bluuebunny/crossref_metadata_2025 huggingface dataset:
Features of professional self-determination in various types of families (on the material of dynasties)
Authors: Shamanin Nikolay V. , Lapshin Vitaliy Ye.
Published: October 2019

This article addresses the problem of determining the professional self-determination of younger family members. The article provides an analysis of the views of researchers on the role of the family in the professional development of an individual. The article deals with the problems of professional self-determination in dynastic and non-dynastic families. The question arises, whether the family is a support for its younger members on the basis of which, successful formation of professional qualities of the individual takes place, or the family may produce a "lag effect", ignoring inclinations, flairs and interests of the child. The study allows the authors to conclude that there is a transgenerative transference in the professional self-determination of the individual. The authors suggest that transgenerative transference is the main determining factor of professional self-determination in dynastic families, determining the choice of a profession by younger members of a dynastic family. It has been suggested that transformational phenomena occur in the process of professional self-determination of younger family members according to the types "inversion" (inversion), "hypertrophy" (amplification) and "deformation (distortion)".
Characteristics of adaptation opportunities of children of different types of psychosomatic constitution
Authors: Boboshko Irina Ye. , Zhdanova Lyudmila A.
Published: October 2019

Methodological approach to allocation of constitutional characteristics of children which subdivided in terms of mental activity orientation type as well as to their mental organisation features' identification and to adaptation opportunities' comparative characteristics is offered in this article. Distinctions of systemic portraits of children who are either introverts, or centroverts, or extroverts, reflect "the constitutional norms" distinctions revealing advantages and disadvantages of each type: thus, introverts are disciplined, logical, assidious when being exposed to long simple monotonous loadings; they show endowments in motor function of the hand, and they are industrious, but inert, disturbing, adynamic; extroverts, on the contrary, are resolute, vigorous and initiative; they have high reactive potential; but what is their disadvantage, is deficiency of attention and randomness, tendency to manifestation of explosive temper; the greatest optimality is peculiar to the centroverts who represent "the constitutional balance". The described differences in social and psychological properties are the basis for creation of the differentiated approaches to upbringing children when optimising adaptation in introvert children by means of decreasing uneasiness, improving mental activity and self-assessment; and in extroverts, by means of decreasing excess activity, aggression, impulsiveness; and in centroverts, by means of increasing randomness and independence. The offered approach will be of interest of experts in the field of pedagogy and psychology, allowing individualising as much as possible upbringing programmes in the conditions of educational institution and family.
Predictors of the adverse course at hospital stage of Q-myocardial infarction treatment
Authors: Syvolap V. D. , Kapshytar N. I.
Published: October 2019

Purpose of the study. Identify predictors of the course adverse at hospital stage of Q-myocardial infarction treatment.
Materials and methods. The study involved 139 patients in the acute stage of Q-MI, average age 66 ± 0,97 year, male – 59%. Patients underwent a general clinical examination, determined the level of glycemia on admission, copeptin, NTproBNP, left ventricular ejection fraction (LVEF). 101 patients have reached cumulative endpoint (CEP), average age of 68 ± 1,02 years, of which male were 57%. As the CEP were considered one of the occurrence adverse events: death on the hospital stage (n = 17, average age 70,4 ± 2,37 years, male – 53%), development of acute heart failure (n = 94, Killip II – n = 52, Killip III n = 42, 52% were male, average age 69,2 ± 8,3 years), decreased LVEF < 45% (n = 64, average age 66 ± 1,22 years, male 63%).38 patients did not have a single endpoint, the average age 62 ± 2,2 years, male 67%.
Results. According to multivariate logistic regression analysis, independent risk factors for increased risk of intra-hospital mortality were copeptin level more than 0,87 ng/ml, which increased the odds ratio (OR) by 1,4651 times (p = 0,014) and hyperglycemia on admission more than 9,0 mmol/L, which increased intrahospital mortality by 1,2 times (p = 0,006). Independent risk factors for achieving the CEP were tachycardia (OR = 3,19; p = 0,009), increased copeptin level more than 3,3 pmol/L (OR = 1,52; p = 0,01) and hyperglycemia more than 9,3 mmol/l (OR = 1,20; p = 0,02).
Conclusion. Independent risk factors of increasing intra-hospital mortality were the level of copeptin more than 0,87ng/ml and hyperglycemia on admission more than, 9 mmol/l. Dependent and independent risk factors for CEP were tachycardia, an increase in the level of copeptin over 3,3 ng/ml and hyperglycaemia on admission more than 9,3 mmol/l.
Analisa Usahatani Padi Ketan (Oryza sativa glutinosa) (Studi Kasus di Kelompok Tani Sri Rahayu Desa Margamulya Kecamatan Bongas Kabupaten Indramayu)
Authors: Mulyati Neneng Sri , Sumarna Pandu
Published: October 2019

The research aims to determine the cost of production, acceptance, profit, RC Ratio (Revenue Cost Ratio), and feasibility (ability) of glutinous rice farming.  The research method is to use a descriptive survey with a census of sampling techniques against members of the farmer group Sri Rahayu Margamulya village Bongas Sub-district of Indramayu district that planted glutinous rice with 11 people.  Based on the results of the research can be known that the average total cost of glutinous rice farming is Rp. 29,313,151.52, the average admission is Rp. 47,836,363.64, the average profit is Rp. 18,523,212.12, and the R/C of its farming is 1.63, As well as the ability gained by farmers is 63% per season higher than the Bank rate prevailing at the time 1.5% per month. So it can be concluded that glutinous rice farming is profitable and worthy to be cultivated.
A Romanian case study of clothes and accessories upcycling
Authors: PARAS MANOJ KUMAR , WANG LICHUAN , CURTEZA ANTONELA , PAL RUDRAJEET , CHEN YAN
Published: October 2019

