bluuebunny/crossref_metadata_2025 huggingface dataset:
The Elastic Properties of Unidirectional Bamboo Fibre Reinforced Epoxy Composites
Authors:   Pursuing Doctoral Study, MJIIT UTM, Kuala Lumpur, Malaysia., Nurihan* O. , Hisham Mohammad Ridwan Mohd ,   Engineer, Favelle Favco Equipment Services Sdn. Bhd, Petaling Jaya, Selangor, Malaysia., Rasid Zainudin A. ,   Senior Lecturer, MJIIT UTM, Kuala Lumpur, Malaysia., Hassan Mohamad Zaki ,   Senior Lecturer, UTM, Kuala Lumpur, Malaysia., Mohd Nor Ariff Farhan ,   Pursuing Doctoral Study, Department of Mechanical Precision Engineering, MJIIT, UTM Kuala Lumpur, Malaysia.
Published: October 2019

Natural fibres such as kenaf, jute, bamboo, flax and wood have been the subject of intensive researches in the area of fibre reinforced composite due to their environmental advantages of being renewable, biodegradable and sustainable. Bamboo fibre can be a good choice of natural fibre reinforcement for structural applications due to its excellent strength to weight ratio that is comparable to that of mild steel. In this study, mechanical properties of both continuous and short bamboo fibre reinforced composites are predicted using micromechanical approaches. The finite element method was used where three-dimensional micromechanical representative volume element with square and hexagonal packing geometry was implemented. The results were then compared with the findings from analytical approach that includes the rule of mixture and the Halpin-Tsai model. It was found that for all properties, the FEM and analytical methods give comparable trends of property on volume fraction plots. Furthermore, the longitudinal modulus given by all models are in excellent agreement as it increases linearly with the increase in bamboo fibre volume fraction.
Reduced Output Fluctuations of Hybrid System using SCIG by Fuzzy Logic Controller
Authors:   Department of Power Systems, from Andhra university college of engineering, Divya* M. , Santhi R.Vijaya ,   Assistant Professor in department of electrical engineering ,Andhra University College of Engineering .
Published: October 2019

In this paper, the Squirrel Cage Induction Generator(SCIG) with distinct controllers to deal with a hybrid wind hydro scheme is employed. In order to reduce the output power fluctuations in SCIG, including energy storage in the battery, a fuzzy logic controller is proposed. This controller smoothens the reactive power to the supplied load by the wind generator. The proposed controller has faster convergence compared with usual PI controller under the presence of parametric variations and uncertainties. From literature, the control scheme as many controllers operates on the Proportional Integral control, which is easy to enforce and performs well under linear conditions of load. But the proposed controller operates not only linear load but also under nonlinear load conditions. Simulation results show the robustness of the proposed controller in eliminating the harmonics, efficiency and minimizing peak oscillations of the output voltage when compared with the conventional controller.
Development of a Novel Neural Network Model for Brain Image Classification
Authors:   Dept. of Computer Science and Applications, Utkal University, Bhubaneswar, India., Satapathy Pranati , Pradhan Sateesh Kumar ,   Computer Science and Applications, Utkal University, Bhubaneswar, India, Hota* Sarbeswara ,   Computer Application, Siksha O Anusandhan Deemed to be University, Bhubaneswar, India
Published: October 2019

The analysis of brain MRI images is highly beneficial for the medical practitioners. Since the manual study of these images are time consuming and tedious, the automated process using software based system have been developed. The machine learning techniques are applied in developing brain MR image classification process. The classification process consists of dataset preparation, feature extraction, feature reduction and the use of classifier. In this paper, 2D DWT is used for feature extraction and PCA is used for feature reduction. ELM model is used as a classifier. The input weights and biases in ELM are randomly assigned. So EHO algorithm, a newly developed bio inspired algorithm is used to optimally determine the input weights and biases of ELM model. The classification performance of the EHO-ELM model is compared with basic ELM model for three of the brain MR image datasets. From the simulation study, it is found that the proposed EHO-ELM model outperformed the basic ELM model.
Benign and Malignant Tumor Classification using Machine Learning Technique
Authors:   Gokaraju Rangaraju Institute of Engineering and Technology, Dept. of ECE, Hyderabad, Telangana, India, Kumari* Ch. Usha , Rao N.Madhusudhana ,   Gokaraju Rangaraju Institute of Engineering and Technology, Dept. of ECE Hyderabad, Telangana, India, Kumar M.N.V.S.S ,   Aditya Institute of Technology and Management, Dept. of ECE, Tekkali, India, Pinninti Kishore ,   VNR Vignana Jyothi Institute of Engineering and Technology, Dept of ECE , Hyderabad, Telangana, India, Reddy M Pala Prasad ,   Institute of Aeronautical Engineering, Hyderabad, Telangana, India
Published: October 2019

