bluuebunny/crossref_metadata_2025 huggingface dataset:
Barriers in Adoption of IFRS in Developed and Developing Economies: TIFS Framework
Authors:   Director, Cynna India Pvt. Ltd. India, Ahmad* Mohd. Junaid , Ahmad Mohd. Moneef ,   Research Scholar, Department of Commerce, AMU, Aligarh, India, Mohd Anuddin ,   Research Scholar, Department of Commerce, AMU, Aligarh, India, Ajmal  ,   PDF scholar, ICSSR, Department of Commerce, AMU, Aligarh, India
Published: December 2019

Purpose- International Financial Reporting Standards (IFRS) has mustered enough attention from accountants, bankers, Multinational Companies, Government and social scientists, with many glorifying it over the antiquated financial reporting system. Despite the acceptance and all the initiatives; the execution of International Financial Reporting Standards have to encounter certain challenges, influencing its fruitful execution across developing nations. Moreover, no attempt has been made to create a conceptual framework for strengthening the existing research work. Methodology- The present research initiative underwent an in-depth review of literature pertaining to the various barriers impeding the effective execution of International Financial Reporting Standards for understanding and managing the business affairs keeping a parity between the national and global accounting aspects. Scholarly papers were reviewed from standardized and peer-reviewed journals and open sources. Almost a total of 100 papers were ascertained, published between 2001 and 2019. The data-driven qualitative content analysis and Hermeneutics were used for defining 30 barriers. Findings- The 30 barriers were thematically assorted into 4 conceptual categories, i.e. Technological Infrastructure (T), Individual, (I), Financial Constraints (F) and Supportive Environment (S). These categories formed the foundation to conceptualize the ‘TIFS’ framework that depicts the unique aspects impeding the successful execution of International Financial Reporting Standards. The findings reflect that majority of the articles only acknowledged briefing of such challenges. Practical Implications- The proposed ‘TIFS’ framework provides a way for the accountants of Multinational Companies, Strategists, Software developers, business intellectuals and experts as well as researchers. It enables the multiple stakeholders to have a bird-eye-view of the various hindrances for execution of International Financial Reporting Standards in the developing nations. Originality/Value- The paper fulfills the requisite to have a well-defined framework, which summed up the present research pertaining to barriers for execution of International Financial Reporting Standards accounting system.
Two-Step Verification Technique for Isolation of Black hole Attack in MANETs
Authors:   Computer Science and Engineering, National Institute Of Technology,Hamirpur,INDIA., Rao* A Sai Venkateshwar , Chauhan Dr Siddhartha ,   Computer Science and Engineering,National Institute Of Technology,Hamirpur,INDIA.
Published: December 2019

A network in which the nodes can configure themselves and change their locations is known as mobile ad hoc network. For connecting to other networks, MANETs use wireless connections since they are mobile. Signal protection and reliability of mobile nodes are the major challenges faced by the applications which use MANETs. An active intrusion attack that is initiated by a malicious node to degrade the network’s performance is known as black hole attack. A new approach is proposed in this research that uses the blacklist and clustering approaches to remove this attack from networks. NS2 simulation is used to conduct simulation experiments for evaluating the performance of proposed method. The outcomes show that the performance of proposed method is better in terms of different performance parameters as compared to the traditional approaches.
Extended Advanced Method of Clustering Big data to achieve high dimensionality
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India Research Scholar JNTUK, Kakinada A.P, India, Sreeram* N. , Prasad Dr.M.H.M. Krishna ,   Professor of CSE, Vice-Principal & Coordinator-TEQIP-III,, University College of Engineering Kakinada(A) J.N.T.U. KAKINADA, Prasad Dr.kK. Satya ,   Professor of ECE (Rtd), ,, University College of Engineering Kakinada(A) J.N.T.U. KAKINADA
Published: December 2019

Clustering is one of the relevant knowledge engineering methods of data analysis. The clustering method will automatically directly affect the result dataset. The proposed work aims at developing an Extended Advanced Method of Clustering (EAMC) to address numerous types of issues associated to large and high dimensional dataset. The proposed Extended Advance Method of clustering will repetitively avoid computational time between each data cluster object contained by the cluster that saves execution time in term. For each iteration EAMC needs a data structure to store data that can be utilized for the next iteration. We have gained outcomes from the proposed method, which demonstrates that there is an improvement in effectiveness and pace of clustering and precision generation, which will decrease the convolution of computing over the old algorithms like SOM, HAC, and K-means. This paper includes EAMC and the investigational outcomes done using academic datasets.
Optimal River Interlinking using Data Driven Machine Learning Techniques
Authors:   Department of IT, NEHU, Shillong, India., Nath* Amitabha , Lalhmingliana  ,   Department of Computer Engg., Mizoram University., India., Saha Goutam ,   Department of IT, NEHU, Shillong, India.
Published: December 2019

