bluuebunny/crossref_metadata_2025 huggingface dataset:
Forming the Immovable Property Taxation System for Individuals
Authors:   Financial University under the Government of the Russian Federation (Financial University), 49 Leningradsky Prospekt, Moscow, 125993, GSP-3, Russia., Igonin* Vasiliy , Bondarenko Natalia Grigorievna ,   Department of history and philosophy of law of the Institute of Service, Tourism and Design (branch) FGAOU VPO “North-Caucasus Federal University” in Pyatigorsk, 56 Sorok let Oktyabrya Ave., Pyatigorsk, Russia, Shebzuhova Tatiana Alexandrovna ,   Institute of Service, Tourism and Design (branch) FGAOU VPO “North-Caucasian Federal University” in Pyatigorsk, 56 Sorok let Oktyabrya Ave., Pyatigorsk, Russia, Bokareva Elena Vladimirovna ,   Graduate School of Business, Management and Law, Russian State University of Tourism and Services Studies (RSUTS), Moscow, Russia, Allalyev Ruslan Muradovich ,   Plekhanov Russian University of Economics, Moscow, Russia, Akhyadov Elman Said-Mokhmadovich ,   Chechen State University, 33 Kievskaya ul., Grozny, Chechen Republic, Russia
Published: December 2019

The goal of the article is to consider and deepen the theoretical methodological foundations of the immovable property taxation for individuals. The following research methods were applied to achieve the goal: systemic method, abstraction method, and logical generalization method. The theoretical approaches to the taxation of immovable property have been used in the article, and the principles of forming the immovable property taxation system for individuals have been defined. Property taxation systems have been systematized based on the analysis of scientific literature and an expert survey, according to the following criteria: aggregate cost taxation, inheritance and gift taxation, capital gains taxation, and taxation of certain property types. The global property taxation systems have been summarized and classified according to the method for the tax base definition method, their advantages and disadvantages have been noted. The international experience of immovable property taxation based on the market, rental, cadastral, regulatory value, and property area has been considered.
Smart Turmeric Harvester
Authors:   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India, Sathesh* S , Maheswaran S ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Gokulapriya M ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Abinesh P ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Amutha A ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India.
Published: December 2019

Turmeric is a very important spice in India, which produces nearly the world’s crop and uses 80% of it. Harvesting is the process of gathering ripened crops from the field. The general practice of harvesting is to dig out the rhizome manually with the help of hand tools. This type of harvesting causes damage to rhizomes. It is a difficult task for the farmers to get the required labor force during the harvesting season. Delay in the harvesting process results loss in the yield and also the quality of rhizomes is affected adversely. So, it is necessitate the need to develop a suitable mechanical harvester for turmeric, which helps farmer to harvest turmeric with minimum losses within a specific time by reducing the human effort as compared to manual effort. This machine consists of digging blade, wheel, motor and blade driving unit. The machine starts moving as soon as the device is powered up. This harvesting technique leads to the development of mini tractor in order to reduce the efforts of human beings and also it increases the digging efficiency.
Loosening Wool Machines
Authors:   PhD student of Bukhara Engineering – Technological Institute, Bukhara city, K. Murtazaev street, Furkat* Ismoyilov , Sherkul Khakimov ,   Professor, Department of Technological machines and equipment, Tashkent institute of textile and light Industry, Tashkent city, shohjahon steet, Margarita Khodjayeva ,   Assistant Professor, Departament of Tehnological machines and equipment Tashkent institute of textile and ligt Industri Tashkent city shohjahon steet
Published: December 2019

This article provides information about the technology of primary processing of wool and the feeding part of the baking machine. It analyzes the operating principle and types of baking machines at the enterprise of primary processing of wool. The disadvantages of baking machines affecting the product are considered. The principle of work and the design of new baking machines for the manufacture of quality products are proposed. The article provides information about the technology of primary processing of wool. Studied the mechanisms of machines for the production of wool and identified their design flaws. The designs and sizes of the pegs of the peg drum are analyzed. The designs of the loosening machines used in the loosening process were studied. The types and principles of baking machines working at the enterprises of primary processing of wool are analyzed. The technical characteristics of the machines are given. The negative aspects of the details of the mechanical impact on the product are noted. Defects of baking machines and their effect on the product are explained. The design and operational principle of a new spraying machine for the preparation of high-quality products is proposed. The proposed characteristics of the machine have high performance, structural design, impact on the product, low energy consumption, energy efficiency and effective loosening. In this machine, the optimal version of parts that have a positive effect on the natural characteristics of the product is selected.
Design, Implementation and Detection of Hardware Trojans in Sequential systems
Authors:   Dept. of ECE, Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, chennai, India., Hema* Dr.L.K. , Murty Dr. S.A.V. Satya ,   Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, chennai, India., Sugumaran Dr. Vijayan ,   Department of Decision and Information Sciences School of Business Administration Oakland University, Rochester
Published: December 2019

