bluuebunny/crossref_metadata_2025 huggingface dataset:
A Systematic Learning on Variety of Recommender Systems for Online Commodities
Authors:   Assistant Professor, Department of Computer Science and Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India., Daniel D. Anand Joseph , Meena Dr. M. Janaki ,   Professor, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
Published: August 2019

In a sophisticated high-end product market, all firms often come up with a vast number of goods to partake the market shares. Owing to the availability of enough information of various products that enters the market or due to lack of right information, customers are prone to the state of dilemma in comparing and choosing the most appropriate ones. In most of the cases, the product specifications are mentioned, still whether these features suit the customers need is a concern. Online reviews tend to benefit the consumers and the goods developers. Here again, finding out the more supportive reviews become a challenge. Considering these factors, this article intends to be particular in reviewing the existing evaluation strategies and recommender systems that have grown progressively favorable in present era and are employed widely for casual to commercial items.
Revolution by using Optical Character Recognition Technique to Identify Registered Number Plate
Authors:   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India., Dabholkar Miss. Rucha S. , Phakade Mr. S. V. ,   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
Published: August 2019

From past few years, the most interesting research topic is ANPR which registration of vehicles by their number plates. The purpose of this system is used for identifying number plate of numerous automobile. From automobile images, only number plate is extracted using binary mask method. And Optical Character Recognition (OCR) technique will be done with segmentation method. In segmentation, the numbers or characters on number plate are separated into small parts which is used to recognize using template matching in optical character recognition algorithm. As a result, the recognized number plate will be displayed. Also the result of this number plate is registered or not registered number plate will be displayed as a result.
Multi-Focus Fused Image using Inception-Resnet V2
Authors:   Department of CSE, JNTUA, Ananthapuramu, Andhra Pradesh, India., Sobhitha M. , Bindu C. Shoba ,   Department of CSE, JNTUA, Ananthapuramu, Andhra Pradesh, India., Kumar E. Sudheer ,   Department of CSE, JNTUA, Ananthapuramu, Andhra Pradesh, India.
Published: August 2019

Multi-focus image fusion is the process of integration of pictures of the equivalent view and having various targets into one image. The direct capturing of a 3D scene image is challenging, many multi-focus image fusion techniques are involved in generating it from some images focusing at diverse depths. The two important factors for image fusion is activity level information and fusion rule. The necessity of designing local filters for extracting high-frequency details the activity level information is being implemented, and then by using various elaborated designed rules we consider clarity information of different source images which can obtain a clarity/focus map. However, earlier fusion algorithms will excerpt high-frequency facts by considering neighboring filters and by adopting various fusion conventions to achieve the fused image. However, the performance of the prevailing techniques is hardly adequate. Convolutional neural networks have recently used to solve the problem of multi-focus image fusion. By considering the deep neural network a two-stage boundary aware is proposed to address the issue in this paper. They are: (1) for extracting the entire defocus info of the two basis images deep network is suggested. (2) To handle the patches information extreme away from and close to the focused/defocused boundary, we use Inception ResNet v2. The results illustrate that the approach specified in this paper will result in an agreeable fusion image, which is superior to some of the advanced fusion algorithms in comparison with both the graphical and objective evaluations.
Minimization of NCL in Dense Femtocellular Networks
Authors:   Department of Electronics & Communication Engineering, National Institute of Technology, Kurukshetra, 136119, India, Kumari Savita , Singh Brahmjit ,   Department of Electronics & Communication Engineering, National Institute of Technology, Kurukshetra, 136119, India.
Published: August 2019

Dense femtocells are the ultimate objective of the femtocellular network deployment. Handover in a mobile cellular communication will turn into an increasingly critical issue as cell size reduces. The suitable neighbor cell list is the key component for successful handover in these handover cases. In this paper, we introduce an algorithm for femtocell-to-femtocell handover to make the suitable number of neighbor cell list. In the proposed scheme, the nearby same frequency cells are identified and removed from the Neighbor cell list. The hidden femtocells constituting the nearby femtocells are enhanced in the Neighbor cell list. The simulation results demonstrate that the proposed scheme yields the least number of neighbor cell list.
Seismic Vulnerability Assessment of Buildings in Surat City of western India
Authors:   Assistant Professor, SAL Institute of Technology & Engineering Research, RK University, Rajkot, India., Parmar Abhijitsinh , Patel Vikram M ,   Professor and Principal, AIIE, Ahmedabad, India., Singh A. P. ,   PhD, Department of Geophysics Kurukshetra, University, Haryana, India.
Published: August 2019

