bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainties quantification and modelling of different rheological models in estimation of pressure losses during drilling operation
Authors: P. A. L Anawe , Adewale Folayan J. 
Published: April 2019

The determination of pressure losses in the drill pipe and annulus with a very high degree of precision and accuracy is sacrosanct for proper pump operating conditions and correct bit nozzle sizes for maximum jet impact and forestalling of possible kicks and eventual blow outs during drilling operation. The two major uncertainties in pump pressure estimation that are being addressed in this research work are the flow behavior index (n) and the consistency index factor (k). It is in this light that the accuracy of various rheological models in predicting pump pressure losses as well as the uncertainties associated with each model was investigated. In order to come by with a decisive conclusion, two synthetic based drilling fluids were used to form synthetic muds known as sample A and B respectively. Inference from results shows that the Newtonian model underestimated the pump pressure by 78.27% for sample A and 82.961% by for sample B. While the Bingham plastic model overestimated the total pump pressure by 100.70% for sample A and 48.17% for sample B. Three different power law rheological model approaches were used to obtain the flow behavior index and consistency factor of the drilling fluids. For the power law rheological model approaches, an underestimation error of 23.5743% was encountered for the Formular method for sample A while the proposed consistency index averaging method reduces the error to 14.9306%. The Graphical method showed a reasonable degree of accuracy with underestimation error of 5.6435%. Sample B showed an underestimation error of 47.8234% by using the power law formula method while the Consistency averaging method reduced the error to 20.7508. The graphical method showed an underestimation error of 0.4318%.
Request Schedule Oriented Compression Cache Memory
Authors: D.Kesavan G , N.Karthikayan P 
Published: April 2019

Using cache memory the overall memory access time to fetch data gets reduced. As use of cache memory is related to a system's performance, the caching process should take less time. To speed up caching process, there are many cache optimization techniques available. Some of the cache optimization process are Reducing Miss Rate, Reducing Miss Penalty, Re-ducing the time to hit in the cache etc. Re-cent advancement paved way for compressing data in cache, accessing recent data use pat-tern etc. All the techniques focus on increasing cache capacity or replacement policies in cache resulting in more hit ratio. There are many cache related compression and optimization techniques available which address only capacity and replacement related optimization and their related issues. This paper deals with scheduling the requests of cache memory as per compressed cache organization. So that cache searching and indexing speed gets reduced considerably and service the request in a faster manner. For capacity and replacement improvements Dictionary sharing based caching is used. Through this scheme multiple requests are foreseen using pre-fetcher and are searched as per cache organization, promoting easier indexing process.The benefit comes from both compressed storage and also easier storage ac-cess.
Non Verbal Communication for Analyzing the Malpractice in Examinations– An Overview
Authors: T Kujani , T Sathya , R Bhuvanya , S Uma 
Published: April 2019

Nonverbal communication can specify the psychosomatic behavior of people involved in interpersonal communication. Many researchers have specified the importance of gesture intimation. In the paper, we shall apply the previously used computer vision hardware and Machine Learning techniques for capturing the postures students undergoing examination in the classroom atmosphere. The main intention is to classify the people who involved in misbehavior such as copying, prompting answers, sharing the answer scripts and any other such practices. Current situation prevailing is though a physical monitor, invigilator is available in the exam hall the students attempt to misbehave in various ways mentioned above. We discuss about the techniques to be employed to get an analysis of the behavior of each student involved in exam.
Design of library application system
Authors: . Wulandari , Aminin Sudirman , Ihsan Dacholfany M. , Mujib Abdul , Huda Miftachul , Mohd. Nasir Badlihisham , Maseleno Andino , Sundari Eni , . Fauzi , Masrur M. 
Published: April 2019

Library application is a computer program designed specifically to manage the data of borrowing and returning books in order to be presented more quickly. In addition, for the achievement of the purpose of the operation itself is to facilitate students by providing facilities. In making this application there were some important data such as Member data, Books, Transactions, and Admin. From the data were expected to be the basis made for this application in order to present the information needed quickly and precisely, and to improve the performance of librarians. Requirements as a member of the library is a Student of SMP Negeri 1 Talangpadang, then create a regis tration form to become a member of SMP Negeri 1 Talangpadang Students. The expected result of making this system was that the data that had been stored and managed manually can begin to be computerized so as to further advance the performance and facilitate librari-ans in carrying out activities related to the library itself.
The governance of Internet and game theory
Authors: Lefebvre Olivier 
Published: April 2019