For decades, digital systems have been designed based on assumptions that the underlying hardware, though not perfectly reliable, is free of malicious elements. The demand for IC’s is greatly increasing due to tremendous technological development. Without appropriate resources the companies are hard pressed to produce trusted IC’s. This is driving the companies into the ‘fabless’ trend predominant in semi-conductor industry, where the companies are depending on cheaper foundries for the IC fabrication instead of depending on their own resources. This growth brings with it a big rise in threat level in terms of Hardware Trojans that hits the manufacturing companies which make use of Integrated Circuits. This transcends many industries, including strategic organizations and telecommunication companies, mobile phones and computers, embedded systems used in domestic applications and health care equipment. These adversarial inclusions are generally triggered to do malicious modifications in the end user system by the intruder, which is difficult to detect in their quiescent state. This paper focuses on understanding Hardware Trojans, their implications and detection methodologies. It is extremely important for all industries and more so for defense organizations, who are involved in developing systems to protect the nation’s boundaries.
Impact of Knowledge Sharing on the Relationship between Technological Factors and Supply Chain Performance
Authors:   Department of Management Information System, Irbid National University, Irbid, Jordan, Zawaideh* Farah
Published: December 2019

This study is an attempt to resolve the issue the mediating role of knowledge sharing on supply chain performance (SCP), by considering different technological factors, in the context of SMEs in Jordan. The study specifically examined the relationship between technological factors and SCP, with the mediating role of knowledge sharing among the SMEs. The study adopted a self-administered questionnaire as a data collection technique, with which data were gathered from 371 supply chain members of various SMEs in the Jordanian industries. Data was then exposed to analysis using AMOS and SEM. The obtained findings showed support for the formulated hypothesis, in that the findings indicated the mediating role of knowledge sharing on the technological factors-SCP relationship at the significance level of 1%. The findings also showed that IT infrastructure and social media usage (technological factors) had no direct significant relationship with SCP but the technological factors had a significant positive relationship with knowledge sharing at the significance level of 1%.
Salinity Level Indicator using IoT
Authors:   year,BTech CSE, SRM Institute of Science and Technology Ramapuram,Chennai., R.R* Trisul , R Sathya ,   Assistant Professor,BTech CSE, SRM Institute of Science and Technology Ramapuram,Chennai.
Published: December 2019

In recent years the groundwater has been contaminated with a lot of unwanted salts.So people started using purifiers which purifies the water which is sent to the water tank by using REVERSE OSMOSIS method.Reverse osmosis is a method in which a membrane will be present in the filter which will remove the unwanted salts present and reduce the hardness of water.This project is to check the level of TDS (using SENSORS) in the water which is going into the water tank and notify the resident with the level of TDS.If the level of TDS increases more than the normal level then the resident will be getting a notification on his or her mobile to change the filter which is being used in the water purifier.Till the filter in the water purifier is changed chlorine will be poured according to the pH level of the water present in the tank.The pH LEVEL is checked using the pH sensor. This entire process is done by using ARDUINO or Raspberry pi3.
Surveillance Camera using Face Recognition for Automatic Attendance Feeder and Energy Conservation in Classroom
Authors:   School of CSE, VIT University, Vellore, India, Kaliappan Jayakumar , Kumar R. Lokesh ,   School of CSE, VIT University, Vellore, India, Prasanth Narayanan ,   School of CSE, VIT University, Vellore, India, Shreyansh Jain ,   School of CSE, VIT University, Vellore, India
Published: December 2019

This works gives solution to two most important problems in the universities by equipping a surveillance camera with Artificial Intelligence (AI) technology. The first problem solved is unnecessary time wastage in manual and bio-metric (fingerprint based) attendance marking for students. The second problem solved is the unnecessary electricity wastage in classrooms without occupants. Using the videos getting recorded in surveillance cameras, the number of heads detection and face recognition is done. When there is no occupants in the class, the number of heads detected will be zero. So we can cut-off the electricity supply for that classroom. With the face recognition process the attendance for the students will be get automatically marked. The Intel movidius stick does the work of face recognition and finding the head counts.
Machine Learning Based Suspicion of Customer Detention in Banking with Diverse Solver Neighbors and Kernels
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 , Saharia Jyotikinkar ,   Third 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 Shubham ,   Third Year B. Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Chansoriya Aayushi ,   Third Year B. Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Yadav Prashant ,   Second 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