Brain tumor is the growth of large mass of abnormal cells in human brain. Brain tumors are of different types benign and malignant. Benign tumor is noncancerous and malignant tumor is cancerous. This research paper classifies benign and malignant using SVM classifier. The image processing techniques are used for image enhancement and restoration. Total 60 images are taken out of which 30 images are benign i.e., noncancerous images and 30 images are malignant i.e., tumor images. Image Filtration is performed on the input MRI image by using median filter. Segmentation is done using thresholding technique and Gray Level Concurrence matrix is used for the feature extraction. Features such as entropy, energy, homogeneity, correlation, contrast, IDM, RMS, standard deviation and mean are extracted for tumor region. After feature extraction all these features are given to SVM classifier to classify benign and malignant tumors. The SVM classifier has given 97.7% accuracy.
Enhanced Methods of Mobile Cache Sharing and Pre-fetching for Required Web Contents
Authors:   Department of Computer Applications, Nesamony Memorial Christian College, Marthandam – 629 165, India, Bhomini* P. Amudha , J.S Dr. Jayasudha ,   Department of Computer Science and Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, India.
Published: October 2019

Availability of content over the web is increasing exponentially. The demand for content by users is also increasing rapidly. The problem of making the right content available to user at the right time will continue to be a crucial issue. As variety of contents are available and variety of users are involved, there is no single way of matching the availability versus need and deliver content instantly especially in a limited mobile environment. Hence a hybrid method is proposed in this paper by combining the different techniques such as caching, pre-fetching and cache sharing with noise reduction to improve the overall performance of mobile for optimal cache memory utilisation, efficient bandwidth utilization, network traffic reduction and latency reduction. Efficiency of mobile caching and pre-fetching is improved using Enhanced Bloom Filter technique and data is shared among cooperative users by establishing a voluntary hub. The unwanted contents in the web page can be considered as noise which is removed when storing the web pages in cache or pre-fetch area. The success of the proposed method greatly depends on the hit ratio of contents rendered locally rather than getting it from server. In order to reduce server hits, sharing the contents of cache and pre-fetch area amongst mobile users is effective. Whenever any user requires new content, even if it is not available in browser cache or local cache of that user, the content can be rendered from the cache or pre-fetch area of collaborative mobile users rather than hitting the server. This hybrid cooperative cache sharing and pre-fetching for accessing the required contents improve the overall performance and hit ratio than the existing methods.
Quantity Assessment of the Risk of Investment Projects
Authors:   Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Getman», Kyiv, Ukraine, Riepina Inna , Hrybinenko Olha ,   Faculty of Finances and Economics, Dnipro University of Technology, Dnipro, Ukraine, Parieva Nataliia ,   Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine, Parieva Oleksandra ,   Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine, Savenko Igor ,   Management and Logistics Department, Odessa National Academy of Food Technologies, Odessa, Ukraine, Durbalova Natalia ,   Department of Management and Logistics, Odessa National Academy of Food Technologies, Odessa, Ukraine
Published: October 2019

The key to increasing the value of the enterprise, its competitiveness and profit level, respectively, is a timely and adequate investment in the investment project. However, the risks that have been underestimated can adversely affect the sustainability and financial performance of the enterprise. That is why it is essential to quantify the risk of investment projects. The article covers the issues of quantitative risk assessment of an investment project. The concept and methodology of investment risk assessment are considered. The methods of a quantitative evaluation of risks are presented. The simulation experiment was performed.
Portfolio Optimization of the Mean-Absolute Deviation Model of Some Stocks using the Singular Covariance Matrix
Authors:   Master Program in Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia, Kalfin*  , Sukono  ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Bandung, Indonesia, Carnia Ema ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Bandung, Indonesia.
Published: October 2019

Investing in the stock sector, investors often face risk problems. Usually, forming an investment portfolio is done to minimize risk. In this research, investment portfolio optimization is discussed. The data analyzed are 8 shares traded on the capital market in Indonesia through the Indonesia Stock Exchange (IDX). Optimization is performed using the Mean-Absolute Deviation model with the singular covariance matrix to determine the optimal weights. The results of portfolio optimization Mean-Absolute Deviation model with singular covariance matrix method, was obtained optimal portfolio weights that is of 17.22% for BBCA shares; 26.64% for TKIM shares; 9.96% for BBRI shares; 9.96% for BBNI shares; 8.70% for BMRI shares; 3.75% for ADRO shares; 6.52% for GGRM shares; and 17.25% for UNTR shares. Where the optimal portfolio composition is obtained the expected rate of return (expected return) of 0.18% with a portfolio risk level (standard deviation) of 0.07%.
Imperative Quality of Life in Built Environment in Indian Suburb as Per Opinion Poll
Authors:   Research scholar Malaviya National Institute of Technology, Jaipur, India., bhyan* Ar.Parul , Shrivastava Dr. Bhavna ,   Assistant Professor in Architecture and Planning Deptt, Malaviya National Institute of Technology Jaipur, Jaipur,India.
Published: October 2019