India's increasing population, rapid urbanization and indiscriminate destruction of water bodies creating a grave threat on its existing water demand and supply balance. Primary fresh water sources such as rivers and wells are gradually getting dry. As a consequence, it is estimated that India would become a water scarce nation by 2050. To address the issue, massive survey work was conducted and various inter basin water transfer schemes were chalked out. However, these schemes became subject of controversy owing to its technical risk and huge cost. To make this effort cost efficient, in this investigation, computational approaches have been undertaken to assist in the decision making process. Current research endeavour suggests that these efforts are quite accurate, less costly and can be carried out in much less time. The inputs to these computational models are landscape elevation, land use data, soil information, precipitation level etc.. The estimated optimal river interlinking routes will be the output of the proposed model. Several efforts have been undertaken earlier in this direction with various limitations. In this paper, we address the same issue using machine learning approach. For experimental purpose Jogigopa-Tista link is considered as the test case. Optimal routing path is been estimated using the developed technique. Thereafter, the results are compared with the National Water Development Agency (NWDA) proposed routes. It is found that the proposed model's outcome exhibits a considerable amount of similarity with the NWDA proposed route.
Experimental Programme on FRC with OPC only and FRC with OPC and Mineral Admixtures
Authors:   Civil Engineering department (GRIET), Hyderabad,India, Sanjeev Dr. N. , Manoj Katta ,   Structural Engineering GRIET, India, Reddy T. Sampath Kumar ,   Structural Engineering GRIET, India, Sairam T. ,   Department of Civil Engineering GRIET Hyderabad, India
Published: December 2019

Due to urbanization and population growth, the Construction industry is increasing rapidly over a few decades at the same time leads to increase in global warming too. In the construction, the main ingredient, Concrete which contains large amount as cement which act as a binder and Natural sand(River sand) as fine aggregate .During the cement production large co2 emits, which is mainly responsible for global warming as well as natural sand leads to Environmental degradation. So, in order to minimize this phenomenon's as well as to enhance advancements in construction industry an attempt is made in this research work to replace the cement partially with supplementary materials known as mineral admixtures. The mineral admixtures such as Fly ash, Ground granulated blast furnace slag (GGBS) and Metakaolin which are by products of industries which usage in concrete as cement replacer decrease the co2 emissions as well as disposal problems of industries and replacing natural sand with M-sand Strength as well as durability properties of FRC (@1% steel fiber by weight of binder) made with 100% OPC with different water binder ratios and concrete grades M25 and M40 were found. And then FRC made with OPC and mineral admixtures up to 45% with fly ash, Metakaolin and GGBS in different combinations were tested for strength and subjected to durability tests. For comparison durability and strengths were performed on M40 grade mix without fibres. It is observed during the analysis of tests FRC with mineral admixtures has performed better than that of FRC made with 100% OPC.
A Novel Video Game Recommender System using Content Based Filtering -Vidya
Authors:   Asst. Prof., CSE, GRIET-Hyderabad-India, Chythanya N* Krishna , Bhargavi Y Krishna ,   Asst. Prof. CSE, GRIET-Hyderabad-India., Rohan B. ,   IV Year, CSE, GRIET-Hyderabad-India.
Published: December 2019

This work is aimed at building an application that takes input from the user in the form of a few initial games and then proceeds to give recommendations to the user which they will tend to like. Recommendation systems position themselves to fill the gap caused by the presence of voluminous content and the lack of time .This will be done by building a substantial data backend, from which insight similarity will be generated upon processing. Natural Language Processing will be used to gauge the genre, plot and gameplay similarities, Key traits about the games have been extracted and used to fuel the recommendation process. The result was presented to the user in the form of an interactive web application, where they can pick-and-choose their preferred games among the system provided suggestions. The application performance is satisfactory based on Normalized Mutual Information (NMI) score we achieved. The work is applicable to recommend interesting games for the user.
Count Vectorized Spam and Ham Discernment of Short Message Service using Machine Learning Classification
Authors:   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Devi* M. Shyamala , Rahul Kamma ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Satheesh Manubolu ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Rajasekhar Koruprolu ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Kumar Pittala Ganesh ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: December 2019

