bluuebunny/crossref_metadata_2025 huggingface dataset:
faktor risiko kemungkinan timbulnya diabetes melitus pada remaja di kabupaten sleman (skoring DM menggunakan findrisc)
Authors: Sahayati Sri
Published: November 2019

Diabetes merupakan penyakit tidak menular yang menjadi penyebab kematian di dunia. Di Indonesia jumlah kasus diabetes berada pada urutan kedua setelah hipertensi. Faktor risiko terjadinya diabetes adalah riwayat keluarga, konsumsi manis, aktifitas fisik, obesitas dan genetik. Diperkirakan pada tahun 2040 di dunia akan ada kenaikan kasus diabetes hingga mencapai angka 642 juta. Pola hidup yang sudah berubah akan mempengaruhi setiap generasi, dan ini pula yang sudah terjadi pada kalangan remaja di Indonesia. Remaja saat ini adalah orang dewasa pada sepuluh atau dua puluh tahun ke depan sehingga pemeriksaan dan kewaspadaan akan penyakit diabetes perlu dilakukan. FINDRISC adalah sebuat alat bantu untuk menentukan apakah individu termasuk orang yang mempunyai faktor risiko diabetes.  Penelitian ini bertujuan untuk mengetahui faktor risiko timbulnya diabetes pada kelompok remaja di Kabupaten Sleman. Desain penelitian ini adalah analitik korelasional, yaitu mencari hubungan antara faktor-faktor yang berisiko terhadap timbulnya DM (dengan menghitung skor DM menggunakan aplikasi FINDRISC) pada remaja. Hasil dari penelitian ini, variabel yang berhubungan dengan FINDRISC adalah riwayat keluarga (p val=0.000), kadar gula darah (p val=0.003), aktivitas fisik (p val=0.000), dan konsumsi sayur dan buah (p val=0.018). Sedangkan variabel yang tidak berhubungan adalah tekanan darah (p val=0,087), IMT (p val=0.320), dan lingkar perut (p val=0.082). Analisis multivariat diperoleh secara rata-rata, skor findrisc lebih tinggi 2,54 poin pada orang yang memiliki riwayat keluarga dibanding yang tidak memiliki riwayat keluarga, skor findrisc lebih rendah 3,49 poin pada orang yang memiliki aktivitas fisik yang tidak memiliki aktivitas fisik, dan secara rata-rata, skor findrisc lebih rendah 1,58 poin pada orang yang mengkonsumsi sayur buah dibanding yang tidak mengkonsumsi sayur buah. Kesimpulan penelitian ini riwayat keluarga, kadar gula darah, aktvitas fisik dan konsumsi buah dan sayur berhubungan dengan skor FINDRISC remaja.
hubungan kesiapan praktik mengajar dengan nilai ujian praktik real teaching pada mahasiswa semester VIII program studi DIV bidan pendidik universitas respati yogyakarta
Authors: Presty Marsela Renasari , Palifiana Dheska Arthyka , Margono Margono
Published: November 2019

Indeks Pembangunan Pendidikan Untuk Semua atau The Education for All Development Index (EDI) Indonesia tahun 2014 berada pada peringkat 57 dari 115 negara. Peningkatan mutu pendidikan merupakan sasaran pembangunan di bidang pendidikan nasional dan merupakan bagian integral dari upaya peningkatan kualitas manusia Indonesia secara menyeluruh. Tujuan Penelitian: Mengetahui hubungan kesiapan praktik mengajar dengan nilai ujian praktik real teaching pada mahasiswa semester VIII program studi DIV bidan pendidik Universitas Respati Yogyakarta. Penelitian yang digunakan adalah analitik observasional dengan pendekatan metode Cross Sectional. Populasi penelitian ini adalah mahasiswa semester VIII Program Studi DIV Bidan Pendidik sebanyak 172 mahasiswa. Teknik sampling yang digunakan adalah purposive sampling dengan jumlah sampel sebesar 128 mahasiswa. analisis data bivariat  menggunakan uji chi-square. Hasil perhitungan menggunakan analisis Chi-square diperoleh nilai ρ–value lebih besar dari taraf signifikansi (0,958 > 0,05) dan nilai X2 hitung lebih kecil dari X2 tabel dengan derajat kebebasan (df) 2 (0,085 < 5,991). Dapat disimpulkan bahwa tidak terdapat hubungan antara kesiapan praktik mengajar dengan nilai ujian praktik real teaching pada mahasiswa semester VIII Program Studi DIV Bidan Pendidik Universitas Respati Yogyakarta. Kesimpulan  dari penelitian ini tidak terdapat hubungan antara kesiapan praktik mengajar dengan nilai ujian praktik real teaching pada mahasiswa semester VIII Program Studi DIV Bidan Pendidik Universitas Respati Yogyakarta
An Efficient Technique for Scene Text Extraction from Videos
Authors:   Associate Professor, Department of CSE, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India., Geetha Dr. C. , Thilagavathy A. ,   Associate Professor, Department of CSE, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India., Nimmagadda Sudesh ,   Student, IV Year CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India., Madhusudhan Ravilla ,   Student, IV Year CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India., Chiruvella Saivignesh ,   Student, IV Year CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India.
Published: November 2019