The present paper aims to investigate the practice of upcycling and redesign. The study draws on the multiple
organizations involved in the redesigning activities. The organizations selected for the study are located in the northern
part of Romania. Semi-structured interviews along with direct observations were used to collect information. The paper
provides practical insights to upcycling process.Various kinds of redesigned products are made out of consumer and
industrial wastes such as redesigned clothes, accessories for ladies, handbags, ladies purses and office stationery.
Upcycling is generally considered as economically non-feasible. However, this study has found contradictory results. The
demand-based redesign activities can help an organization to earn a profit. Two out of three selected organizations are
able to self-sustain. One of the organizations is newly entered into the Romanian used clothing markets and ables to
compete with existing players. This study could be seen as one of the early attempts to empirically explore the practice of
textile and accessories upcycling practice in Eastern Europe. The findings from the current case study can provide several
useful insights for other similar companies to make redesign activities profitable.
IMPLEMENTING A CELIK STEM MODULE IN EMPOWERING EIGHTH-GRADERS’ CREATIVE THINKING
Authors: Mohd Shukri Ahmad Adnan , Che Ahmad Che Nidzam , Daud Norhayati
Published: October 2019

The purpose of this study is to examine the contributions of the Celik STEM Module developed on pupils’ creative thinking in the science classrooms. A quasi-experimental study involved a non-equivalent control group with a sample of 60 eighth-graders aged 13 years old from a boarding school in Baling, Kedah. The sample was divided into two groups; 30 pupils of the treatment group and 30 pupils of the control group. Data were collected from pre-post-creative thinking test (CTT) scores. One-way analysis of covariance at a significance level p < .05 was performed in analyzing the data. After adjusting for pretest scores, there was a significant difference between the two sample groups on posttest scores on the CTT, F (1,57) = 16.639, p = .000, partial eta squared = .226. Besides, there was a significant and moderate relationship between the pretest and posttest scores on the CTT, as indicated by partial eta squared = .082. In conclusion, teaching and learning of the Reproduction topic through STEM integration applied in the module is better than regular instruction. The results of the present study showed that this alternative teaching method has been proven effective in developing and empowering pupils’ creative thinking.
EVALUATION OF INTERACTIVE PHYSICAL ACTIVITY EDUCATION PROGRAM (IPAEP): A PRELIMINARY STUDY
Authors: Ab. Rashid Ahmad Faezi , Marican Nor Dalila , Mohamed Yusoff Abdullah , Mohd Yasin Nurul Hafizah , Abdul Halim Mohd Hafzal , Hasbollah Hasif Rafidee
Published: October 2019

The purpose of this study was to evaluate changes in physical activity knowledge among university students after exposure to Interactive Physical Activity Education Program (IPAEP). In current globalization, physical inactivity or sedentary lifestyle becomes a major underlying cause of chronic diseases worldwide. There is a growing concern of inadequate physical activity levels among young adult especially university students. The acquisition and dissemination of physical activity recommendations through physical activity program are essential in the delivery of an adequate level of physical activity knowledge among university students Materials and Methods: A quasi-experimental study design was conducted, and data were collected using a questionnaire among students (n=116) of Universiti Malaysia Kelantan, to evaluate the changes of physical activity knowledge after exposure to IPAEP intervention. All of them participated in 10 weeks of IPAEP intervention. In the IPAEP intervention, students were exposed to interactive lectures and various online activities related to types, risks, benefits, and key recommendations of physical activity. Pre- and post-intervention surveys were taking place before and after the program to evaluate the same measure, which is the physical activity knowledge. Data were analyzed using IBM SPSS version 25.0. Paired-sample t-tests were used to evaluate the differences between pre- and post-intervention of the physical activity knowledge scores. Result: The present study showed a significant increment in physical activity knowledge score (P-value <0.001) among university students after participating in IPAEP intervention. Conclusion: Since the present study emphasized physical activity education for university students, the IPAEP could contribute to better physical activity knowledge which eventually beneficial for their active lifestyle in the future.
Qualitative Analysis Framework for Converting Braille to Voice using Image Recognition
Authors:   Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., M* Archana. , S Dhivya. ,   Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India.
Published: October 2019

Abstract: In our everyday life, we are seeing a great deal of visionless people in our general public. These individuals face challenges with their ordinary exercises, for example, perusing, strolling, driving, mingling and composing. Braille Script is a technique that is broadly utilized by visionless people to peruse and compose. Braille Script is a system that is commonly used by visionless individuals to examine and form. Braille Code generally contains cells of brought spots organized up in a system to etch characters on paper. Trance People can identify the proximity and nonappearance of spots using their fingertips, giving them the code for picture. Its characters are six-spot cells, with segments and three lines. The musing is completed on a present understanding structure united with a constrained state machine with certain setting organizing and elucidation rules. A system is proposed for changing over Braille codes to Tamil voice message executed using Python in Natural Language Processing which can be scrutinized out to various through the PC. In this paper Braille code is expelled from data picture and it is mapped to the Tamil database and held up.
Estimation of Deforestation Rate for LBA-ECO LC-14 Modeled Deforestation Scenarios, Amazon Basin: 2002-2050 using Fuzzy k-means clustering
Authors:   Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Murugesan* Kalaiyarasi , Balasubramani Perumal ,   Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Murugan Pallikonda Rajasekaran ,   Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: October 2019