With the growing volume and the amount of spam message, the demand for identifying the effective method for spam detection is in claim. The growth of mobile phone and Smartphone has led to the drastic increase in the SMS spam messages. The advancement and the clean process of mobile message servicing channel have attracted the hackers to perform their hacking through SMS messages. This leads to the fraud usage of other accounts and transaction that result in the loss of service and profit to the owners. With this background, this paper focuses on predicting the Spam SMS messages. The SMS Spam Message Detection dataset from KAGGLE machine learning Repository is used for prediction analysis. The analysis of Spam message detection is achieved in four ways. Firstly, the distribution of the target variable Spam Type the dataset is identified and represented by the graphical notations. Secondly, the top word features for the Spam and Ham messages in the SMS messages is extracted using Count Vectorizer and it is displayed using spam and Ham word cloud. Thirdly, the extracted Counter vectorized feature importance SMS Spam Message detection dataset is fitted to various classifiers like KNN classifier, Random Forest classifier, Linear SVM classifier, Ada Boost classifier, Kernel SVM classifier, Logistic Regression classifier, Gaussian Naive Bayes classifier, Decision Tree classifier, Extra Tree classifier, Gradient Boosting classifier and Multinomial Naive Bayes classifier. Performance analysis is done by analyzing the performance metrics like Accuracy, FScore, Precision and Recall. The implementation is done by python in Anaconda Spyder Navigator. Experimental Results shows that the Multinomial Naive Bayes classifier have achieved the effective prediction with the precision of 0.98, recall of 0.98, FScore of 0.98 , and Accuracy of 98.20%..
Detection of Microbial Activity in Raw Milk
Authors:   Department of ECE, Kongu Engineering College, Perundurai ,Erode ,Tamilnadu, India, Subramanian* Dr. Balambigai
Published: December 2019

Milk is a nutrient - rich white liquid food produced by mammals and is mostly consumed by human beings in their day to day life. Milk contains various nutrients such as proteins, calcium, Vitamin D, Vitamin K, Vitamin E, Vitamin A, lactose and minerals which are essential for the well being of the human beings. It is sometimes found that there is a presence of infective bacteria in raw milk. These bacteria may cause various diseases in human beings when consumed. This leads to poor health of the people causing economic burden to them along with disruption of their daily activities. Hence, it is essential to identify the presence of disease causing bacteria to analyze the quality of milk in real time , thereby preventing people from buying the infected milk. This work concentrates on identification of concentration of various gases that is produced in the infected raw milk by the disease causing bacteria . This spoilt milk also emanates bad odour and causes change in taste of milk. The proposed system uses PIC microcontroller and gas sensors to detect the concentration of various gases that are produced by various disease causing bacteria in raw milk and sends the data from the sensors to the user via Bluetooth for analysis. This system is very much helpful in real time due to the detection of disease causing microbes that may be present in raw milk which can be identified by the presence of ethanol, acetic acid, propane, methane and acetaldehyde gases, thereby preventing the use of spoilt milk by the people in milk diaries or at home.
EEG Correlates of Visual Signal Processing: Spectral Decomposition using ICA
Authors:   Research Scholar, Department of Physics, Pondicherry University, Puducherry, India, Vadla* Vamsi Krishna , Annavarapu Ramesh Naidu ,   Associate Professor, Department of Physics, Pondicherry University, Puducherry, India
Published: December 2019

Studies on signal processing of biological activities is a way to ascertain the anatomical and functional behavior of complex systems. Many biomedical signals represent their significance for understanding the systems, like ECG signals of heart and EEG, MEG signals of brain’s electro- and magneto- behavior reveals their importance. Availability of enormous amount of EEG data, with unwanted noise and artifacts, from complex systems, is challenging to uncover the underlying dynamics of signals sources. Functional analysis of this data requires various methods to remove the artifacts and noise present in it and further investigation of the system dynamics. In this paper, we discussed the removal of artifacts and noise from brain’s EEG activity to achieve artifact rejections of continuous EEG data and to apply Independent Component Analysis (ICA) to analyze the event-related tasks. Cluster decomposed signal components allow us to visualize the independent components of any number of subjects and subject groups. Differentiating vast electrical activity of an abnormal subject in comparison with a normal subject is possible with the decomposing signal. ICA approach helps in correlating the event-related EEG signals for a subject in two or more conditions of the same experiment; hence, it suggests in creating the data sets of epochs for every condition.
Soft Computing Techniques for Weather Change Predictions in Delhi
Authors:   PG Department of Computer Application, North Orissa University, Baripada, India, Mantri* Jibendu Kumar , Jayasingh Suvendra Kumar ,   PG Department of Computer Application, North Orissa University, Baripada, India
Published: December 2019

Weather forecasting and warning is the application of science and technology to predict the state of the weather for a future time of a given location. The emergence of adverse effects of weather has endangered the life of general public in previous years. The unpredicted flood and super cyclone in many places have created havoc. The government and private agencies are working on its behaviours but still it is challenging and incomplete. But, the application of soft computing techniques in weather prediction has made a significant perfomance now a days. This research work presents the comparative study of soft computing techniques like MultiLayer Perceptron(MLP), Support Vector Machine(SVM) and J48 Decision Tree for forecasting the weather of Delhi with ten years data comprising of temperature, dew, humidity, air pressure, wind speed and visibility. This paper tries to describe the comparison among above models using four different error values like Relative Absolute Error(RAE), Mean Absolute Error(MAE), Root Mean Squared Error(RMSE) and Root Relative Squared Error(R2) with a proposed model by defining new algorithm. Further the performance can be enhanced if textmining will be applied in this proposed model.
OpenCV libraries for Benzene Image Processing Applications using Python Programming
Authors:   Research Scholar, Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India, *U Vimal Babu. , M Dr.Ramakrishna. ,   Dean, IQAC & Professor, Mechanical Engineering, Vignan’ Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India,, Mani.M Dr.Naga ,   Senior Assistant Professor, School of Computer and information Sciences, University of Hyderabad, Gachibowli, Hyderabad, Telangana, India, Kumar Sandeep ,   School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, Telangana, India
Published: December 2019