Text Detection from natural scene images and videos is imperative for applications in real world domain analysis. However the text detection process isperplexingbecause of exigent scenarios that the text exhibit. The information present in the video is either perceptual or it is either in semantic form. Amongst the different content that exists in the video, the text information is a major important content that describes more about the nature of the video. The text present in the video can be categorized into Caption text and Scene text. The caption text is the artificial text that is easy to detect while scene text are natural text which is difficult to identify. In this paper text extraction in natural images by edge based method is implemented. The algorithms are estimated with a set of images of natural scenes that differ alongside the scope of font size, illumination, scale and text direction. Precision, accuracy and recall rates are determined to evaluate the performance. The proposed system worked for all difficult scenarios of varied text and gave better results than the existing methods.
Design and Performance Analysis of Low Power High Speed 4x4 CNTFET Binary Content Addressable Memory Array
Authors:   Research Scholar, ECE Department, JNTUK, Kakinda, India., Gangadhar* A. , Babulu K. ,   Professor, ECE department, JNTUK, Kakinda, India.
Published: November 2019

In this paper, Carbon Nanotube Field Effect Transistor (CNTFET) based Binary Content Addressable Memory (BCAM) array is presented. The CAM array comprises of address decoders, encoders, data drivers and BCAM cells. Performance analysis is carried for 4X4 BCAM array. Each BCAM cell is designed based on adiabatic logic with optimum CNTFET parameter for low power and high speed applications. The performance of proposed BCAM array is analyzed for average power, peak power and search delay. The proposed CNTFET based BCAM array show improvement in the performance compared to that of complementary metal oxide semiconductor (CMOS) based BCAM array. The average power and peak power of the proposed 4x4 CNTFET BCAM array are in the range of micro watt (μW) while it is in the range of milli watt (mW) for CMOS based BCAM array. The search delay of the proposed 4X4 CNTFET BCAM array is improved by 32.3% compared to that of CMOS based BCAM array. All simulations are conducted for both CNTFET and CMOS based BCAM cells, BCAM array in HSPICE at 32 nm technology.
The Effect of Nozzle-Opening Pressure on the Performance and Emission Parameters of a Diesel Engine Operated on Aphanizomenonflos Biodiesel-Titanium Dioxide (Tio2) Nanofluid-Diesel Blend
Authors:   Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Jayabalaji G. , Shanmughasundaram P. ,   Department of Automobile Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
Published: November 2019

In the present investigation, titanium dioxide (TiO2 ) nano-fluid (5%, 10%, and 15%) was blended with AphanizomenonFlos (AF) biodiesel (20%)-diesel (80%) blend. Among all blends, AFD-10TiO2 blend was optimum, as per the authors earlier investigation. Hence, to find the optimum operating parameter of AFD-10TiO2 , the nozzle opening pressure of the existing diesel engine was varied in the range of 160 bar to 220 bar in steps of 20 bar. AFD-10TiO2 /200 gave optimized results compared to other test fuels. BSFC forAFD-10TiO2 /200 decreased with an increase in injection pressure of AFD-10TiO2 .The BTE of the engine increased about 1.5% to 5.5% more than in the case of diesel, and AF-D blend respectively. The tailpipe emissions for AFD-10TiO2 /200such as CO, HC, smoke reduced by about 16%, 12%, and 18% respectively. The NOx emission forAFD-10TiO2 /200increased by about 14% more than that for diesel.
FPGA Implementation of Weighted Online Sequential Extreme Learning Machine for Data Classification
Authors:   Department of Electrical and Electronics Engineering, Siksha „O‟ Anusandhan Deemed to be University, Bhubaneswar, India., Rout Susanta Kumar , Swain Bhanja Kishor ,   Department of Electrical Engineering, Siksha „O‟ Anusandhan Deemed to be University, Bhubaneswar, India., Biswal Pradyut Kumar ,   Department of Electronics and Telecommunication Engineering, International Institute of Information Technology, Bhubaneswar, India.
Published: November 2019

To design an efficient embedded module field-programmable gate array (FPGA) plays significant role. FPGA, a high speed reconfigurable hardware platform has been used in various field of research to produce the throughput efficiently. A now-a-days artificial neural network (ANN) is the most prevalent classifier for many analytical applications. In this paper, weighted online sequential extreme learning machine (WOS-ELM) classifier is presented and implemented in hardware environment to classify the different real-world bench-mark datasets. The faster learning speed, remarkable classification accuracy, lesser hardware resources, and short-event detection time, aid the hardware implementation of WOS-ELM classifier to design an embedded module. Finally, the developed hardware architecture of the WOS-ELM classifier is implemented on a high speed reconfigurable Xilinx Virtex (ML506) FPGA board to demonstrate the feasibility, effectiveness, and robustness of WOS-ELM classifier to classify the data in real-time environment.
Laser Cutting of High Density Poly Ethylene (Hdpe) Pipes Pe100 using Co2 Gas Laser
Authors:   Department, Name of the Affiliated College or University Industry., Saleh Saleh Jassim , Qaisy Al- ,   Department, Name of the Affiliated College or University Industry., Karatas Cihan ,   Department, Name of the Affiliated College or University Industry.
Published: November 2019