Amazon region plays a very substantial role within the worldwide energy, hydrological cycle and carbon balance. The total area of Amazon forest is 5.5 million km2. About 7.3% of the Amazon was deforested between 1976 – 2003 and further 2.6% between 2000 and 2010. PRODES (Amazon Deforestation Monitoring Project) oversees deforestation over satellite images of the categorical deforestation in Amazon. The annual deforestation rate is predicted depends on the desertification expansion identified in every satellite image integument the Brazilian region known as legal Amazon. According to Brazil's National Institute for Space Research (INPE) and Food and Agriculture Organization (FAO), till now totally 768,935 km2 were deforested in Amazon Basin. This paper proposes a segmentation approach that enables the estimation of the deforestation rate on tropical forest clearing in Amazonia, South America in the recent, past (2002–2010) and in an exceedingly future (2020–2050) land cover change in the LBA-ECO LC-14 Modelled Deforestation Amazon Basin scenarios.
Maize Leaf Disease Severity Analysis using Integrated Color Filtering and Threshold Masking
Authors:   Asst.Prof, Tiruppur Kumaran College for Women , Tirupur , Tamilnadu , India, Mohanapriya* C. , Tamilselvi P.R. ,   Asst.Prof,Govt.Arts and Science college ,Komarapalayam , Tamilnadu , India
Published: October 2019

As the color is a dominant factor for isolation of the diseased part of corn maize, the detachment of disease affected parts in maize plant leaf is achieved using integrated Color Filtering followed by a threshold masking. The Particular HSV from a color image of maize plant is extracted .Major steps involved here is to initially convert an RGB image of disease affected maize plant to HSV and second is to apply a threshold mask to filter out the green color of healthy maize plant and detach the brown and yellow diseased area thereof. This method is applied and tested with around 30 maize leaves, and the results found that the proposed methodology performs well with overlapped healthy maize leaf compared to K-means Clustering algorithm. False Positive is produced in K-means method and this Proposed system as integrates with Color Filtering and thresholding works well with overlapped images so that it increases True negative as the Accuracy of the proposed method increases. This proposed methodology identifies well with perfect maize leaf images and misclassifications occur only with images with dark shadows, light illuminations and sanded background.
An Improved Heuristic Based on Clustering and Genetic Algorithm for Solving the Multi-Depot Vehicle Routing Problem
Authors:   EMI, Mohammed V University, Rabat, Morocco., Oudouar* Fadoua , Fallahi Abdellah El ,   ENSA, Abdelmalek Essaadi University, Tetuan, Morocco, Zaoui El Miloud ,   EMI, Mohammed V University, Rabat, Morocco
Published: October 2019

Abstract: This paper introduces the multi depot vehicle routing problem (MDVRP) with location depot, a hard combinatorial optimization problem arising in several applications. The MDVRP with location depot based on two well-known NP-hard problems: the facility location problem (FLP) and the multi depot vehicle routing problem (MDVRP) with location depot. In the first phase, the problem consists of selecting on which sites to install a warehouse and assigning one and only one warehouse to each customer. In the second phase, for each depot, we search to solve a vehicle routing problem (VRP), multiple vehicles homogenous leave from a single depot and return to the same one. Each route must respect the capacity of each vehicle. The goal of this problem is to minimize the total distances to the performed routes. The MDVRP with location depots is classified as an NP-hard problem. Hence, the use of exact optimization methods may be difficult to solve this problem. In this work, we propose a method to solve it to optimality. The proposed procedure initially uses K-means algorithm to optimize the location selection and customer assignment, then planning the routes from the selected warehouses to a set of customers using Clarke and Wright saving method. The routes from the resulting multi-depot vehicle-routing problem (MDVRP) are improved using a Genetic Algorithm (GA). The proposed approach is tested and compared on a set of twelve benchmark instances from the MDVRP literature. The computational experiments confirm that our heuristic is able to find best solutions.
Credit Organization Risk Assessment Technology
Authors:   associate professor, Department of Innovative Economics, Finance and Project Management, Moscow Aviation Institute (National Research University) MAI, Alekseevich* Gorelov Boris , Anatolievna Burdina Anna ,   Professor, Department of Innovative Economics, Finance and Project Management Moscow Aviation Institute (National Research University) MAI, Valerevna Moskvicheva Natalia ,   Associate Professor, Department of Innovative Economics, Finance and Project Management Moscow Aviation Institute (National Research University) MAI, Nikolaevna Gerashchenko Natalia ,   Associate Professor, Department of Innovative Economics, Finance and Project Management Moscow Aviation Institute (National Research University) MAI
Published: October 2019