The expression “quality of life” is elementally ambiguous, as this can be interpreted as both an individual experiencing his or her own life and to their surrounding living condition. Living condition or life satisfaction is the eventual outcome of blend of various parameters of imperative quality of life and possessed built environment related to individual. The reformation of built environment in residing settlements of a city can be possible after the quantification of disparate parameters that exert influence on built environment and its impact on quality of life. So, this paper dispenses with the use of Pareto analysis as quantification tool, to evaluate major parameters, to assess the quality of life of the Indian suburb area, to their physical built environment as it contributes vital role in providing habitable condition.
Hybrid Model building for forecasting New Product Demand in Retail Chains
Authors:   Associate Professor, Faculty of Management Sciences, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India., Biswal* Dr. Saroj Kanta , Das Mrs. Biswajita ,   Research Scholar, Faculty of Management Sciences, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India., Mishra Dr. Soumya ,   Assistant Professor, Faculty of Management Sciences, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India.
Published: October 2019

Predicting the demand of new products is extremely crucial as it has a strong bearing on manufacturing decisions, marketing efforts, sales strategies, financial planning and profitability. Predicting new product growth poses the challenge of having limited historical data points to model. In addition, they have highly uncertain future demand patterns and are heavily influenced by a host of external factors that are not completely known in the initial stages of the product life cycle. This solution adopts a hybrid methodology by analyzing the influence of new product adoption, its replacement cycle, behaviour of innovators and imitators purchasing this product and the impact of leading macroeconomic indicators on its demand.
Deep Learning Technique for Detecting NSCLC
Authors:   JSS Academy of Technical Education, Bengaluru, India., Hegde* Bhargav , Hegde Mahesh ,   JSS Academy of Technical Education, Bengaluru, India., C Chetan ,   department, , JSS Academy of Technical Education, Bengaluru, India., P* Dayananda ,   department, , JSS Academy of Technical Education, Bengaluru, India.
Published: October 2019

The lung cancer is one of the major cancers in the world. In lung cancer we have two main types. They are small cell lung cancer and non-small cell lung cancer. In this paper we mainly concentrated on the detection of non-small cell lung cancer. There are several types in NSCLC and we have several stages in NSCLC. The flow of proposed paper consist the following steps: (1) Background: Here we describe the different types of lung cancer and mainly about NSCLC; (2) Methods: To find the NSCLC, we are using the Recurrent Neural Network (RNN); (3) Results: After the training and prediction of the model, we will get the final result as weather the given patient suffering from NSCLC or not; and (4) Conclusions: The given model is working for all the possible datasets and the training accuracy is 88%. The accuracy of the model is mainly depends on the epoch value. For ideal epoch value the accuracy of the model is high. Dataset: The datasets are taken from the NCBI website. We have used the nucleotide datasets of the NCBI website. The datasets are open source and easily accessible. We have used the DNA sequence data of the human genome data. All the NSCLC patients data are taken as positive data and human reference gene data are taken as negative data.
Advanced Face Recognition Based Door Unlock System using Arduino
Authors:   Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India., B* Nethravathi , S S Sinchana ,   Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India., B C Anil ,   Department of Information Science and Engineering, J S S Academy Of Technical Education, Bengaluru, Karnataka, India.
Published: October 2019

Internet of Things (IoT) offers incipient and exhilarating opportunities to increment the connectivity of contrivances within the abode for the purport of home automation. Mobile contrivances are ideal in providing a utilizer Interface in a habitation Automation system, due to their portability and their wide range of capabilities. The main purpose of this paper is to design and implement an efficient home security system. Using IoT controlling and automating the entrance of house through an easy manageable interface and cloud can be used as database of the information collected. The proposed work consists of the home security with real time access and control via mobile phone and Arduino as control unit. A security system which has a webcam is deployed at the entrance of the house. This is connected to the Arduino. GSM module is used to send alert messages. Face recognition is done through EHD algorithm using MATLAB.
EVMS: Explosive Vehicle Monitoring System with IoT
Authors:   Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India., Godi* Brahmaji , Muttipati Dr. Appala Srinuvasu ,   Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India., Sangeeta Dr. V. ,   Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India., Renugadevi Dr. N. ,   Department of Computer Science and Engineering at National Institute of Technology Warangal, Telangana, India.
Published: October 2019