High Density Poly Ethylene (HDPE) is one of the best materials for use in different environmental conditions. This is due to the mechanical, chemical and electrical specifications of this type, in terms of thermal insulation, lightweight, low cost, and most importantly the time factor. The molecular structure of the High Density Poly Ethylene material has made it the ideal choice for use in the pipe industry, and the transportation of various liquids, compared with the metal pipes and especially in the transportation of water, oil, and gas. And because of the frequent use, especially in the workplace. The need to use the cutting for these pipes has become necessary for the purpose of establishing networks for the transfer of fluids. In this research, the construction of holes in the pipes and measurements and angles of different for the purpose of taking advantage of these openings in the construction of networks. The laser was used as one of the modern cutting methods for the purpose of studying the efficiency and performance of CO2 laser cutting on High Density Poly Ethylene, especially on pipes, PN 16 PE 100, 110 mm diameter, and tested under a CO2 laser machine, by using a three different kinds of gases, such as the air and the nitrogen N2 , to estimate the changing and evaluate the quality of cutting with striation and kerf width of the High Density Poly Ethylene.
Replication and Automatic Updates of File Fragments in Cloud
Authors:   Post-graduate student, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Mallugari Siri , Ohri Mrs Kriti ,   Assistant Professor, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Poojitha N. Sai ,   Post-graduate student, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.
Published: November 2019

Generally, in cloud computing the data is outsourced to controls of third party, which may lead to issue of securitys. The data in cloud may lost because of attacks by unknown users and nodes inside the cloud .Therefore, the data within in the cloud must be kept in secured state by using different techniques .In this paper, we propose division and replication of data within in the cloud to improve optimal performance and security .In the present work we separate a file into multiple fragment sand replicate fragments on different nodes in the cloud. Each node, should store fragment only once. Therefore, no information can be get by the attacker. The node storing the fragments within the cloud are separated using a method called T-colouring, which avoids the attacker to find the location of nodes that contain related fragments. The traditional cryptographic techniques for data security are not used in this work, so that computationally expensive methodologies are reduced. The more advanced feature in this work is an automatic update of file fragments on nodes whenever any changes are done by the third person on that particular node.
Generation of Telugu Emotional Speech from Neutral Speech by using Voice Morphing Algorithm
Authors:   Associate professor in Audisankara College of Engineering and Technology, Gudur, Nellore, (Andhra Pradesh), India., Nagaraju D. , Ramasree Dr. RJ ,   Professor, Dept of Computer Science, Rashtriya Sanskrit Vidyapeetha, Tirupati, Andhra Pradesh, India., Hari N. ,   Students in Audisankara College of Engineering and Technology, Gudur, Nellore, (Andhra Pradesh), India., Kalyan V Pavan ,   Students in Audisankara College of Engineering and Technology, Gudur, Nellore, (Andhra Pradesh), India., Shameer Sk ,   Students in Audisankara College of Engineering and Technology, Gudur, Nellore, (Andhra Pradesh), India.
Published: November 2019

Voice morphing is the conversion of one voice signal into another voice signal i.e. source voice signal into target voice signal. Like image morphing, the aim of speech morphing is to preserve the pooled properties of the source signal and target signal during the generation of a smooth conversion between them. The major properties of speech signal are its pitch and envelope information. Pitch, duration and intensity of speech signal parameters are considered to get emotional voice from neutral or emotion. We are using TD-PSOLA technique to extract the prosodic parameters and during the training phase.
An Achromatic Quarter-Wave and Half Wave Phase Retarder Combination Operating in Near Infrared (NIR) Region
Authors:   Department of Electronics & Communication Engineering, Global Institute of Management and Technology, Krishnagar, India., De Saswati , Mukhopadhyay Nilanjan ,   Department of Electronics & Communication Engineering, Global Institute of Management and Technology, Krishnagar, India.
Published: November 2019

Optical phase retarders are major components in design of different optical systems. Normally these retarders exhibit retardance which varies with wavelength. But achromatic phase retardation is necessary in optical system design. These achromatic phase retarders can be designed using different waveplates, sub-wavelength grating (SWG), liquid crystals, and polymers etc in different wavelength ranges. Present communication focus on designing of quarter-wave phase retarder in the near infrared range (NIR) with waveplates of different birefringent materials having different thicknesses. This system in NIR range shows comparable performance with those developed with SWGs and it also removes some drawbacks. The proposed system deals with an achromatic combination of four birefringent plates in 800–2000 nm range using Sapphire, CdSe, Calcite, and Rutile crystals having good transmittance in the NIR range. This system can also be used as a half wave phase retarder in NIR.
Nonlinear Signal Processing Method Detects Emotional Changes Induced by Indian Classical Music
Authors:   xDepartment of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India., M Sushrutha Bharadwaj , Hegde Shantala ,   Music Cognition Laboratory, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India., Dutt D. Narayana ,   Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India., Rajan Anand Prem ,   School of Biosciences and Biotechnology, VIT University, Vellore, India.
Published: November 2019