Credit, market, operational, interest rate, currency risk of credit organizations, liquidity risk, legal regulation of such risks have been analyzed in the study. A risk assessment mechanism has been developed, which includes the following steps: assessing the reliability of financial statements, assessing the value of own funds (capital) of credit organizations, analyzing the financial condition of an investor, and assessing the value of assets. The problems of analyzing banking risks at each stage have been identified. A practical implementation of the developed methodology for analyzing the bank’s risks has been carried out, which allowed the use of “adjustment schemes” by credit organizations. The most dangerous are the schemes for artificially "inflating" the capital base of credit organizations, overstating the quality of assets, and formally reducing the risks taken. The proposed methodology has been recommended to be used to improve the risk management system of credit organizations.
Statistical Analysis of Target Detection using TRT-SGRFT
Authors:   Research Scholar, Faculty of Electronics Engineering, Sathyabama Institute of Science and Technology., Jagadesh* T. , Rani B.Sheela ,   Director (Research), Sathyabama Institute of Science and Technology.
Published: October 2019

This paper proposes novel methodology for tar-get detection and motion parameter estimation for a maneuvering target. Noise like interference may inculcate few difficulties such as Range Migration (RM) and Doppler Frequency Migration (DFM). This paper proposes a novel method to overcome the issue. The method is to use Time Reversing Transform (TRT) and special generalized Radon Fourier transform (SGRFT), i.e., TRT-SGRFT. TRT separates the motion parameters and reduces the clutter. Then the SGRFT operation is employed to estimate part of the motion parameters. This method ensures a good tradeoff between the computational cost and estimation perfor-mance. Finally, simulations results are discussed to demonstrate the numerical results.
ECG Arrhythmia Classification Algorithms
Authors:   ECE department, Faculty of Engineering & Technology, Gurukul Kangri Vishwavidyalaya, Haridwar, India., Nainwal* Ashish , Kumar Yatindra ,   Electrical Department, G B Pant Institute of Technology, Pauri Garhwal, India., Jha Bhola ,   Electrical Department, G B Pant Institute of Technology, Pauri Garhwal, India.
Published: October 2019

In last two decades lot of work is introduced on ECG classification. Authors took different database, features of ECG, class of data, learning and training algorithms to classify ECG signal. Normally class of data mentioned in source of database. Mainly three classification techniques which are discussed in this paper, these are support vectored machine (SVM), artificial neural network (ANN) and linear discriminate (LD). In this paper all the ECG classification based papers are analyzed and try to find out loophole and future challenges. This paper also discusses the different database of ECG signal.
Smart Indication System for Spinal Cord Stress Detection
Authors:   Associate Professor/ECE Department, KCG College of Technology, Chennai, India., Anand* Jose , M. Dhanalakshmi ,   Project Developer, Ramya Electro Gear Pvt. Ltd., Chennai, India, Perinpam J. Raja Paul ,   Research and Development Engineer, Ramya Electro Gear Pvt. Ltd., Chennai, India
Published: October 2019

It is known that the technological advancements are increasing at a faster pace. But the utilization of technologies in various sectors is very low. It is also known that a certain bone deficit people suffer from bone disorientation due to their posture of how they sit. So it becomes difficult for them to maintain their bone problems while working. This might cause major problems to them both physically and mentally. We proposed a system where the human spine posture is continuously monitored. The system prevents spinal bending and corrects the posture as well with the support of the person. The device helps the people who are suffering from scoliosis by preventing their spinal deformity from further destruction. If the person bends too much, then intimation is provided to the user using buzzer or voice message. During abnormalities the information is conveyed to the guardian or doctor through SMS and the location of the person is also conveyed with the GPS connected to the proposed device.
Feature Engineering for Enhanced Model Performance in Software Effort Estimation
Authors:   Research Scholar, School of Management Studies, National Institute of Technology Calicut, Kozhikode, Kerala, India., Pillai* Sreekumar P. , Radharamanan Dr. T. ,   Head of Department, School of Management Studies, NITC, Kozhikode, Kerala, India., Madhukumar Dr. S.D. ,   Professor, Dean (SW), Dept. of Computer Science, NITC, Kozhikode, Kerala, India.
Published: October 2019

Many new methodologies have been defined in the last two decades in the domain of Software Effort Estimation. They include manual methods based on expert judgment, analogy-based models, parametric models, regression models, machine learning models, and more recently, deep learning models. Except for manual methods, all other models depend heavily on data. Lack of quality data in this domain is a motivation to explore means to optimize the sparse data available. Machine learning algorithms depend on domain features, and their ability to represent and model the domain, to solve the problems irrespective of whether it is classification or regression, image, or voice synthesis. There is continued research for the best representation of the issue through the right feature space. While most of the traditional research rely on the original dataset and concentrate more on feature selection, modern-day approaches explore creating additional features that have the potential to extend the models representational space.This research builds on our last research exploring the potential to improve Software Effort Estimation accuracy by employing engineered features in addition to the original ones. The features are created manually based on the literature. Through the engineered features, we captured additional representational features such as missingness and proportion of categorical data available in the dataset. We present the rationale for the features generated and compare the prediction accuracy between a model using the original dataset and the engineered data set.Our experiments in Feature Engineering is innovative in the Software Estimation domain and the results conclusive establishing its use in predicting Software Effort. We report an improved accuracy of 38% with engineered features at PRED(15), and 11% improvement at PRED(20). The quantitative growth that we have been able to achieve in terms of accuracy is promising enough for this to be adopted as a standard in future research on the subject and practical applications.
Face Recognition using Discrete Haar Wavelet Transforms
Authors:   Department of Physics, IFTM University, Moradabad-244001, India,, Kumari* Meenu , Kumar* Anil ,   Department of Physics, Hindu College, Moradabad-244001, India, Saxena Manish ,   Department of Physics, Moradabad Institute of Technology, Moradabad -244001, India,
Published: October 2019