Adulteration of Fuel is common feature among the trading community to get easy profits. Low cost similar boiling point range hydrocarbons, having alike composition are added as additives leading to modification and creates low quality when compared. to the base fuels. The existing methods of the addition of colours to the base fuels are a primitive method as the decolourant can be added to neutralize the colour of the end product. This paper will give the method of detecting the blending of fuel through image processing a better method. to the base fuels. The existing methods of the addition of colours to the base fuels are a primitive method as the decolourant can be added to neutralize the colour of the end product. This paper will give the method of detecting the blending of fuel through image processing a better method.
Toponomic Analysis of World Countries: Degree of Learning, Toponimic Classification and Natural Geographical Aspects ( Examples of European Countriyes)
Authors:   Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan., Mardanovich* Bayqabilov Khusnudin , Nigmatullayevich Nigmatov Asqar ,   Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan., Turanbayevich Mirackmalov Mirali ,   Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan., Maydanovich Karakulov Nurbol ,   Geography Teacher, Tashkent State Pedagogical University, Tashkent State Pedagogical University, Tashkent, Uzbekistan.
Published: December 2019

This article describes the state of geographical and toponomic aspects of the world countries’ names and its development trends. Physical and geographical peculiarities of names of the Europe region are cointrs. The names cointrs of the Europe of this territory are mainly names related to geographical location features of the place? Names associated with the relief, hydronums, phytonyms and zoonyms.
Design and Analysis of Stage Progressive Die for a Sheet Metal Component
Authors:   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia., Ab Kadir* Ahmad Razlee bin , Abdul Razak Mohd Zaki Bin ,   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia., Othman Norzalina bt ,   Head of Academic Services Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Mohd Sani Muhammad Izham Arief ,   Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia., Krishnan Pranesh ,   Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia.
Published: December 2019

Stamping die industries had been a significant impact on research and development of new technology for bigger and advance. To sustain the stamping die industry under the current global situation, cost and time are most important factors that need to be focus. In this case study, the main problem of design and analysis of progressive die is cost spent for die fabrication is high, the number of station or stages is high that will affect the production time and lifespan of tool is short. This paper focused at the stages or station that will be redesign to reduce the cost for the die, station optimization to reduce time taken for stamping process and simulate the design of tools to calculate the life cycle of punch. The study is conducted through AutoCAD and Solidwork to redesign the die and strip layout optimization. Subsequently, the ABAQUS/CAE and e-fatigue are used to completed the analysis and life cycle results for punch with various design of punch edge. Theoretical analysis indicates that design of punch plays a vital role in life cycle analysis.
Farm Mechanization and its Behavioral Effects on Displaced Rice Workers of Region III
Authors:   Vice- President, Research Extension and Training, Pampanga State Agricultural University, Philippines, Kempis* Emelita C.
Published: December 2019

With the current development in technology, agriculture has rapidly changed and accepting change and technology is key to mechanical progress. The use of technology has improved efficiency in producing, processing and distributing agricultural produce. Farmers are now gradually shifting to new and modern farming system. Historically, advances in farm mechanization have been made where a strong demand for labor in other industries has withdrawn workers from the land and forced wage rates up. Increasing use of farm machines requires less and less of human power, while, it is expected that mechanized farming leads to more productivity, the reversed is true to displaced farm workers. This research focused on discovering the impact of farm mechanization in the marketing of rice in Central Luzon, Philippines and its behavioural effects on rice workers who were displaced as a result of the use of farm machines.
Impact of ‘Smart Applications of IoMT (Internet of Medical Things)’ on Health-Care Domain in India
Authors:   Associate Professor, School of Management & Social Science, Haldia Institute of Technology, MAKAUT, West Bengal., Giri* Dr. Arunangshu , Chatterjee Satakshi ,   Assistant Professor, Department of Pharmaceutical Management, Haldia Institute of Management, MAKAUT, West Bengal., Paul Dr. Pradip ,   Senior Manager (Retail Sales), Haldia Divisional Office, Indian Oil Corporation Ltd., Haldia, West Bengal, India., Chakraborty Smita ,   Assistant Professor, Hospital Management Department, Haldia Institute of Health Sciences, West Bengal., Biswas Swatee ,   Officer in Charge, Administration Department, Haldia Institute of Management, MAKAUT, West Bengal.
Published: December 2019