Music is one of the major activities that alters the emotional experience of a person. Musical processing in the brain is a complex process involving coordination between various areas of the brain. There are less number of studies that focus on analyzing brain responses due to music using modern signal processing techniques. This research aims to apply a nonlinear signal processing technique i.e. the Recurrence Quantification Analysis (RQA) technique to analyze the brain correlates of happy and sad music conditions while listening to happy and sad ragas of North Indian Classical Music (NICM). EEG signals from 20 different subjects are acquired while listening to excerpts of raga elaboration phases of NICM. Along with behavioural ratings, the signals were analyzed using the Recurrence Quantification Analysis technique. The results showed significant differences in the recurrence plot and recurrence parameters extracted from the frontal and fronto temporal regions in the right and left hemispheres of the brain. Therefore, from the results, it can be concluded that RQA parameters can detect emotional changes due to happy and sad music conditions.
Gas Separation Membranes upon Production of Functional Berry Juice
Authors:   Federal State Budget Educational Institution of Higher Education “Michurinsky State Agrarian University”, Michurinsk, Russian Federation., Zavrazhnov Anatoli , Kuznetsova Ekaterina ,   Federal State Budget Educational Institution of Higher Education “Michurinsky State Agrarian University”, Michurinsk, Russian Federation.
Published: November 2019

Nowadays manufacturing of new-generation food, including functional products, is especially important. Drinks based on fruits and berries are considered at present as optimum form of food required for organism replenishment with biologically active components and vitamins aiming at organism recovery. The retention of valuable components of fruits and berries is of great concern during such production. In order to produce functional juices, it is required to decrease oxygen amount upon their production in order to prevent destructive changes in drink, to improve its quality, to perform subsequent procedures and preservation. It is proposed to modify deaeration and to apply advanced equipment: deaerator with gas separation membrane which would allow to remove higher oxygen amount in comparison with the existing equipment while producing juices of predefined quality with high content of vitamins. The experiments were carried out with freshly squeezed black current juices using a vacuum unit, an Expert-009 analyzer of dissolved oxygen with optical sensor, a gas separation membrane. The juice quality was determined by its content of ascorbic acid (vitamin C) since it is destroyed under impact of oxygen. The content of ascorbic acid during storage was measured on juices produced by different deaeration procedures. The obtained experimental results proved efficiency of membrane application during juice production showing high content of vitamins. The content of ascorbic acid during storage was higher in the juice after deaeration using gas separation membrane in comparison with the juice without treatment and with the juice after vacuum deaeration. Therefore, the most efficient method to achieve the best removal of oxygen from juice is preheating of juice to 65°C with subsequent application of deaerator with gas separation membrane, subsequent packing and cooling of final product.
DNA Examination of Polymorphism on Two Lines of the Yakut Breed Stallions using the RAPD-PCR Method
Authors:   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia., Kozlova L.G. , Osipov V.G. ,   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia., Nikolaeva N.A. ,   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia., Reshetnikov A.D. ,   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia., Barashkova A.I. ,   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia., Shadrina Y.L. ,   FRC YaSC SB RAS, M.G. Safronov Yakut scientific research institute of agriculture, Yakutsk, Russia.
Published: November 2019

Herd and beef horse breeding are traditional and profitable livestock industries in the Republic of Sakha (Yakutia). Three breeds are propagated in the republic: Yakut, Prilensk and Megezhek. Objective: to evaluate the genetic homogeneity of equine micro-populations in order to determine the degree of their genetic similarity. A DNA isolated from hair follicles of 2 horse lines have been tested using 18 primers. According to obtained data, the primers OPA 07, OPA 09, OPA 10, OPA 18 and ODS 18 are more polymorphic than other 13 primers. Most of the primers amplify fragments from 350 to 1,000 bp in size. As an exception the sequence of primer OPA 02 is absent in 2 lines of horses. Coincidently, PRA 06 primer fragment of 1200 bp presents only in the mare line of the stallion named Kuobakh. There is a uniform distribution of fragments over the entire range of lengths in the remaining samples of 2 stallion lines. Random Amplification of Polymorphic DNA (PARD) analysis can serve as a kind of express method a method of genetic polymorphism, which is especially relevant for poorly studied animal populations, as well as a source of unique locus-specific markers.
Car Parking System using ALPR and CPS
Authors:   Assistant Professor, SRM Institute of Science and Technology, Chennai, India., Madhuram M. , Anandan, Logitha ,   UG Scholar, SRM Institute of Science and Technology, Chennai, India., K Harika ,   UG Scholar SRM Institute of Science and Technology, Chennai, India., hanumayamma Avula ,   UG Scholar SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.
Cancer Curing Medical Leaves using Texture Image Characteristics
Authors:   School of Information Technology and Engineering, Vellore Institute of Technology Vellore, India., Deepika A. Hema , Elango N. M. ,   School of Information Technology and Engineering, Vellore Institute of Technology. Vellore, India.
Published: November 2019

