bluuebunny/crossref_metadata_2025 huggingface dataset:
Intravenous (IV) Monitoring and Refilling S ystem
Authors:   Electronics Engineering Department, Don Honorio Ventura State University, Bacolor, Pampanga., Layson May C.
Published: November 2019

Intravenous (I.V.) Monitoring and Refilling System is a system for monitoring I.V. therapy and notifying abnormal drip rate and refilling of the I.V. bag. The system has a portable receiver device (for the nurse/nurse station) and a transmitter device (for the patient). The study uses Radio Frequency (RF) medium. RF module was used for transmitting and receiving of the current status data of the monitoring and notifying system. The system has also fiber optic sensors for detecting and counting the drip rate of the I.V. bag. The control panel of the system is placed on the transmitter (patient side). The main objective of the monitoring system is to process an accurate I.V. therapy, prevent the possible backflow of the blood by stopping the I.V. set attached to the system. It makes the I.V. therapy setup fast and easy allowing more time for nurses to perform duties other than monitoring the IV therapy of patients assigned to them. System test results show that transmission delay is not evident in closed area and can transmit accurately without delay up to 70 meters. A 100% detection rates were also recorded for different drip rates and percent IV bag content. Comparing the operating frequency of the I.V. monitoring and refilling system to other medical equipment, the RF module used in the system has an operating frequency that is unique among all the technologies and equipment that may be present in a hospital or clinical setting. The system can also cut down the cost of such medical equipment by 72% if compared to the infusion pump available in the market.
Reliability and Validity of Instruments MeasuringIndividual Lifestyle Scale
Authors:   School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia, Sani* Amizatulhawa Mat , Ahmad Norzieiriani ,   School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia, Mokhtar SanySanuri Mohd ,   School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia
Published: November 2019

This paper aims to identify the individual lifestyle measurement (validity and reliability) based on three types of online shoppers’ lifestylefactors; time-oriented lifestyle, price oriented lifestyle and net oriented lifestyle. The selected respondents of this study are online shoppers who have purchased products and services at online shopping website. The data was carried out via mall intercept technique. Result of the study shows that 15 items of online shoppers’ lifestyle scales were grouped into three distinct constructs. This constructs represented three types of online shopper’s lifestyle. Findings of this study will benefit to online sellers in order to develop marketing strategy regarding individuals’ lifestyle factors, especially to those who focusing on the online shopping context.
Handling Imbalanced Class Problem of Measles InfectionRisk Prediction Model
Authors:   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Ahmad* Wan MuhamadTaufik Wan , Ghani Nur Laila Ab ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Drus Sulfeeza Mohd ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: November 2019

Measles is an emerging infectious disease with increasing number of reported cases. It is a vaccine-preventable disease;thus, it is common to have imbalanced class problem in the dataset. This study aims to resolve the imbalanced class problem for the prediction of measles infection risk and to compare the predictive results on a balanced dataset based on three machine learningtechniques. The data that was utilized in this study contained 37,884 records of suspected measles casesthat were highly imbalanced towards negative measles cases. The Synthetic Minority Over-Sampling Technique (SMOTE) was performed to balance thedistribution of the target attribute. The balanced dataset was then modelled using logistic regression, decision tree and Naïve Bayes. The predicted results indicated that logistic regression executed on the balanced dataset by SMOTE has the highest and most accurateclassification with 94.5% overall accuracy, 93.9% true positive rate, 5.8% false positive rate and 5.1% false negative rate. Therefore, SMOTE and other over-sampling approaches may be applicable to overcome imbalanced class issues in the medical dataset.
Performance of Factors Influencing Customers’ Purchase Intention Towards Online SNSs Sellers
Authors:   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, R Ramona. , C Zaihisma. C ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, AB Asmidar. ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, M Abdul Hadi. ,   Universiti Kuala Lumpur Malaysian Institute of Information Technology, 1016 Jalan Sultan Ismail, 50250 Kuala Lumpur, WP Kuala Lumpur.
Published: November 2019

Business on social commerce has become trending due to facilities provided by Social Networking Sites (SNSs). Trust and reputations are the de facto challenges that influence social commerce customers’ purchase intention, an area of research that is sparse in the literature. The objective of this study is to identify different factors that may influence customers’ purchase intention particularly in transactions with online SNSs sellers. The study collected 397 responses collected from the online survey were analyzed using PLS analysis. The study resulted that e-WoM content, the propensity to trust and reputation significantly influence consumers’ intention to purchase a product from online SNSs sellers. The results of this study are expected to advance the purchase intention literature in the context of social commerce and to offer practical guidelines for online SNSs sellers to develop their business.
Crisis Informatics: A Systematic Evaluation
Authors:   Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia (UPM). Department of Mathematical Sciences, Computer Science Unit, Taraba State University Jalingo, Bukar UA , Jabar Marzanah A. ,   Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia (UPM),, Sidi Fatimah ,   Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM)
Published: November 2019

