bluuebunny/crossref_metadata_2025 huggingface dataset:
Response Quantities of Framed Buildings under Dynamic Excitation
Authors:   PhD Scholar, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India., Soni Prabhat Kumar , Dubey Dr. S. K. ,   Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India., Sangamnerkar Dr. Prakash ,   Assistant Engineer, M.P. Housing and Infrastructure Development Board, Bhopal, India.
Published: September 2019

Seismic analysis of structure is employed to make the structure enable to resist the seismic forces and perform against the factors causing the failure of the structure under dynamic excitation. Among various response factors, the base shear and time period of buildings are predominant factors used in the analysis and design of the structure.The prime objective of the paper is to present an analytical study on non-linear seismic analysis of moment resisting framed buildings (as per Indian code IS1893 – 2016) to evaluate the base shear of different configurations of buildings according to different mode combination methods. The obtained results have been presented the comparative analysis of different combination methods. The paper also presents the evaluated results in the form of the time period values of the different buildings depending upon variation in its configuration. As a result, the responses of multistoried moment-resisting framed buildings have been evaluated for various models of considered buildings based on different mode combination methods, and the results of obtained responses have been analyzed in a comparative manner to understand the behaviour of buildings under various methods and configuration conditions. The work presented in the paper can support to develop better understanding of structural response and efficient designing of structures.
Evaluation of Mechanical Properties of GFRP Composites with Fillers
Authors:   Post Graduate Student, Advanced Manufacturing Systems (AMS), VNR VJIET, Hyderabad., Swathi Akula. , Bhanumurthy Soppari. ,   Assistant Professor, Mechanical Department, VNR VJIET, Hyderabad., Babu K.Nagendra ,   Assistant Professor, Mechanical Department, VNR VJIET, Hyderabad.
Published: September 2019

The usage of GFRP composites are gradually increasing day by day because of its unique properties over conventional metals. GFRP composite materials are much stronger and contain less weight than the metals which are using in more industries like Automobiles. And it was noticed that the properties of the GFRP composites are decreasing noticeably in certain environmental conditions. So, it is important to improve the quality and mechanical properties of the GFRP composites that they use to odder environmental conditions. From the farmer literature it was observed that adding filler materials to the composite adhesive can enhance the strength and properties of the composite material. In this investigation two filler materials (Znso4, talc) are added to the composites in certain ratios (1%,3%,5% and 7%). And to observe the mechanical properties specimens are placed in water for 30 days, and mechanical tests were performed on the specimens. And It was observed when fillers are added to the matrix of the composite the mechanical properties are increased when it compares to the no filler added composites. Properties are enhanced when the certain ratio of filler were added. Again properties are decreased when the high amount of fillers were added. And high tensile properties were observed when the 3% of filler added. And flexural properties and ILSS properties are enhanced when 1% of filler added.
Primary User Avoidance algorithm for CRAHNs using Reinforcement Learning
Authors:   Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, Haryana, India., Khurana Shiraz , Upadhyaya Dr. Shuchita ,   Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, Haryana, India.
Published: September 2019

Cognitive Radio Ad Hoc Networks (CRAHNs) are the need of the current time. There is a requirement of providing accessibility of network “everywhere”. This “everywhere” connectivity to all kinds of unlicensed devices is very hard to achieve in statically allocated spectrum bands. So CRAHNs were envisioned. In CRAHNs, it is very important to protect transmission of primary user. This paper tries to handle this concern. A reinforcement learning based algorithm is proposed and implemented which protects the transmission of primary user by avoiding secondary users to enter primary user coverage area, which is not known in advance. This algorithm will learn from its experience & once it has learnt from its environment, it always tries to avoid primary user within a region where primary user is operating on same channel as secondary user. This work includes Q learning along with neural networks (implemented in python). The experimentations results proved that this algorithm learns over time, because as the number of epochs are increased loss rate tends to decline. The algorithm is executed using neural networks with varying schemes. All of them proved that there is worthy amount of learning with decent accuracy. Results drawn from the proposed algorithm yield as output the distance covered by secondary user in each configuration, without hitting primary user and the mean loss rate for each configuration. The algorithm proposed in this paper is anticipated to be durable and robust. Moreover, it can work on large networks as well.
Feature Extraction and Analysis in Multimodal Biometric Authentication using Lu Factorization with Kronecker Algebra
Authors:   Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh India., Suresh Y
Published: September 2019