The professional milieu of telecommunications is livened up by controversies lasting decades. The controversy about access charges (or termination rates, the price paid by an operator to another when the subscriber’s call ends on its network) is ending, while the controversy about Net neutrality is starting. The article focuses on a “fragment”: the regulator’s action. Game theory is useful to answer two questions: (1) why does the regulator decide the decrease and cancellation of access charges (justification)? (2) How does he do it (tactical feasibility)? When the access charges decrease and are cancelled the retail prices decrease and the consumers’ surplus increases. And concerning the tactical feasibility, the regulator can let untouched the profits when he decides some decrease of the access charges (direct effect), then the retail prices decrease when there is a new Nash equilibrium (strategic effect). The operators cannot protest, neither during the first stage (the profits are untouched) neither during the second stage (it would be to admit that access charges are useful to have higher profits thanks to high retail prices, which is detrimental to consumers).One brings some explanation of the move towards access charges lowered or cancelled. Examples are: (1) the peering in the governance of Internet and (2) what is called the Eurotariff (for instance, roaming charges for users of mobile phones in Europe have been cancelled).
Customer Data Clustering using Density based algorithm
Authors: Sekhar Babu B , Lakshmi Prasanna P , Vidyullatha P 
Published: April 2019

This paper is about Clustering different segments of customers and their patterns of behaviour over different time intervals which are a very important application for business to maintain Business to Customer (B2C) Relationship. For clustering different segments of customers the input data will be taken from various business organizations like smart retail stores, and other stores. We take the input data from a particular amount of time like a year's data. All this data will be taken from the organization's databases. It has been observed that maintaining the old customers generate more profit when compared to attracting new ones. So, Customer retention is the important factor in our project. The main objective is to identify the elements with high profit and value to group them into different clusters. This will help to identify the high-value low-risk customers. From the results obtained, we can be able to propose some strategies to the organization that helps in retaining the old customers and improve the profits.
Implementation of Vector Space Model in Online Jobs Vacancy Aggregator
Authors: Awaliyah Zuraiyah Tjut , Elli Wihartiko Fajar D , Effendi Edwin 
Published: April 2019

Job vacancy aggregator is a system that facilitates users in finding the desired job vacancy, especially in the field of information technology.Â Job vacancy data collected from various job sites such as http://id.jobsdb.com, http://www.jobs.id, http://www.monster.co.id and http://www.jobstreet.co.id using web scraping techniques to extract job vacancy data that is stored in the HTML structure.Â The collected data is then processed to facilitate the retrieval concept by vector space model method, by using vector space model data which is found to be sorted based on the similarity level between the query which is typed by the user with the job vacancy data is stored in the database.Â In addition system can also perform email jobs sent via email to registered users.Â With the development of an online job vacancy aggregator, it can be used as a media job vacancy information, especially in the field of information technology (IT).Â Â
Review on Device-to-Device Communication in Cellular based Network Systems
Authors: Hasan Al-Bowarab Mustafa , Azma Zakaria Nurul , Zainal Abidin Zaheera , Kamil Maseer Ziadoon 
Published: April 2019

In a traditional cellular-network based system, the devices are not allowed to be interconnected directly in the certified mobile bandwidth, and all communications are carried out via the base station (BS). At present, device terminal broadcasting allows devices in the distributed network to act as transmitting relays to each other and reach a massive ad hoc network of networks that is different from the previous cellular architecture that faces technical challenges. Therefore, this article explores the application of a cellular-based two-layer network system that includes a base station (BS) cellular layer, such as cellular-to-device communication and communication between devices. In the proposed two-tier cellular-based network system, user data is transmitted through other users' devices to implement the privacy protection that is lacking in prior communication between devices in cellular systems. To ensure a negligible impact on the performance of current communication between devices, a two-layer network is assimilated to autonomous interference management schemes and associated resource allocation schemes. The findings from this review provide an overview of the major challenges in two-tier networks and propose a two-tier cellular-based system in which user data is routed through other users' devices to implement privacy protection.Â Â
First Time Reporting of Key Audit Matters (KAM) by Malaysian Auditors
Authors: Ismail Hashanah , Abdullah Atqa Asna , Hassan Hamimah 
Published: April 2019