The conventional model of the healthcare system has become obsolete now. With the evolution of the digital era, new advanced technologies and service platforms are highly in demand now. One such technology is the Internet of Medical Things (IoMT) which is a sub division of Internet of Things. It allows rapid proliferation of the information from the various interconnected devices through the help of wifi or cloud. This technology is both patient centric and organisation driven. It has become a mandatory for the organisation to implement this technology as without this, the organisations would be facing great challenges to meet the demand of the industry. This technology allows optimal service production with minimal cost investment. In this paper we will try to find out the scope and opportunities of IoMT in Indian health care sector and the impact of IoMT on increasing efficiencies of healthcare management. As statistical tools, Multiple Regression and Exploratory Factor Analysis (EFA) have been used in this study.
Design of Low Power and High Speed Decoder and Priority Encoder using Carbon Nanotube Field Effect Transistor for Binary Content Addressable Memory Array
Authors:   Research Scholar, ECE Department, JNTUK, Kakinda, India., Gangadhar* A. , Babulu K. ,   Professor, ECE department, JNTUK, Kakinda, India.
Published: December 2019

In this paper, design of Positive Feedback Adiabatic Logic (PFAL) based decoder and priority encoder using Carbon Nanotube Field Effect Transistor (CNTFET) for Binary Content Addressable Memory (BCAM) array is presented. The optimum set of CNTFET parameters such as number of tubes, chirality vector, pitch, dielectric constant and dielectric materials for low power and high speed encoder and decoder is used. The performance of proposed decoder and priority encoder is analyzed for average power, peak power and delay. Simulation results show that the proposed circuits outperforms compared to that of CMOS technology based circuits. The average power and peak power of the proposed decoder and priority encoder are in the range of μW while the range of values for CMOS based decoder are mW. The average delay of the proposed decoder is improved by 35.96% compared to that of CMOS based decoder. The average delay of the proposed priority encoder is improved by 30.77% compared to that of CMOS based priority encoder. All simulations are conducted for both CMOS and CNTFET based decoder and Priority encoder in HSPICE at 32 nm technology.
Technology Management: Strategic Model for Developing Nations
Authors:   VSM (Retd), Amity University Madhya Pradesh, Jain Maj Gen (Dr) S C
Published: December 2019

Technological leadership helps in building core competence. There is a qualitative and quantitative difference in the capability and competence. Core competencies very important assets and they do not come up in accounting books. Core competencies are mainly abstract and software like rather than hardware. With this as the back drop, it is required to have a strategic structure at national level to support technologies and competencies at all levels within the developing nations.
Influence of Expansive Agent on the Dimensional Stability and Mechanical Properties of Gypsum Plaster
Authors:   M.E (Struc),MISTE, Department of Civil Engineering, Francis Xavier Engineering College, Tirunelveli, India., M.A* Raja , M Sophia ,   Research Scholar at Anna University Chennai, India.
Published: December 2019

Nowadays the use of gypsum plaster has gained momentum due to their economic and eco-friendly nature. The objective of this work was to study the influence of expansive agent such as CaO and MgO on the properties of the gypsum plaster. The effect of expansive agent on the physical, mechanical, water absorption and porosity were analyzed. The dimensional stability of the plaster with various percentages of Cao and MgO were also evaluated. From the results obtained it was confirmed that the addition of expansive agent increased the stability of the gypsum plaster to dimensional variation both during early hydration periods and also at hardened state without affecting the strength of the plaster.
Modeling and Simulation of Disturb and Detect Maximum Power Point Tracking Algorithm for Standalone Solar System
Authors:   Electrical Engineering Department, Al-Azhar University, Cairo, Egypt., Refky* Amr , El-Halim Hamdy Abd ,   Electrical Engineering Department, Al-Azhar University, Cairo, Egypt.
Published: December 2019

Modeling and simulation of photovoltaic (PV) module is presented in this work using Matlab/Simulink environment. The simulated PV array model will consider the temperature and irradiance as variable parameters inputs and I-V, P-V characteristics as outputs. Algorithms designed in this paper to achieve the maximum power point (MPP) at all time. DC-DC boost converter has been calculated and designed in this work. Analysis and study of the PV system and MPPT performance with variable parameters under transient conditions.
Social Media Use (SMU) for Teaching and Learning in Saudi Arabia
Authors:   Faculty of Education, Education Technology Department, King Faisal University, Alahsa 31982, Saudi Arabia, Alyoussef* Ibrahim Youssef , Alamri Mahdi M ,   Faculty of Education, Education Technology Department, King Faisal University, Alahsa 31982, Saudi Arabia, Al-Rahmi Waleed Mugahed ,   Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia
Published: December 2019