In the current moving technological business sector, the amount spent for attaching the new customer is highly expensive and time consuming process than adopting some methods to hold and retain the existing customers. So the business sector is in need to make a research on with holding the existing customers by using the current technology. The methods to make the retention of the existing customers with high reliablility are a challenging task. With this view, we focus on predicting the customer churn for the banking application. This paper uses the customer churn bank modeling data set extracted from UCI Machine Learning Repository. The anaconda Navigator IDE along with Spyder is used for implementing the Python code. Our contribution is folded is folded in three ways. First, the data preprocessing is done and the relationship between the attributes are identified. Second, the data set is reduced with the principal component analysis to form the 2 component feature reduced dataset. Third, the raw dataset and 2 component PCA reduced dataset is fitted to various solvers of logistic regression classifiers and the performance is analyzed with the confusion matrix. Fourth, the raw dataset and 2 component PCA reduced dataset is fitted to various neighboring algorithms of K-Nearest Neighbors classifiers and the performance is analyzed with the confusion matrix. Fifth, the raw dataset and 2 component PCA reduced dataset is fitted to various kernels of Support Vector Machine classifiers and the performance is analyzed with the confusion matrix. The implementation is carried out with python code using Anaconda Navigator. Experimental results shows that, the rbf kernel of Support vector machine classifier is effective with the accuracy of 85.8% before applying PCA and accuracy of 80.9% after applying PCA compared to other classifiers.
Eye Gaze Controlled Virtual Keyboard
Authors:   Department of CSE, Comilla University, Cumilla - 3506, Bangladesh., Chakraborty Partha , Roy Dipa ,   Department of CSE, Comilla University, Cumilla - 3506, Bangladesh., Rahman Md. Zahidur ,   Department of CSE, Comilla University, Cumilla - 3506, Bangladesh, Rahman Saifur ,   Department of CSE, Comilla University, Cumilla-3506, Bangladesh.
Published: December 2019

Human Computer Interaction is an emerging technology which refers to a vast number of algorithms and different types of techniques to enhance the interaction process. Eye gaze technology is one of the most significant techniques of modern science and can be used in many areas like security, typing, information tracking etc. The need of the system for physically disable people motivated many researchers to develop systems which can be used only using the eye gaze and blinking. In this paper, we are going to represent the development of a virtual keyboard which work by detecting eye gaze and eye blinking. It involves building a system that capture video directly from PC camera and detects human face, eyes. To detect face accurately we will follow a simple rule as the eyes and lips are always in the sample place as image, which will make the eye detection process much easier. To do this we are going to use an approach that involves the 68 points of face which is specific and must exist in every face as- the eye area, top of the chin, eyebrow, nose, outside edge of face etc. It also detect eye gaze as left, right to select keyboard portion and eye blinking to select the desired key from the virtual keyboard on the board. The goal of this system is to type without using finger or hands. Such types of application are really important and blessings for those people who completely lost the control of their limbs. The methodology is described including flow-charts for each stage of the system and then implementation results has described.
Cloud Based Television System using Virtual Machine
Authors:   Assistant Professor, SRM Institute of Science and Technology, Chennai., Fiorenza. J* Caroline El , P Ishitha ,   UG Scholar, SRM Institute of Science and Technology, Chennai., Raghavan Karunya ,   SRM Institute of Science and Technology, Chennai
Published: December 2019

Cloud computing is a technology where a large amount of data of any format can be stored. Existing cloud television systems uses the user’s hardware such as graphics cards to render the videos. This makes the users with a low- grade graphics card difficult to render high quality videos which makes it difficult to watch videos of their required quality. The main aim in the paper is to use cloud computing in the field of television and to overcome the hardware usage of the user. This means that, without using the user’s graphics card the user can view the video in the required quality. For this the required video is rendered by the admin using virtual machines created by the admin to stream the video in that virtual machine and then render that video to the user. This method makes sure that the users graphics card is not used and this method works when the user has a good display unit. Video of any quality can be played by the low-grade user, once when the virtual machine is created. Therefore, after the virtual machine is created this problem of not being able to play the video in the required quality will be resolved. An internet connection is required to stream the video by the user. Using internet connection, the user can access both the admin site and also the virtual machine provided by the admin. Now the video can be played without buffering, and also without popping an error claiming that the video is not compatible.
Optimization of Well Sidetrack under Uncertainty using Response Surface and Decision Support. I. Primary Recovery Mechanism
Authors:   Petroleum Engineering, PhD Student, CEFOR-ACE, World-Bank University of Port-Harcourt, Nigeria., Mumuni* Abisoye M. , Ikiensikimama Sunday ,   Associate Professor, Department of Petroleum & Gas Engineering. University of Port-harcourt, Nigeria, Orodu Oyinkepreye ,   Professor, Head of Department, Petroleum Engineering, Covenant University, Nigeria
Published: December 2019

The Optimal sidetrack time (tR-OPT) has been estimated for uncertainty of the probability of success (POS) of the sidetrack operation, reservoir properties and economics for a reservoir under primary recovery mechanism. The case studies worked on in literature considered in this study are for those for primary recovery in which production profiles were represented by empirical and analytical models. However, not all recovery can be adequately replicated by these analytical models. Hence, the need to apply proxy models not just to predict cumulative production but net-present-value (NPV). In this study the analysis of a decision tree with several branches is carried out to maximize NPV that is evaluated under the influence of production stoppage due to the sidetrack into another non-communicating upper zone with uncertainty of reservoir properties. The optimal sidetrack time adds a severe non-linearity in the response of the resulting proxy model and expected monetary value (EMV), the objective function. Multi -objective functions of proxy models over time-intervals for highly time impacted terminal branches, known as split design was applied to evaluate when to conduct a well sidetrack operation under risk and uncertainty in order to resolve severe non-linearity of the NPV solved by a standard optimization algorithm in a spreadsheet. The Predicted values of optimal sidetrack time by the developed workflow was relatively reasonable and highly satisfactory in comparison with simulation results and that of empirical and analytical models. Though, further performance improvement is possible, the constraint on computational time for multi-objective optimization must be weighed against the desired result. Monte Carlo implementation on EMV based on uncertainty of reservoir properties and varying POS acknowledges the fact that for favourable POS, that is values approaching 1.0, tR-OPT clustered at early production life with a spike and the later for unfavourable values.
Community Structure Analysis using Fast Louvain Method in Real World Networks
Authors:   SC & SS, Jawaharlal Nehru University, New Delhi, India., Chaudhary* Laxmi , Singh Buddha ,   SC & SS, Jawaharlal Nehru University, New Delhi, India., Meena Neeru ,   SC & SS, Jawaharlal Nehru University, New Delhi, India.
Published: December 2019