This paper reports on the early first cohort of Audit Reports issued by external auditors in response to the requirement of ISA 701, Communication of Key Audit Matters (KAM) in the Auditor’s Report, which became effective for audits of financial statements on or after 15 December 2016. Based on 15 Audit Reports of financial statements for year ending 31 December 2016 available in early 2017, this paper reports that only one out of 15 had a disclaimer and no KAM reported for the audit as ISA 701 specifies that no KAM should be reported following a disclaimer. The other fourteen audit reports were all clean reports with the number of KAMs reported ranging from one to five. The highest most significant audit matter reported was revenue recognition and inventory valuation followed by asset impairments of both tangible and intangible assets. Justifications by auditors of matters considered most significant ranged from no additional information (it is most significant because it is material) to articulate explicit link with business model and industry specific factors thus compliance with disclosure of KAM may be compliance de jour rather than compliance de facto. Despite the additional requirement to disclose KAM, this study finds no evidence of audit delays. All KAMs disclosed are elaborations of and related to a client’s significant accounting policies choice. From KAM disclosures, readers of audit reports now are informed of the audit risk areas where estimates were made and judgments prevailed challenging auditors to exercise greater skepticism. This preliminary finding provides pointers for greater research into the cost benefits and communicative value of KAM disclosure in the Audit Reports of Listed companies in Malaysia.
Community Domain and Work-Family Enrichment: an Exploratory Study
Authors: Hassan Zaiton , Kartini Abang Ibrahim Dayang , Fatihah Abdullah Bandar Nur , Sabil Surena , Norsyamimi Md Nor Nik 
Published: April 2019

Recently, the positive side of work-family interface, work-family enrichment has been highlighted. However, most research came from Western cultural context and mostly focus on work and family domain only. Therefore, this study aims to investigate community domains demands and resources and its relationship to work-family enrichment in the Eastern cultural context, i.e. Malaysia. Self-administered questionnaire were answered by 506 employees from six organizations. It was found that family-work enrichment (FWE) is higher than work-family enrichment (WFE). Resources from neighbors and relatives were positively related to WFE and FWE. Interestingly, friends’ resources were negatively related to WFE and FWE. The findings strengthened the link between resources and enrichment. This study has shown that support outside the workplace, particularly from relatives and neighbours are important in enhancing work-family and family work enrichment. Thus, organizations in collectivist society should create community supportive culture to enhance the experience of work family enrichment among the employees.
Review of Leading Data Analytics Tools
Authors: Bonthu Sridevi , Hima Bindu K 
Published: April 2019

Data Analytics has become increasingly popular in uncovering hidden patterns, correlations, and other insights by examining large amounts of data. This led to the emergence of a variety of software tools to analyze data. Before adopting the tool, organizations need to know how they will fit into their larger business goals. Due to ever changing requirements from people practicing Data Analytics, many new tools are entering into the market and few tools are losing importance. A review of current popular tools is provided in this paper to help the analytics practitioners to choose the appropriate tool for the requirement at hand. This paper provides a review of seven popular tools viz., R, Python, RapidMiner, Hadoop, Spark, Tableau, and KNIME.
A New Watermarking Scheme for Medical Images with Patient’s Details
Authors: Nagaraju G , Pardhasaradhi P , S. Ghali V 
Published: April 2019

A brain tumor is a mass of cells in your brain that are not normal.Some brain tumors contain cancer and others don't: Brain tumor include both, benign and malignant forms. Benign brain tumors don't have cancer cells. Malignant brain tumors have cancer cells. Differentiating malignant and benign cases is a hard task even for experienced specialists. This work presents how to extract the characteristics and features of tumor image by general segmentation methods for malignant risk computation and presents the use of digital watermarking for applications of automated tumor image analysis. Here personal information such as name, age, gender, location, ADHAAR number, contact number etc., and tumor information such as tumor types, area of the tumor, severity, and any other useful information are embedded to the tumor image. Encrypting that image with well-known encryption algorithms is also possible to avoid unnecessary nuisance from information hackers.
Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing
Authors: Sujeetha S , Ja Veneesa , Vinitha K , Suvedha R 
Published: April 2019

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access. The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.
Implementation of Facial Visualization of MBTI Personality Type Based on Augmented Reality and Dynamic Mapping
Authors: Hee Lee Kang , Ganiev Asilbek 
Published: April 2019

Nowadays, augmented reality is becoming more and more popular because it can help individuals learn about many things, such as buildings, books, historical places, etc. in real time. The Myers–Briggs Type Indicator (MBTI) test, a questionnaire-based test, is used to determine personality type, which influences perceptions of the world and the ways in which individuals make decisions. This system is based on C.G Jung’s typological theory and was developed by Katherine and Isabel Briggs. The purpose of this paper is to use the MBTI personality test to define the personality types of users. To accomplish this aim, we used Unity3D, Processing, and Vuforia SDK. First, the processing program was used to produce results from sixteen images and send them to Unity3D. Second, Vuforia SDK was used to recognize masks in real time and map images to the masks. Then, Unity3D displayed the final mapping result.
Development of a cloud cover reader from whole sky images
Authors: Yun Han-Kyung , Whang Sun-Min 
Published: April 2019