Wavelet transform is being applied as an important analyzing tool in signal and image processing because it provides better signal representations with less computation time because of property of multiresolution analysis. An analogue image is transformed into a discrete image in a space through a sampling process. The wavelet transforms and analysis of discrete image are performed using Haar wavelet, level-2. Through analyzing and comparing different patterns, one or more persons are identified in the face recognition process. It is accomplished by using correlation coefficient and Euclidean distance of scaling coefficients of wavelet transformed images. In the face recognition the typically facial features are extracted and compared to a database for finding the best match. Matching of features is performed between test image and stored database images.
Artificial Bee Colony based Static State Estimation for Power Systems
Authors:   Department of Electrical and Electronics, SRMIST, Kattankulathur, Chennai, India., Subramaniyan* Shanmugapriya , Ramiah Jegatheesan ,   Department of Electrical and Electronics, SRMIST, Kattankulathur, Chennai, India.
Published: October 2019

This paper applies an artificial bee colony (ABC) based optimization, inspired from the foraging behavior of honey bees in searching foods, in solving the power system state estimation problem. The method does not require computation of Jacobian matrices but involves simply calculation of the objective function. In this approach each probable solution is represented by the position of food source. The proposed algorithm (PA) has been applied on IEEE-6, -14, -30 and -57 bus test systems and results are presented to exhibit its superiority in applying it in energy management systems.
Aquaponics for Food Production in Different Growing Beds
Authors:   VicePrincipal(Academics),Professor,Civil Engineering,AVIT,VMRF,Paiyanoor,Tamilnadu,India,, Sangeetha* S.P. , Raj P.S.Aravind ,   Assco. Prof, Civil Engineering, AVIT, VMRF, Paiyanoor, Tamilnadu, India, Divahar R. ,   Assco.Prof,Civil Engineering,AVIT,VMRF,Paiyanoor,Tamilnadu,India, Kumar Ajith ,   and A. Sijo,final year students,Ciivl Engg,AVIT,VMRF, Paiyanoor,Tamilnadu,India
Published: October 2019

Soil is the most preferred medium for growth of vegetation worldwide.An experimental investigation has been carried out to study the efficiency of a system to grow plants without the presence of soil called aquaponics .Aquaponics is the process of growing plants and fish and it is combination of hydroponics combined with aquaculture. Water from an aquaculture which is filled with nutrients is transferred to hydroponic system which is used by the plants as nutrient supplements and then the water is recycled back to the fish tank. Ammonia in fish waste will be broken down by bacteria which will be converted into nitrites and then to nitrates. Nitrates thus produced can be used as a natural fertilizer to grow plants.Two different types of aqua phonic grow mediumsuch as clay pebbles and coconut coir pith experimented and compared for two different crops usingaquaphonic technique.
Near-Infrared Based Real-Time Peripheral Superficies Venous Imaging Solution for Difficult Venous Access
Authors:   Assistant Professor (Sr. Gr.), Department of Biomedical Engineering, PSG College of Technology, Coimbatore, India., Gopalakrishnan* Dr. S.
Published: October 2019

The proposed solution, the vein viewer provides a reliable solution for patients having Difficult Venous Access (DVA). DVA is a medical condition wherein the superficial veins are not easily palpable because of skin tone, obesity or age. The lack of visualization of veins results in wrong site of venepuncture and this can lead to many potential risks. The proposed model is based on the Near- Infrared (NIR) Technology to view the vein pattern which is not visible when seen by normal human eye. The infrared radiations illuminate the subject's hand and the image is captured using CMOS sensor with no IR cut lens. The captured image is preprocessed and image processing algorithms are performed to enhance the vein pattern. The processed image is then displayed real- time on a Liquid Crystal Display (LCD). The components are cased to form a single unit so that it can be handheld or mounted so that the practioner's hands are free for easily placing the needle. The cost of the product is greatly reduced so as to make this technology widely acceptable.
Personalized Learning Environment in Higher Education through Big Data and Blended Learning Analytics
Authors:   Research Scholar, Department of Computer Science, JAIN (Deemed to be University), Bengaluru, India., B* Tulasi. , R Suchithra. ,   Associate Professor Department of Computer Science, JAIN (Deemed to be University), Bengaluru, India.
Published: October 2019

Blended learning is seen as one of the effective ways of engaging learners in higher educational institutions. The e-learning platforms have further facilitated in adapting to learner centric approach of teaching learning. Analytics have played major role in revolutionizing various sectors including education. Blended learning analytics provides inferences which when utilized effectively by the educator and learner would enhance the teaching-learning experience. Huge amount of varied data is generated when learner and educator interact with e-learning platforms, this when coupled with other demographic information can be used to personalize the learning experience. This necessitates the need of a framework which can capture and use the digital data.
Fuzzy ECOC Framework for Network Intrusion Detection System
Authors:   Dept of CSE, RAGHU Institute of Technology, Visakhapatnam, India., Erothi* Uma Shankar Rao , Rodda Sireesha ,   Dept of CSE, GITAM University, Visakhapatnam, India,
Published: October 2019