The present day frame work of medical science of India and abroad clearly signals a drift inducing a general direction and turdencoy towards ayurvedic the medicines and formulations over other conventional medical streams. As a result elaborate and heightened efforts are undertaken to revamp the long forgotten herbal formulations over practiced by the great ayurvedic acharyas of this sub continent which acclaimed trustworthiness, effectiveness, and a sure cure for various diseases when the conventional medicines failed to make a headway. The side effects produced by conventional medicines were found to be in excess, where as the herbal formulations were found to have no significant side effects, As such the modern scientists, physicians, and even herbalists are streamlining their effort to formulate herbal medicines and drugs to cure various dreaded diseases like cancer. This research work proposes an innovative and novel process of analyzing cancer curing medical leaves that are available in India .The statistical texture analysis of the leaf is formulated by correlation, homogeneity, contrast, entropy, and smoothness and the result of such analysis is shown.
Gaussian and Non-Gaussian Autoregressive Time Series Models with Rainfall Data
Authors:   Research scholar, Department of Computer Science, Guru Kashi University Punjab, India., Kaur Sukhpal , Rakshit Dr. Madhuchanda ,   Assistant Professor, Department of Computer Science, Guru Kashi University Punjab, India.
Published: November 2019

The Gaussian and non- Gaussian autoregressive models are used in this paper for analyzing time series data. The autoregressive time series models with various distributions are considered here for analyzing the annual rainfall of Punjab, India. Three different types of autoregressive models are applied here for analyzing data namely autoregressive model with Gaussian, Gamma and Laplace distribution. For the goodness of fit the chi – square test is applied and the best fitted distribution is obtained for the data. Next the stationarity of data is checked, after that models are applied on data for comparing three distributions of AR models and lastly the best fitted model is obtained. The residual checking of selected model is also discussed and forecast the best fitted model based on simulated response comparison.
Effect of Osmotic Dehydration on Physicochemical Properties of Pineapple using Honey, Sucrose and Honey-Sucrose Solutions
Authors:   Amity Institute of Food Technology, Amity University, Noida, India., Sethi Kashika , Kaur Mandeep ,   Amity Institute of Food Technology, Amity University, Noida, India.
Published: November 2019

Demands for processed food products are rising worldwide and, consumers nowadays have adopted a healthy lifestyle and are always looking for the products which are advantageous for their health and have the characteristics and taste of a fresh commodity at the same time. Many techniques or combination of techniques have been tried to expand the shelf life of the perishable food commodities. One of the simplest methods which do not require sophisticated equipment is osmotic dehydration. Osmotic dehydration is an excellent phenomenon in which removal of water happens from an area of higher concentration to an area where concentration is lower through a membrane known as a semi-permeable membrane. Since osmotic dehydration lowers the water activity of food item; it has found broad application in the field of food material preservation. In this study pineapple cubes were dehydrated with osmotic dehydration followed by tray drying at 60℃ were assessed for physicochemical properties such as moisture, ash, rehydration ratio, ascorbic acid, water activity, color parameters and sensory properties. Sucrose solution, honey solution and honey-sucrose solution were used as osmotic agents. Duncan’s test was used to analyze the obtained data. Results showed that the pineapple sample cubes treated with honey sucrose solution at 50⁰C temperature were found to have better rehydration characteristics and lowest moisture content value as compared to the other samples. Sensory evaluation of all the samples revealed that highest scores were obtained by the sample containing both sucrose and honey (50⁰C). Highest ascorbic acid content after the osmotic dehydration was found in sample with sucrose and honey. Hence, sample with combination of sucrose and honey solution at 50⁰C proved to be the best in terms of nutritional quality, shelf stability and all other tested parameters. Therefore, many products with enhanced shelf life can be prepared using this rapid and economical technique.
Impact of Process Variations on Delay in Carbon Nanotube Based Bus Interconnects At Different Technology Nodes
Authors:   ECE department, Research scholar in OSMANIA University and Assistant professor in GITAM University, Hyderabad, Telangana, India., kumar Ch. Praveen , Rao E. Srinivasa ,   ECE department, Vasavi College of Engineering, Hyderabad, Telangana, India., Chandrasekhar P. ,   ECE department, OSMANIA University, Hyderabad, Telangana, India
Published: November 2019