In Surat city, the second largest city of Gujarat, 6930 buildings had been rapidly screened (RVS). RVS is known as a sidewalk evaluation, in which a skilled screener inspect a structure visually in order to recognize characteristics that influence the building's seismic output, for example the construction type, seismic zones, soil, and irregularities, etc. This study of RVS is based on the checklists in a RCC and Masonry Performa. Other significant structure information, including building occupancy and possible structural risks, are also collected during the screening. A performance score of the structure is calculated based on RVS values that correspond to these characteristics. In comparison with a cuts-off rating, the structure rating determines if a construction has possible vulnerabilities to be evaluated by a skilled engineer. We applied the Gaussian distribution methodology for cut off score in this study. The Gaussian distribution is also commonly called the normal distribution. Though, there are varied constructions practices, 74% constructions are RCC and 26% masonry structures. The performance results of surveyed buildings show that about 80 percent of both structures have high quality because they have a performance rating > 60. The survey’s results also indicate that buildings practice have been changed from masonry to RCC after 2001 Bhuj earthquake (M7.7). Due to design, RCC buildings will have more shear capacity to tolerate the seismic shaking in comparison to the masonry buildings.
Advanced Tamil POS Tagger for Language Learners
Authors:   Professor and Controller of the Examinations at Hindustan Institute of Technology and Science, Chennai, India,, Udhayakumar Dr. A. , Rajasekar M. ,   Research Scholar at Hindustan Insitute of Technology and Science, Chennai, India.
Published: August 2019

In the emerging technology Natural Language Processing, machine translation is one of the important roles. The machine translation is translation of text in one language to another with the implementation of Machines. The research topic POS Tagging is one of the most basic and important work in Machine translation. POS tagging simply, we say that to assign the Parts of speech identification for each word in the given sentence. In my research work, I tried the POS Tagging for Tamil language. There may be some numerous research were done in the same topic. I have viewed this in different and very detailed implementation. Most of the detailed grammatical identifications are made for this proposed research. It is very useful to know the basic grammar in Tamil language.
Optimal Classification of Lung Cancer Related Genes using Enhanced reliefF Algorithm and Multiclass Support Vector Machine
Authors:   School of Computing and Information Technology, Reva University, Bangalore, India., Patil Ashok K , Patil Siddanagoda S ,   Agril Statistics, Applied Mathematics & Computer Science, University of Agricultural Sciences, Bangalore, India., Prabhakar M ,   School of Computing and Information Technology, Reva University, Bangalore, India
Published: August 2019

Currently, the automatic lung cancer classification remains a challenging issue for the researchers, due to noisy gene expression data, high dimensional data, and the small sample size. To address these problems, an enhanced gene selection algorithm and multiclass classifier are developed. In this research, the lung cancer-related genes (GEO IDs: GSE10245, GSE19804, GSE7670, GSE10072, and GSE6044) were collected from Gene Expression Omnibus (GEO) dataset. After acquiring the lung cancer-related genes, gene selection was carried out by using enhanced reliefF algorithm for selecting the optimal genes. In enhanced reliefF gene selection algorithm, earthmover distance measure and firefly optimizer were used instead of Manhattan distance measure for identifying the nearest miss and nearest hit instances, which significantly lessens the “curse of dimensionality” issue. These optimal genes were given as the input for Multiclass Support Vector Machine (MSVM) classifier for classifying the sub-classes of lung cancer. The experimental section showed that the proposed system improved the classification accuracy up to 3-10% related to the existing systems in light of accuracy, False Positive Rate (FPR), error rate, and True Positive Rate (TPR).
Multi-modal Iris Recognition System based on Convolution Neural Network
Authors:   Head of Curriculum Development Center at National Institute of Technical Teacher Training & Research, Chandigarh, India., Choudhari Gajanan , Mehra Rajesh ,   Lecturer in Electronics at Government Women Residence Women Polytechnic Tasgaon , Maharashtra, India., Shallu  ,   Lecturer in Electronics at Government Women Residence Women Polytechnic Tasgaon , Maharashtra, India.
Published: August 2019

Iris is most promising bio-metric trait for identification or authentication. Iris consists of patterns that are unique and highly random in nature .The discriminative property of iris pattern has attracted many researchers attention. The unimodal system, which uses only one bio-metric trait, suffers from limitation such as inter-class variation, intra-class variation and non-universality. The multi-modal bio-metric system has ability to overcome these drawbacks by fusing multiple biometric traits. In this paper, a multi-modal iris recognition system is proposed. The features are extracted using convolutional neural network and softmax classifier is used for multi-class classification. Finally, rank level fusion method is used to fuse right and left iris in order to improve the confidence level of identification. This method is tested on two data sets namely IITD and CASIA-Iris-V3.
Detection of Traffic Congestion and Marine Border Intrusion using Vehicular ad-hoc Networks
Authors:   Mathematics Department, Sathyabama Institute of Science and Technology ,Chennai,India, Kumar Dr. R. Raja , Pandian Dr.R. ,   Electronics and Instrumentation Engineering, Sathyabama Institute of Science and Technology,Chennai,India., Indumathi Dr.P. ,   Electronics Engineering Department, MIT Campus Anna University Chennai, India, Shoaib Sheik Mohammed ,   Engineer in Electronics, Nissan Renault, MahendraCity,Near Maraimalar Nagar, Chengalpattu, Tamil Nadu, India
Published: August 2019