Crisis management and communication are increasingly being challenged by the impact of social media as a forum for crisis communication. Among the many roles that crisis management services embrace, managing outreach information and communication are increasingly important. This study presents a systematic review of articles pertaining to the application of social media to support crisis management. Our review presents that, Situational Crisis Communication Theory (SCCT) is the most dominant theory for crisis communication and twitter is the dominant social network site. Also, the review identifies decision-making, community resilience, privacy issues, information sharing and seeking, social media based crisis communication for future studies.
Ascertaining Factors that Influence the Intention to Adopt Enterprise Architecture Among Malaysian Public Sector Organisations – A Pilot Contemplation
Authors:   Informatics Department, College of Computing and Informatics, Universiti TenagaNasional, Putrajaya, Malaysia, Ahmad* Nor Azizah , Drus Sulfeeza Mohd. ,   Informatics Department, College of Computing and Informatics, Universiti TenagaNasional, Putrajaya, Malaysia, Kasim Hairoladenan ,   Informatics Department, College of Computing and Informatics, Universiti TenagaNasional, Putrajaya, Malaysia
Published: November 2019

Enterprise Architecture provides a holistic view that effectively integrates different domains in business, data, application, and information in organisations. Different notions of Enterprise Architecture (EA) models could be found in the literature which are primarily based on various factors and fragmented perspectives. However, current EA models are more focused on the post-adoption or implementation phase of EA. There is little attention paid on the adoption model of EA. It is also found that the organisational adoption of EA is still missing from technological, organisational, and environmental perspectives. Based on inferences from previous study, very few had attempted to find significant factors using the theoretical approach of Information Systems in the context of EA adoption. Therefore, this research is designed to investigate the factors that influence EA adoption at the organisational level and propose a conceptual model during adoption phase and early phase of the EA cycle. The research method used questionnaires administered to key participants from 23 Malaysian public sector organisations. The findings have shown significant factors influencing the intention to adopt EA. The strength of relationship in coercive pressure was the highest, followed by mimetic pressure. Furthermore, the complexity of EA did not have significant influence on the intention to adopt EA. Therefore, this study has addressed factors from the technological, organisational, and environmental perspectives that could influence the intention to adopt EA among Malaysian public sector organisations. The findings indicate that various pressures were the greatest influence in the adoption of EA.
Mobile AI Analytics System for Improving Educator’s Awareness on Student’s Knowledge
Authors:   College of Computing and Informatics (CCI), Universiti Tenaga Nasional (UNITEN), 43000 Kajang, Selangor, Malaysia, Hussain* Tharik Jakir , Sidhu Manjit Singh ,   Institute of Informatics and Computing in Energy (IICE), UNITEN, 43000 Kajang, Selangor, Malaysia
Published: November 2019

New technologies have provided educators to track and store student’s learning activities in the form of big data sets in online environments. Big data refers to the capability of storing large quantities of data over an extended period and down to particular transactions. Analytics also refers to the scientific process that examines data to formulate conclusions and to present paths to make decisions. In this paper we demonstrate a mobile artificial intelligence (AI) analytics system that acts as learning platform for the students and to introduce the current possibilities in incorporating AI and analytics within the mobile application that can analyze the user’s knowledge in a particular subject by providing a series of questions to the users to be answered. A validation test using pre and post test questionnaires and focus group discussion with student participation in using the mobile AI analytics system has facilitated in improving educator’s awareness on student’s knowledge of the subject matter.
Terminated Students‟ Academic Performance: A Preliminary Assessment
Authors:   College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, B Faridah , M Noreliza A. ,   College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, N Noraini M. ,   College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, R Fadhilah A. ,   College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: November 2019

The College of Engineering in Universiti TenagaNasional aims to continuously achieve higher rate of its engineering graduates. However, the rate of students been terminated from pursuing their studies due to their failure in achieving the academic standard set by the university is a major concern. This paper is a preliminary study on the terminated students’ academic performance. It analyses the correlation between mathematics courses with some other early engineering courses taken by the terminated students and finds that prior qualification relates to the students general success in academics. This study also finds that the trend in the number of terminated students is decreasing over the years of study.
A Performance on Awareness of e-waste Management among University Students
Authors:   Department of Informatics, College of Computing and Informatics, Universiti Tenaga Nasional Jln IKRAM-UNITEN, Selangor, Malaysia, Tukimin Muhammad Hafiz bin Mohd , Anwar Rina Md ,   Department of Informatics, College of Computing and Informatics, Universiti Tenaga Nasional Jln IKRAM-UNITEN, Selangor, Malaysia, Latif Aliza Abdul ,   Department of Informatics, College of Computing and Informatics, Universiti Tenaga Nasional Jln IKRAM-UNITEN, Selangor, Malaysia
Published: November 2019