Many aspects of our life now continually rely on computers and internet. Data sharing among networks is a major challenge in several areas, including communication, national security, medicine, marketing, finance and even education. Many small scale and large scale industries are becoming vulnerable to a variety of cyber threats due to increase in the usage of computers over network. We propose Fuzzy-ECOC frame work for network intrusion detection system, which can efficiently thwart malicious attacks. The focus of the paper is to enforce cyber security threats, generalization rules for classifying potential attacks, preserving privacy among data sharing and multi-class imbalance problem in intrusion data. The Fuzzy-ECOC framework is validated on highly imbalanced benchmark NSL_KDD intrusion dataset as well as six other UCI datasets. The experimental results show that Fuzzy-ECOC achieved best detection rate and least false alarm rate.
Performance Analysis of Hybrid Power System Along With Conventional Energy Sources for Sustainable Development in Rural Areas
Authors:   Research Scholar, EEE Department, JNTUA,  Ananthapuramu, India., Vendoti Suresh , Muralidhar Dr. M. ,   Professor, EEE Department, SVCET, Chittoor,  India., Kiranmayi Dr. R. ,   Professor, EEE Department, JNTUCEA,  Ananthapuramu, India.
Published: October 2019

The energy demand within the world has improved for a few reasons because of technical advancements, increasing enterprises, and increasing commercial energy consumption. Sufficient energy models will support the accurate use of renewable resources like solar, wind, biomass, biogas, and the fuel cell is a portion of the advantages used. Hybrid energy systems of these advantages will contribute viably to sustainable development and electrification in rural areas that do not access power grids. This study reviews the performance analysis of hybrid system along with conventional resources for sustainable development in remote areas. This paper also reviews the recent trends in energy usage from available renewable energy sources in addition to examine an expansive review of the performance analysis of different hybrid energy technologies in rural areas. It is also discussed the relative investigation of hybrid energy systems along with conventional energy sources particularly suited to the small and isolated areas supported by the literature. In continuation of this, the paper also discusses the future energy sources
APLIKASI MANAJEMEN PEMELIHARAN PRODUK PERANGKAT LUNAK
Authors: Noprisson Handrie , Budiyarti Budiyarti
Published: October 2019

Perusahaan yang bergerak di bidang pengembangan perangkat lunak, terdapat divisi khusus yang bernama Divisi IT Development yang yang menangani seputar produk pengembangan perangkat lunak yang akan/telah diimplementasikan pada pihak pelanggan. Namun seiring dengan perkembangan teknologi, jumlah produk perangkat lunak yang perlu dikelola sebuah perusahaan meningkat cukup tinggi dan terjadinya double request dan cross request dari pelanggan. Penelitian ini bertujuan untuk mengembangkan aplikasi manajemen pemeliharaan produk perangkat lunak. Metodologi penelitian ini terdiri dari tahap perencanaan, pengumpulan data analisa, perancangan dan implementasi. Hasil dari penelitian ini adalah aplikasi harus mampu untuk menyediakan layanan untuk mengelola data aplikasi (perangkat lunak), mengelola data solver, mengelola daftar request, mengelola data lembaga mitra, menginput request, menyetujui hasil request dan melihat daftar request.
Penerapan Algoritma Kruskal Dalam Mencari Lokasi Anjungan Tunai Mandiri Bank Rakyat Indonesia Cabang Bengkulu Berbasis Android
Authors: Gunawan Gunawan , Cahyani Melia Indah
Published: October 2019

Seiring dengan usaha peningkatan kinerja dan pelayanan, penggunaan dan pemanfaatan teknologi informasi semakin diperlukan untuk menggantikan peran teknologi manual. Hal ini dikarenakan kemudahan yang dapat diperoleh dari penggunaan teknologi informasi untuk pengolahan data maupun penyajian informasi yang cepat dan akurat sangat membantu untuk meningkatkan kinerja organisasi agar lebih efisien dan efektif. Namun, seringkali banyak organisasi yang mengabaikan atau kurang memaksimalkan pemakaian teknologi informasi di dalam kegiatan operasionalnya. Hal ini dapat diatasi dengan menggunakan suatu sistem informasi geografis (SIG). Dimana pengguna bisa memasukkan nama ATM bank melalui input pencarian, kemudian sistem akan memberikan informasi yang diinginkan oleh pengguna. Bank Rakyat Indonesia (BRI) merupakan bank swasta terbesar di Indonesia saat ini yang memiliki banyak jaringan kantor cabang dan ATM (Anjungan Tunai Mandiri). Tujuan penelitian ini adalah membuat sistem informasi geografis lokasi ATM BRI Bengkulu dengan algoritma kruskal Menggunakan Android, sehingga dapat memberikan informasi letak lokasi ATM BRI pada Provinsi Bengkulu menggunakan algoritma kruskal berdasarkan latitude dan longitude sehingga menghasilkan informasi jarak yang akurat.Kata Kunci: Sistem Informasi Geografis,ATM, Algoritma Kruskal
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN STATUS MUTU AIR SUNGAI MENGGUNAKAN METODE INDEKS PENCEMARAN
Authors: Khairunnisyah Khairunnisyah , Saputera Surya Ade
Published: October 2019