Recently, in complex networks detection of Community structure has gained so much attention. It adds a lot of value to social, biological and communication networks. The community structure is a convoluted framework thus analyzing it helps in deep visualization and a better understanding of complex networks. Moreover, it also helps in finding hidden patterns, predicting link in various types of networks, recommending a product to name a few. In this context, this paper proposes an agglomerative greedy method, referred to as Fast Louvain Method (FLM), based on Jaccard cosine shared metric (JCSM) to deal with the issues of community structure detection. Specifically, Jaccard cosine shared metric (JCSM) is developed to find the similarity between the nodes in a network. We have utilized modularity quality function for assessing community quality considering the local changes in this network. We test the method performance in different real-world network datasets i.e. collaboration networks, communication networks, online social networks, as well as another miscellaneous networks. The results also determined the computation time for unveiling the communities. This proposed method gave an improved output of modularity, community goodness, along with computation time for detecting communities’ number as well as community structure. Extensive experimental analysis showed that the method outperforms the existing methods.
Memristive Behavior in Magnetic Elements Separated by Thin Non-Magnetic Spacer Layer
Authors:   Assistant Professor Department of Physics, Ranchi University, Ranchi,India., Singh* Raj Kumar , Ram Narendra Kumar ,   researchscholar Department of Physics, Ranchi University, Ranchi,India., Mamta Kumari ,   Associate Professor Department of Applied Science and Humanities, Cambridge Institute of Technology, Ranchi,India.
Published: December 2019

Memristance due to domain wall displacement following spin polarization of current through two magnetic elements with a thin non-magnetic spacer layer in between has been studied in this paper. A domain wall is a type of spin structure appearing between two magnetic domains. When spin polarized current interacts with the second layer it produces a change of resistance which depends on the relative orientation of the magnetic moments in layers. Analytical simulation results on 10 nm sample size domain wall have been obtained under the impression of magnetic field and spin polarization of current. The non-linear pinched hysteresis loop obtained as currentvoltage characteristics shows linearity at high frequencies.
Hybrid Multi-Focus Image Fusion using Stationary Wavelet Transform and Focus Measures For Visual Sensor Networks
Authors:   Research Scholar, Department of ECE, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, India., Radha* Nainavarapu , Babu Tummala Ranga ,   Department of ECE, RVR & JC College of Engineering, Guntur
Published: December 2019

The Multifocal image fusion objective in visual sensor networks is to combine the multi-focused images of the same scene into a focused fused image with improved reliability and interpretation. However, the existing discrete wavelet-based fusion algorithms lead artifacts into the fused image due to its shift variance. But shift invariance is essential in image fusion during the reconstruction of the fused image without any loss. The Stationary Wavelet Transform is one of the most precious ones, eliminating shift variance caused by the discrete wavelet transform. And also focus measures are essential for the selection of focused objects in multi-focused images in order to get a fused image with every object in focus. Thus the advantages of Stationary wavelet transform and focus measures are considered for fusion in this paper. The proposed fusion method not only produces a focused fused image without artifacts and its performance is also good compared to other fusion methods.
Security System for Visitor Validation at Entrance using Raspberry Pi and Elliptical Curve Digital Signature
Authors:   Research Scholar, Department of Computer Science, Jain University, Bangalore, India, Rajashree* S , R Dr. Sukumar ,   Professor, Department of Electronics and Communication, Jain University, Bangalore, India, P Bhuvankumar ,   Student, Department of Electrical and Electronics Engineering, KSSEM Bangalore
Published: December 2019

