ticketing industry has been proposed to overcome the transactional issues between distributors, vendors, and the customers. A discrete three-layer architectural model is presented that is suitable for the application design development. The Blockchain architecture allows us to maintain the list of records contained in the distributed data base on the network and the validator validates the transaction allowing the transaction processor to authorizes the nodes. The outline of Docker compose demonstrates on how to start the transaction processor from the console for the ticketing application. The methodology indicates the use of algorithm to generate a unique key by importing the python software development kit in our design implementation Finally, the paper also provides the detail analysis of how the transactions are initiated, retrieved, and exported to view the complete block of encrypted data and achieve safe and secure transaction between two parties over a network.
Task Scheduler of Sending Electronic Mails Automatically
Authors:   Department of CSE, Dhanalakshmi College of Engineering, Tambaram, India, Geetha P
Published: May 2020

Nowadays, Every one of every shop, each provisional stores, banking, marketing, etc., everywhere using app to send the any details of each customer should view the message or email alerts. In Earlier days, we used Microsoft Outlook to send and receive emails automatically with limited users of online mode communication. In this paper, scheduler logic will follow to read a data from excel database and used an authenticated email with less secure of SMTP properties that should match with system date. Then, Using Task Scheduler of creating a basic task with a batch file it will send an email automatically. Using any IDE of supports maven properties and setting up a database of scheduler logic was used and batch file of Jar File was created that must be fed into the task scheduler of source link. Finally, Based on System's Date(mm/dd) get the data from excel database and the task of sending emails to be send appropriate users automatically.
A Comprehensive Technique for User Activity Based Twitter Content Summarization
Authors:   Student, Dept. Of Computer Engg., MITCOE, Pune, Gupta Ayushi , Keskar Devyani ,   Student, Dept. Of Computer Engg., MITCOE, Pune, Firodiya Madhur ,   Student, Dept. Of Computer Engg., MITCOE, Pune, Hagawane Siddhi ,   Student, Dept. Of Computer Engg., MITCOE, Pune
Published: May 2020

Going through thousands of comments in order to understand opinion of people on a particular post ingests in a lot of time and resources of the user. By developing this system, we aim that user gets updated with summarized information of all such events in a time constrained manner. It involves merging multiple opinions stated on the social platform and summarizing it to provide the gist of the topic in order to improve ergonomic experience. For this purpose, our system displays both abstractive and extractive summary of the content. Extractive summary generation makes use of Page rank algorithm and abstractive summary generation makes use of RNN (LSTM).
Rule Based Novel Method for Self Healing Attack Revelation for Smart Grids
Authors:   Research Scholar, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad-Karnataka-India, Affiliated to Visvesvaraya Technological University, Belgavi Karnataka India, Kadam Arvind P. , Ankaliki S. G. ,   Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad-Karnataka-India, Affiliated to Visvesvaraya Technological University, Belgavi Karnataka India
Published: May 2020

In this paper, we introduce a new idea for the rebuilding of measuring sensor data collected from the power grid, eliminating the impact of the attack on the integrity of confidential data. The introduced system is based on the reconstruction of Monte Carlo analysis of experimental data and the measurement of actual training data of the transfer function of the information gathered by sensor of the strong nonlinear representation data through the root is added to the sensor measurements based on quality parameters by a clever attacker. For strong, multivariate reconstruction measures against multiple attacks sensors based regulation attack detection is used. The introduced scheme is check out using a standard IEEE 34-bus and real samples were collected from a grid system. The simulation results confirm that the introduced scheme can handle the label and non-label and attacks based on the proposed rules historical measurement data decided on the basis of the received value RAE become. 5.5. Self- healing recovery is possible within 10 msec of time limit if multiple attacks are detected by local system agent then feed gain of agent scheduler is adjusted to 1/4 to 1/3. Finally, if the value of RAE deviates according to the complexity of the time constant increases to 20 msec to recover the original response was very close to that of the nominal case.
Intelligent Short Answer Assessment using Machine Learning
Authors:   Associate Professor, Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, India, D Rosy Salomi Victoria , P Viola Grace Vinitha ,   Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, India., R Sathya ,   Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, India.
Published: May 2020