Pattern recognition is one of the current and advanced technologies that focus on analysis and construction of pattern is a complex work. For recognition of patterns Vector logic gives good strategies. This paper focuses on pattern recognition in multimodal authentication system by using vector logic. A framework has been proposed to provide more security in biometric aspect. Initially, features are extracted through PCA from the normalized biometric imaginaries, and then using LU factorization key components are extracted. By using convolution kernel methods such as Khatri Rao an application of Kronecker product weights are computed for different key sizes. In the same way verification process is implemented and verified with MSE. This framework gives better result for chosen threshold value.
Working Model for Under Graduate/Graduate Students to Enhance Their Financial Learning Skills
Authors:   PhD, Associate Professor, Department of Management Princess Norah University, Riyad, KSA, Iqbal Khan Dr. Naila , Bedekar Dr. Abhay Arvind ,   PhD, Additional Collector and Officer on Special Duty, RCVP Noronha Academy of Administration and Management, Bhopal, India
Published: September 2019

The financial acumen is a very necessary part of today’s life and it must be learned by all the students at the under graduate or post graduate level. In all the underdeveloped or developing countries or for that matter even in developed countries the financial learning is important and as soon as the students understand it, is good for the nation and for him/her self. The sooner the better. Now a day children want to learn more things than they have time for. And as information becomes more readily accessible online, the number of things students want to learn has only increased. It means that the only variable students can actually control is the time spend in learning these various subjects and things. To make short the learning curve is a topic which has been studied for many years, and this work model will try to cover the fundamental core principles of learning faster. If these principles are exactly in place, anybody could leverage them to push him/her self to learn faster and master any category of learning, including public finance, personal finance and business skills, and many more.
Durability and Physical Properties of Glass Fiber Reinforced Concrete Subjected To Elevated Temperatures
Authors:   Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India., Reddy K. B Sankeerthan , Prasad J.S.R ,   Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India., Malagavelli Venu ,   Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India.
Published: September 2019

Addition of glass fibers into concrete significantly modifies its tensile strength. The fibers are placed at desired locations and orientations by the matrix surrounding it, thereby making the fibers as principal load carrying members and also protecting them from environmental damage. Glass fibers provide resistance to high temperature, and the ease of incorporating them into the matrix either in continuous or discontinuous lengths. In this work, carbonation test representing the durability of Glass Fiber Reinforced Concrete (GFRC) was carried out, and then experimental program determines the properties like compressive strength, split tensile strength and flexural strength of GFRC for 7 days and 28 days of curing, with percentage of fibers in ratios 0.5%, 1%, 1.5%, 2% and performance of GFRC at elevated temperatures of 300°c, 500°c, 700°c, 1000°c are compared with conventional concrete. The results depict that, the residual compressive strength capacity of GFRC is greater than unreinforced concrete both at elevated and normal temperatures.
Co-integration Analysis Between International Macroeconomic Factors and S&P Sensex Movements
Authors:   Research Scholar, Dept. of Business Management, KL University-Guntur, Asst. Prof, Dept. of Business Management, S R Engineering College, Warangal, Telangana, Mrs Kafila  , Srinivas Dr. R. Vijaya ,   Assoc. Prof., Dept. of Business Management, KL University-Guntur
Published: September 2019

The Indian stock market is fizzy and energetic; it has been going through many economic reforms since liberalization Indian economy (LPG) 1991 to till date. The Indian economy follows free market economic system, which enhance the scope of investing into stock market. Hence it prevailing significance of international macroeconomic factor on Indian Sensex movements, the present paper has investigate the long term relation and short term dynamics between international macro economic factors Capital account to Gross Domestic Production ratio (CAPGDPR), Crude oil Return (CRUDEOILR), Foreign Direct Investment return (FDIR), Foreign Institution Investment return (FIIR), Foreign Exchange Reserves growth rate (FOREXRESR) Gold return (GOLDR) Net Current account growth rate i.e (Exports divided by Imports) (NCAR) US Dollar Exchange rate to Indian Rupee returns (USDEXR) to Sensex return (SENSEXR) . The Sensex returns and International macroeconomic factors long term and short term analyzed through time series econometric tools Augmented Dickey Fuller (ADF) test check the stationarity, Johansen co integration for investigate long term relationship, Error correction Model for identify the short term dynamics. It is found that the long term co integration exists between these select international macroeconomic variables. Whereas USDEXR and FOREXRESR leads Sensex R and Sensex R corrects faster towards long run equilibrium. On the other hand CAPGDPR, CRUDEOILR, FDIR, FIIR, GOLDR, NCAR coefficients found the weak form of co movement to adjust for long run equilibrium.
Image Fusion of Remote Sensing Images using ADWT with ABC Optimization Algorithm
Authors:   Research Scholar, JNTUK, Kakinada Andhra Pradesh, Kumar J.Thrisul , Reddy Dr.Y.Maliikarjuna ,   Professor and Principal,VVIT,Guntur,Andhra Pradesh, Rao Dr.B.Prabhakara ,   Professor In ECE Department, JNTUK
Published: September 2019