Electronic waste management is the practice in managing waste generated from electronic appliances, which may involve the recycle, reuse and reduce of the devices. Although there have been initiatives introduced by countries such as Basel convention or Stockholm convention, the issue of e-waste management is increasing globally. Most of the e-waste was contributed by the high usage of mobile phone or tablet, and the demand keep increasing especially among young generation. This necessitates a study on the awareness among young generation, specifically on university students in gauging their awareness level of the impact of e-waste on human and environmental health. A survey has been carried out among students in a private institution in Malaysia to assess their awareness on e-waste management. As a result, students were aware on the concepts but still are unclear on the e-waste management practices in Malaysia. Based on the survey outcome, the university and the students should play a bigger role in understanding and being directly involved in e-waste management.
Challenging the WHO Prescribed Sanitary Inspections for Contamination of Tubewells with Handpump
Authors:   Department of Civil Engineering,, MANIT, Bhopal, India, Kulshrestha* Mukul , Singh Nagendra Prasad ,   Department of Civil Engineering, MANIT, Bhopal, India
Published: November 2019

WHO prescribed sanitary inspections constitute useful monitoring tools, besides being effective and economic in identifying drinking sources of water at risk in terms of contamination. In the present case, the contamination risks in potable waters from Tubewells fitted with handpump were evaluated across 9 districts in India. Field inspections were conducted in WHO prescribed format on Three Hundred Twenty Four sources of potable water used by the community for withdrawing drinking water to evaluate occurrence of contamination risk. The theoretical risk thus assessed was then compared with actual test results of biological testing in the laboratory for assessment of Coliform bacteria using a standard MPN test. The results of the study indicate that WHO format based sanitary survey results are more stringent than reality, and hence overestimate the risk. The results also indicate that the risk categories are mostly distributed with a majority of risk focused in the middle in the High and Medium risk categories.
Data Science Recommendation System using Semantic Technology
Authors:   SCSE, Vellore Institute of Technology, Chennai, India., Shah Vishal , S Dr. Shridevi ,   SCSE, Vellore Institute of Technology, Chennai, India.
Published: November 2019

Data Science is a field in which multidisciplinary blend of data inference, algorithm development, and technology are combined in order to solve analytically complex problems. Data science field tend to focus on a complex and large algorithmic technological problem having data at the core. Students at the starting of the learning phase don’t know all the technological and algorithmic aspects related to data science. Consulting through faculty or knowing from external source helps them to proceed towards the needed expertise that they want to gain. Data science recommendation system using semantic web data-science ontology and service-oriented architecture is proposed in our work to recommend students the appropriate resources for their queries. Recommending student significant information concerning books, on-line documentation, software tools, public code repositories, and experts, tutors to be contacted based on student query or previous exam scores is the main objective of the work. Ontology based service-oriented web platform with a conversational user interface that use NLP (Natural Language Processing) to recommend possible resources is proposed and tested to be efficient
Artificial Bee Colony Optimization Technique Based Speed Control of DC Motor
Authors:   Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, Mandhare V. V. , Vikhe P.S. ,   Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India, Patil M. S. ,   Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India, Kadu C. B. ,   Head, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India
Published: November 2019

This work deals with Fractional Order Proportional-Integral-Derivative (FOPID) based controllers designing using Bio-inspired Artificial Bee Colony (ABC) algorithm. The operating principle of bio-inspired optimization techniques are originated from various biological systems. Thus, ABC algorithm works similar to working principle of bees. In this work, second order system model of a DC motor has been considered for speed control of DC motor. The proposed optimization method can be used for higher order approaches, to provide minimum error with efficient system performance. The aim of this research work is to design and tune parameters of FOPID controller, for effective static and dynamic performance. The automatic controller tunning ability for PID is possible using ABC algorithm and fractional order system provides effective solution set for search output parameters of PID.
Computational Story: Learning Media for Algorithm and Programming Based o n Computational Thinking
Authors:   Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia., Riza* Lala Septem , Handoko Beni ,   Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia., Wihardi Yaya ,   Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia., Herbert  ,   Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia.
Published: November 2019

The subject of algorithm and programming is one of the important knowledge that need to be mastered by students in computer science. To learn it, students are required to have several skills, such as logic, critical thinking, problem solving, etc. Therefore, the purpose of this research is to design and build multimedia applications to support critical thinking, called computational stories, on studying basic programming with a problem-posing model approach by involving cases in everyday life. In this application, students are given some cases in the form of code with the C programming language. Then, students are asked to arrange a correct story line from the choices available. From this research experiment, the results show that this multimedia can improve critical thinking based on comparison of pre-test and post-test results with an average of 32.9 to 72.47. With an average gain value of 0.58 included in the medium category.
Exploring Innovative Design Principles using Innovization in Multi- Objective Optimal Reactive Power Dispatch Problem
Authors:   Department of Electrical Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh India., Shah* Devnath , Chatterjee Saibal ,   Department of Electrical and Electronics Engineering, NIT, Mizoram Aizawl, Mizoram, India.
Published: November 2019