Education is fundamental for human progress. A student is evaluated by the mark he/she scores. The evaluation of student’s work is a central aspect of the teaching profession that can affect students in significant ways. Though teachers use multiple criteria for assessing student work, it is not known if emotions are a factor in their grading decisions. Also, there are several mistakes that occur on the department's side like totaling error, marking mistakes. So, we are developing software to automate the evaluation of answers using Natural Language Processing and Machine Learning. There are two modules, in the first module, we use Optical Character Recognition to extract a handwritten font from the uploaded file and the second module evaluates the answer based on various factors and the mark is awarded. For every answer being entered, evaluation is done based on the usage of word, their importance and grammatical meaning of the sentence. With this approach we can save the cost of checking the answers manually and reduce the workload of the teachers by automating the manual checking process. The evaluation time is also reduced by using this software.
An Appraisal of Diverse Image Augmentation Methodologies
Authors:   Ph.D., computer science in SGBAU, Maharashtra, Sonawane M. S. , Dhawale C. A. ,   Ph.D., computer science in SGBAU, Maharashtra
Published: May 2020

Image augmentation is very significant, challenging methods in image exploration. The intention of augmentation of the image is to expand the graphical image form, or to give a superior renovated illustration for imminent programmed image treating. Various images such as aerial images, images of satellite, medical images, etc., undergo for noise and meager contrast. Therefore, it is obligatory to eliminate the noise and to augment the contrast in order to upsurge image superiority. Among imperative phases in medical images exposure and investigation is an image development practice that develops the worth or lucidity of images for hominoid seeing, eliminating noise and blurring, rise contrast, and enlightening minutiae are cases of enrichment maneuvers. The augmentation practice varies from one arena to another rendering to its purpose. The present methods of image augmentation could be divided into 2 groupings: frequency, spatial domain enrichment. This work offers a brief summary of image augmentation methods in spatial territory. More precisely, paper classifies processing methods centered representative techniques of Image augmentation. Hence an impact of this paper is to categorize and analyze image augmentation methods, effort for evaluation of inadequacies and common desires in an arena of dynamic investigation and at last paper focuses on auspicious information on exploration for image augmentation for imminent study.
Estimation of Efforts During Testing of OOP using The AVISAR Framework
Authors:   AIMACT, Banasthali Vidyapith, Rajasthan, India, Vats Prashant , Mandot Manju ,   Professor, J. R. N. Rajasthan Vidyapith, Udaipur, Rajasthan, India
Published: May 2020

In this research paper we have proposed our research work on the evaluation of efforts during the testing of OOP using the AVISAR object oriented testing framework which is based on the Genetic Algorithm. The proposed framework AVISAR provides a platform to address the issues which are related to the testing of Object Oriented aspects of OOP like Polymorphism, Inheritance, Polymorphism etc. which plays a key role in Effort Estimation of an Object Oriented Software.
River Water Assessment and Prediction Modelling
Authors:   Department of CSE, SRM University, Chennai, India, Darshini Visnu , Satwik Manu ,   Department of CSE, SRM University, Chennai, India, Harshith Prudhvi, ,   Department of CSE, SRM University, Chennai, India
Published: May 2020

This is a wireless based water quality checking system. It is a WSN which includes a raspberry pie for processing the system and various sensors like pH, turbidity, temperature, conductivity. Internet of things acts as a query to response service and remote communication technology in sending and receiving the data. Using k-means clustering a machine learning algorithm which helps in measuring large amounts of data and comparing the data with the standard values. Any fluctuations in the data with the recorded values will notify the system. The information is monitored constantly and consigned to a cloud. Therefore this system immensely helps in assessing the quality of contaminated water with prediction modelling.\
Identification and Environmental Issues of Polluted Sea Water
Authors:   Assistant Professor, Department of Civil Engineering, Mohamed Sathak Engineering College, Kilakarai - 623 806, Tamil Nadu, India., Gafoor S. Abdul , Ali R. Nasar ,   Assistant Professor, Department of Civil Engineering, College of Engineering and Technology, Samara University, Afar, Ethiopia., Hameed M. Shahul ,   Research Scholar, National Institute of Technical Teachers Training and Research, Chennai-600 113, Tamilnadu, India, Begum S.Sabeena ,   Assistant Professor, Department of Physics, Mohamed Sathak Engineering College, Kilakarai - 623 806, Tamil Nadu, India., Rahman D. Zunaithur ,   Assistant Professor, Department of Civil Engineering, Mohamed Sathak Engineering College, Kilakarai - 623 806, Tamil Nadu, India.
Published: May 2020