Synthetic Aperture Radar (SAR) is imaging radar and it generates images in any weather condition. In fact, SAR images are high resolution images therefore to process these images in digital format compression is compulsory, but during reconstruction of these signals some part of the signal component in image will be loosed due to quantization error. Hence in this paper a new approach is proposed to reconstruct the image as near to the original image. Two SAR images are taken for implementing this technique. The quantization error will be reduced by using adaptive discrete wavelet transforms with Artificial bee colony optimization and the output signal would be reconstructed. DWT is used for image fusion which decomposes images. After optimizing the filter coefficients in DWT then the image will be reconstructed by using IDWT and the performance is measured and compared with Genetic Algorithm (GA) in terms of MSE and PSNR.
Influence of Heat Generation and Radiation on MHD Flow of Natural Convection
Authors:   Department of Mathematics, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India., Shaik Mohiddin Shaw , Gurram Dharmaiah ,   Department of Mathematics, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India., Dasari Nagaraju ,   Department of Mathematics, Manipal University Jaipur, Rajasthan, India., Rani Dr. Ch. Baby ,   Associate Professor and H.O.D, of Mathematics, V.R.Siddartha Engineering College, Vijayawada.
Published: September 2019

This article explains an influence of heat generation on MHD natural flow convective a vertical permeable surface with radiation. By using perturbation technique the equations of governing are converted to a system of non-linear O.D.E’S and are explained mathematically. Numerous physical limitations like M, F, Pr and some other parameters are studied through diagrams and tabular values. As conclusion of this investigation, decreasing in velocity profile as numerical standards increased in major cases except few effects like absorption radiation parameter R, Schmidt number Sc over velocity flow. The same effects are investigated for temperature profile as well as concentration profile.
Passionate Knowledge and Scholastic Execution in Restorative using EI
Authors:   Research Scholar, Department of Computer Applications, Bharath Insititute of Higher Education and Research, Chennai, India., Shreeram N Vidya , Muthukumaravel A ,   Dean, Arts & Science, Bharath Insititute of Higher Education and Research, Chennai, India.
Published: September 2019

Research on exuberant information recommends that it is related with substantially more star social lead, better enlightening execution and improved compassion towards patients. In pleasing preparing and clinical practice, EI has been related to higher enlightening achievement and improved ace decided affiliations. This examination eviscerated the effect of EI on academic execution in solitary year strong understudies in Malaysia. This was examination using a sensibly scored level of EI. Informative execution of accommodating school understudies was surveyed using Steady Assessment (SA) and Last Assessment (LA) results. The entire year understudies were permitted to take an enthusiasm during their subsequent semester. Understudies looked out for a paper-based estimation outline and completed the online in seclusion. Connection between the supreme score to academic execution were poverty stricken down using multivariate analyses. Who were considerably more incredibly watchful performed better in both the boundless evaluations and the last talented appraisal. Hence, it is possible that energetic point of confinement development may improve strong understudies' insightful introduction.
Text Mining with Topical and Informative Measures using Semantic Ontology
Authors:   Ph.D Research Scholar, Bharathiar University, Coimbatore, Tamilnadu, India, Shobarani G , Arulanandham K ,   Head, Department of Computer Applications, Government Thirumagal Mills College, Gudiyattam, Tamilnadu, India
Published: September 2019

The text mining has been identified as dominant throughout the era in many scientific problems. Number of techniques have been identified and proposed earlier, each uses different features towards mining text information. However, they suffer to achieve higher performance in mining relevant text information or documents. To support the development of text mining tasks, an efficient topical and informative measures based algorithm is presented, which uses semantic ontology and the taxonomy as dictionary. The text features of the documents has been extracted to generate set of terms. For any document, the text features are used to remove the noisy features like stop words, stemming and tagging. With the noise removed pure terms, the method estimates the Topical Depth Similarity (TDS) and informative Depth Similarity (IDM) measures. The measures has been estimated towards each document to perform text mining. The input query has been estimated for the TDS measure to identify the category of the query. According to the category of query, the method estimates the TDS and IDS measures to mining the text. The proposed method improve the performance of text mining with reduces false classification ratio.
The Implementation Results of Identity-Based Hashing Algorithm for Iot
Authors:   department of Computer Science, Karpagam Academy of Higher Education Coiambathore, Rehiman K A Rafidha , Veni Dr. S ,   department of Computer Science Karpagam Academy of Higher Education Coiambathore
Published: September 2019

Nonrepudiation in Mobile environment is a major challenge in the area of IoT security. Public-key-based Digital Signature schemes are common and their computational requirements and complexities do not support constrained devices. This paper presents the design and implementation results of light weight nonrepudiation architecture based on public key cryptography and Elliptic Curve addition to reduce the overhead of processing and communication.
Cumulant Features based Classification of Brain MR Images using ANN and LS-SVM Algorithm
Authors:   Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India., Chakravarthy S R Sannasi , Rajaguru Harikumar ,   Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
Published: September 2019