Recently, researchers in the field of Evolutionary Multi-Objective Optimization give a systematic approach for exploring innovative design principles in a conflicting multi-objective optimization problem by analyzing pareto optimal solution using either manual or automated approach. They call it “Innovization” and defined as: “innovation through optimization”. This paper applies manual innovization to multi-objective Optimal Reactive Power Dispatch Problem using Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) as multi-objective optimization algorithm and manually searches for all possible innovative design principles by analyzing multiple pareto optimal solutions. Standard IEEE 30 bus test system is considered for the current work. Simulation results reveal number of innovative design principles. Innovative design principles includes function approximation of relationship between conflicting objectives, characteristics of decision variable with respect to different objectives and actual range of decision variables. Simulation results clearly show much faster convergence when decision variables were obtained using innovative design principles for specified desired objectives as compared to normal case. Results also show some decision variables can be eliminated by setting it to a fixed value, which leads to simplification of optimization problem as the values of these variables remains constant with respect to the values of objective function.
2720 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A9752109119/2019©BEIESP DOI: 10.35940/ijeat.A9752.109119 Journal Website: www.ijeat.org AN Improved Energy Aware Secure Cluster Based Multiple Hop Routing Protocol for Wireless Sensor Network
Authors:   Department of Computer Science, Bharathiyar University, Coimbatore, Tamil Nadu, India., Thilagavathi* V. , Nagadeepa Dr. N. ,   Principal, Karur Vellalar College of Arts and Science for Women, Karur, Tamil Nadu, India,
Published: November 2019

Due to the technological advancement in wireless communication, energy-efficient power supply, and semiconductor technology, the smart sensor becomes popular in many applications. In WSN, the private data collected and processed by the sensor node must be protected from the malicious attack. Due to the resource constraint nature of WSN, the traditional security protocols do not apply to this network as it involves huge and complex computation. Furthermore, the energy supplied by the battery is not renewable. This paper proposes a secure cluster-based multiple-hop routing protocol for prolonging the lifetime of WSN and securing the data in transit and storage. This protocol proposes the matrix transposition cryptographic techniques for securing the sensor data. This protocol compares the energy consumption and throughput of two secure routing protocols.
Insights on Video Compression Strategies using Machine Learning
Authors:   Assistant Professor & Research Scholar, Department of ECE, MITM, Mysuru, Karnataka, India,, K Veena S. , Rao Dr. Mahesh K ,   Professor & HOD, Department of ECE, MITM, Mysuru, Karnataka, India,
Published: November 2019

With the rising advancement of the multimedia technology, video compression is becoming a challenging problem. Although, there is availability of various standard compression algorithms, yet robust compression performance is yet to be seen in existing compression techniques. This paper also highlights that machine learning plays a significant contributory role in improving the performance of the video compression. Therefore, this manuscript offers a technical insight about the performance of existing video compression technique using machine learning approach. The contribution of this paper is its findings which states that machine learning approach do have significant advantage but the advantageous features are limited by the inherent and unsolved research problem. The core findings of this paper are basically to highlight the strength and limitations of existing methods as well as to highlight the research gap in terms of open-end research problems which requires immediate attention.
H-Best Particle Swarm Optimization Based Localization Algorithm for Wireless Sensor Network
Authors:   Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India., kamal Yadevendra , Sharma Dr. Kanika ,   Electronics and Communication Engineering, NITTTR, Chandigarh, India., Vandana  ,   Electronics and Communication Engineering, Panjab University, Chandigarh, India
Published: November 2019

Discussion of the work, which proposed the idea of virtual anchor nodes for the localization of the sensor nodes, with having the movement of single sensor node in the circular movement with being optimized by the HPSO. For the ranging the RSSI model has been proposed in the algorithm. As a reference node, single anchor node has been used for the localization of whole network. As of the random deployment of the sensor nodes (target nodes), when the target nodes fall under the range of the mobile anchor node, the Euclidean distance between the target node and mobile anchor node is being calculated. After the calculation of the Euclidean distance the two anchor nodes are being deployed with a difference of 600angle. Using the directional information the projecting of virtual anchor nodes is done, to which the virtual anchor nodes helps in the calculation of the 2D coordinates. While the calculation the mobile sensor node follow ups the circular path. The mobile sensor node considering at a center of the area marks up distance of its maximum range, and with that distance as a radius its goes for other circular path movement if all sensor nodes don’t fell to its range. With its movement at constant velocity the algorithm runs again and again. The performance of the algorithm are done on the factors of the average localization error and convergence time. The problem as of the LoS, with the virtual anchor nodes have been minimized.
Collaboration of Blockchain and Machine Learning in Healthcare Industry
Authors:   Asst Prof, Dept Of CSE GVP College of Engineering for Women Visakhapatnam., Kumar* Mr B L V Vinay , Kumar Dr K Raja ,   Asst Prof, Dept Of CS&SE, Andhra University Visakhapatnam
Published: November 2019