Internet of Things (IoT) is playing a dynamic role in day to day human lives. It is an integrated platform relates with physical sensor components, wireless device networks, cloud based databases and application monitoring systems. Technology of IoT expanded in many research areas such Agricultural forming, Air pollution, Wastage management, E-health monitoring etc. In this scenario the proposed system which relates to logistical industrial operation so, the authors try to use the Internet of Things as a solution to the problem. At present moving explosive vehicles are not monitored specifically by any online automated system. The aspect of monitoring and controlling moving heavy explosive vehicles is tough, which are carrying huge amount of cargo such as pharmacy chemicals, oils, gases. It is very difficult to monitor the moving vehicles in industrial areas and other locations. The major problem is with the identification of certain issues such as local and global positioning, parking places, filling stations road and traffic directions, sound identification, leakage management, and other safety measures of the vehicles. The primary elements of the proposed IoT system are analyzed based on IoT architectural model and wireless sensor networks. It supports the physical devices to work connectively as to collect and send the exact information through the online application to monitor the moving explosive vehicles. This system is further called the Explosive Vehicle Monitoring Systems (EVMS). The authors believe that the EVMS can regulate all major problems mentioned above. This paper will observe the possibilities of future implementation of the EVMS system.
The Effect of Emotional Intelligence on Job Performance among Educators in Malaysia
Authors:   School of Business Management, Universiti Utara Malaysia, Malaysia, Husin* Nurul Sharniza , Hamid Rawiyah Abd ,   School of Business Management, Universiti Utara Malaysia, Malaysia., Aziz Noriza Abd ,   Islamic Business School, Universiti Utara Malaysia, Malaysia., Saoula Oussama ,   School of Business Management, Universiti Utara Malaysia, Malaysia., Ismail Saiful Azizi ,   School of Business Management, Universiti Utara Malaysia, Malaysia.
Published: October 2019

This study aims to understand the effects of emotional intelligence towards job performance among primary school’s educators in Malaysia. The emotional intelligence effect educators’ abilities to success in controlling the pressure from the work responsibilities and environmental demand. In analysis part, descriptive study through distributing questionnaire will conduct to evaluate the effect of emotional intelligence on job performance among educators.
Synthesis of Mo-Cu Nanoalloys and Computer Aided Thermal Analysis of Mo-Cu Nanoalloys Based Heat Sink
Authors:   M. Tech. Scholar, Department of Mechanical Engineering, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana., Kumar* Guda Rajesh , Kondayya D. ,   Professor, Department of Mechanical Engineering, Sreenidhu Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana
Published: October 2019

Mo-Cu alloys are used as heat sinks, microwave absorbers in microelectronic devices and as electric contacts in circuit breakers. Mo-Cu nanoalloys with average sizes below 200 nm were prepared using molybdenum powder and copper nitrate. Compositional characterization of Mo-Cu alloys was carried out using portable XRF. The developed material i.e. Mo-Cu is used as heat sink application in which the heat sink is modeled and thermally analyzed for evaluation of heat flux. The heat flux obtained was compared with heat sink made of aluminum. It was observed that the Mo-Cu heat sink exhibited superiority in withstanding higher temperature whereas, heat sink designed from aluminum was limited with their parameter which is thermal conductivity.
Dolphin Echolocation Based Generation of Application Definite Noc Custom Topology
Authors:   Department of ECE, Oxford Engineering College, Trichy, India., Poornima* N. , Santhi M. ,   Department of ECE, Saranathan College of Engineering, Trichy, India., Seetharaman G. ,   Department of ECE, Saranathan College of Engineering, Trichy, India.
Published: October 2019

Invention of new electronic devices in this technology driven-world has been setting a new scale for faster reach in terms of utilization and communication. The imperfection in the System on Chip (SoC) lead to an innovation of Network on Chip (NoC) that elucidates the communication defects and thereby set a new path for the researchers to enhance the network connectivity. Nature is an inspiration for most of the technologies invented by the researchers. In this paper, we have dealt the existing physical flows and future difficulties with Reliable Reconfigurable Real-Time Operating System (R3TOS) as a software interface with NoC with the proposed customized topology of Transmission Rate based Topology Design using Dolphin Echolocation (TRTD-DE) algorithm. Echolocation is biological scanning system that used by dolphins for movement and chasing the prey. The above ability along with Data flow pipelining (DFP) constructs the customized topology that process the parallel flow of data in order with the availability of the input data. The topology effectively increases the performance due to the clustering phenomena. The algorithm greatly reduces the latency period which is the significant of the topology and increases the throughput. The objectives of the research in the reduction of transmission rate and energy utilization are tested with different multimedia benchmark applications. The transmission rate reduced to average of 41.39% while average of energy consumption reduced to 31.9%.
Briquetting of Biomass for Low Cost Fuel using Farm Waste, Cow Dung and Cotton Industrial Waste
Authors:   Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India., Sampathkumar* V. , Manoj S. ,   Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India., Nandhini V. ,   PG Student, M.E, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India., Lakshmi N.Jothi ,   Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India., Janani S. ,   Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu, India.
Published: October 2019