Marine pollution is a major problem nowadays in our country. Contamination is the entrance into the environment of toxic chemicals. Every material that has undesirable changes in its composition, position or quantity can be the pollutant in terms of the physical, chemical or biological properties of air, water, and soil. The pollution level is higher in the nearby seashore because the density of waves is lower in the nearby sea. 70% to 80% of oxygen for humans comes from the sea. Marine pollution generally affects ecosystem health, public health, quality of recreational water and economic viability in the following ways: Mechanical, Saphrogenic, Mutagenic, and Carcinogenic. Non-biodegradable plastic is a large portion and a major danger. Sea turtles err in their jellyfish plastic bags and die from internal blockages. 100,000 marine mammals are killed and two million birds die every year. The water is contaminated by pollution by the precipitation of the soil, by air-borne rain and by shipwrecks. Human activity releases 5-fold mercury and17-fold lead from natural sources. Tourism development results in water pollution not only in water-scarce areas with relatively abundant water resources. Because water is used extensively in the tourism industry, it is apparent that during tourism growth, tourism will have an important impact on the climate of the water, including water pollution and a lack of water, which are the key barriers to the creation of a sustainable tourism industry. Solid waste disposal in the sea (they didn’t decompose they get dumped inside the sea). Due to ship accidents in the sea oil gets contaminant inside the sea, some special species are fully destroyed because of this problem. So we are collecting a water sample from East Coast Region in Ramanathapuram District, Tamilnadu, India. Detect the amount of pollution in the water sample through a test and compared it with permissible limits.
Optimizationof the Dampers Positionin High Rise Building
Authors:   Assistant Professor, Department of Civil Engineering, MLRITM, Telangana India, Aman A.K. , Vimala A. ,   Professor & Head, Department of Civil Engineering, AGI, Telangana India., Saravanan M. ,   Professor, Department of Civil Engineering, MLRITM, Telangana India.
Published: May 2020

In India the need of high-rise buildings are increasing day by day and it is being constructed also but most of them has common issue of low natural damping. So, increasing capacity of damping of a structural system has become common in the new generationfhighrisebuilding. Itcanbe controlledby variousmeans but selecting damper has a number of factors as efficiency, capital cost, operating cost, compactness and weight, maintenance requirements and safety. In this presentstudy analysis of anR.Cframed high-rise building of 15 storey located in seismic zone V and soil type III having plan dimension 24 m x 25 m and the total height is 45 m is assigned with dampers at different positions (a) building without damper (b) building with dampers at face corner (c) building with dampers at face Centre (d) building with dampers at inner corner (e) building withdampersatinnerCentre is carried out.Theparameterslike roof displacement, storey drift, base shear, ultimate displacement, ductility factorand patternofhinge formationwere investigated and resultswere compared. Itisobserved thatthemodelwithdampers atinnerCentrehasless roof displacement and storey drift as compared to other models whereas the model with dampers at inner corner has more base shear, ultimate displacement and ductility factor. Above analysis is done inEtabs.
Novel Pruning Techniques in Convolutional Neural Networks
Authors:   Assistant Professor in the Department of Computer Science and Engineering in Northern India Engineering College affiliated to GGSIPU, Delhi, Rahul  , Dahiya Hritik ,   Pursuing B.Tech, Department of Computer Engineering at Delhi Technological University, India., Singh Divyansh ,   Pursuing B.Tech, Department of Computer Engineering at Delhi Technological University, India, Chawla Ishan ,   Pursuing B.Tech, Department of Computer Engineering at Delhi Technological University, India
Published: May 2020