The purpose of this paper is to explore the applications of blockchain in the healthcare industry. Healthcare sector can become an application domain of blockchain as it can be used to securely store health records and maintain an immutable version of truth. Blockchain technology is originally built on Hyperledger, which is a decentralized platform to enable secure, unambiguous and swift transactions and usage of medical records for various purposes. The paper proposes to use blockchain technology to provide a common and secured platform through which medical data can be accessed by doctors, medical practitioners, pharma and insurance companies. In order to provide secured access to such sensitive data, blockchain ensures that any organization or person can only access data with consent of the patient. The Hyperledger Fabric architecture guarantees that the data is safe and private by permitting the patients to grant multi-level access to their data. Apart from blockchain technology, machine learning can be used in the healthcare sector to understand and analyze patterns and gain insights from data. As blockchain can be used to provide secured and authenticated data, machine learning can be used to analyze the provided data and establish new boundaries by applying various machine learning techniques on such real-time medical data.
Optimization of Ready-To-Drink Beverage and Ready-To-Reconstitute Mix of Ginger Based Appetizer
Authors:   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu,, Stephen *S Elizabeth Amudhini , Renita Emilin ,   Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, V George Samuel Raj ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Joseph Basil ,   Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore
Published: November 2019

Ginger is outstanding for its therapeutic property and curd is expended for its probiotics properties. Utilizing these two fixings a hors d'oeuvre drink has been created and this item is advanced utilizing Response Surface Methodology. It gives 77 kCal per serving of 100ml when the hors d'oeuvre blends with virus water. For making dry starter crisp curd is supplanted by curd powder. The item as a rule has a timeframe of realistic usability of a half year in encompassing condition. Utilizing the Response surface approach advancement of this canapé demonstrates a most extreme causticity score of 2.38 % for ginger powder (2g-4g) , asafetida powder (200g - 500g) , salt (1g-2g) utilizing RSM(Box-Benhken strategy). In a comparable report, the worthiness score of the beverage is 7.0 to 7.8 utilizing Overall agreeableness score.
Optimizing Commodity Properties of Extruded Snack Product Using Rsm
Authors:   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, Selvarathi M. , Stephen *S.Elizabeth Amudhini ,   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore,, C Bazil Wilfred. ,   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, R Ramya ,   Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India
Published: November 2019

Rice legume blends were used for the formulation of an extruded product. Response surface methodology (RSM) being a statistical technique was used to evaluate the effect of cowpea (0-20%), groundnut or peanut (0-10%), and feed moisture (14-48%) levels on quality response (moisture of product, ratio of expansion, bulk density, color) of the extruded product. Responses were formulated by box behnken method. Responses were affected most by changes in legume addition and feed moisture. The optimum condition was estimated as level of cowpea 10.64%, level of groundnut 4.14% and level of feed moisture 35.42%.
Stagnation Point Flow through a Porous Medium towards Stretching Surface in the Presence of Heat Generation
Authors:   Department of mathematics, JNTUH College of Engineering,Kukatpally,Hyderabad,India, Goud* B. Shankar , Narender G. ,   Department of H&S(Mathematics), CVR College of Engineering,Hyderabad, Telangana State, India, Kumar E. Ranjit ,   Department of Mathematics, Kakatiya Institute of Technology and Science, Warangal, Telangana.
Published: November 2019

In this work, the permeable system of a viscous fluid which impacts a porous stretching surface by heat generation, an investigation has been conducted on a steady laminar flow. Governing equations are converted into nonlinear ordinary differential equations by using the similarities and the solutions are obtained by using the shooting technique. The influences of the dimensionless parameters on the momentum and energy equations. Impacts on together flow and heat transfer from porosity, stretching of the medium of the velocity of the surface and heat generation /absorption factor are exhibited through graphs and deliberated.
Sustainable Extraction and Characterization of Hibiscus Sabdariffa Fibre (Mesta)
Authors:   Department of Textile Science and Designing, S.N.D.T University, Mumbai, India., Agarwal* Juhi , Dedhia Dr. Ela Manoj ,   Associate Professor & Head of Department Textile & Fashion Technology, Nirmala Niketan College of Home Science, Mumbai, India.
Published: November 2019

Green fibres like flax, jute, sisal, kenaf, mesta which has been used for more than 8000 years are the present and the future raw materials not only for the textile industry but also for modern eco- friendly composites, cosmetics, medicine, food, fodder, bio- polymers, agro fine chemicals and energy. Potentially under optimum cultivation conditions they cause little or no detrimental effect on the eco- system and they can be grown in different climatic zones. Organically cultivated, they recycle the carbon dioxide in the earth’s atmosphere. In the present study the sustainable extraction and characterization of Hibiscus Sabdariffa (mesta) were studied and documented along with the chemical composition and SEM of the fibre. The fibre was extracted from the stems by microbial retting technique and its composition was studied. The fibre was extracted immediately after harvesting and post harvesting.
Design and Performance Evaluation of a Solar Assisted 25kW PMSM Drive for Four Wheeler Electric Car.
Authors:   Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India., Pany* Premananda
Published: November 2019