This paper presents the impact of process variations in carbon nanotube based advanced bus interconnects such as single walled carbon nanotube (SWCNT), multi walled carbon nanotube (MWCNT) and mixed carbon nanotube bundle (MCB). The impact of temperature variations on paracitics of interconnects for variable interconnects at different technology nodes is analyzed. From the analysis, it reveal that the mixed bundle carbon nanotube offering the lower paracitics even higher temperatures compared to SWCNT and MWCNT which leads to lower delay and crosstalk effect when it is used in bus interconnects. Further we have also done delay analysis by changing the bundle area, number of shells and metallic ratio of three interconnect structures with the insertion of obtained parasitics using empirical formulas. It is proven that the mixed CNT (MCB) interconnect structures offered a lesser delay compared to other CNT interconnect structures. All the analysis has been done using MATLAB at 22nm and 32nm technology nodes.
A Comprehensive Framework for Ontology Based Classifier using Unstructured Data
Authors:   Professor ,Department of Computer Science, School of Infor- mation Technology, Madurai Kamaraj University, India., Thangaraj* Dr.M , Sivakami Ms. M ,   Research Scholar Department of Computer Science, School of Information Technology, Madurai Kamaraj University, India.
Published: November 2019

The knowledge contained within the natural language data can be used to build expert systems. Classifying unstructured data using ontology and text classification algorithms to extract information is one way of approaching the problem of building intelligent systems. One major problem with text processing is most data generated is unstructured and ambiguous, as, data with a structure helps to identify meaningful patterns and eventually exhibit the latent knowledge. Ambiguity in natural language affects accuracy of categorization. Also, Natural Language Processing techniques when combined with semantic data modeling through ontological knowledge will also solve the problem of domain knowledge representation thereby enabling improved data classification facilities, particularly in large datasets where number of features scale to unmanageable proportions. In this paper, the domain knowledge is presented as a knowledge graph, derived from the semantic data modeling. Further, to achieve better Multi Class classification, Multinomial Naive Bayes algorithm is applied to categorize items in their respective classes. For the experiments, Data about various news groups were used for testing the accuracy of the model. Experimental results have proved that the proposed classifier performs better compared to existing systems.
Symmetrically Modified Laddered H Bridge Multilevel Inverter with Reduced Configurational Parameters
Authors:   Department of EEE, Realtime Adaptive Control Engineering Laboratory, Rajalakshmi Engineering College, Chennai, India., D* Shyam , K Premkumar ,   Department of EEE, Realtime Adaptive Control Engineering Laboratory, Rajalakshmi Engineering College, Chennai, India., T Thamizhselvan ,   Department of EEE, Rajalakshmi Engineering College, Chennai, India., Ali A Nazar ,   Department of EEE, Rajalakshmi Engineering College, Chennai, India., M Vishnu Priya ,   Department of ECE, Saveetha School of Engineering, Chennai, India.
Published: November 2019

Multilevel Inverters are incorporated in this modern world for medium and high-level applications for its adaptability to improve power quality problems. Its necessity is growing big in developing newer techniques and topologies for efficient implementation of DC to AC conversion system. Developing the MLI using less active switching components, less switching losses on active devices and improvement of number of voltage levels is always a tough task. A step forward to solve this problem is to modify the existing H-bridge multilevel inverter to produce Symmetrically Modified Laddered H-Bridge Multi-level Inverter (SMLHB -MLI). Comparative analysis has been carried out with other reputed existing MLI topologies to find out the performance and reduces complexity problem in inverter based on reduced switching methods in inverter side, reduction of active switching components and power diodes.
Variation in Radio Frequency Power and Field Intensity Value on Fixed Distance from Different Mobile Base Stations in and Around Symbiosis International (Deemed University), Lavale, Pune
Authors:   Department of E&TC Engineering, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra-India, Tupe-Waghmare* Priyanka , Parihar Sushma ,   Department of E&TC Engineering, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra-India, Jain Aditya ,   Department of E&TC Engineering, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra-India
Published: November 2019

The variations of radio frequency power on fixed distance from different mobile base stations on five selected locations in Pune, India have been studied and presented in this article. In this study the field locations with various exposure rates are selected according to the number of antennas installed on a mobile base station, height and operating frequency of the antenna respectively. All the measurements have been carried out with the help of R&S FSH4 with R&S®TS-EMF hand held spectrum analyzer. The experimental results demonstrated that the radio frequency radiation (RFR) emission of all frequency bands (GSM 900/1800, CDMA 1800) is far less than the recommended guidelines of ICNIRP.
CEIR based Smartphones Anti-stolen System: SASSCEIR
Authors:   Center for Development of Telematics, New Delhi- India, Bediya* Arun Kumar , Kumar Dr. Rajendra ,   Department of Computer Science, Jamia Millia Islamia, New Delhi-India
Published: November 2019