The ultimate source of energy for crucial activities like cooking, heating and parboiling process is burning wood and other agricultural products. Due to growing populations utilizing resource of combustible biomass materials will finally result in insufficiency of those materials until certain measures are taken to secure them. It mainly focuses on the minimization of pollution especially land, water and air and to avoid the deforestation mainly for many fuels for burning. The product taken is the by-product, which is obtained from the residue left after letting the cotton industrial waste for reuse. The raw materials used are cassava waste, coconut shell, groundnut shell, cotton waste and cow dung with thirty different mix ratios. The briquettes were made without using any binder. Using hydraulic pressure with UTM given to produce the briquettes are 5.0 kN/cm2, 5.6 kN/cm2 and 6.0 kN/cm2. Good energy content has been obtained when the pressure for producing briquettes at 5.6 kN/cm2.These briquettes are mainly used for industrial boiler running and cooking purpose.
Ornament and Decor as Semiotic Elements
Authors:   Kazakh National Pedagogical University of Abay, Almaty, Kazakhstan, Muratayev* Kurman Kaliyevich , Nekhvyadovich Larisa Ivanovna ,   Altai State University, Barnaul, Russia., Turganbayev Eric Suleymenovich ,   Almaty University of Power and Communication, Almaty, Kazakhstan., Turganbayeva Shakhizada Sainbekovna ,   Kazakh Leading Architectural and Civil Engineering Academy, Almaty, Kazakhstan.
Published: October 2019

This article considers the worldview, embodied in the decoration on Bronze Age pottery, created by the tribes of the Andronovo culture period (2nd millennium BC) in the territory of Kazakhstan. The Andronovo culture dates back to the Chalcolithic period when communities of the geometric pottery cultures lived here. Pottery was on the one hand utilitarian, and on the other sacral in use, combining elements of sculpture (the shape of a vessel) and painting (decorating an object). In the pro-cess of historical development, in accordance with the regularities of immanent formation and under the influence of external factors, several features of the decoration components emerged. The article contributes to the study of the problems, which remain relevant and require understanding. The opportunities for interpretation of pottery as a source and the use of different analysis methods allow for extracting new ethnological and art history information.
Learning Electrolysis with Podcasting in the Higher Education: From Implementation to Results
Authors:   Chemistry and Physic of Materials Laboratory, Hassan II University, Casablanca, Morocco., Ibtissam* CHRIFI , Elmostafa TACE ,   Chemistry and Physic of Materials Laboratory, Hassan II University, Casablanca, Morocco., Mohamed RADID ,   Chemistry and Physic of Materials Laboratory, Hassan II University, Casablanca, Morocco, Younes YAZZA ,   Training Center for Educational Inspectors, Rabat, Morocco.
Published: October 2019

Our contribution comprises two major parts: the first one aims to explain how to implement the technique of podcasting within a faculty of sciences, following a well-adapted educational scenario. The second one, is dedicated to a study about integration of learning activities focused on the Electrolysis chemistry, in the form of video capsules. Indeed, 90 questionnaire were distributed to a group of students in the second year undergraduate degree, enrolled in Materials Science Chemistry, then, 30 semi-structured individual interviews were conducted with students and their teachers. The analysis of these interviews and results from the questionnaires, according to three targeted indicators, showed that the learners in the higher education are very interested in the technique of podcasting, and consider it as a suitable device for their informal learning sphere, and that the podcasts submitted by their teachers remain the most favorite for their motivation and self-learning. For their teachers, the device is a new necessary alternative to the improvement and renovation of their practices, and for the regularization of the use of smartphones in an academic sphere in order to enhance scientific student’s skills. This article is part of a perspective that propose an innovative tool, which could bring more efficiency to teaching practices vis-à-vis the democratization of training in the higher education. It is a logical continuation of the research works on the relevant role of educational technologies in the renovation of the future universities, and of the positive impact on the students learning in these universities.
Automatic Localization and Extraction of Optic Disc using Darwinian PSO and Morphological Operations
Authors:   Research Scholar, ECE department, JNT University, Ananthapuramu, Andhra Pradesh, India., R* REMYA K , M N GIRIPRASAD ,   Professor, ECE department, JNTUACE, Ananthapuramu, Andhra Pradesh.
Published: October 2019

Locating and earmarking of the optic disc (OD) is a crucial step in the automatic identification of retinal diseases. In advanced stage of proliferative diabetic retinopathy on disk , the delicate blood vessels starts to grow in the disk and hence needs to be clearly identified for better grading of diabetic retinopathy . Furthermore exudates and optic disc share almost same intensity level and may lead to wrong classification if the latter is not identified and removed before the classification. In this paper, we propose an efficient automated system for OD detection and extraction so that exudates are extracted more effectively which will improve overall accuracy in diagnosis of Diabetic Retinopathy. A novel multilevel thresholding optimized by Darwinian Particle swarm Optimization is adopted to detect optic disc in the fundus image. Later Morphological operations are performed to extract the optic disc with precision. The suggested algorithm is tested on four publically available databases like MESSIDOR, DRIVE, and DIARETDB1. Performance of the algorithm is analyzed from the scatter plot. From the scatter plot, it is observed that manually labeled and automatically detected OD centers have a high positive correlation.
A Relay Mote Wheeze for Energy Saving and Network Longevity Enhancement in WSN
Authors:   Research Scholar, Sri Siddhartha Academy of Higher Education, Tumakuru, India., Prasad N Achyutha , Guruprakash C D ,   Professor, Computer Science & Engineering, Sri Siddhartha Institute of Technology, Tumakuru, India.
Published: October 2019