Automatic classification of magnetic resonance (MR) brain images using machine learning algorithms has a significant role in clinical diagnosis of brain tumour. The higher order spectra cumulant features are powerful and competent tool for automatic classification. The study proposed an effective cumulant-based features to predict the severity of brain tumour. The study at first stage implicates the one-level classification of 2-D discrete wavelet transform (DWT) of taken brain MR image. The cumulants of every sub-bands are then determined to calculate the primary feature vector. Linear discriminant analysis is adopted to extract the discriminative features derived from the primary ones. A three layer feed-forward artificial neural network (ANN) and least square based support vector machine (LS-SVM) algorithms are considered to compute that the brain MR image is either belongs to normal or to one of seven other diseases (eight-class scenario). Furthermore, in one more classification problem, the input MR image is categorized as normal or abnormal (two-class scenario). The correct classification rate (CCR) of LS-SVM is superior than the ANN algorithm thereby the proposed study with LS-SVM attains higher accuracy rate in both classification scenarios of MR images.
Influence Maximization in Social Networks using Deterministic Crowding Algorithm
Authors:   School of Engineering, Sheikhbahaee University, Isfahan, Iran., Kaveh Navid , Bateni Mehdi ,   School of Engineering, Sheikhbahaee University, Isfahan, Iran.
Published: September 2019

In a social network the individuals connected to one another become influenced by one another, while some are more influential than others and able to direct groups of individuals towards a move, an idea and an entity. These individuals are named influential users. Attempt is made by the social network researchers to identify such individuals because by changing their behaviors and ideologies due to communications and the high influence on one another would change many others' behaviors and ideologies in a given community. In information diffusion models, at all stages, individuals are influenced by their neighboring people. These influences and impressions thereof are constructive in an information diffusion process. In the Influence Maximization problem, the goal is to finding a subset of individuals in a social network such that by activating them, the spread of influence is maximized. In this work a new algorithm is presented to identify most influential users under the linear threshold diffusion model. It uses explicit multimodal evolutionary algorithms. Four different datasets are used to evaluate the proposed method. The results show that the precision of our method in average is improved 4.8% compare to best known previous works.
Role of Microfinance and Microcredit in Transforming the Rural India
Authors:   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh., Mazeed haik Abdul , Dalpadal Ch. ,   Associate Professor, Shankerlal Dhanraj Signodia College of Arts and Commerce & P.G.Centre, Charkaman, Hyderaba-500002, Telangana.
Published: September 2019

Growth of a nation does not refer to the development of infrastructure, innovations and technology. In fact it is truly associated with the development of all citizens in terms of their standard of living. A country travels in development path if all the people are caught up in the process of growth and enjoy quality of living by accessing to basic facilities of life such as food, clothing, housing, health, clean water, education, employment and good natural and social environment. It all happens when economy is sound and have consistent growth rate. In our country the economic growth rate is directly depends on the development of rural areas as it is the backbone to the economy. Providing financial support to rural people is a Hercules task as they do not maintain any formal and necessary documents, failing which banks or any other financial institutions do not grant even a single penny. In this connection, Microfinance and Microcredit institutions helps the people in rural areas with a variety of services with minimal documentation. It includes loan, savings, credit, money transfer, insurance, pension and other financial innovations etc. In this research an attempt is made to ascertain new approaches to measure the impact of microfinance and microcredit in the development of rural areas.
Track Your Parking Lot with the help of Sensors
Authors:   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India,, Sharma Rashmi , Madan Parul ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India, Upadhyay Satya Prakash ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India, Singh Paravjot ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India, Chhabra Gunjan ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India
Published: September 2019

The increasing number of vehicles around the globe increases the parking problem. Parking of vehicle in front of the house or in the basement of shopping mall, consumes a lot of time and energy of the driver. Additionally, the emission of extra CO2 is adding to the environmental cause globally. So here, author has proposed a solution of mentioned problem. An Automated Parking Management System (APMS) is proposed here that dynamically detect the vacant parking slots. This interface will provide the facility of advance booking through which the user can book a parking slot in advance to avoid last moment rush. The user can also locate, view the nearest empty parking lot in advance and plan his/her journey accordingly. The proposed work is done with the help of sensors that will fetch the data dynamically from the parking slots (whether they are vacant, occupied or waiting) with the help of raspberry pie. The retrieved data is interfaced by an android application that will then show the status of the slots. Apart from mentioned advantages, this work also addresses the environmental concerns due to CO2 emission. In short, through this application user will get a safe and secure vacant parking slot without any hustle and wastage of time.
Experimental Research on Micro Structure And Mechanical Properties of Al Alloy Utilizing Sustainable Biomass As Quenching Medium
Authors:   Research Scholar, ANU, Guntur, AP, India., Rao M. Maruthi , Sudheer Dr. N.V.V.S. ,   Associate Professor ,RVR&JC College of Engineering, Mechanical Department, Guntur, AP, India.
Published: September 2019