This paper presents a complete design and control of solar assisted passenger car electric engine which aims to overcome the disadvantages associated with present E-Rickshaw. Here a permanent magnet synchronous motor (PMSM) drive is considered as main electric engine fed from Battery and Solar PV cell. Generally in VSI fed PMSM drive the dc input voltage to the inverter is kept constant irrespective of the load demand. This leads to more losses in the dc bus and overall efficiency of the system decreases. This paper presents a noble control technique with variable dc link voltage to improve the efficiency of the PMSM drive by minimizing the dc link power losses. An additional separate PI controller is used to control the dc link voltage which adjusts dc- link voltage indirectly. The design of PI controller with basic principles is illustrated and the necessary conditions are analyzed. This control scheme is tested with a 25kW Permanent magnet synchronous motor (PMSM) drive suitable for application in electric vehicle. The effectiveness of the system is verified through simulation using Simulink/ MATLAB.
Effective Power Quality Improvement in PV Grid by using Adaptive Hysteresis Dynamic Active Power Filter Under Different Source Voltage Control Strategies
Authors:   Associate Professor, Department of Electrical Engineering, Sri Venkateswara College of Engineering, Tirupati, India., Penagaluru* *Suresh , T Dr. Gowri Manohar. ,   Professor, Department of Electrical Engineering,S.VUniversity, Tirupati, India.
Published: November 2019

With the modernization of loads using power electronic components and dynamic loads diminishes the power quality of the system. Integration of renewable energy sources is the best solution to meet the additional power demand and also to improve the power quality problems like low power factor and harmonics distortions. In this paper, an adaptive dynamic shunt active power filter is proposed to alleviate the power quality problems like current harmonic distortions and reactive power compensation. The proposed control strategy performance is examined under different source voltage conditions under IEEE standards. Photovoltaic system is integrated at DC link of the Adaptive dynamic shunt active power filter. Proposed system performance is studied by using MATLAB/SIMULINK Environment.
Designing of Jamming-Resistant Global Positioning System Receiver
Authors:   Ph. D. Research Scholar, Dept. of ECE, Birla Institute of Technology, Mesra, (Deogarh Campus), Ranchi, Jharkhand, INDIA., Kumari* Rachna , Mukhopadhyay Dr. Mainak ,   HOD, Dept. of ECE, Birla Institute of Technology, Mesra (Deogarh Campus), Ranchi, Jharkhand, INDIA.
Published: November 2019

The Global Positioning System (GPS) that guarantees the perfect location and period data has mostly used steering appliance for several applications. In this paper, Designing of Jamming-resistant GPS system receiver is propose to achieve impartial developments and the parameters are utilized to correctly compute the narrowband signals in the online version. The proposed algorithm can improve the faster convergence rate and improved inference correctness. The experimental results prove that the proposed method employs a good performance compared to the related methods in terms of Mean output capacity.
Performance Analysis Of Double-Gate Carbon-Nanotube FET And MOSFET For High Speed Integrated Circuits Design
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab India, Lakhanpal* Aakanksha , Sandha Karmjit Singh ,   Assistant Professor, Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab India
Published: November 2019

This paper explains the detailed structure as well as performance of DG-CNTFET (Double Gate Carbon Nanotube Field Effect Transistor) and its performance is compared with the DG-MOSFET (Double Gate Metal Oxide Semiconductor Field Effect Transistor). Various parameters like I-V characteristics, ON current, OFF current and ON to OFF current ratio have been evaluated using nano-TCAD ViDES. Also, the transport description of DG-MOSFET and DG-CNTFET has been described in detail. It has been observed that DG-CNTFET has lower OFF current and higher ON current in comparison to the DG-MOSFET. The higher ON current of DG-CNTFET depicts that it requires less time to turn on the device in comparison with DG-MOSFET. Also, OFF current of the DG-CNTFET is lesser as compared to MOSFET. The DG-CNTFET’s higher ON to OFF current ratio outperforms the DG-MOSFET in term of switching speed of the device. It is proposed that CNTFET can be used as an alternative of MOSFETs for high speed Integrated Circuit (IC) design.
Experimental Analysis of Machine Learning Algorithms Based o n Agricultural Dataset f or Improving Crop Yield Prediction
Authors:   Research Scholar, Department of Computing Sciences and Engineering, Sandip University, Nasik., Lata* Kusum , Khan Sajidullah S. ,   Associate Professor, Department of Computing Sciences and Engineering, Sandip University, Nasik.
Published: November 2019