Deep Learning allows us to build powerful models to solve problems like image classification, time series prediction, natural language processing, etc. This is achieved at the cost of huge amounts of storage and processing requirements which are sometimes not possible in machines with limited resources. In this paper, we compare different methods which tackle this problem with network pruning. Selected few pruning methodologies from the deep learning literature were implemented to display their results. Modern neural architectures have a combination of different layers like convolutional layers, pooling layers, dense layers, etc. We compare pruning techniques for dense layers (such as unit/neuron pruning, and weight Pruning), and convolutional layers as well (using L1 norm, taylor expansion of loss to determine importance of convolutional filters, and Variable Importance in Projection using Partial Least Squares) for the image classification task. This study aims to ease the overhead in terms of optimization of the model for academic, as well as commercial, use of deep neural networks.
A Secure and Efficient Multi Authority Encryption Scheme in Cross Domain Data Sharing
Authors:   , SCSE, Galgotias University, Greater Noida, India, Atlas L. Godlin , P Arjun K. ,   SCSE, Galgotias University, Greater Noida, India., M Sreenarayanan N. ,   SCSE, Galgotias University, Greater Noida,, Thillaiarasu N. ,   SCSE, Galgotias University, Greater Noida, India.
Published: May 2020

Attribute Based Encryption (ABE) in light of the fact that the rule locals to make sure about the patient data set aside on a semi-trusted. In ABE plot, each patient is regularly recognized by name which fuses the patient attributes. At the reason when Patient re-proper the delicate data for sharing on cloud system on cloud structures. Taking care of the patient records on suspicious limit makes secure transfer of data to be a test issue. To remain tricky customer data mystery against suspicious cloud structure. the current system when in doubt apply cryptographic techniques by revealing data unscrambling keys just to affirmed customer. the basic troubles for cryptographic technique fuse at a proportional time achieving structure flexibility and fine-grained data get the opportunity to manage, gainful key or customer the load up, data security, computational overhead then forward. To manage these issues, promptly applied and maintaining access approaches snared in to attributes and sanctioning the information owner to designate most count genuine assignments to customer disavowal to untrusted server without uncovering data substance to around then. We achieve this target by introducing multi authority characteristic based encryption. Our proposed plot in like manner has momentous features of customer get the chance to benefit characterization, dynamic modification of access game plans or archive properties and customer puzzle key duty, supports capable on-demand customer or trademark denial and break-glass access under emergency circumstances.
A Novel Automatic Way of Finding Direct and Linear Sequential Inherent Relationships in the Data
Authors:   Department of Computer Science, Dravidian University, Kuppam, India, Mabuni D.
Published: May 2020

Finding linear sequential relationships (LSRs) in the data and applying them for obtaining fruitful results is an essential task in many modern day to day useful real and simulation based applications. In many previous research applications many research people usually assumed that there exists certain relationships in the data and then they have tried to bring forth some useful results after processing the selected datasets using one more data mining, machine leaning, and big data techniques. Take it for granted assumptions on the data may not be true in all the cases and in all the applications. The purpose of the present study is to bring out some automatic, smart, simple, scalable, fruitful and useful data analysis techniques after analyzing the datasets in the hand and at the same time assumptions on the data are not considered just like the general fashion of take it for granted option. The proposed model is particularly useful and applicable for finding the drug to disease relationships.
Business Sentiment Quotient Analysis using Natural Language Processing
Authors:   Research Scholar, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India,, Salim Syed , K Madhu B ,   Professor and Head, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India,
Published: May 2020