This research aims to explore the factors of teaching and learning measurement through using social media, incorporating the literature of social media adoption on resource sharing, collaborating and communicating for educational purpose. The current research explore factors that perceived usefulness (PU), perceived ease of use (PEU), attitude toward use social media use have certain influence on adoption of resource sharing, collaboration and communication for educational use. Therefore, resource sharing, collaboration and communication influence educational use, while educational use influences PU, PEU, SMU and attitude toward the use (AT) of SMU for teaching and learning. Both the processes of collecting and analyzing the data followed the quantitative method. The main tool of data collection was a questionnaire that has been distributed among 236 students using stratified random sampling technique. The view of the students and their implication of social media use for teaching and learning were solicited through the questionnaire. The Statistical Package for the Social Sciences (SPSS) was used as the main tool in the process of data examination. The results of this research were related to two main constructs: teaching and learning as well as educational use. According to the results, it appears that perceived usefulness, perceived ease of use, attitude toward use, and social media are considered powerful determinants of the former while resource sharing, collaboration and communication were significant indicators of the latter. Educational use, PU, PEU, AT succeeded in explaining 74.9% of SMU for teaching and learning.
Endoscopy Modified Fully Convolutional Neural Network for CA Design
Authors:   Research Scholar, ECE KLEF, Guntur, AP, India, Rao* E. Srinivasa , Prasad Dr. Ch. Raghava ,   Associate Professor, ECE Dept KLEF, Guntur, AP, India.
Published: December 2019

In this research, we suggest a novel Fully/Convolutional/Neural/Network/(F-C-N) engineering meaning to help the identification of variations from the norm, for example, polyps, ulcers, also blood, in gastrointestinal (G/I) endoscopy pictures. The projected engineering, termed Look-Behind/MFCN/(LB-MFCN), is fit for removing multi-scale picture includes through utilizing squares of similar convolutional coatings with various channel sizes. These squares are associated through Look-Behind (LB) associations, so the highlights they produce remain joined through highlights removed since behind layers, accordingly protecting the particular data. Besides, it has fewer open, limitations than regular Convolutional/Neural/Network-(C/N/N) structures, which creates it reasonable on behalf of preparing through littler datasets. This is especially valuable in restorative picture examination subsequently information accessibility is generally restricted payable to ethicolegal limitations. The presentation of LB-MFCN is assessed on together adaptable also remote case endoscopy datasets, arriving at 99.82% as well as 95.50%, as far as Area Beneath accepting working Characteristic individually.
An Efficient and Effective Forest Surveillance System to Prevent Malicious Activities using LoRa
Authors:   Department of Information Technology, Easwari Engineering College, Chennai, India,, B *Chandra. , Kiruthika S. Usha ,   Departmant of Computer Science and engineering, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, India,, Kumar.S Dinesh ,   Department of Information Technology,Easwari Engineering College,Chennai, India, S Anish. ,   Department of Information, Technology,Easwari Engineering College,Chennai, India, E Kabilesh. ,   Department of Information Technology, Easwari Engineering College, Chennai, India
Published: December 2019

Smuggling of most valuable trees, like sandalwood in a forest, represents great damage to environment assets. It causes critical financial harm and at last, has a significant obliterating impact on the condition everywhere throughout the world. Fire is yet another reason that destroys the forest. Creatures are losing their natural habitat in this manner causing an absolute lose in nature. This paper proposes an IOT based forest surveillance system which employs the benefits of LoRa technology to detect theft of trees in forest by recognizing the sound produced by certain equipments while cutting the trees. And this paper also proposes the use of gas and temperature sensors to calculate the temperature, humidity, carbon monoxide to predict the forest fire well in advance.PIR sensor is used to find the motion of human beings around the forest and protect the device from the animals. The information is transmitted by the Lora technique. The inserted framework engineering and the equipment/programming plans are explained in detail. The exploration results demonstrate that Lora innovation had a decent transmission impact among forest.
Appropriate Green Materials for Affordable Building Construction in Nigeria
Authors:   Department of Quantity Surveying, Federal Polytechnic Offa. Kwara State, Nigeria., Adeniyi* Shogo Musbau , Mohamed Sarajul Fikri ,   Department of Quantity Surveying, Universiti Tecknologi Malaysia., Ademola Moronfoye Sikiru ,   Department of Quantity Surveying, Federal Polytechnic Offa. Kwara State, Nigeria.
Published: December 2019