Agriculture is the primary research study area in India as agriculture is the main source of income for various communities. In classification algorithm for agricultural dataset according to production, area, crop and seasons. Here, four classification algorithms are used with the help of WEKA tool. These algorithms are namely the present scenario, there is a call to renovate the enormous agriculture data into diverse technologies and make them accessible to the farmer for improved decision making. The endeavor of this work is to find out the finest Random Tree, J48, Bayes Net and KStar etc. The captured results revealed that Random tree algorithm performed well in terms of error rate and provides slightly better performance than KStar, Bayes Net and J48 classifiers. In this paper, our objective is to apply machine learning techniques to mine constructive information from the agricultural dataset to improve the crop yield prediction for major crops in Nashik district of Maharashtra.
KINETIKA DESORPSI UREA DARI KARBON BERPORI TEROKSIDASI ASAM SULFAT SEBAGAI SLOW RELEASE FERTILIZER
Authors: Evila Theresia , Amrullah Shafwan
Published: November 2019

Urea is an important nitrogen source for plant but the price of urea fertilizer is relatively high. Urea uptake from urea manufacture waste water and its application as fertilizer is of high interest. The purpose of this study is to find out desorption ability of urea adsorbed porous carbon to be applied as fertilizer. Theoritically, urea released from  porous carbon to environment has slower rate of mass transfer compare to conventional urea fertilizer because urea molecules in porous carbon has to pass through pores of carbon during its movement out of carbon. The porous carbon as adsorbent was made from coconut shell by pyrolysis, followed by sulfuric acid oxidation treatment  Oxidation treatment carried out to extent adsorption capacity as well as to give additional sulfur nutrient when applied as fertilizer. Oxidation of carbon surface was performed using sulfuric acid (50%w) to soak porous carbon followed by heating at 90oC temperature for 2 hours. Desorption was conducted by placing porous carbon into beaker contain water and the raising of urea concentration in water recorded after 3,5,10, 30, and 60 minutes. Results reveal that the value of mass transfer coefficient (kc) and effective diffusivity (De) of urea desorption from porous carbon are 0,0293 – 0,0743 cm/s and 8 x 10-10 – 5 x 10-9 cm2/s with initial concentration of urea 1000, 2000, and 4000 mg/L. Release rate of urea from porous carbon and urea prill are 0,07 ppm/s  and 1,23 ppm/s. Slower release rate of urea off  porous carbon than urea prill shows the promising of urea recovery using porous carbon as slow release fertilizer.
PENGARUH PERBEDAAN BANTUK BAHAN BAKU DAN SUHU GASIFIKASI AMPAS TEBU TERHADAP PRODUKSI HIDROGEN
Authors: Amrullah Shafwan , Evila Theresia
Published: November 2019

The use of fossil fuel at this time is very disturbing the survival, especially related to environmental and economic impacts. While the needs of world anergy continue to increase. The increase reached 80% until 2040. To overcome this problem, scientists have developed gasification technology that can produce fuel as a substitute for fossil fuel. Gasification from biomass can produce synthetic gas that is more environmentally friendly and renewable. so the purpose of this study was to determine the effect of different forms of raw material and temperature on hydrogen produced by the gasification process made  from sugarcane bagasse. This research was conducted through a process of gasification made from bagasse biomass  to produce synthetic gas that can replace fossil fuel. The type of reactor used is downdraft type reactor. This research was carried out by the gasification process using raw material in the form of sugarcane bagasse with diameters and lengths of 6 mm and 50 mm respectively and the others in the form of fibers . Gasification is also carried out with variations in temperature, namely 800, 950 and 1,050oC . After that, the synthetic gas produced is tested by Gas Chromatography on each variable so that the hydrogen content is known. The hydrogen produced is defined in the form of H2, CH4  products, and the value of hydrogen conversion efficiency. The results obtained showed an increase in H2, CH4, and hydrogen conversion efficiency with an increase in gasification temperature, both in the form of pellets and ash. As for the change in the form of raw materials from pellets to fibers, it causes a decrease in H2, CH4, and hydrogen conversion efficiency values. H2 compositions produced at temperatures of 800, 950, and 1050oC were 10.618, 12.080, 11.312% by volume and 3.025, 2.925, 3.150% by volume, respectively. CH4 composition for raw materials in the form of pellets and fibers at temperatures of 800, 950, and 1050oC were 1.040, 2.622, 2.867% by volume and 0.846, 0.856, 1.051% by volume, respectively. The value obtained is relatively very small compared to the results obtained in previous studies. The value of hydrogen conversion efficiency for raw materials in the form of pellets and fibers at 800, 950, and 1050oC are 1.62%, 3.45%, 3.91% and 1.89%, 1.92%, 2, 32%.
PRADINIŲ KLASIŲ MOKYTOJŲ IR VISUOMENĖS SVEIKATOS SPECIALISTŲ BENDRADARBIAVIMO POREIKIS
Authors: Budrevičiūtė Indrė , Stepukonis Faustas
Published: November 2019