The Vehicular Ad-hoc network, or VANET, is for sharing of emergency and safety information among vehicles to ensure safe travelling of users in road. It is the technology that considers moving cars as nodes to create a mobile network. VANET turns every participating car into wireless router or node, allowing cars to establish communication. Vehicles can communicate within themselves (V2V) and also with the road side units (V2I). Vehicles communicating with other vehicles are likely to enhance the driving experience, awareness, situation perception and thus safety. In response to the problem of drastically increasing road accidents and climatic disasters like smoke, fog etc., we have designed and tested in various traffic scenarios of Kathipara(area in Chennai Tamilnadu), T.Nagar(area in Chennai, Tamilnadu), highway and a village . Each scenario is very different from each other; like Kathipara having moderate real time traffic, T.Nagar having extensive dense traffic, highways with irregular traffic and villages which having very few vehicles for most time. We designed the placement of RSUs(Road Side Units) in each scenario and we analyzed the delay and packet delivery ratios(PDR) in each scenario. These results would guarantee the use of VANET in real time. Yet another traffic scenario we have considered is what happens in marine environment. Unintentional International border crossing by fishermen and hardships encountered by fishermen due to extreme weather conditions are the motivation behind our conceptualizing a network for communication among boats which can be called a BANET (Boat Adhoc Vehicular Network).
Design and Hardware Implementation of Portable Generator using TEG
Authors:   Associate Professor, Dept. of EEE, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, India, Balachander K.
Published: August 2019

Electrical energy has become a part of all human beings, the claim for electricity has been very high in the current days and hence electricity generated by usual means is not plenty. Nowadays solar, wind and thermal power station are mostly used to generate electricity. But by using this more amount of space can be occupied, fuel cost is increasing day by day, and also power consumption rate is very high in commercial sectors. So avoid these problems by using Thermo Electric power Generator (TEG). It is in the form of peltier coolers and TE generators. TE generator produces electrical energy from waste heat. It works based on principle of SEEBECK effect. It is named after the Baltic German physicist Thomas Johann seebeck. This paper proposed an idea of Design and Hardware implementation of Portable Generator using TEG. Hardware model was implemented and tested.
Low Power 32 x 32 – bit Reversible Vedic Multiplier
Authors:   Department of Electronics, School of Technology and Applied Sciences, Edapally, Ernakulam, Eshack Ansiya , Krishnakumar S. ,   Department of Electronics, School of Technology and Applied Sciences, Edapally, Ernakulam
Published: August 2019

Recently, low-power consuming devices are gaining demand due to excessive use and requirement of hand-held & portable electronic gadgets. The quest for designing better options to lower the power consumption of a device is in high-swing. The paper proposes two 32 x 32 – bit multipliers. The first design is based only on the Urdhava Tiryakbhyam Sutra of Vedic Mathematics. The use of this sutra has created a multiplier with higher throughput and lesser power utilization than conventional 32 x 32 – bit multipliers. The second design incorporates the reversible logic into the first design, which further reduces the power consumption of the system. Thus bringing together Vedic sutra for multiplication and reversible gates has led to the development of a Reversible Vedic Multiplier which has both the advantages of high-speed and low-power consumption.
Optimized Data Collection and Computation using Internet of Things (IoT)
Authors:   Resarch scholor and Assistant professor Dept. of ECE, VTU Belgaum / Ramaiah University of applied science/ Bangalore, India., Kumara Mr.Bharath , Padmanabhan Dr. S. Anantha ,   Dept. of ECE, VTU Belgum/Gopalan College of Engineering/ Bangalore, India.
Published: August 2019

IOT is one of the standard data transfer technique used in day today applications like health monitoring, industrial data collection and in home security system. Security in data transmission is one of the major concerned research area in IOT. The existing methodologies is secure data transmission is not provided full fledge privacy for data collection and transmission. Hence, this paper proposed a new methodology to compute and secure the valuable data. The methodology to optimize the data collection is achieved in two different steps. The noise is added to original data in the first step to secure the original data. In second step different nodes in the network/clustered average data will be computed. Later the research methods is implementing to minimize the data loss. To show the performance of the optimal data collection and secure transmission we simulate different constraints of the network parameters and compared with existing methods. The developed algorithm proved that it is one of the better data collection technique.
Impact of Promotional Strategies on Viewers of Kollywood Movies
Authors:   Assistant Professor, Saveetha School of Management, SIMATS, Chennai & Research Scholar Bharathiar University, Coimbatore, India., V.J Mahesh. , Rani.P Uma ,   Professor and Head, Department of Management Studies, Saveetha Engineering College, Thandalam, Chennai, India.
Published: August 2019