This paper proposes the design and development of security system for visitor validation at entrance using Raspberry Pi and Elliptical curve digital signature with WiFi network connectivity. When visitor presses the doorbell switch at entrance it is captured by the GPIO pin of Raspberry Pi. Once Raspberry Pi gets the signal it activates the Raspi camera to capture the image in jpg format. The image gets time stamped. The data in the jpg format is than authenticated using ECDSA (Elliptical Curve Digital Signature Algorithm) process that takes current time as seed to generate private key and required signatures. The authenticated image along with its signature are zipped and sent to the authorized e-mail address. Upon receiving the e-mail notification the image file can be verified by the user in both Windows and Linux operating system that has verification program installed in it to know whether signature matches with the image. The advantage of the system is that the user can verify image from anywhere and anytime and can respond to the situations. The setup uses Raspberry Pi 3, Raspberry Pi Camera and MIRACL software library, along with tactile switch and bread board.
The Influence of Mobile Technology Adoption among Secondary School Teachers using the UTAUT2 Model
Authors:   Universiti Utara Malaysia, Kedah, Malaysia., Omar* Mohd Norakmar , Ismail Siti Noor ,   Universiti Utara Malaysia, Kedah, Malaysia., Kasim Abd Latif ,   Universiti Utara Malaysia, Kedah, Malaysia.
Published: December 2019

Mobile technology (MT) is a mobile device that has become a fixture of gadget enthusiasts, and its use has proliferated around the world in recent years. The situation is becoming more and more popular in the field of education. As a teacher, they are also directly involved in the benefits of MT. Most teachers use MT for personal purposes such as accessing email, communicating through social media and browsing web pages. However, it is difficult to determine the driving force behind the use of MT to improve teaching. Therefore, this study was conducted to identify factors influencing teachers' behavioral intention to use MT (TBIMT) based on the UTAUT2 Model. A total of 422 secondary school teachers in the state of Kedah, Malaysia, were selected as respondents of the study. The findings show that only three components of UTAUT2 influence TBIMT in teaching, namely EE, HM and HT. In conclusion, teachers can manipulate the advantages of MT to create more effective teaching strategies.
Smart Parking Management System using IoT
Authors:   Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India., Krishna* M.Gopi , Narendhar Goli ,   Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India.
Published: December 2019

Today’s world is of Technology, technology is a kind of boon to enabling human lives comfortable as well as swift. The utilization of sensible phones has enormous applications. The IoT(Internet of Things) platform enables to attach physical modules with the net. In consequence, several applications can be carried out. This paper represents proposed system of one of them. There are parking problems in big urban and crowded cities because of unplanned parking, which becomes problem to find parking yards, more time-consuming to park a vehicle. Although ample quantity of analysis works on the event of good parking system exist in literature, but most of them have not addressed the problem of real-time detection of parking lot and automatically generation of hourly basis parking charges. This paper addresses proposed system to solve the problems and bring out better performance by using IOT, GPS (Global Positioning System) to locate nearest parking yard to reduce time consuming, camera for detection of the vehicle number in order to allow vehicle into parking lot, and mobile application to find vacant lot and for advance booking. Moreover, this system avails online payment link for parking charge for calculated amount of parked hours, sends notifications. These all interface with Raspberry pi. Eventually, this system reduces time-consuming and makes easy parking.
Influence of Nanoparticles on the Performance and Emission Characteristics of Diesel Engine Fuelled with Chicken Biodiesel
Authors:   Research Scholar, Dept. of Mechanical Engg., REVA Institute of Technology & Management, Bengaluru, Karnataka, India., Methre* Jaikumar , Godiganur Sharanappa ,   Professor, School of Mechanical Engineering REVA University, Bengaluru, Karnataka, India., Telgane Veerbhadrappa ,   Assistant Professor, School of Mechanical Engineering REVA University, Bengaluru, Karnataka, India.
Published: December 2019

The present experimental study examines the impact of aluminium oxide nanoparticles (ALN) as additives in chicken waste oil biodiesel on a single cylinder diesel engine performance and emission characteristics. Different dosage of ALN was blended with chicken biodiesel (CB) using ultrasonic mixing in 200th by volume of biodiesel. The performance and exhaust emissions were evaluated using 100ppm, 150ppm and 200ppm aluminium oxide nanoparticles dosages blended chicken biodiesel for different brake power at a constant speed of 1500rpm and compared the results with diesel(B0) and 20% by volume of chicken biodiesel (CB20). Increased brake thermal efficiency and reduced brake specific fuel consumption were observed with the addition of aluminium oxide nanoparticles as compared to biodiesel blend and diesel at 3/4th of load. Also, reduced emissions hydrocarbon and carbon monoxide and increased NOX with ALN at full load. Overall, biodiesel with aluminium oxide nanoparticles improved the diesel engine performance and emissions characteristics with a slight increase in NOX.
Heart over Mind? Effect of Perceived CSR on Consumer Buying Behaviour and the Mediating Role of Consumer Emotions
Authors:   Assistant Professor, Institute of Management, CHIRST (Deemed to be University) Delhi NCR, India., Poulose* Jeanne , Sharma Dr Vinod ,   Associate Professor, Institute of Management, CHIRST (Deemed to be University) Delhi NCR, India.
Published: December 2019