Dinas Lingkungan Hidup Dan Kehutanan Provinsi Bengkulu (DLHK) adalah instansi teknis yang bertanggung jawab dalam pengelolaan lingkungan hidup di Bengkulu. Selama ini, DLHK Provinsi Bengkulu memantau perkembangan status mutu air sungai dengan cara mengambil sampel air sungai di beberapa titik sungai mencakup titik hulu sungai, titik tengah serta titik hilir sungai. Proses pengambilan keputusan status mutu air masih terkesan lambat sehingga sistem yang digunakan harus diperbaharui mengikuti perkembangan teknologi dan sitem informasi yang mutakhir. Oleh karena itu, diperlukana dan ya sistem baru yang terdapat proses-proses yang bersifat otomatis dan perhitungan yang akurat. Penelitian ini menggunakan metode indeks pencemaran sesuai dengan. Hasil penelitian ini menunjukkan bahwa, sistem pendukung keputusan untuk menentukan status mutu air sungai menggunakan metode indeks pencemaran dapat melakukan proses perhitungan secara otomatis dan akurat, lebih efektif dan efisien lebih modern mengikuti perkembangan sistem informasi saat ini
EVALUASI KINERJA IMPLEMENTASI SISTEM INFORMASI PERPUSTAKAAN MENGGUNAKAN MODEL TASK TECHNOLOGY FIT
Authors: Tombilayuk Lapu Tombi , Jumardi Rio , Maghfirah Maghfirah
Published: October 2019

Pada tahun 2015 Sekolah Tinggi Teknologi Bontang (STITEK) menerapkan teknologi informasi pada perpustakaan STITEK Bontang. Penerapan teknologi informasi berupa penggunaan komputer dalam membantu melaksanakan tugas pekerjaan di perpustakaan sehari-hari.  Teknologi informasi yang diterapkan pada perpustakaan STITEK Bontang berwujud pada sebuah sistem informasi yang kemudian disebut dengan Sistem Informasi Perpustakaan STITEK Bontang.  Aplikasi ini digunakan diperpustakaan untuk manajemen buku, manajemen transaksi pinjam buku, kartu anggota dan berbagai tugas lainnya yang mendukung kinerja dari perpustakaan. Evaluasi terhadap penggunaan dan penerapn teknologi informasi pada suatu organisasi atau institusi perlu dilakukan agar pengguna yakin terhadap aplikasi atau sistem informasi yang telah diterapkan. Evaluasi terhadap Sistem Informasi Perpustakaan STITEK Bontang belum pernah dilakukan evaluasi baik evaluasi pra implementasi maupun pasca implementasi sistem, oleh karena itu evaluasi menjadi penting dilakukan agar dapat melihat sejauh mana kegunaan dan kinerja tugas dari aplikasi tersebut dan agar pengguna yakin bahwa implementasi Sistem Informasi Perpustakaan di lingkungan STITEK Bontang mampu memenuhi kebutuhan individu dan organisasi dalam peningkatan kinerja.
Sistem Kontrol Intensitas Cahaya, Suhu dan Kelembaban Udara Pada Greenhouse Berbasis Raspberry PI
Authors: Friadi Roby , Junadhi Junadhi
Published: October 2019

Abstrak - Intensitas cahaya, suhu dan kelembapan udara merupakan factor pendukung bagi pertumbuhan tanaman, suhu dan kelembaban di dalam ruangan greenhouse lebih tinggi dibanding diluar greenhouse karena udara yang masuk terhalang oleh dinding dan atap greenhouse, Intensitas cahaya yang berlebihan dapat menyebabkan suhu ruangan greenhouse meningkat yang dapat menyebabkan tanaman menjadi layu. Suhu dan kelembapan udara di dalam greenhouse sulit untuk di kontrol dengan pengontrolan manusia secara langsung dikarenakan greenhouse memerlukan perlakuan kusus untuk menjaga suhu dan kelembabannya..Untuk itu dibangun sebuah sistem kontrol Intensitas cahaya, suhu dan kelembapan udara menggunakan Raspberry Pi yang diintegrasikan dengan sensor LDR yang berfungsi membaca nilai intensitas cahaya, sensor DHT11 yang berfungsi untuk membaca nilai suhu dan kelembaban udara. Pada penelitian ini sistem yang dirancang  mampu menghasilkan sistem  kontrol intensitas cahaya, suhu dan kelembaban udara yang memanipulasi kondisi udara dalam ruangan greenhouse mampu menjaga suhu ruangan dalam rentang 25°C sampai 27°C dan mempertahankan kelembaban udara antara 50% sampai 70%.Kata kunci : Greenhouse, Intensitas Cahaya, Suhu, Kelembaban Udara,  Raspberry PiAbstrak - Intensitas cahaya, suhu dan kelembapan udara merupakan factor pendukung bagi pertumbuhan tanaman, suhu dan kelembaban di dalam ruangan greenhouse lebih tinggi dibanding diluar greenhouse karena udara yang masuk terhalang oleh dinding dan atap greenhouse, Intensitas cahaya yang berlebihan dapat menyebabkan suhu ruangan greenhouse meningkat yang dapat menyebabkan tanaman menjadi layu. Suhu dan kelembapan udara di dalam greenhouse sulit untuk di kontrol dengan pengontrolan manusia secara langsung dikarenakan greenhouse memerlukan perlakuan kusus untuk menjaga suhu dan kelembabannya..Untuk itu dibangun sebuah sistem kontrol Intensitas cahaya, suhu dan kelembapan udara menggunakan Raspberry Pi yang diintegrasikan dengan sensor LDR yang berfungsi membaca nilai intensitas cahaya, sensor DHT11 yang berfungsi untuk membaca nilai suhu dan kelembaban udara. Pada penelitian ini sistem yang dirancang  mampu menghasilkan sistem  kontrol intensitas cahaya, suhu dan kelembaban udara yang memanipulasi kondisi udara dalam ruangan greenhouse mampu menjaga suhu ruangan dalam rentang 25°C sampai 27°C dan mempertahankan kelembaban udara antara 50% sampai 70%.Kata kunci : Greenhouse, Intensitas Cahaya, Suhu, Kelembaban Udara,  Raspberry Pi
HUBUNGAN PENGETAHUAN DAN PERILAKU SUMBER DAYA MANUSIA (SDM) TENTANG PENGELOLAAN SEDIAAN OBAT PSIKOTROPIKA DI APOTEK WILAYAH SEBERANG ILIR KOTA PALEMBANG
Authors: Mellysa Mellysa , Simamora Sarmalina
Published: October 2019