Weather Monitoring, surveillance of enemy vehicles, sensed data delivery are few of the applications of Wireless Sensor Networks. All the applications want the nodes to spend their energy in the critical activities. Lifetime depends on the residual energy of the nodes in the network. In this work we modify the Global Energy Balance [1] algorithms to have better network lifetime by making use of fixed relay nodes at various positions in the network. The selection of relay node is based on the distance and residual energy of the relay node all through the route discovery practice. The FRNS scheme is compared with existing algorithms for diverse parameters like End to End Delay, Overall Hops Count, Overall Alive nodes and Dead nodes, Residual energy, Lifetime ratio, Energy Consumption, Throughput and Routing Overhead.
Prediction and Diagnosis of Dravet Syndrome Data Set for Myoclone Disease
Authors:   Research scholar, Mass College of Arts & Science, Kumbakonam, Radha* C. , Kumar Dr. K. Ramesh ,   Assistant Professor, Dept. of Computer Science, Mass College of Arts & Science, Kumbakonam
Published: October 2019

This article presents the detailed introduction on the dravet syndrome data set which has been collected from various medical organizations. The data set has various informations about the patients and it has been framed with different attribute. The myoclone disease has been identified in various patients of different geographic locations in different age groups. It occurs with the patients with various neurology conditions according to different other factors. We display the list of parameters like Prediction Accuracy, False Prediction Ratio and Rule Generation Efficiency and features considered.
Abnormal accounting accrual Management by internal and external Market Discipline: The case of Tunisian banks in the context of the ‘Arab Spring’
Authors: Gassouma Mohamed Sadok
Published: October 2019

Problem/Relevance: This paper deals with such market disciplinary factors as shareholder ownership, audit committee composition and Basel III prudential regulation affecting accounting manipulation measured by abnormal accruals in Tunisian banks in the event of managerial deviation from regulatory requirements
Research Objective/Questions : The aim of this study is to estimate the abnormal accruals that measure the accounting manipulation, and to test the effect of disciplinary and regulatory factors accordingly to The spring Arab revolution, on accounting Manipulation.
Methodology: We propose to construct abnormal accruals as an endogenous variable, using the classic Kothari model (2005), in order to explain them by means of the “difference-in-difference” estimation approach (DID), understand the significance of the evolution of the manipulation, and explain these accruals using internal and external disciplinary factors. On the other hand, we use the credit risk portfolio manipulation theory advocated by Nessim (2003) and Repullo (2007), to understand the concept of actual venture capital of Tunisian banks after the Arab Revolution.
Major Findings : The results show that the situation of Tunisian banks has dramatically worsened since the Tunisian Revolution. The DID approach showed an exacerbation of abnormal accruals and a manipulation transfer from net income smoothing to credit portfolio value smoothing in order to reach a healthy financial situation. This aggravation is linked to the market discipline deterioration, the shareholders, the external auditors and the supervisory board.
Implications : Before the Revolution, accounting manipulation was mainly caused by banking undercapitalization that led managers to offer more risky credit in a diluted ownership market and in an informational asymmetry situation characterized by the absence of the audit committee. After the Revolution, accounting manipulation resulted from an overcapitalization situation, which led managers to grant more risky credit. To circumvent the shareholders’ supervisory power, managers manipulated credit portfolio values, offering a low level of credit risk, and circulating false beliefs for shareholders and depositors. This was done when prudential supervision was weak, leading to an information asymmetry and long-term conflict of interest between external auditors and managers through abnormal remuneration and a long relationship.
INFORMATION MANAGEMENT AND MEDIATION IN A DIGITAL REFERENCE SERVICE FOCUSED IN SOCIAL SCIENCES
Authors: Corda María Cecilia
Published: October 2019

This paper investigates the current relationship between information management and information mediation along with the digital reference service through a case study which took place in an academic library. The concept of information mediation is herein analyzed, since a conceptual examination provides elements that will help people to comprehend and evaluate the concerned service. The information professional plays a very important role in the mediation aforementioned, which may be directly or indirectly; consciously or unconsciously; by himself/herself or plurally; individually or inserted into a group – in all such manners that mediator facilitates the acquisition of information, fully or partially satisfying a user’s need of all sorts of knowledge. Meanwhile, we here approach information management from a scope that points out a description over performed activities concerned to policies and procedures put into effect until the service evaluation by proposing a criterion for such point. Finally, we outline a few actions to be implemented in long-term perspective, which goal is to continually ameliorate such assistance, taking in account the human factor.
Informational flow of Customer Service's Channels at brazilian mail and telegraph company
Authors: Fernandes Tatiana Falcão de Souza , Garcia Joana Coeli Ribeiro
Published: October 2019