Mobile stolen has become a big problem all over the world. International Mobile Equipment Identity (IMEI) is a unique number which used to identify mobile device throughout the world. An IMEI is to be made non editable number which cannot be reprogrammed. Central Equipment Identity Register (CEIR) is systems that registers the stolen/theft mobiles and update all TSP’s local EIR with blacklisted IMEI. Many countries have enabled CEIR system to terminate mobile stolen problem. Despite of many features CEIR is not able to stop working of smartphone on Wi-Fi networks. Current CEIR system block the mobile devices by placing stolen devices in blacklist hence telecom services get disabled for blacklisted mobiles. This paper represents capacity of CEIR deployment in telecommunication network system and demonstrates the existing problem in CEIR. This paper also focuses on our proposed solution SASSCEIR, for complete blocking of smartphones.SASSCEIR will help to alleviate the stealing of smartphones by making them completely futileto use. We have performed test cases to analyze SASSCEIR concept by developing android based apps prototype of SASSCEIR and mobile side TESTSASSCEIR app to communicate with SASSCEIR app.
Destructive Communication in t he Information Space
Authors:   Russian New University, Moscow, Russia., Ganina Elena Victorovna , Malyugina Nadezhda Mihailovna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Polyakova Rauza Il'darovna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Fedorova Elena Alekseevna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Bykova Olga Nicolaevna ,   Plekhanov Russian University of Economics, Moscow, Russia.
Published: November 2019

Paper The article is devoted to the analysis of the functioning of destructive communication in the information space. It has been established that the main element of the communication process is the transmitted information, which comes in the form of text messages. The authors have determined that the language of Internet communication has certain features. This is due to the fact that several character systems can be used at the same time. It has been proved that a model of a social and communication network in the matter of determining its elements may have a certain discrepancy with the general provisions of the network approach. This mismatch can be addressed by verifying that these elements match the key characteristics of the links that create the network format. The reliability of the presented procedure for the analysis of destructive communication is confirmed by the fact that it reduces the number of analyzed objects by the factor of 2.5 and moves from the level of post-fact response to the level of the forecasting and taking preventive measures.
EARMGA and Apriori Algorithm's Performance Evaluation for Association Rule Mining
Authors:   Department of Virtualization, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India, Singh* Sandeep Pratap , Talapula Dharani Kumar ,   Department of Virtualization, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.
Published: November 2019

Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In this paper two association rule mining algorithms were analyzed, one is popular Apriori algorithm and the other is EARMGA (Evolutionary Association Rules Mining with Genetic Algorithm). Comparison of these two algorithms were experimentally performed based on different datasets and different parameters like Number of rules generated, Average support, Average Confidence, Covered records were detailed.
A New Technique for Multiple-Path Creation in AODV Protocol Based on Composite Criterion Consisting of the Factors of Energy, Traffic Load and Stability of Nodes
Authors:   department of Electrical and Computers Engineering, Higher Technological Institute/10th of Ramadan, Cairo, Egypt., Nouh May S. , Youssef Mhamed I. ,   department of Electrical Engineering, Fac. of Engineering, Al-Azhar Unive., Cairo, Egypt., Marei Mahmoud I. ,   department of Computers and Systems Engineering, Fac. of Engineering, Al-Azhar Unive., Cairo, Egypt.
Published: November 2019

Not long ago mobile ad hoc networks (MANET) became one of the most recent and famous trends in the field of wireless communications. This is because, it permits the mobile appliances for communication with each other at any instant anyplace without the need of pre-defined infrastructure or centralized management. As the absence of centralized administration, the free movement of appliances and the limited resources of MANET, the designing of routing protocols have been becoming the main fundamental challenge that meet MANET till now. Furthermore, nodes with heavily traffic load may exhaust their energy in routing others packets resulting in unstable network and hence performance deterioration. In this essay we present a new version of one of the well prominent reactive routing protocols named Ad Hoc On Demand distance Vector (AODV). The suggested version aims to make the original AODV more efficient in terms of the energy consumption of nodes, traffic load distribution among nodes and routes stabilization. The suggested scheme is called, Energy efficient, Load balanced and Stabilized Multi routes- AODV (ELSM-AODV), where the paths selection is based on a composite criterion, named Node Efficiency Factor (NEF) which contain all factors that have direct impact on the performance level and life time of MANET (e.g. energy, speed, distance and traffic load of nodes). Performance assessment and comparison between suggested schema (ELSM-AODV) and standard AODV has been performed using network emulator NS2. Simulation results evidenced that performance of the suggested protocol outperform standard AODV from point of view: correct packets delivery ratio, end to end delay time, normalized routing load and nodes energy consumption.
Data Extraction and Sentimental Analysis from “Twitter” using Web Scrapping
Authors:   B. Tech student, Department of Computer Science and Engineering Vellore Institute of Technology, Vellore India., Jain Mehul , Vaish Sushmit ,   B. Tech student, Department of Computer Science and Engineering Vellore Institute of Technology, Vellore India., Patil Manas ,   B. Tech student, Department of Computer Science and Engineering Vellore Institute of Technology, Vellore India., Gawas Dr. Mahadev A. ,   Associate Professor Department of Computer Science and Engineering, VIT Vellore India completed his Ph. D from the Department of Computer Science & Information Systems, BITS Pilani, India
Published: November 2019