Quenching media, time, temperature are prime factors towards the enhancement of grain refinement structure and mechanical properties in metals. The present study reports the usage of novel quenching media that is cow urine to improve the mechanical properties that is tensile strength, yield strength and hardness of Al 2585 alloy. The ingredients such as (sodium, nitrogen, sulphur, Vitamin A, B, C, D, E, minerals, manganese, iron, silicon, chlorine, magnesium etc.,) present in cow urine are homogenously which help to improve micro structure and mechanical properties of Al alloy 2585. From the study, it is revealed that maximum tensile strength and yield strength is improved and grain refinement is exhibited at 50% blend. Likewise maximum hardness at 80% blends.
Tree Copula Theory Based Fusion And Compressive Sensing For Activity Detection using Multi-Modal Data
Authors:   R V College of Engineering, Bengaluru, Karnataka, India., Badiger Sujata D , M Dr. Uttarakumari ,   R V College of Engineering, Bengaluru, Karnataka, India
Published: September 2019

Activity detection based on likelihood ratio in the presence of high dimensional multimodal data acts as a challenging problem as the estimation of joint probability density functions (pdfs) with intermodal dependence is tedious. The existing method with above expectations fails due to poor performance in the presence of strongly dependent data. This paper proposes a Compressive Sensing Based Detection method in the Multi-sensor signal using the deep learning method. The proposed Tree copula- Grasshopper optimization based Deep Convolutional Neural Network (TC-GO based DCNN) detection method comprises of three main steps, such as compressive sensing, fusion and detection. The signals are initially collected from the sensors in order to subject them under tensor based compressive sensing. The compressed signals are then fused together using tree copula theory, and the parameters are estimated with the Grasshopper optimization algorithm (GOA). The activity detection is finally performed using DCNN, which is trained with the Stochastic Gradient Descent (SGD) Optimizer. The performance of the proposed method is evaluated based on the evaluation metrics, such as probability of detection and probability of false alarm. The highest probability of detection and least probability of false alarm are obtained as 0.9083, and 0.0959, respectively using the proposed method that shows the effectiveness of the proposed method in activity detection.
Image Squeezing By The Wavelet Squeezing
Authors:   (PhD) – Associate Professor of “Multimedia Technologies” Department of Tashkent University of Information technologies, Tashkent, Uzbekistan., Muazzam Artikova
Published: September 2019

the problem of effective compression and transmission of images remains one of the most important in the field of multimedia technologies and is very promising in recent years. The article attempts to give its own interpretation of this problem and to analyze the features of the existing methods of wavelet transform, as well as to present software designed for compression of images for their compact storage and transmission through communication channels at maximum speed.
Design and Analysis of Diagrid and Shear Wall Structures Subjected to Seismic Loads
Authors:   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Charan Thota Sai , Venkateswarlu Dr. Dumpa ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Shekar Rayi Chandra ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: September 2019

The advancement of tall structures depends on new basic ideas with recently received high quality materials and development techniques have been towards "firmness" and "gentility". According to the past records of quakes, there is an expansion in the interest for utilization of seismic tremor opposing structures. So it is important to plan and dissect the structures by thinking about seismic impact. Presently a-days, shear dividers are utilized because of its opposing properties. The utilization of the shear divider framework in fortified solid structures is utilized to limit seismic outcomes. Plus, the diagrid frameworks are utilized for similar reasons in auxiliary structures. Albeit the two frameworks are utilized to defeat similar impacts, yet two frameworks will displays diverse conduct against seismic burden. The present work is worried about the similar investigation of seismic examination of multi-celebrated structure with diagrid and shear divider framework in various zones. The present examination is to comprehend that the structures need appropriate Earthquake opposing highlights to securely oppose huge horizontal powers that are forced on them during Earthquake. Shear dividers and diagrid are productive and compelling in limiting harm in structures because of quake and wind. The investigation centers around correlation of execution of diagrids and shear dividers in tall structure. Displaying and investigation of the structure is done in ETABS 2016 programming in various seismic zones and wind conditions. For examination different IS codes have been alluded, for Gravity load blend IS 456:2000 and for seismic burden mixes according to IS1893:2002 (section 1) code is alluded. To dissect the structures, the dynamic examination technique is embraced. The reaction range and Non-straight time history capacities are characterized to do dynamic investigation. The consequence of models are organized and graphically spoke to and is analyzed for deciding the better execution of structure against horizontal burdens.
Customer Service Satisfaction of Frontliners in a University in Cavite
Authors: Macalalad Marta B.
Published: September 2019