Online business has opened up several avenues for researchers and computer scientists to initiate new research models. The business activities that the customers accomplish certainly produce abundant information /data. Analysis of the data/information will obviously produce useful inferences and many declarations. These inferences may support the system in improving the quality of service, understand the current market requirement, Trend of the business, future need of the society and so on. In this connection the current paper is trying to propose a feature extraction technique named as Business Sentiment Quotient (BSQ). BSQ involves word2vec[1] word embedding technique from Natural Language Processing. Number of tweets related to business are accessed from twitter and processed to estimate BSQ using python programming language. BSQ may be utilized for further Machine Learning Activities.
Effect of Remixing & Intermittent Curing Sequences on Strength of Pavement Quality Concrete
Authors:   Research scholar, TEP, Civil Engineering Dept. at Sardar Vallabhbhai Patel National Institute of Technology, Surat, Gujarat, India, Shinde Vishal B , Kumar Rakesh ,   Professor, TEP, Civil Engineering Dept. at Sardar Vallabhbhai Patel National Institute of Technology, Surat, Gujarat,
Published: May 2020

The paper is concerned with determining the effect of remixing of two different grades of concrete proving blend ratio, time lag & intermittent curing sequence. Two mix designs (M40 & M50) selected and provide blend ratio (0 to infinity) at 0,30,60,90 & 120min time lag. In this research, the problem related to improper casting & curing sequence, which ultimate formation of the cold joint due to old and fresh concrete. Curing method applied with four sequences Air0 Water28, Air28 Water0, Air7 Water21, and Air21 Water7.Concrete samples were made and tested for their compressive strength, flexural strength, elastic modulus, and shrinkage properties in the laboratory. As compared to the strength of freshly prepared concretes to the hard in situ concrete tends to show a reduction in its various strengths due to improper curing & formation of cold joints. This reduction is further possible to be minimized to a certain extent on blending some quantity of a relatively fresh mix to the existing quantity of the hard in situ concrete.
Novel corona 2019: virus above human defying laws
Authors: Mishra Dr Pallav
Published: May 2020

COVID-19 caused by SARS CoV-2 struck this world in the industrial city of Wuhan (China) in December 2019, and was crowned as a pandemic by the World Health Organization (WHO) on 11 March, 2020. The virus had a high infectivity to begin with, but mortality way under 4% as was quoted in various guidelines and expert assessments belonging to COVID-19 effected countries.
COVID-19 pandemic and precautionary measures in Pakistan
Authors: Muhammad Anees , Owais Muhammad , Ali Nasir , Khan Hidayat
Published: May 2020

The current outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has attained the dimensions of a pandemic and World Health Organization (WHO) has declared it a global emergency and given it a name of COVID-19. It may remain asymptomatic, but usually presents as influenza-like symptoms initially. It spreads from zoonotic sources, which are still under investigation. Real Time Polymerase Chain Reaction (RT-PCR) is the only available diagnostic and confirmatory lab assay for SARS-CoV-2. There is no specific antiviral drug or vaccine against SARS-CoV-2, hence infected and suspected cases are dependent on supportive treatment along with few anti-HIV drugs. Evidence suggests that, in Pakistan, all cases have returned from Iran and Saudi Arabia after pilgrimage. The number of patients has been increasing gradually. Almost all of the neighboring countries of Pakistan are suffering from an outbreak. So, a big threat is there. Pakistani health authorities need to take critical action urgently. Moreover, it is necessary to take basic preventive measurements including hand washing, use of face masks, keeping the distance from suspected patients and avoiding unnecessary traveling to overcrowded areas. It is concluded that the developing countries might be at higher risk including Pakistan. Personnel and community-based strategy is required to avoid any serious consequences in Pakistan. We searched relevant studies and papers from Google, Google Scholar, National Institute of Health (Pakistan) and WHO by using various medical subject heading (MeSH) terms including COVID-19, SARS-CoV-2, MERS, Preventive Measurements of COVID etc. All downloaded articles were carefully read and conclusions drawn.

Citation: Muhammad A, Owais M, Ali N, Khan H. COVID-19 pandemic and precautionary measures in Pakistan. Anaesth pain intensive care 2020;24(1):_

DOI: https://doi.org/10.35975/apic.v24i1.