Corporate Social Responsibility (CSR) was considered a fad by most business houses and consumers when it started. Today there has been a marginal shift mandated by the CSR law in India. It is now seen as a fee that corporate has to pay to ensure that they comply with the corporate laws. But this ensures that the bare minimum is done. To get organisations to deepen their pockets and more organisations to spend, CSR in itself must appear to be a profitable proposition. This study conducted in the national capital of India shows that consumer perceives CSR in two dimensions- as benefitting the society and benefitting corporate image. This perceived CSR is seen to influence consumer buying behaviour through the mediating influence of consumer emotions.
Detection of Counterfeit Currency using Discrete Wavelet Transform in MATLAB
Authors:   Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Prabakaran* N. , Reddy K. Chetan ,   Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Gopi B. Shiva ,   Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Pranav S.S.M. ,   Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: December 2019

Counterfeit notes are one of the major issue in money transactions. In a growing country like India, it is becoming big problem for the economy. As the advances in printing and scanning technologies are developing, it is very easy for any person to print counterfeit notes with use of latest hardware machines. Identifying counterfeit notes in manual way takes a lot of time and manpower. Hence there is requirement of automation technique using which the counterfeit currency recognition process can be done effectively. Many methods have been proposed and implemented with MATLAB. By using Discrete cosine transform (DCT) algorithm blocks of the image are represented by coefficients of DCT. So, due to the presence of blocking articrafts in DCT, it is a drawback for this method. Hence, We have implemented a counterfeit note detection unit with a different algorithm which uses discrete wavelet transform (DWT) in MATLAB. This paper is another attempt on the same project to give a better solution for counterfeit currency problem.
Multi-Label Classification with PSO based Synthetic Minority Over-Sampling Technique (Psosmote) for Imbalanced Samples
Authors:   Assistant Professor, Department of CT, Dr.N.G.P. Arts and Science College, Coimbatore., Priyadharshini* M. , Pavithira Dr.L. ,   Associate Professor, Department of Computer Applications, CIMAT, Coimbatore.
Published: December 2019

Recently, the learning from unbalanced data has emerged to be a pre-dominant problem in several applications and in that multi label classification is an evolving data mining task, learning from unbalanced multilabel data is being examined. However, the available algorithms-based SMOTE makes use of the same sampling rate for every instance of the minority class. This leads to sub-optimal performance. To deal with this problem, a new Particle Swarm Optimization based SMOTE (PSOSMOTE) algorithm is proposed. The PSOSMOTE algorithm employs diverse sampling rates for multiple minority class instances and gets the fusion of optimal sampling rates and to deal with classification of unbalanced datasets. Then, Bayesian technique is combined with Random forest for multi-label classification (BARF-MLC) is to address the inherent label dependencies among samples such as ML-FOREST classifier, Predictive Clustering Trees (PCT), Hierarchy of Multi Label Classifier (HOMER) by taking the different metrics including precision, recall, F-measure, Accuracy and Error Rate.
Percieved Role Stressors Amongst Students in Higher Education
Authors:   MBA department, MSNM Besant Institute of PG Management Studies, Mangaluru, India, Research Scholar, VTU, Belagavi., Frank* Reema Agnes , Kodikal Dr. Rashmi ,   MBA department, Research guide, Visvesvaraya technological University (VTU), Belagavi, India.
Published: December 2019

Excellence in today’s highly competitive workplace demands more than a thorough knowledge of specialized field. Achieving excellence in this dynamic era needs a comprehensive grounding in all the areas. In this scuffle of achieving excellence, performance pressures and indispensable surge for top positions, individuals and organizations are in a continuous state of tension, resulting in ‘stress’. Education sector is also undergoing a tremendous amount of stress where issues such as student retention and student progression are considered to be crucial for all universities. More-over the pressure mounts even on the students for better performance both in curricular and extracurricular activities which has become the prestige issue for both the institutions and the students. In this regard, this paper tries to throw a light on the stress amongst the students in UG and PG colleges in Mangalore. In this context 216 under graduate and 108 post graduate commerce students were contacted with a survey questionnaire and analysis be done based on the various factors. This paper tries to bring us the factors which are leading to the student’s stress and the suggestions to cope up the stress in order to improve the academic performance.
Design of Bootstrap Sample and Hold Circuit
Authors:   Department of Electronics and Communication, National Institute of Technology, Raipur, Chattisgarh, India., Chunn* Ankush
Published: December 2019

This paper describes the design and implementation of open loop sample and hold circuit using bootstrap technique, which can be used as front end sampling circuit for high speed analog-to-digital converters. Different design criteria viz. speed, power, resolution, linearity, noise and harmonic analysis have been dealt with. Both theoretical analysis and simulation results are carried out. The bootstrap circuit is designed and then compared in a 0.18μm and 0.35μm CMOS process. It is observed that signal to noise and distortion ratio (SNDR) and effective number of bits (ENOB) are higher for 0.35μm technology. But these advantages are at the cost of higher power dissipation. Hence there exists a trade-off between these performance metrics.
Routing Algorithm using Fuzzy Logic Based Clustering with Mobile Sink for Wireless Sensor Network
Authors:   Lecturer in Electronics in Government Polytechnic College, Trikaripur, Kerala, India., K* Vinod , Sharma Dr. Kanika ,   Assistant Professor in Electronics and Communication Department at National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh.
Published: December 2019