Frontliners are people who work on the front lines of a business operation, primarily in customer service roles.  They are the first to interact with the customers and are expected to represent the face of the business. However, some fronliners are not behaving the way they are expected to behave. This study determined the customer satisfaction of the frontliners of the student finance, records and admission office, cashier, and student services office of one university and compared the satisfaction rating about the services that is provided by frontliners in the university according to their gender, age, and department. Likert-type survey questionnaires were administered to 100 students who were selected using convenience sampling. The customer satisfaction survey consisted of 20 descriptive questions using the scale strongly agree (4), agree (3), disagree (2), and strongly disagree (1). The respondents were given survey questionnaires right after they were served by frontliners of the various departments of the university. Results from the descriptive statistics revealed that the student customers were generally satisfied with the services of the frontliners of the various departments in the university. The comparison of the satisfaction by gender, age, and year in college is not significant (p > .05). Equally important in this study are the qualitative results which revealed positive and negative comments on the way the frontliners handled queries and inquiries. Areas that need improvement were identified by the respondents. Similar studies on customer service satisfaction of fronliners be conducted regularly including other service department in the university. Seminar be conducted to improve and/or maintain customer satisfaction.
Assessment of Women Quantity Surveyors’ participation in construction industry in Nigeria
Authors: F.N. okeke , E.O.E Nnadi , J. Okereke
Published: September 2019

Quantity Surveying is a non-gender restricted technical profession that
asserts effective financial management in all construction activities. The profession involves in costing, planning and financial administration of building, civil, and industrial engineering works. Women are known for being sensitive, moderate and possessive of huge managerial capabilities. Meanwhile, there are lots of misnomer in Nigeria construction industry such as cost overrun, corruption and poor project delivery. Quantity Surveyors been the financial experts; there is need therefore to examine
the level of participation of women Quantity surveyors in the industry which is the aim of this paper. This was achieved by identifying the roles been played by female QS in the industry. The paper also investigates challenges facing female Quantity Surveyors in the industry. The relationship between male and female quantity surveyors was also explored while necessary recommendations were made. Well-structured questionnaire and interview was instrument of data collection. The analyses were carried out using ranking, regression and correlation analysis. Conclusion and recommendation were drawn on evaluating the assessment of quantity surveyor’s women in south east of Nigeria and different strategies in which the profession as a whole could adopt for
positive change was suggested.
Large Vestibular Aqueduct Syndrome: Parents’ and Audiologists’ Perspectives
Authors: Sullivan James Connor , Johnson Carole E. , Danhauer Jeffrey L. , Jilla Anna Marie , Sanchez Kristin R.
Published: September 2019

Background:Large vestibular aqueduct syndrome (LVAS) is an auditory disorder that is difficult to diagnose and manage; it is confirmed when the vestibular aqueduct is >1.5 mm in diameter. Diagnosis of LVAS in children can devastate parents and challenge healthcare professionals
who serve these patients and their families.Purpose:This study surveyed parents of children with LVAS about their knowledge of and experiences with LVAS and their attitudes about the support provided to them by healthcare professionals. This study also surveyed audiologists about their
knowledge of and experiences with LVAS and their level of confidence in serving families with children having this disorder.Research Design:Cross-sectional survey.Study Sample:100 parents, mostly mothers, and 144 audiologists responded to invitations to participate in surveys
designed to elicit information about their knowledge of, experiences with, and attitudes toward LVAS.Data Collection and Analysis:Invitations via links to participate in a survey on surveymonkey.com
were posted in LVAS support group pages on Facebook.com for parents and sent to audiologists randomly selected from the American Academy
of Audiology Membership Directory. Descriptive statistics were used to analyze trends in parents’ and audiologists’ responses.Results:A response rate could not be obtained for the parents’ survey because it was impossible to know how many parents actually viewed the
invitation to participate via Facebook.com. The response rate for the audiologists’ survey was 10%. Most of the parents reported
that their children had clinical trajectories similar to those of cases reported in the literature, and said they needed more information from their healthcare providers, especially pediatricians and primary care physicians. Most of the audiologists felt confident in their knowledge of and/or
skills in aiding in the diagnosis and/or treatment of LVAS, except for issues surrounding cochlear implants. Audiologists were interested in obtaining continuing education about LVAS from multiple sources.Conclusions:Parents of children having LVAS need greater support from their healthcare
providers, who in turn need additional information on the topic and should collaborate for supportive and appropriate interprofessional care.
The Effect of Varying Test Administration and Scoring Procedures on Three Tests of (Central) Auditory Processing Disorder
Authors: Pomponio Maria E. , Nagle Stephanie , Smart Jennifer L. , Palmer Shannon
Published: September 2019