There are severe issues for the deficiency of affordable house for low-income earners in developing countries such as Nigeria. The high cost of conventional materials has been established to be one the major factors that heightened the cost of building in recent times. However the integration of green building materials that are relevant and sustainable for building construction in the present dispensation will provide excellent solutions to overcome high price of construction. The study was carried out on all the available green materials in north-central Nigeria. Surveyed instrument was prepared and distributed to building professional experts that are registered member of various professional bodies in the building sector. Four hundred questionnaires were distributed in the north-central zone. Three hundred five questionnaires that were filled correctly was used for the data analyses. Analysis of moments (AMOS) software through the structural equation model (SEM) was used to analysis and generated a model for the study. The result discloses that earth bricks, stone/rocks, timber, Bamboo, thatches, straw fibre, and rice husk are very relevant green materials that can be used to achieve affordable building construction. Therefore, the use and integration of green materials in building construction will produce low cost housing units
Image Completion using Deep Convolutional Generative Adversarial Networks
Authors:   Department of Information Technology, Easwari Engineering College, Ramapuram Campus, Chennai., C* Priyadharshini , Kiruthika Dr.S. Usha ,   SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. Tamil Nadu, India.
Published: December 2019

Deep learning recently became the state-of-the-art in many pattern recognition tasks. Advance-ment of computational power and big datasets brings opportunity to use deep learning methods for image processing. We have used deep convolutional generative adversarial networks (DCGAN) to do various image processing tasks such as deconvolution , denoising and super-resolution. With DCGAN we can use a single architecture to perform different image processing tasks . While the results sometimes shows slightly lower PSNR for DCGAN compared to traditional methods but it tries to achieve competitive psnr scores. Thus , it allows to view quite appealing then other methods While it can learn from big data-sets very efficiently and allows itself to add high-frequency details automatically which traditional methods can’t. The architectgure in DCGAN is based on two neural networks of generator and discriminator which both tries to deceive each other and allows it to generate more appealing and realistic images from the datasets.
The Improvement of Employees’ Performance in South Sulawesi, Indonesia
Authors:   Universitas Negeri Makassar, Makassar, Indonesia, Rakib* Muhammad , Zainal Henni ,   Universitas Indonesia Timur, Makassar, Indonesia., Farwita Syurwana ,   Universitas Indonesia Timur, Makassar, Indonesia, Yusriadi Yusriadi ,   Sekolah Tinggi Ilmu Hukum Pengayoman, Makassar, Indonesia
Published: December 2019

The era of globalization has a significant impact on the business world. Globalization raises intense competition among companies to achieve company goals. To improve the employees’ performance, the game, innovation, and creativity of leaders and employees are needed. The purpose of this study is to provide an overview of the improvement of employees’ performance at the Sipatuo Company in Baranti District, Sidenreng Rappang Regency, South Sulawesi. This research is quantitative research aims to know the relationship between the employees’ performance and its indicators. This variable measurement used in the instrument in the form of a questionnaire with an ordinal scale on each item in question. The result showed that the employee’s performance at Sipatuo Company in Baranti District, Sidenreng Rappang Regency was in a reasonably high category. This seen from the employee's work quality, the quantity of work that can be done by the employees, although sometimes the employees need some time to complete their work, the needs of employees for supervision and assistance from other employees, and good relationships established between employees. This research implies that the leaders become pay attention to the employees’ performance and improve their work outcomes.
Automatic Source Code Summarization using Semantics and Stereotypes
Authors:   Department of Information Technology, R.M.K.Engineering College, Chennai, India., babu K* Chitti , T Sethukarasi. ,   department of Computer Science and Engineering, R.M.K Engineering College, Chennai, India.
Published: December 2019

In Software industries developers and testers spend most of the time in code maintainability than in developing or testing the code. Even after spending lot of time in analyzing the code the final analysis will serve only 50% of their purpose. The analysis involves many complex tasks like code comprehension, code extensibility and code portability. The traditional approach is to analyze the code manually, which is a tedious and time consuming task. Existing techniques does not provide the required summary, most of them are complex and they are not in natural language format. In this paper we propose a novel summarization technique that summarizes the source code similar to natural language text. The proposed system provides summary is based on the semantic content in the source code, in case the source code does not contain semantic contents it uses the java stereotypes to get the semantic content. The proposed system delivers the summaries which simplifies the task of the developer and provides the required summary.
Hand Gesture Robot Car using ADXL 335
Authors:   Assistant Professor, SRM Institute of Science & Technology, Ramapuram, Tamilnadu, Chennai, Chandraleka* T. , R Blasubramaniam ,   B.Tech Student, SRM Institute of Science & Technology, Ramapuram, Tamilnadu, Chennai, S Balasubramanian ,   B.Tech Student, SRM Institute of Science & Technology, Ramapuram, Tamilnadu, Chennai, S Karthikeyan ,   B.Tech Student, SRM Institute of Science & Technology, Ramapuram, Tamilnadu, Chennai, Jayaraj Mr. R. ,   Assistant Professor, SRM Institute of Science & Technology, Ramapuram, Tamilnadu, Chennai
Published: December 2019