Indian Movie Industry had so many ups and downs since 19th century. Industry had movies with great success along with high box office collection records, while some were not even noticed by the viewers. Tempting all of them to movie theatre need well planned strategies. In order to determine the impact of promotional strategy the researcher has created some constructs namely TV advertisements, movie trailers, posters and print advertisements, social networking sites, in-house movie theatre advertisements, word-of-mouth/e- wom, movie attributes, road shows and flash mobs, you tube viral videos, video games, mobile apps, product placements, reality shows, audio launch, making videos. It is concluded from the present study that promotional strategies being followed in Kollywood movies creating great impact on movie watchers. Out of the major promotional strategies considered for this study, the most preferred promotional factors that influence the respondents to watch movies are movie attribute, movie trailers and social networking sites, where movie watchers are most aware on the creative aspects of product placements, you tube viral videos, and reality shows.
Effect of Helix Angle on the Gear Design Parameters in Helical Gears
Authors:   Mechanical Engineering, Vishwakarma Institute of technology, Pune, India., Dhokale Shubham , Bahulikar Dr. Sanjay ,   Mechanical Engineering, Vishwakarma Institute of technology, Pune, India., Hemke Vishal ,   ACD D&D, Kirloskar Pneumatic company limited, Pune, India.
Published: August 2019

Screw compressor demands quite operation. For getting lower noise it is important to have higher contact ratio. Contact ratio can be increased by increasing the Helix angle i .e. indirectly increasing overlap ratio. The paper represents the effect of change in design parameters with respect to helix angle with the keeping same module and same centre distance. Higher helix angle leads lower bending and contact stresses. The study was conducted for screw electrical compressor. Gear was design for fixed parameters except helix angle. Also the contact stresses are analyzed (FEA) on ANSYS. The result from the calculation and FEA are compared for contact stress as well as bending stress.
Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology
Authors:   Assistant Professor, Dept. of CSE, Tagore Engineering College, Chennai, India., Selvalakshmi B. , Subramaniam Dr.M. ,   Professor , S.A.Engineering College, Chennai – 600077, India.
Published: August 2019

The problem of web document clustering has been well studied. Web documents has been grouped based various features like textual, topical and semantic features. Number of approaches has been discussed earlier for the clustering of web documents. However the method does not produce promising results towards web document clustering. To overcome this, an efficient hierarchical semantic relational coverage based approach is presented in this paper. The method extracts the features of web document by preprocessing the document. The features extracted have been used to measure the semantic relational coverage measure in different levels. As the documents are grouped in a hierarchical manner, the method estimates the relational coverage measure in each level of the cluster. Based on the semantic relational measure at different level, the method estimates the topical semantic support measure. Using these two, the method computes the class weight. The estimated class weight has been used to perform document clustering. The proposed method improves the performance of document clustering and reduces the false classification ratio.
An Efficient Parallel and Distributed Algorithm on Top of MapReduce
Authors:   Computer Science and Engineering, GRIET, Hyderabad, India., Karuna G. , Krishna I. Rama ,   School of Information Technology, JNTUH, Hyderabad, India., Reddy G. Venkata Rami ,   School of Information Technology, JNTUH, Hyderabad India.
Published: August 2019

The undertaking of subspace bunching is for discover concealed groups present in various subspaces inside of dataset. Lately, through the accumulate development of information extent as well as information measurements, conventional subspace grouping calculations convert wasteful just as ineffectual whereas extricating learning in the huge information condition, bringing about a rising need to structure productive parallel circulated subspace bunching calculations to deal with huge multi- dimensional information by an adequate calculus expense. This article provides MapReduce-dependent calculation of a parallel mafia subspace bunching. The calculation exploits MapReduce's information apportioning in addition undertaking parallelism and accomplishes decent tradeoff amongst the expense for plate gets to besides correspondence fare. The exploratory results indicate near immediate accelerations and demonstrate the elevated adaptability and incredible opportunities for implementation of the suggested calculation.
Modifying the MANET Routing algorithm by GBR CNR-Efficient Neighbor Selection Algorithm
Authors:   Ph.D. Scholar, Jagannath University, Jaipur, Rajasthan, INDIA, Goyal Ankur , Sharma Vivek Kumar ,   Professor, Jagannath University, Jaipur, Raja-sthan, INDIA
Published: August 2019