Background:There is currently no widely accepted objective method used to identify (central) auditory processing disorder ([C]APD). Audiologists often rely on behavioral test methods to diagnose (C)APD, which can be highly subjective. This is problematic in light of relevant
literature that has reported a lack of adequate graduate-level preparation related to (C)APD. This is further complicated when exacerbated by the use of inconsistent test procedures from those used to standardize tests of (C)APD, resulting in higher test variability. The consequences of modifying
test administration and scoring methods for tests of (C)APD are not currently documented in the literature.Purpose:This study aims to examine the effect of varying test administration and scoring procedures from those used to standardize tests of (C)APD on test outcome.Research Design:This
study used a repeated-measures design in which all participants were evaluated in all test conditions. The effects of varying the number of test items administered and the use of repetitions of missed test items on the test outcome score were assessed for the frequency patterns test (FPT),
competing sentences test (CST), and the low-pass filtered speech test (LPFST). For the CST only, two scoring methods were used (a strict and a lax criterion) to determine whether or not scoring method affected test outcome.Study Sample:Thirty-three native English-speaking adults served
as participants. All participants had normal hearing (as defined by thresholds of 25-dB HL or better) at all octave band frequencies from 500 to 4000 Hz, with thresholds of 55-dB HL or better at 8000 Hz. All participants had normal cognitive function as assessed by the Mini-Mental State Examination.Data
Collection and Analysis:Paired samples t-tests were used to evaluate the differences in test outcome when varying the CST scoring method. A 3 × 2 × 2 repeated-measures factorial analysis of variance (ANOVA) was used to determine the effects of test, length, and repetitions
on outcome score for all three tests of auditory processing ability. Individual 2 × 2 repeated-measures two-way ANOVAs were subsequently conducted for each test to further evaluate interactions.Results:There was no effect of scoring method on the CST outcome. There was a significant
main effect of repetition use for the FPT and LPFST, in that test scores were greater when corrected for repetitions. An interaction between test length and repetitions was found for the LPFST only, such that there was a greater effect of repetition use when a shorter test was administered
compared with a longer test.Conclusions:Test outcome may be affected when test administration procedures are varied from those used to standardize the test, lending itself to the broader possibility that the overall diagnosis of (C)APD may be subsequently affected.
Ambidextrie et pérennité organisationnelle : le cas de l’ASUL, association sportive en croissance
Authors: Ronzon Kévin , Gueye Charles , Soulé Bastien
Published: September 2019

La pérennité constitue une préoccupation légitime de toute organisation. L’Association Sportive Universitaire Lyonnaise (ASUL) connaît une phase de restructuration destinée à renforcer sa professionnalisation, maîtriser sa croissance et intégrer de nombreux changements (diversification, déménagement, etc.). Face à ce constat, l’ambidextrie, forme de design organisationnel et habileté particulière dont il faudrait doter les organisations, consiste à trouver un équilibre entre exploitation et exploration. En s’appuyant sur le cas de cette association sportive en développement, nous tenterons de démontrer que le renforcement de la capacité d’une organisation à devenir ambidextre, notamment sous sa forme contextuelle, s’avère déterminante pour réduire les risques et ainsi favoriser sa pérennité
La transformation des organisations : des innovations managériales multiples, la GRH au rendez-vous ?
Authors: Bastien Anne , Berard Axel , Defélix Christian , Le Boulaire Martine , Picq Thierry
Published: September 2019

« Révolution digitale », modes collaboratifs, entreprise libérée, agilité... La liste est longue des évolutions managériales actuelles, souvent présentées par les entreprises et les consultants comme les marqueurs d’une révolution profonde. « Métamorphose » ou « transformation » sont les termes fréquents sous lesquels ces pratiques sont revendiquées comme de réelles innovations managériales. Il est fréquent de lire çà et là que ces innovations managériales sont profondes et marquent une ère nouvelle. A l’opposé, un discours critique voire nihiliste existe pour dénoncer de simples opérations de communication, alors que fondamentalement rien ne changerait dans les pratiques de management des entreprises. En fait, l’examen plus attentif des réalités de terrain conduit à un regard intermédiaire : s’il n’y a sans doute pas de révolution managériale totale et complète, il y a de réelles évolutions qui sont autant d’expérimentations dans des contextes fort différents. Dans toutes ces expérimentations, y a-t-il une ou plusieurs innovations managériales ? Et quels sont dans les faits le rôle et la place de la gestion des ressources humaines (GRH) au cœur de ces solutions locales et multiples ? En adoptant un cadre théorique contextualiste et à partir de multiples sources secondaires, cette communication caractérise la diversité réelle des innovations managériales et met en lumière leur enjeu-clef, le processus, pour lequel la GRH finalement peu présente aujourd’hui, peut retrouver un rôle majeur.
Le rôle du professionnel RH dans la conduite de la transformation digitale : essai de contextualisation empirique
Authors: Rhchim Mohamed Chahine , Bentaleb Chafik
Published: September 2019