In this paper , we attempt to do the sentimental analysis of the 2016 US presidential elections. Sentimental analysis requires the data to be extracted from websites or sources where people present their opinions, views ,complaints about the subjects that need to analyzed .Furthermore, it is necessary to ensure that the sample size of the data is large enough to get conclusive results .It is also necessary to ensure that the data is cleaned before it is used to make predictions. Cleaning is done using common techniques like tokenization, spell check ,etc. Sentimental Analysis is one of the by-products of Natural Language Processing . This paper includes data collection as well as classification of textual data based on machine learning.
Effluent Treatment Technologies And Cost Research
Authors:   Department of Chemical Engineering, Hindustan Institute of Technology & Science, Chennai, Tamilnadu, India., G Vijay Samuel , Srinivas T. ,   Department of Chemical Engineering, Hindustan Institute of Technology & Science, Chennai, Tamilnadu, India.
Published: November 2019

The Common Effluent Treatment Plants (CETP) minimizes the pollution from industrial effluents. This plant monitors the reduction of physical and biochemical parameters such as total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), dissolved oxygen (DO), heavy metals etc. The Sequential Batch Reactor (SBR), a variation of the ASP, combines all the treatment steps and processes into a single basin. An improved SBR process is Attached Growth Batch Reactor (AGBR) technology that provisions for microbial growth on the settled media/bed to treat the industrial wastewater using enzymes. This technology, when used to treat polluted river water, achieved about 90% of reduction of wastewater parameters. Hence the same is envisioned for the treatment of industrial effluent. In all the above methods the sludge settlement occurs. It contains biodegradable carbon content which could be used as feed for Biogas Digesters to produce Methane. The present study aims at examining the benefits of combining AGBR and Biogas Digester to implement the 3Rs (Reduce, Recycle, Reuse) [1].
FPGA Implementation for the Linking of Cell Tracks Using New Structure Algorithm
Authors:   Research Scholar, Dept. of ECE, Mewar University, Chittorgarh, Rajasthan, India., Javeed Mohammad , Jabeen Dr. Fathima ,   Professor, Research Supervisor, Dept. of ECE, Mewar University, Chittorgarh, Rajasthan, India.
Published: November 2019

In microscopy images automatically tracking of living cells is an important and challenging problem. So this paper will concentrate on global tracking algorithm, which links cell outlines generated by a segmentation algorithm into tracks. This is attained eventually finding those tracks which provide for the biggest can be allowed to build with probabilistic persuaded scoring function, utilizing another structure calculation. This paper provided for the vitality about advanced image transforming and the noteworthiness for their usage ahead FPGAs should accomplish exceptional performance, this fills in addresses of the execution of image transforming calculations in average filter, morphological, convolution furthermore smoothing operation and then edge identification on FPGA utilizing VHDL language.
Turbine Mode Performance Evaluation of Centrifugal Pump
Authors:   Mechanical Engineering, PhD scholar, Raffles University, Neemrana, Rajasthan, India., Aidhen Mr.Ajit Singh , Malik Dr.Sandeep ,   Engineering & Technology, Raffles University, Neemrana, Rajasthan, India., Kishanrao Dr.Chavan Dattatraya ,   Mechanical Engineering, Siddhant College Of Engineering, Pune, Maharashtra, India.
Published: November 2019

This paper presents the performance evaluation results of a radial discharge centrifugal pump obtained through experimentation and CFD simulation. The paper also presents a brief theory behind the difference in the performance of a centrifugal pump operated in pump mode and turbine mode. The pump CFD simulation is performed with Star CCM+ simulation software. The pumps studied are both mono block radial discharge centrifugal pumps with rated speed of rotation per minute as 1400 and 2800 and specific speeds 20.65 (m,m3/s) and 35.89 (m,m3/s) respectively. The CFD results were first validated for pump mode by comparing them with the manufacturer provided performance curves. The results of CFD simulation for turbine mode operation are then compared with experimentally obtained results. The paper also presents a brief theory about PAT concept.
Research Package Efficiency General Cargo
Authors:   PhD Associate Professor of technical science, Transport Logistics and Service Department, Tashkent Railway Engineering Institute, Tashkent, Uzbekistan, Daurenbek* Ilesaliev , Avaz Merganov ,   Head of Research, Innovation and Training of Scientific and Pedagogical Staff Tashkent Railway Engineering Institute, Tashkent, Uzbekistan
Published: November 2019

The main reasons of the countries of the former Soviet Union lagging behind economically developed countries in the field of delivery of packaged goods is the lack of feasibility studies and specific organizational measures for the introduction of packaged transportation. Both of these circumstances acquire a special meaning and significance in the conditions of developing a market economy in the country. The purpose of the article is to show that the delivery of packaged goods is influenced by various factors, such as the size of vehicles, type of transport containers, methods of stacking cargo units on transport containers, etc., which are described in the article. The study applies economic criteria and principles of transport logistics and defines the areas of application of transport packaging for the delivery of packaged goods on the basis of specific technical and economic indicators. As a result of the study, the fields of application of transport packaging are determined to depend on the given parameters of packaging cargo. The necessity of a full feasibility study of packaged transportation is shown, as well as the costs of using transport packaging, as well as the cost of forming a transport package should be taken into account.