In today’s worlds, Mobile Ad-Hoc Network (MANET) plays most important role in the field networks technology in the world. The MANET has been rapidly rising and becoming signif-icant from the last decade. A MANET is a kind of wireless net-work which has been set-up without requirement of fixed infra-structure where mobile nodes are connected over wireless link. Due to moving nature of the devices, the network topology is unstable and will change dynamically. That’s why stable routing in MANET cannot work properly. In this research paper, a new routing algorithm is proposed to get better routing performance in the MANET. The proposed algorithm designed based on the number of neighbors in the network. Planned algorithm is the improvement of GBR-CNR-LN (GBR-CNR with less neighbors) by calculating the stay time between the selected neighbor nodes and the transmission nodes. If the stay time of sender node is more than the packet transmission time then the selected node is the efficient neighbor selection. The algorithm is implemented and results are analyzed. The results of this paper show the use-fulness of the proposed algorithm. The Evaluation of AODV protocol was carried out using Python and outcome of this evalu-ation showed that proposed Algorithm gave better results than GBR-CNR with less neighbor in terms of End-to-End delay, Number of control message transferred(Routing Overhead) and Network Load. The proposed Algorithm (GC-ENS) decrease Average End-to-End delay 52.54 %, reduce Average Routing Overhead 60.54% and decline the Average load on Network 61.17%.
Implementation of Low Power Memory on FPGA
Authors:   School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune , India, Wahurwagh Kshitij , Danve Shruti ,   School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune , India
Published: August 2019

Clock gating is a prominent and an efficacious methodology adopted to decrease the dynamic power (clock power) utilization in complementary metal oxide semiconductor (CMOS) based circuits. The sole intent of gating a clock signal is to minimize its switching activity and thereby reduce significant amount of power utilization of the clock signal. Memories or storage elements are the integral part of the complex designs used in the modern day devices enabling storage of exhaustive and crucial values being processed. In this paper, we present the design and implementation of Random Access Memory (RAM) with reduced power consumption using clock gating technique on a Field Programmable Gate Array (FPGA). These memory elements can be either of synchronous or asynchronous nature. The memories discussed in the proposed work are synchronous in nature and hence reading and writing operations take place on the positive or rising edge of the clock. A gating logic is applied to lessen the superfluous transitions of the clock signal propagating along the clock network of the circuit. The target device (FPGA) for this work is Xilinx Spartan 6 and the design tool is Xilinx ISE 14.7 with the memories being modelled in Verilog HDL and simulation outputs shown in ISim.
Iot Botnet Detection Using System Call Graphs and One-Class CNN Classification
Authors:   Department of Information Technology and Information Security, People’s Security Academy, Hanoi, Vietnam., Le Hai-Viet , Ngo Quoc-Dung ,   Department of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam., Le Van-Hoang ,   Graduate People's Security Academy, Department of Information Technology and Information Security, People’s Security Academy, Hanoi, Vietnam.
Published: August 2019

With the rapid development of IoT devices, security risks become clearer in smart houses with the emergence of more types of IoT Botnet. With the development of machine learning technology applied to dynamic analysis methods, the automatic detection of variations of IoT Botnet has many achievements. However, there are still some difficulties such as building Sandbox suitable for IoT Botnet with specific chip architectures, collecting full of malicious behavior, imbalance in dataset,... affecting the accuracy of the learning model. In this paper, the authors introduce method of detecting IoT Botnet through system call of executable file to address some difficulties mentioned above. We edit sandbox environment based on QEMU to collect more monitoring data and focus to system calls behavior of malware. By using the CNN network architecture combined with One-class classification and features extracted from the system call graph, the authors have built a IoT Botnet detection model with an accuracy of up to 97% and F-measure 98.33%.
Heart Disease Prediction System Using Linear Regression, Smoreg, And Rep Trees Algorithms
Authors:   Department of Computer sceince, Alagappa University/ Dr.Umayal Ramannathan College for Women/ Karaikudi, India., Nanthini R. , Pandiselvi Dr.P. ,   Department of Computer Science, Alagappa University/ Dr. Umayal Ramanathan College for Women/ Karaikudi , India.
Published: August 2019