Since the cloud amount in the sky is one of major variables to decide amount of sunshine or solar irradiance. A traditional method is eye-observation and it is widely used up to now. It requires one of observers at observation site for 24 hours due to the hourly observation. Another disadvantage is that there is individual difference and error between observers. Some of leading countries about weather observation have been trying to develop a cloud automatic observation system to replace the eye-observation. As a result, several methods have developed to replace the cloud observers, which have some restriction such as measurement range, accuracy and reliability.Â The conventional approach distinguishes between clouds and sky regions by RGB color and the ratio of each color in the image, but our proposed method extracts the cloud region using the optical properties of clouds and sky. The suggested method is applied to a randomly selected one day for 24 hours.Â The result shows that the amount of cloud compatible with the results of the existing observations be abele to obtained, and further quantified data can be obtained.Â
Strengthening of Reinforced Concrete Beam Elements by Wrapping with Gfrp
Authors: Tamil Selvi Dr , P.B. Sakthivel Dr , PoornimaGandhi R 
Published: April 2019

Structural elements need to strengthening and retrofitting works as a result of ageing, upgrading of structure due to new design codes or any Environmental issues. The strengthening or retrofitting of existing structures are done externally to the structural members using various techniques such as jacketing, retrofitting, guniting and shotcreting, and ferrocement techniques. The experiment is carried out to increase the load carrying capacity of structure by wrapping externally the beam elements with Glass Fibre Reinforced Polymer mats (GFRP) is wrapped around the beam elements. The load carrying capacity is analysed using single and double layer wraps on damaged and undamaged specimens and compare with conventional beam as control specimens. Beam specimens of size 750 mm x 150 mm x 150 mm with M30 Grade concrete used in the experiment. The result of flexural strength and load – deflection of test and control beam have brought out with energy absorption coefficient. The study results have demonstrated that the performance of 1 layer GFRP wrapped beams show an increased load carrying capacity of 1.86 times of that of conventional beam, and 2 layer GFRP wrapped beam show an increase in load capacity of 2.6 times of that of conventional concrete.
Textile Industry Wastewater Color Removal Using Lemna Minor L and Lemna Minuta L
Authors: Sivakumar D , Anand R , Saral Asanammal 
Published: April 2019

The influence of various nutrient dosages, dilution ratios and pH values was evaluated with different contact time against colour removal from textile industry wastewater using Lemna minor L and Lemna minuta L. The optimum nutrient dosage, dilution ratio, and pH value was found to be 50 mg, 8 and 8 respectively. The maximum colour removal corresponding to the optimum process parameters value observed using Lemna minor L as 82.85 % and using Lemna minuta L as 89.5 %. Further, verification was done and showed that the maximum colour removal percentage from textile industry wastewater is lower than colour removal from an aqueous solution. The results of this study concluded that Lemna minuta L removed more colour than Lemna minor L and both were identified to reproduce the obtained optimum process parameters and for removing colour in a textile industry wastewater.
A Survey on Multi-Layer Mimo for Lte/Lte-Advanced
Authors: Devi.J Anjana , R. Dhaya Dr , R. Kanthavel Dr 
Published: April 2019

The primary intention of the paper is to explore on various Multi-Layer MIMO approaches for the higher system performance. MIMO technique is said to be the key technology in LTE-A to achieve the spatial diversity in the system. Multi-Layer MIMO is the enhancement to the MIMO technology where multiple streams of data could be transferred to different layers for optimization with increased capacity in the network in high SNR condition. In a massive MIMO system, the cell interference hinders the system performance due to high channel dimensionality. The main design objective of the Multi-Layer MIMO techniques studied is to reduce the Cell Interference with lower complexity.Â Â
Inter-Contact Routing for using Mobile Phone System
Authors: M.Malathy Dr , J.Alin Mercybha P , Jebasty Kiruba J , Benisha M 
Published: April 2019

Disaster management is the important filed in our world. It is based on communication between rescue-workers and trapped survivors in the disaster situation. In this paper, two main components are namely messaging system and self rescue system. Messaging system runs on rescue workers as-well-as trapped survivors. Self rescue system runs on trapped survivors. When the rescue workers enter into the spot for recovery works they will provide network continuously within certain distance and range. The head node collects all the necessary information about the nearby trapped survivors in their group. The rescue worker forwards the collected information of the trapped survivors to the command centre. The command centre finds the route between rescue workers in disaster region using AODV routing protocol.