Minimization of the energy consumption in Wireless Sensor Network (WSN) is one of the most important area which has been explored by researchers through different methods. The use of non-stationary mobile sink has undoubtedly decreased the energy consumption within the sensor nodes and hence the life time of the system. Applying the Fuzzy Logic could effectively optimize the selection of Cluster Head. In this paper, Fuzzy Logic has been implemented for Cluster Head selection along with a mobile sink. The energy remaining in the sensor node, distance between the sink and the node, and the node degree are considered as the fuzzy inference variables. The life time of the node has been compared with the LEACH and Fuzzy logic based Clustering Combined with Mobile Sink (FCCMS) with mobile sink.
KESALAHAN FONOLOGI PADA PENDERITA AFASIA BROCA PASCASTROKE DALAM TINJAUAN PSIKOLINGUISTIK
Authors: Purnamasari Indri , Ratnawati Indah Ika , Maulida Nurliani
Published: December 2019

Penelitian ini membahas mengenai kesalahan fonologi pada penderita Afasia Broca Pascastroke. Objek penelitian ini dilatarbelakangi oleh kemampuan berbahasa penderita pascastroke yang mengalami gangguan berbahasa (afasia). Penelitian ini bertujuan mendeskripsikan kesalahan fonologi yang muncul terhadap tuturan yang diucapkan. Penelitian ini merupakan penelitian kualitatif, data penelitian ini adalah tuturan, dialog atau percakapan yang mengandung kesalahan fonologinya. Sumber data penelitian ini berupa tuturan, dialog atau percakapan objek penelitian.. Pengumpulan data berupa studi lapangan dengan menggunakan metode simak dengan teknik sadap sebagai teknik dasarnya, pada lanjutan pengumpulan data penelitian menggunakan teknik lanjutan yang terdiri dari simak bebas libat cakap (SBLC), rekam dan catat. Instrumen penelitian dalam penelitian ini adalah peneliti sendiri yang ditunjang dengan catatan lapangan dan kartu data. Teknik yang digunakan dalam pemeriksaan keabsahan data adalah triangulasi teknik dan triangulasi waktu. Data dianalisis dengan menggunakan model analisis data kualitatif menurut Milles dan Huberman meliputi reduksi data, penyajian data, dan kesimpulan. Hasil penelitian diperoleh 2 kesalahan kemampuan berbahasa Indonesia dalam ranah fonologi, yaitu: sulit fonem dan perubahan fonem, baik vokal maupun konsonan pada suatu kata yang diujarkan.
TINDAK TUTUR ILOKUSI PADA CAPTION AKUN ISLAMI DI INSTAGRAM
Authors: Wahyuni Septi Tri , Retnowaty Retnowaty , Ratnawati Indah Ika
Published: December 2019

Tujuan dari penelitian ini adalah untuk mendeskripsikan mengidentifikasi realisasi tindak tutur ilokusi (asertif, direktif, ekspresif, komisif, dan deklarasi) pada caption akun Islami di instagram. Data yang diambil dari akun Islami di instagram menggunakan dua akun Islami dan data diambil dari bulan Januari sampai bulan Juni 2018. Metode penelitian yang digunakan adalah metode deskriptif kualitatif. Langkah-langkah yang dilakukan dalam penelitian ini yaitu dengan mengambil data, kemudian memilah berdasarkan kategori tindak tutur ilokusi. Selanjutnya peneliti mengambil kesimpulan dari hasil analisis tersebut. Hasil analisis dari kategori tindak tutur ilokusi dan fungsi dari tindak tutur ilokusi yaitu terdapat 28 data: a) Bentuk tindak tutur asertif dengan fungsi menyatakan dan menyarankan, b) bentuk tindak tutur direktif dengan fungsi memerintah, memohon, menasehati, dan merekomendasi, c) bentuk tindak tutur ekspresif dengan fungsi berterima kasihm meminta maaf, dan menyalahkan, d) bentuk tindak tutur komisif tidak ditemukan pada caption akun Islami di instagram, e) bentuk tindak tutur deklarasi dengan fungsi berpasrah. Tindak tutur ilokusi yang paling sering didapatkan yaitu kategori asertif menyatakan sebanyak 11 data sedangkan tindak tutur ilokusi yang paling sedikit ditemui yaitu kategori asertif.
Protocolo de adquisición de imágenes diagnósticas por termografía infrarroja
Authors: Ramírez-Arbeláez Lina M. , Jiménez-Díaz Kelly T. , Correa-Castañeda Andrés C. , Giraldo-Restrepo Julián A. , Fandiño-Toro Hermes A.
Published: December 2019