The broad area of data mining covers most of the fields of research. Its role in medical diagnosis is very motivative to the researchers. It is very easy for the medical practitioners to analyze and treat the disease of the patients at an early stage. The proposed work deals with predicting heart disease of the patients at an early stage. The method was organized in three stages, Data collection, Data preprocessing and Data classification. The dataset for the work was collected from UCI repository. The collected sample was first preprocessed to clean unwanted information from the dataset. Classification operation is then performed on the preprocessed data. Classification is carried out with three different techniques, Linear regression model, SMOreg and REP trees. The results of the three methods were compared based on Root mean squared error and the Absolute error and are tabulated.
The Combined Power Generation in Pre-Start Thermostating Systems
Authors:   Refrigeration & Air Conditioning Department, Mechanical Engineering Faculty, Admiral Makarov National University of Shipbuilding, Mykolayiv, Ukraine, Bulavka Sergiy S.
Published: August 2019

Modern requirements to the operational parameters of pre-start thermostating systems require a new approach to their creation or upgrading. Therefore, there is a need to consider the possibilities of using the combined power generation in pre-start thermostating systems. Launch vehicles include the equipment that requires certain temperature conditions for operation, which modifies its characteristics and disrupts normal functioning. The temperature also determines the characteristics of onboard power supplies, the reliability of the engine units and pre-start thermostating systems. For the normal functioning of pre-start thermostating systems, it is necessary to supply various combinations of power for the spacecraft. The recent open access publications were considered, including the combined types of power generation in pre-start thermostating systems. The thermostating systems of spacecrafts should have several sources of power, i.e. the combined power generation in pre-start thermostating systems has not been considered yet. The examination of the possibilities of using the combined power generation in pre-start thermostating systems. The thermostatic systems for performing the functions of pre-start thermostating systems are to have several sources of energy that will increase the reliability of their operation. Energy can also be supplied from an external source, which is essential for pre-start thermostating systems, especially in launch units. The possibilities of using the combined power generation in pre-start thermostating systems are considered, providing the reliability increase of their functioning. The application of mechanical, thermal, electrochemical and solar power plants, as well as the use of nuclear isotope and reactor power plants is suggested.
Outlier Detection in Climatology Time Series with Sliding Window Prediction
Authors:   Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India., Mahajan Manish , Kumar Santosh ,   Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India.., Pant Bhasker ,   Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India..
Published: August 2019

It is important to identify outliers for climatology series data. With better quality of data decision capability will improve which in turn will improve the complete operation. An algorithm utilising the sliding window prediction method is being proposed to improve the data decision capability in this paper. The time series are parted in accordance with the size of sliding window. Thereafter a prediction model is rooted with the help of historical data to forecast the new values. There is a pre decided threshold value which will be compared to the difference of predicted and measured value. If the difference is greater than a predefined threshold then the specific point will be treated as an outlier. Results from experiment are showing that the algorithm is identifying the outliers in climatology time series data and also remodeling the correction efficiency.
Globalization’s Impact on the Usages of Imported and Local Building Materials in Jordan
Authors:   Department of Design, Yarmouk University, Irbid, Jordan., Sokienah Yaman
Published: August 2019

The process of choosing building materials is an essential part of the design process. Whenever architects and interior designers start to think about a project, one of the first things they consider is the materials that will be used in the production of the project. There is little research exploring the impact of globalization on the level of using imported and local building materials in Jordan. Therefore, it is necessary to examine the impact of globalization on the level of using imported and local building materials in Jordan and explore the impact of using imported building materials on the level of using local building materials in Jordan. For the purpose of this study, data gathered about the usage of imported building materials in Jordan and analyzed to observe any drops of rises of using specific building materials. Also, this data was used to understand the most common imported building materials used. This study requires a total understanding of the relationship between globalization and building materials and their impact on the economy and the usage of imported and local building materials. comprehension of this relationship will make it possible to find solutions to integrate the use of imported building materials and local materials. Globalization impact can be observed in other sectors in Jordan. The building materials market is being affected by the phenomenon of globalization. It was found that there is a noticeable increase in imported building materials or raw materials that are needed to manufacture building materials. If the attitude toward the usage of local building materials in Jordan keep decreases and relying on imported building materials in the construction section, there will be a recession in the local building materials in Jordan. Having this recession will have a greater impact on the building materials and local factories in the long term.
Optimized Multi-layer Machine Learning Technique for Movement Detection and Tracking in Video Data Stream
Authors:   M.tech student at Department of CSE, Sachdeva Engineering College for girls , Gharuan (Mohali), Punjab, India., Devi Manisha , Bhatla Er. Nidhi ,   HOD (CSE) at Sachdeva Engineering College for Girls, Gharuan(Mohali), Punjab, India., Kaur Er. Harinder ,   assistant professor at Sachdeva Engineering College for Girls, Gharuan(Mohali), Punjab, India.
Published: August 2019