This research analyzes the informational flow of the Customer Service Channels of the Brazilian Post Office and Telegraph Company, Regional Board of Directors of Paraíba, under the perspective of information management, questioning how the information of such flow has influence on the formulation of tactical actions for decision-making. With regard to the objectives, the methodology is classified as descriptive with qualitative approach of the case study type. For data collection, the research used the guided interview and documental analysis categorizing the information according to the content analysis for interpreting them. As result, the research found that every action, in a corporate level, occurs in a standardized manner, inclusive in reference to solution and response proposed to customers. Therefore, it can be concluded that the information flow of the Customer Service Channels, if treated in a systematic manner, is a useful tool for qualitative diagnosis of the offered services so as to identify the client’s need as well as to add value to the company, by improving its image and, finally to the local society.
Applications of knowledge management in the area of Librarianship and Information Science
Authors: Bem Roberta Moraes de , Coelho Christianne Coelho de Souza Reinisch
Published: October 2019

The knowledge management (KM) has become an important guideline for the Information and Knowledge Society, as well as for libraries. Thus, this article presents a literature review using a systematic approach, with the proposition of identifying trends and applications of knowledge management in the areas of Information Science and/or Library Science. It has been noticed that there are differences between the concepts of information management and knowledge management characterized as barriers to the implementation of KM. Libraries have often developed KM activities (especially regarding the sharing of knowledge, through Web 2.0 features). The uses currently applied are related to the use of blogs, wiki tools, shared classification systems (tagging), social networks, among others. But in some cases, the libraries are not properly aware of their work. It is necessary that they make KM a part of their routines and think of it in a systematic way, in order to channel resources, planning, among other things, and benefit from the improvements that can be achieved through KM, perfecting their services and satisfying their users.
Dados bibliográficos para o linked data
Authors: Jesus Ananda Fernanda de , Castro Fabiano Ferreira de
Published: October 2019

O Linked Data é um conjunto de melhores práticas criado para lidar com os problemas de recuperação de dados e de informações no ambiente Web e pode ser aplicado ao domínio bibliográfico, como forma de garantir que as bibliotecas compartilhem seus dados efetivamente. Objetiva-se analisar como a relação entre dados bibliográficos e o Linked Data tem sido abordada pelos profissionais da Ciência da Informação, a partir da realização da Revisão Sistemática da Literatura (RS). A RS foi o método que permitiu analisar o corpus documental e o estado da arte acerca dos dados bibliográficos e o contexto Linked Data. Como resultado analisou-se 56 artigos nos quais se observou que as principais preocupações ao discutir a temática são: apresentar projetos de adequação de dados bibliográficos ao Linked Data; discutir o processo de conversão de dados bibliográficos ao Linked Data; e realizar discussões conceituais sobre a adequação. Conclui-se que, embora os artigos apontem muitos desafios é uma unanimidade entre os documentos analisados que a adequação seria vantajosa para as bibliotecas.
The Ascent of Educational Psychology in Denmark in the Interwar Years
Authors: Hamre Bjørn , Ydesen Christian
Published: October 2019

In this article, we argue that an understanding of the interwar years and the ascent of educational psychology contribute valuable knowledge about the inner workings of modern-day education with regard to the links between society and education in general and the boundary between normality and deviation in particular. The establishment of the educational psychologist’s office at Frederiksberg in Denmark, the introduction of IQ testing, and the related psychological files of students provide an image of a period of measurement in schools during which IQ testing was decisive in decisions to transfer students to the remedial school. The testing and filing were the foremost important technologies of the period. We draw on sources that allow us to view educational psychology and testing in their local, national, and political context. The sources applied are primarily obtained from Frederiksberg City Archive that contains archives from the Educational Psychology Office.
Skolämnen och moralisk fostran: En komparativ studie av samhällskunskap och livskunskap
Authors: Landahl Joakim
Published: October 2019

School subjects and moral education: A comparative study of civics and life-skillsThis article is concerned with two school subjects that were introduced in Swedish schools during the 20th century: civics and life-skills. Drawing on textbooks in civics from the 1950s to the 1960s and textbooks in life-skills from the 2000s, the aim is to analyse and compare the morality conveyed in the respective school subjects during its introductory years. It is argued that civics and life-skills can be used to get a grip of differences between different historical contexts, since the two school subjects emerged in two different time periods. Civics emerged as a school subject for the comprehensive schools during the middle of the 20th century, and might therefore be labeled as a typically “modern” school subject, whereas life skills emerged in the late 1990s, and might therefore be labeled a “late modern” school subject. Given that these two school subjects emerge as novelties in two different time periods, they can be used to discuss how the meaning of moral education in schools is related to general social tendencies.
Attempting Institutional Change: Swedish Apprenticeship, 1890–1917
Authors: Hellstrand Sandra
Published: October 2019