Tyrimo tikslas – išanalizuoti pradinių klasių mokytojų ir visuomenės sveikatos specialistų bendradarbiavimo poreikį. Metodai. Kiekybiniame tyrime, kuris atliktas naudojant apklausą raštu ir ištisinės atrankos metodą, dalyvavo 162 Radviliškio ir Šiaulių mokyklų pradinių klasių mokytojai. Apklausa vykdyta 2018 m. balandžio bei 2019 m. spalio–lapkričio mėnesiais. Rezultatai ir išvados. Dauguma Radviliškio (72,7 proc.) ir Šiaulių (59,7 proc.) pradinių klasių mokytojų visiškai sutinka su teiginiu, kad mokykloje sveikatos priežiūra vaidina svarbų vaidmenį. Didžioji dalis Šiaulių (55,8 proc.) bei Radviliškio (48,5 proc.) pradinių klasių mokytojų mano, kad sveikatos ugdymo veiklai mokykloje yra skiriamas pakankamas dėmesys. Trumpesnį darbo stažą turintys mokytojai dažniau pritarė minčiai, kad blogi vaikų tarpusavio santykiai bei prasti santykiai su tėvais ir auklėtojais veikia vaikų sveikatą (p < 0,01). Nustatyta, kad net 83 proc. iš visų apklaustų respondentų visiškai sutinka, kad mokykloje yra reikalingas visuomenės sveikatos specialistas. Daugiau nei du trečdaliai – 71 proc. apklaustųjų – nurodė, kad jiems teko bendradarbiauti su visuomenės sveikatos specialistu.
KLINIKINIS ATVEJIS: DIEULAFOY PAŽEIDIMAS
Authors: Vilčinskaitė Ilma , Srėbaliūtė Gintarė , Garčauskis Martynas
Published: November 2019

Dieulafoy pažeidimas (DP) yra 1–2 % kraujavimo iš viršutinio virškinamojo trakto atvejų priežastis. Dėl šiai patologijai būdingo nepastovaus kraujavimo tiksliai diagnozei nustatyti gali prireikti pakartotinio endoskopinio tyrimo ar net angiografijos. Pristatomas klinikinis atvejis – pacientei lėtinės anemijos priežastis nustatyta tik per pakartotinį endoskopinį tyrimą, kai pastebėtas aktyvus kraujavimas iš dvylikapirštės žarnos kraujagyslių defekto. Kombinuojant medikamentinį gydymą ir šiuolaikines invazinio kraujavimo stabdymo procedūras, atlikta sėkminga hemostazė.
PACIENTŲ CHARAKTERISTIKŲ ĮTAKA LIGONINĖS CHARAKTERISTIKŲ VERTINIMUI: TARPUSAVIO SĄVEIKA IR PRIKLAUSOMYBĖ
Authors: Janušonis Vinsas
Published: November 2019

Paciento charakteristikos turi sąsajų su ligoninės charakteristikų ir sveikatos priežiūros proceso vertinimu. Darbo tikslas – nustatyti pacientų charakteristikų įtaką ligoninės charakteristikų vertinimui bei jų tarpusavio priklausomybę. Atliekant tyrimą, analizuotos skirtingų šalių autorių mokslinės publikacijos, apklausti pacientai, gydęsi įvairiose Lietuvos ligoninėse. Respondentai vertino tam tikras ligoninių charakteristikas. Šiame darbe atskleista pacientų socialinių-demografinių charakteristikų įtaka ligoninės charakteristikų vertinimui. Nustatyta, kad palankiausiai respondentų vertinamos ligoninės charakteristikos (gydytojų ir slaugytojų kvalifikacija, sveikatos priežiūros kokybė ir tinkamas medikų bendravimas su pacientais) nepriklausė nuo pacientų charakteristikų.
CHIRURGIJOS PROFILIO PACIENTŲ POŽIŪRIS Į SLAUGĄ
Authors: Platakytė Jurgita
Published: November 2019

Straipsnyje aptariamas chirurgijos profilio pacientų slaugos poreikis, šių pacientų nuomonė apie slaugos veiksmus po jiems atliktų operacijų. Siekiant įvertinti chirurgijos profilio pacientų požiūrį į slaugą, atliktas kiekybinis tyrimas, remiantis originaliu straipsnio autorės sudarytu klausimynu. Šio empirinio tyrimo rezultatai parodė, kad pacientams svarbi slaugytojų pagalba kontroliuoti silpnumą, nuovargį, pagreitėjusį pulsą, pakitusį kraujospūdį, miego sutrikimus, nenorą bendrauti, pilvo pūtimą bei apetito praradimą. Pacientų nusiskundimams ir jų slaugos poreikio bei slaugytojų atliekamų veiksmų vertinimui įtakos turi sociodemografiniai pacientų duomenys – lytis, šeiminė padėtis ir amžius, bet ne taikytas gydymo metodas. Slaugos paslaugos atitinka pacientų poreikius, o slaugytojų atliekamais veiksmais didžioji dauguma pacientų yra patenkinti.