Received – 20 March 2020;

Reviewed – 22 March 2020;

Accepted - 27 March 2020;
高校专业课程思政的教学改革探讨———以《国际物流》课程为例
Authors: 朱 琳
Published: May 2020

在经济全球化的背景下，国际物流和国际贸易的迅速发展促进了全球互惠共赢，需要依据法律和国际惯例开展贸易活动。将《国际物流》课程进行课程思政改革，这是社会主义核心价值观的重要体现，这也是全面提升教育实效所进行的有益尝试，论文通过分析“大思政”背景下《国际物流》课程思政改革路径、具体方法和实施成效，阐述了其对培养具有全球化视野和专业精神的国际物流人才的意义。
交通基础设施投资对区域经济发展的影响及优化
Authors: 刘 政豪 , 张 维烈
Published: May 2020

中国国民经济发展水平在不断提升，交通基础运输在国民经济协调发展中占据着重要位置，直接关系着区域经济的发展，这逐渐成为政府部门关注的重点内容。在新时期的发展中，交通基础设施投资与区域经济发展之间的联系十分密切，相关部门必须予以重视，论文主要对交通基础设施投资对区域经济发展的影响及优化进行了分析。
内陆城市实现经济高质量发展的思考
Authors: 朱 丽
Published: May 2020

发展是解决一切问题的基础和关键，必须坚定不移贯彻新发展理念，实现科学发展。内陆城市在转向高质量发展阶段面临着巨大的挑战。结合实际，内陆城市实现经济高质量发展需要从加大开放、筑实产业、强化保障等方面努力。
严寒地区别墅群挂瓦斜屋面的防水施工技术及质量控制
Authors: 殷 忠孝
Published: May 2020

以吉林中星总部基地住宅地块项目为例，分析严寒地区别墅群挂瓦斜屋面防水施工，介绍工程概况，分析挂瓦斜屋面与防水施工要点，阐述防水施工技术，提出 6 点质量控制建议，为今后严寒地区建筑施工提供参考。
新型盘扣式支架在现浇连续梁中的应用技术
Authors: 罗 东志
Published: May 2020

论文结合工程实例，就新型盘扣式支架施工工艺及施工控制要点展开论述。结果表明，运用盘扣式支架施工，其支撑承载能力大，整体稳定型号，施工速度快，经济效益好，能够为同类型桥梁工程施工项目提供借鉴和参考。
数字化测绘技术在工程测量中的应用探究
Authors: 王 之栋 , 李 超 , 方 耀宁 , 王 志强
Published: May 2020

论文就数字化测绘技术的发展以及应用意义、数字化技术的特点和在工程测量中的实际应用方面做了简单研究，希望对促进中国数字化测绘技术的发展，提高数字化测绘技术在工程测量中的应用水平起到一定的借鉴意义。
超深明挖基坑基底开挖防涌水技术研究
Authors: 王 冬冬 , 吴 晓赞
Published: May 2020

在超深明挖基坑开挖施工中，受地下水影响致基坑开挖施工难度增大。为提高基坑开挖稳定性，对后浇排水法、盲沟引水法、盲井排水法进行对比，最终选择了盲井排水法对基底涌水进行及时处理，有效降低了施工风险。
IDENTIFICACIÓN DE FACTORES DE RIESGO PARA LA PRESENTACIÓN DE CETOSIS SUBCLÍNICA EN GANADO BOVINO LECHERO
Authors: Redrovan Passato Daniela Carolina , García Flores Joar Marcelino , Durán Aguillón Luis Enrique
Published: May 2020