L’objectif de cette communication est de porter un éclairage sur le rôle du professionnel RH en conduite de la transformation digitale et l’approche permettant de réussir cette dernière au regard de la théorie de l’acteur réseau. Ensuite, à travers une étude de contextualisation, nous présenterons les premiers résultats pour relever les spécificités de notre recherche dans le contexte marocain, et ce par le biais d’une analyse qualitative qui cible à la fois des professionnel sRH et des responsables de la transformation, en vue de valider et enrichir notre cadre conceptuel.
Grille interculturelle du changement : acceptions du changement dans les cultures arabe, chinoise, indienne et occidentale
Authors: Autissier David , Johnson Kevin
Published: September 2019

Un premier article sur le sujet a été publié dans la revue Question(s) de management en septembre 2017 (n˚17 p. 103-108) sous le titre « Le carré du changement ». Cet article reprend le précédent en y ajoutant la culture indienne et en revoyant les variables de définition du changement. L’analyse comparée de quatre livres sur les mécanismes du changement en français, mandarin, arabe et indien avec des auteurs des quatre cultures a permis de proposer une définition culturelle du changement dans les cultures arabe, asiatique, indienne et occidentale. Les variables constitutives de cette analyse comparée constituent une grille interculturelle du changement pour comprendre ce dernier et agir dans des contextes de transformation à l’international.
Désir de participation et intelligence collective : le cas de l’entreprise Covéa
Authors: Autissier David , Guillard Alexandre
Published: September 2019

Dans la société en général et dans les organisations, les notions de participation et d’intelligence collective n’ont jamais été aussi présentes. Par participation, nous entendons le fait de faire participer un nombre croissant de parties prenantes aux processus de décision. Par intelligence collective, nous signifions un enrichissement mutuel des participants dans l’échange et une capacité de réalisation collective. Cela conduit à une dynamique d’apprenance constitutive de systèmes collectifs performants et vertueux. Les modèles Seci de Nonaka et expérientiel de Kolb constituent des grilles de lecture à la fois explicatives et opérantes de cette dynamique d’apprenance. Le secteur des assurances mutualistes est un terrain intéressant pour observer ces dynamiques d’apprenance. Nous prenons l’exemple de Covéa pour illustrer comment, au travers de dispositifs implantés depuis plusieurs années comme le co-développement et l’université Covéa Campus, ces dynamiques d’apprenance s’incarnent au niveau des comportements, des capacités requises et des enjeux associés. En particulier, nous mettons en évidence les conditions requises pour favoriser l’émergence et le développement de l’intelligence collective.
The author in the postinternet age: Fan works, authorial function, and the archive
Authors: Dahlberg-Dodd Hannah E.
Published: September 2019

Fifty years since Roland Barthes proclaimed the death of the author, there still exists difficulty in framing the nature of interaction between commercial (professional) creators and fan (transformative) authors. In the postinternet age, the visibility of unsanctioned (or tacitly sanctioned) derivative fictional works has only increased, as have the number of commercial creators with experience in creating derivative works for a fan audience. It has therefore become necessary to interrogate whether the author has truly died in the Barthian sense, and if not, what role the construct of the author plays in today's popular mediascape. In an analysis of the Foucauldian author function (that is, the role discursively constructed authors play relative to their work) assessing both Euro-American and Japanese histories of fan practice, a move to a more open-source style of fan practice is evident. The author in an open-source fandom functions as a heuristic device through which fans may access and search the database, as well as a means of decentralizing commercial authority over media content.
Hierarchy within female ACG fandom in China
Authors: Wu Xianwei
Published: September 2019

This case study focuses on a Chinese female-oriented ACG fan community, 3n5b, with an eye to studying how this community creates a sense of exclusivity and hierarchy through the discourses of copyright infringement, fan labor, and quality membership. Through controlling the distribution of rare resources, 3n5b creates high demand for their manga scanlation, and this demand is translated to a highly restricted membership. Membership is valuable because it is closely related to individual member's social and cultural capital, as well as their access to forum resources. Well-behaved members can slowly gain entry into more restricted forums, while members who violate forum rules are punished with loss of forum status or even membership revocation. This hierarchy seeks to raise the forum's overall quality and to wall off unwanted members, but it also replicates offline power relations that inevitably place people of lower social status at a disadvantage.