Sweden never got an apprentice law after apprenticeship was de-regulated in 1864. This has been attributed to unified opposition to legislation from industry employers and trade unions, with the craft employers as the only advocates. Analysing the pattern of agreement and disagreement in the political struggle over apprenticeship in the Swedish case in 1890–1917, it is clear that opposition was not that uniform, nor was the support from the craft employers that undivided. This article makes use of Kathleen Thelen’s model of institutional change in order to shed new light on the developments in Sweden. The model states that any apprentice law requires a coalition of two or more out of the state, the crafts and the metalworking industries – divided into employers and workers. Legislation, in turn, is a near requirement for the survival of strong apprenticeship. In this article the Swedish case will be discussed in relation to two of Thelen’s cases, Germany and Great Britain. In Germany an apprentice law was passed in 1897, while in Great Britain no modern apprentice law was ever passed. Similarities can be found between both of these cases and the Swedish case.
A Diversity of Schools: The Danish School Acts of 1814 and the Emergence of Mass Schooling in Denmark
Authors: Larsen Christian
Published: October 2019

During the nineteenth century, national systems of mass schooling were established in western Europe. In Denmark, King Frederik VI passed a set of five schools’ laws in 1814: one for the village schools, one for the market town schools, one for Copenhagen, one for the duchies of Schleswig and Holstein and one for Jews, in order to create and regulate a system of mass schooling within his realms. This study aims to analyse the impact of the 1814 School Acts and thereby, the emergence of mass schooling in Denmark in the nineteenth century. Three aspects of the 1814 Acts are analysed in this article: firstly, how a local school administration was established; secondly, how new school buildings were built and thirdly, how a new form of teacher and a new teachers’ education was enacted at different stages across the King’s realm and countries, and with very different consequences.
Vocational Education and Industrial Relations: Sweden 1910–1975
Authors: Karlsson Tobias , Nilsson Fay Lundh , Nilsson Anders
Published: October 2019

In this article we discuss vocational education in Sweden against the backdrop of the changing nature of industrial relations in the period from ca 1910 to 1975. Drawing upon evidence from official inquiries and case studies of two industries (forest industry and shipbuilding), we show that Sweden in the 1940s and 1950s can be described as a collective skill formation system in the making, where firms, intermediary associations, and the state cooperated around vocational education and training. However, Sweden developed in a very different direction than similar countries. We argue that this remarkable change of trajectory cannot be understood without considering the simultaneous disintegration of the model of industrial relations, along with general changes in the system of education.
Discipline and Punish at Camp: Citizenship and the Issue of Violence at a Swedish Boy Scout Camp
Authors: Lundberg Björn
Published: October 2019

This article examines reports of physical punishment at the national Swedish Boy Scout camp Åvatyr in 1950. The Swedish newspapers Dagens Nyheter and Expressen described the events in terms of bullying and violence, while the camp directors declared that the reports were merely exaggerated accounts of innocent pranks and practical jokes. This article draws information from newspaper articles, Scout magazines and archival sources to discuss how the incidents at the Åvatyr camp tapped into a debate on disciplinary measures against children in Sweden. The analysis also concerns how these acts of punishment related to the Boy Scouts’ scheme of citizenship instruction. Finally, the long-term effects of this purported scandal are evaluated, including a call for reform of masculinity and citizenship ideals within the Boy Scout movement during the following decade.
Hemmafru eller gymnastikdirektör eller både och? Kvinnliga gymnastikdirektörer, GCI och folkhemmet 1932–1952
Authors: Yttergren Leif
Published: October 2019

Housewife or Physical Education Teacher? Or Both? Female Physical Education Teachers and the Welfare State, 1932–1952The purpose of the article is to analyse the occupational careers and lifestyles of 32 female physical education teachers during the period 1932–1973. The results show that women could work both as physiotherapists and as physical education teachers. Many chose the former, which in Central Institute of Gymnastics’ (Gymnastiska centralinstitutet, GCI) own historical writing has been reduced in favor of the physical education teachers. The women came from the middle or upper middle class of society. They were around 20 years old when they started the two-year education at GCI, which attracted students from all over the country. They could combine marriage and children with work, even though it meant duplication and difficulty in bringing together the so-called “life puzzle.” Unlike many other women at this time, the physical education teachers chose the occupational career instead of becoming full time housewives. Their attitude can be explained by the occupational and caring character of the profession, but also with the strong loyalty that existed in the group and the GCI-spirit.