Latar belakang: Sesuai dengan Permenkes No.3 tahun 2015 tentang tentang Peredaran, Penyiapan, Pemusnahan, dan Pelaporan Narkotika, Psikotropika, dan Prekusor Farmasi dan Peraturan Kepala Badan POM tentang PedomanTeknis Cara Distribusi Obat Yang Baik, maka setiap SDM di apotek wajib mengetahui dan menjalankan aturan terkait psikotropika dengan baik dan benar. Bila pengetahuannya baik, maka diharapkan semua apotek sudah menjalankan peraturan dan perundang-undangan tersebut dengan benar. Dari beberapa kasus dijumpai bahwa masih banyak praktek yang tidak benar terutama dalam pelayanan di apotek Penelitian ini bertujuan untuk menilai hubungan pengetahuan dan perilaku SDM di apotek tentang pengelolaan sediaan obat psikotropika yang benar sesuai dengan aturan yang berlaku

Metode: Penelitian ini merupakan penelitian non-eksperimental analitik dengan rancangan cross-sectional. Dilakukan pada beberapa apotek di wilayah Seberang Ilir Palembang, dengan jumlah responden sebanyak 147 orang yang merupakan SDM di Apotek, baik apoteker, TTK maupun tenaga yang lain. Data didapat dari kuisioner yang memuat sejumlah pertanyaan tentang pengetahuan dan praktek pelayanan psikotropika. Lalu diuji dengan kai-kuadrat.

Hasil: 124 responden memiliki pengetahuan yang tinggi sisanya rendah. Namun dari jumlah tersebut hanya 103 responden yang memiliki perilaku baik dan sisanya tidak baik. Dari analisis secara kai-kuadrat ternyata tidak ada hubungan yang proporsional antara pengetahuan dengan perilaku SDM apotek tentang pengelolaan obat psikotropika (P-value = 0,290).

Kesimpulan: Pengetahuan tentang berbagai peraturan dan perundang-undangan tidak berhubungan langsung dengan perilaku SDM di apotek, karena selain dipengaruhi oleh pengetahuan, perilaku SDM di apotek juga dipengaruhi oleh kebijakan Pemilik Sarana Apotek (PSA), ketersediaan psikotropika dan jenis kegiatan yang pernah dilakukan terkait psikotropika.
Interpretation of Dynamic Sediment Characteristic Based on Microtremor Analysis in Prambanan Region, Sleman Yogyakarta and Klaten Central Java, Indonesia
Authors: Hesti Hesti , Pramumijoyo Subagyo , Wintolo Djoko
Published: October 2019

Yogyakarta earthquake on Mei 27, 2006 caused Prambanan area get quite severe damage marked by damageof resident house and Prambanan Temple.This study was conducted using data of microtremorsingle station and Yogyakarta earthquake 27 May 2006. Data were analyzed with microtremor HVSR methods to get the value of the dominant frequency (fo) and amplication (Ao).Furthermore, calculated the value of peak ground acceleration (PGA) in the layers of sedimen bedrock and seismic vulnerability index (Kg) to get ground shear strain value. Prambanan area has a dominant frequency (fo) value ranges from 0.63-6.78 Hz. Ground shear strain valueranges from 3,55.10-5 - 4,04.10-2.Each of these factors is then mapped with a division of 4 zones is very high, high, medium, and low.Based on the analysis of all these factors Prambanan area is an area that is vulnerable to the risk of earthquake events.
Thermomagnetic Analysis of the Lake Matano Sediments and the Surrounding Lateritic Soils, South Sulawesi, Indonesia
Authors: Fajar Silvia Jannatul , Tamuntuan Gerald , Bijaksana Satria , Russell James
Published: October 2019

Thermomagnetic is one of the most commonly used measurements for determining the dominant type of magnetic mineral of samples. The measurement is separated into two distinct processes, heating and cooling. The sample susceptibility is measured for each temperature change, i.e., from room temperature to 700oC and vice-versa. Based on the thermomagnetic measurement results, magnetite is found to be the predominant magnetic minerals in Lake Matano sediments. The present study applied a correlation analysis technique on the results of thermomagnetic measurement of Lake Matano sediments and compared the result to that of lateritic soils to indicate whether a diagenetic process has occurred on the lake sediments.