With the advent in technology, security and authentication has become the main aspect in computer vision approach. Moving object detection is an efficient system with the goal of preserving the perceptible and principal source in a group. Surveillance is one of the most crucial requirements and carried out to monitor various kinds of activities. The detection and tracking of moving objects are the fundamental concept that comes under the surveillance systems. Moving object recognition is challenging approach in the field of digital image processing. Moving object detection relies on few of the applications which are Human Machine Interaction (HMI), Safety and video Surveillance, Augmented Realism, Transportation Monitoring on Roads, Medical Imaging etc. The main goal of this research is the detection and tracking moving object. In proposed approach, based on the pre-processing method in which there is extraction of the frames with reduction of dimension. It applies the morphological methods to clean the foreground image in the moving objects and texture based feature extract using component analysis method. After that, design a novel method which is optimized multilayer perceptron neural network. It used the optimized layers based on the Pbest and Gbest particle position in the objects. It finds the fitness values which is binary values (x_update, y_update) of swarm or object positions. Method and output achieved final frame creation of the moving objects in the video using BLOB ANALYSER In this research , an application is designed using MATLAB VERSION 2016a In activation function to re-filter the given input and final output calculated with the help of pre-defined sigmoid. In proposed methods to find the clear detection and tracking in the given dataset MOT, FOOTBALL, INDOOR and OUTDOOR datasets. To improve the detection accuracy rate, recall rate and reduce the error rates, False Positive and Negative rate and compare with the various classifiers such as KNN, MLPNN and J48 decision Tree.
Research on Performance of Multi-Skilled Workers for Sustainable Production Planning In Seru Production Systems
Authors:   Mechanical Engineering Department K L E F, Vaddeswaram, India., Deepthi T.Venkata , Ramakotaiah K. ,   Mechanical Engineering Department KKR&KSR Institute of Technology and sciences, Guntur, India, Krishnaveni K. ,   Mechanical Engineering Department KKR&KSR Institute of Technology and sciences, Guntur, India
Published: August 2019

A Thriving demand of manufacturing industries causes the escalation in carbon emission and worsening the environmental conditions, to ameliorate such scenario sustainable development has attracted by countries policy makers, academia, manufacturing industry, and service industry. The primary consumers of energy i.e., production systems are the major contributors of carbon emissions and to mitigate environmental hazards sustainability factors taking part in their concerns. This paper investigates the benefits of switching to Seru production system (Cell manufacturing system) in terms of both the economic and ecological performance. A mathematical model was developed with the objectives of minimizing the total training cost of the workers which in turn will decrease the processing time and energy utilization leading to control the carbon footprint of the company. The effective scheduling of skillful workers to serus ensures the significant result on achieving the goals of the model, for this a two-stage heuristic and modified moth flame algorithm are deployed. The proposed model yields a set of alternative Pareto optimal solutions with the minimal carbon footprint on several numerical instances. The computed results will garner a sustainable manufacturing system and assure the efficacy of the suggested algorithm.
Adaptive Head Light System using Image Processing
Authors:   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India., Patil Miss. Medha B. , Phakade Prof. S. V. ,   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
Published: August 2019

The project introduce a prototype of an adaptive head light system using image processing. This system is focused on the lighting angle of low beam in the headlights with its light moved horizontally. The controller in head light is based on image processing from a camera mounted front side of the car. This system decrease the ‘glare’ effect of the headlights and increase the drivers visibility based on survey.
Adaptive PI control of Electric Springs For Voltage Regulation Under Dynamic Load Changes
Authors:   Assistant Professor, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh & Research Scholar, KLEF, Vijayawada, Andhra Pradesh., Deepika K.K. , Kumar J.Vijaya ,   Assoc. Professor, Dept. of EEE, ANITS, Visakhapatnam, Andhra Pradesh., Rao Dr.G.Kesava ,   Professor, Dept. of EEE, KLEF, Vaddeswaram, Andhra Pradesh., Chaitanya S. ,   PG student, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh.
Published: August 2019

Due to continuous distributed generation development technology, the accessibility of wind, solar and also the renewable energy sources tends to intensify. To suppress the voltage fluctuation caused by the distributed generation electric springs had been developed. In this article an adaptive control of Electric spring is proposed, in which the gains of the PI controller are optimised by TLBO to maintain constant voltage across critical load. The proposed strategy is tested for dynamic changes in the non-critical load. Simulation results show that, for voltage fluctuations caused by the DGs and also with the dynamic load changes, ES with adaptive controller stabilize the bus voltage effectively, over ES with Fuzzy Logic Control and traditional PI control.
Islam dan Kapitalisme; Titik Temu dan Kritik Dalam Al-Qur’an
Authors: Habiburrahman Habiburrahman
Published: August 2019