Un mal manejo sanitario, reproductivo y multifuncional en la ganadería lechera causa una mayor incidencia de problemas metabólicos como la cetosis clínica y subclínica, que son considerados como críticos durante el periodo de transición. La cetosis subclínica representa un desafío para las personas que la enfrentan en sus vacas, porque está subdiagnosticada y genera gran impacto económico relacionado con trastornos de salud que reflejan pérdidas en eficiencia reproductiva, producción lechera y bienestar animal. El objetivo del estudio consistió en analizar la producción lechera, la condición corporal y número de partos como factores de riesgo para la presencia de cetosis subclínica en vacas lecheras y determinar su asociación en una explotación de leche. Mediante criterios de inclusión y exclusión, se seleccionó registros con un muestreo de orina de 29 vacas en el preparto, parto, y 15, 30, 60 y 90 días post parto. Esta información se analizó con la prueba estadística Chi cuadrado de Pearson cuyos resultados muestran que la presencia de cetosis subclínica depende de la producción lechera a los 60 días post parto (p < 0,05) y a los 90 días post parto (p < 0,05). El valor de 0,57 se obtuvo para la prueba V de Cramer a los 60 días post parto y un valor de 0,61 a los 90 días post parto, demostrando un 57% - 61% de asociación entre la producción lechera y la cetosis subclínica, considerándola como factor de riesgo. Se concluyó que la producción lechera tiene relación directa con la enfermedad, al mismo tiempo que se categorizó a las variables condición corporal y número de partos como independientes y sin asociación entre sí.
PEOPLES’ PARTICIPATION AND PERCEPTION TOWARDS URBAN GOVERNANCE: A STUDY OF BARDDHAMAN MUNICIPALITY, WEST BENGAL
Authors: Dr. Chhanda Karfa
Published: May 2020

In urban areas the gap between the resources and expenditure has increased every year. As a result, urban amenities and services have started deteriorating in their standard. Civic life in urban areas has become, on many occasions, painfully intolerable and people have become relatively less involved in matters of urban governance. As a result, the unfulfilled aspirations have kept the citizens and the municipal governments as alien entities to each other in some cases. All-round development of urban space is not possible in such a socio-political situation. So it is essential for urban geographers to study the state-people interrelationship in urban areas to help both the policy-makers and the city-dwellers in a comprehensive way. The municipal government may be viewed as an instrument of institutional interference upon the selectivity of the citizen and also a logical necessity emerging from the incapability of individual citizen to regulate the affairs of the large community. The main focus of this study is to analyse the awareness of the citizens regarding their urban governance as well as to enquire the perception of the city dwellers regarding their municipal governance. This paper is based on the empirical survey done with the help of both qualitative and quantitative methods. The data used in this paper are collected from both the primary and the secondary sources.
KEY WORDS: Urban governance, Perception, Transparency, Awareness, Efficiency
Stakes and challenges in building and analyzing a client database: A case study of a French company.
Authors: Desveaud Kathleen , Mallol Jean
Published: May 2020

In this new data era, client databases analysis is an essential asset for marketing departments. However, no study has been conducted so far to determine if those departments can take full advantage of this new opportunity. Through the conduct of a case study with a French company, major issues in the structuration of customer databases were observed, showing a lack of communication and collaboration between the technical teams in IT and the Marketing teams. Several recommendations related to the development of a cross-functional data governance and management are given in this study.
Satisfaction à l’égard des moteurs de recommandation : la transparence optimale
Authors: Vautrot Pauline , Benavent Christophe , De Pechpeyrou Pauline
Published: May 2020

L’objectif de la recherche est de tester l’impact d’une stratégie de transparence sur la satisfaction des internautes à l’égard des moteurs de recommandation. Une expérimentation longitudinale auprès de 52 répondants affectés de manière aléatoire à l’une des conditions (absence d’information, information simplifiée, information exhaustive) établit l’effet très clair de la modalité « information simplifiée » sur le niveau de confiance. C’est moins le contenu de l’information que le signal qui compte, et l’information simplifiée joue le rôle d’un gage d’autant plus efficace qu’il est contrôlable.
Quelles configurations pour les Business Model du Big Data ?
Authors: Soumaya Bouafia , Jaussaud Jacques
Published: May 2020

L’intérêt porté au Big Data est aujourd’hui considérable. La littérature, académique comme professionnelle, annonce un potentiel important et de nouvelles sources de profits. Paradoxalement, peu de travaux ont été consacrés à l’aspect business de ces données massives. Cette contribution s’efforce d’explorer les business model du Big Data. Nous avons pour cela réalisé un travail empirique basé sur des études de cas, nous conduisant à l’identification de cinq catégories de modèles d’affaires liées en premier lieu à la finalité d’usage du projet Big Data.