Introducción: en aplicaciones biomédicas, la termografía infrarroja ha permitido visualizar el patrón de distribución de temperatura de la piel y el tejido subyacente, permitiendo diagnosticar problemas vasculares o nerviosos y, particularmente, trastornos en la termorregulación como el fenómeno de Raynaud y la intolerancia al frío. Sin embargo, las publicaciones no detallan el protocolo de adquisición de imágenes ni validan el mismo; factores determinantes para la calidad y relevancia de la información diagnóstica obtenida. Objetivo: diseñar y validar un protocolo de adquisición de imágenes por termografía infrarroja para analizar la termorregulación en la mano. Materiales y métodos: Se diseñó un nuevo protocolo de adquisición de imágenes por termografía infrarroja utilizando un estímulo frío en la mano. Se analizaron estadísticamente regiones de interés de imágenes termográficas de 18 mediciones intrasujeto en un único sujeto y mediciones intersujeto en 17 individuos sanos. Resultados: En las mediciones intrasujeto e intersujeto se encontró que 10 minutos después del estímulo frío el porcentaje de recuperación de la temperatura fue cercano al 100%, excepto en un individuo en el cual, a pesar de no reportar enfermedades o lesiones previas, la punta de los dedos después del estímulo alcanzó apenas los 28 ºC. La prueba de fatiga en uno de los sujetos sanos mostró alteraciones en el proceso de termorregulación de la mano cuando el protocolo se repite en corto tiempo. Conclusiones: luego del cumplimiento de las especificaciones propuestas se obtuvo un protocolo reproducible y confiable para el análisis del proceso de termorregulación de la mano.
Comparación de métodos fenotípicos y moleculares para la detección de resistencia a meticilina en Staphylococcus aureus
Authors: Morales-Parra Gloria I. , García-Cuan Aracely
Published: December 2019

Introducción: la detección de resistencia a meticilina en aislados de Staphylococcus aureus por el laboratorio es difícil debido a la heterogeneidad en la expresión fenotípica en estas bacterias. Objetivos: comparar métodos fenotípicos y moleculares para la detección de resistencia a meticilina en Staphylococcus aureus. Materiales y métodos: se evaluó la resistencia a la meticilina en 50 aislados de Staphylococcus aureus por los métodos de difusión en agar, microdilución en caldo y dilución en agar. Se utilizó la reacción en cadena de la polimerasa para detectar el gen de resistencia mecA como estándar de referencia. Se determinó para cada método la sensibilidad, especificidad, valores predictivos y eficiencia. Resultados: la resistencia a la meticilina se encontró en el 50% (25/50) de los aislados de Staphylococcus aureus por los métodos de difusión en agar, microdilución en caldo (cefoxitina) y dilución en agar, y en el 52% (26/50) por microdilución en caldo (oxacilina). El 42,0% (21/50) de los aislados presentaron el gen mecA. Del total de aislados, 10 (20%) demostraron un fenotipo discrepante al obtenido molecularmente, siete falsamente resistentes y tres falsamente sensibles. La sensibilidad de los métodos fenotípicos varió entre 85,7% y 90,5%, la especificidad entre 75,9% y 79,3%, el valor predictivo positivo entre 72,0% y 76,0%, el valor predictivo negativo entre 88,5% y 92,0% y la eficiencia entre 80,4% y 84,0%. Conclusiones: los resultados demostraron que los métodos fenotípicos son confiables para la detección de resistencia a la meticilina de Staphylococcus aureus.
BENTUK KESANTUNAN BERBAHASA DALAM WACANA DIALOG KETOPRAK SAPTA MANDALA LAKON BABAD ALAS MENTAOK
Authors: Pramujiono Agung
Published: December 2019

This study aimed at describing and explaining the phenomenon of linguistic politeness in dialogue discourse inKetoprak Sapta Mandala of in the play of Babad Alas Mentaok. This phenomenon needs to be studied becausepoliteness in this discourse is unique, particularly in the selection of forms and politenesss trategies. The study used thePoliteness Theory of Brown and Levinson (1987) with ethnopragmatic perspectives. Ethnopragmatics is aninterdisciplinary study of Pragmatics and Ethnographic of Communication. Data were taken from the recording ofKetoprak Sapta Mandala â€œRatu Kidul â€ episode of â€œBabad Alas Mentaok â€ drama series by Fajar which isconverted into a digital format in website of jamansemono.com. It was then analyzed by using descriptive analysis following the interactive model of Miles and Huberman. Based on the analysis of data, it can be concluded thatutterances representing forms of politeness can be broken down into three categories:  declarative (SUBDek),interrogative (SUBInt), and imperative (SUBImp) modes. SUBDek was realized in various forms of speech actsincluding (1) assertive speech acts: notifying and stating; and (2) expressives: thanking, expressing happiness,apologizing, praising, and criticizing. SUBInt was realized indirective speech acts, such as requesting information,confirming, and asking for permission. SUBImp realized indirective speech acts, for instance giving commands,allowing, prohibiting, and inviting. The politeness strategies used in the play discourse include direct strategies; positivepoliteness strategies with sub-strategies (1) giving attention, (2) giving praise, and (3) using a group marker; negativepoliteness strategies with sub-strategies(1) using speech of respect, (2) using indirect speech, and (3) using a variety ofmanners; and off-record/indirect strategies under taken by (1) using narrative strategies and (2) using implied speech.The use of narrative strategies as the indirect strategy constitutes a finding that can be used to complement the indirectsub-strategy proposed by Brown and Levinson (1987).