In today’s world gesture recognition technologies are much newer. Hand gesture recognition is well known done using glove based technique. In our project the vehicle that can be controlled by hand gestures. The gesture controlled robot car is now we controlled by our hand sign and not in our older days controlled using buttons. The controller just they need to wear some small transmission sensor in his hand which acts as accelerometer and at end it receives signals using RF receiver sensor in the car. We refer this idea in some previous projects and we implement some extra features in our project. We uses different sensor to implement better. In previous cases there are some transmission problems but in this we alter the transmission phase and we also fixed extra antenna to transmit extra range of signals. The microcontrollers controls the movement of the robot in the same direction as our hand moves.
Hardy on Polanowska-Sygulska on Hardy on Berlin on Pluralism and Religion
Authors: Hardy Henry
Published: December 2019

Henry Hardy responds to various minor points in Beata Polanowska-Sygulska’s review of his book In Search of Isaiah Berlin, and argues that she provides no good reason to resist his claim that Isaiah Berlin’s value pluralism is inconsistent with mainstream forms of religious belief.
Dimensions of Legal Ethics in the Light of Paul Ricoeur’s ‘Petite Éthique’
Authors: Pieniążek Marcin
Published: December 2019

The article investigates the multidimensional phenomenon of legal ethics, whose complexity justifies looking for adequate tools for its systematization in philosophy. An attempt is made to characterize a number of aspects of legal ethics in the perspective of Paul Ricoeur’s “little ethics” (French: la petite éthique). The concept makes it possible to order the reflection on the phenomenon of ethics in, among others, the teleological and deontological dimensions, as well as in the intrapersonal (i.e. within a person), interpersonal, and institutional (corporate) dimensions. The article also refers to the question of the textual dimension of legal ethics, including the co-conditioning of the substance of the codes of ethics and the personal “text of action” of a barrister, legal advisor, etc. This provides context for discussing the question of the dialectic of the prescriptive and descriptive aspects of codes of ethics on the basis of Ricoeur’s narratological considerations against a broader background of the dispute between cognitivism and noncognitivism.
The Culture of Justification and Public Reason: Comments on the Motion of Members of the Polish Parliament to the Constitutional Tribunal
Authors: Smolak Marek
Published: December 2019

The aim of the paper is to demonstrate how the culture of justification and the public reason can serve as legitimacy device in legal justifications. The idea of the culture of justification, proposed by David Dyzenhaus, makes an interesting contribution to the discussion on how to make headway with the problem of determining the limits of public authority. Applying Ron den Otter’ test of a reasonable sceptic, the author argues that the culture of justification becomes a good political and moral tool for limiting the exercise of public authority, if such a culture is understood and explained in light of the idea of public reason.
Legal Positivism Social Source Thesis and Metaphysical Grounding: Employing Metaphysical Grounding based on Metaphysical Laws
Authors: Mazurkiewicz Szymon
Published: December 2019

The core of legal positivism is the so-called social source thesis, which claims that legal facts are determined only by social facts. I examine an interpretation of this thesis that uses metaphysical grounding as an exact relation between legal facts and social facts. I argue that the current interpretation of the social source thesis in terms of metaphysical grounding has significant drawbacks that stem from it being based on the view that metaphysical grounding is a primitive relation. For that reason, the current interpretation is unintelligible and poses problems with explaining the normativity of legal facts. I present two other views on metaphysical grounding: that it holds due to essences of facts and that it holds due to metaphysical laws. I apply the notion that metaphysical grounding holds due to metaphysical laws and argue that in the case of grounding of legal facts in social facts, this metaphysical law is constituted by instrumental rationality. It provides intelligibility to this grounding relation, is able to explain the normative character of legal facts, and is compatible with the general form of explanation.
Judges’ Virtues and Vices: Outline of a Research Agenda for Legal Theory
Authors: Widłak Tomasz
Published: December 2019

This article focuses on the issue of applicability of virtue theory to legal theory in civil-law (statutory) jurisdictions and suggests research areas and problems in that respect. The author starts with an assumption that the notion of “virtue” and virtue ethics should be used for the purposes of legal theory starting from references to judicial ethics and normative theory of judicial decision-making. This approach looks especially promising for the purpose of systematizing the chaotic moral language that is being currently used in Poland in reference to judges, their skills, and qualities of their character, which in turn may lead to formulating an explanatory and normative theory of the judicial role that better addresses the observable deficiencies of legal deontology. The author suggests research that could proceed from interpretatively uncovering what are believed to be specific judicial virtues and vices, considering different aspects of the wider Polish and European legal culture of civil law countries (included but not limited to legal and ethical standards, public discourse, legal and other literature, historical and fictional examples, and role models). With respect to judicial ethics, existing virtue theories, including non-eudaimonistic ones, may be examined for the purpose of identifying the model of virtue best suited to the particular nature of the judicial profession. The aretaic (rather than deontological or consequentialist) perspective may enable legal scholarship to take a new path in the debate on the status and qualities of the judiciary, including the problems relating to judicial independence and the selection of candidates for judicial offices.