This paper discusses the point of view of Al-Quran on the spirit of capitalism because there is enormous imbalance between the reality of Muslims who are poor and spirit to rich. This study analyzed the interpretation of Indonesian scholars and how the spirit of capitalism relates to the Al-Quran. This research was a literature study that examined the interpretation of Indonesian scholars. It was descriptive-analytical. It explored in depth about these interpretations and related them to the spirit of capitalism in the Al-Quran. This study found the Al-Quran view of the spirit of capitalism. Humans are not only commanded pure worship to God but also pay attention to their daily life. Human do everything to obtain wealth due to their needs. This was the principle of capitalism by Ayn Rand through the theory of Max Weber. The spirit of capitalism is a human attitude in an effort to fulfill their needs. Thus, the author pointed the spirit of Al-Quran that teaches this is as the spirit of capitalism in the Al-Quran. However, Islam addresses capitalism by formulating an economic system based on Al-Quran.
Hoax: Teks dan Konteks dalam Al-Quran
Authors: Setiyanto Danu Aris
Published: August 2019

The development of technology has been shifted human’s way from the manual era to the digital era. Humans have been able to communicate without border and time. However, information in the modern era is not always true and many of them are false or hoaxes. Al Qur’an as a guide for humans has actually explained the hoax. Some words in the Al Qur'an illustrated the context of hoaxes such as ifk, kaẑaba, fitnah, khud'a, qaul al-zūr, buhtan, iftara, tahrif, and garur. In this paper, it will discuss the text of the hoax in the Al Qur’an in its text and textual verses when the verse is revealed. Furthermore, the context of the hoax in the Al Qur’an is explained in the context of the current issues with a semantic approach. This paper concludes that the meaning of the hoax in the Al Qur'an is in accordance with the recent context but only the media and problems are more complex. Furthermore, the Qur'an has provided solution to the issues of hoax such as checking the correctness of the data before sharing (Q. S Al-Hujurat: 6, Q. S Isra: 36), increasing the culture of literacy (Q. S Al-Qalam: 1 -2), awareness of prejudice (Q. S Al-Hujurat: 12), and so on.
Pedagogía, competencia técnica y educación. La perspectiva mesoaxiológica
Authors: Garzón Daza Cecilia
Published: August 2019

El actual número 8/7 de la Revista Boletín Redipe abarca, en primer lugar, una caracterización de la Pedagogía mesoaxiológica propuesta por el pedagogo español José Manuel Touriñán.

Los siguientes artículos representan un aporte igualmente importante para potenciar reflexiones, temas de clase, experiencias y procesos inherentes a la educación, tales como la filosofía como rescate educativo, la Escuela con Mayúscula, Aprendizaje y formación en lengua extranjera, negociación de conflicto, sexting, riesgo ambiental y experiencias socioeducativas.
Synthesis and anion binding properties of phthalimide-containing corona[6]arenes
Authors: Gu Meng-Di , Lu Yao , Wang Mei-Xiang
Published: August 2019

Functionalized O6-corona[3]arene[3]tetrazines were synthesized efficiently and conveniently by means of a macrocyclic condensation reaction between N-functionalized 3,6-dihydroxyphthalimides and 3,6-dichlorotetrazine under mild conditions in a one-pot reaction manner. The novel macrocycles exist as a mixture of rapidly interconvertible conformers in solution while in the solid state they adopt the conformation in which three phthalimide units are cis,trans-orientated. Acting as electron-deficient macrocyclic hosts, the synthesized O6-corona[3]arene[3]tetrazines self-regulated conformational structures to complex anions in the gas phase and in the solid state owing to the anion–π noncovalent interactions between anions and the tetrazine rings.
Particle Acceleration by Cosmic Ray Viscosity in Radio-jet Shear Flows
Authors: Webb G. M. , Al-Nussirat S. , Mostafavi P. , Barghouty A. F. , Li G. , le Roux J. A. , Zank G. P.
Published: August 2019

A steady-state, analytical model for the acceleration of energetic charged particles owing to cosmic ray viscosity and fluid shear in relativistic jets is explored. The model extends the work of Webb et al. to alternative forms of the mean scattering time τ (r, p). The flow velocity profile
u
 = u(r)
e

z
of the jet is independent of distance z along the axis of the jet. u(r) is a monotonic decreasing function of cylindrical radius r about the jet axis. The scattering time

is a power-law function of the particle momentum p as measured in the fluid frame. The solutions are eigenfunction expansions involving J
0 Bessel functions and power-law functions of p. The solutions are used to discuss particle acceleration in shear flows in jets, and to determine if high-energy cosmic rays (i.e., with kinetic energies T ∼ EeV) can be accelerated to these energies in candidate AGN jet sources. Green’s function solutions involving J

m
Bessel functions and more general boundary conditions at the outer edge of the jet are described. We use a time-dependent model to assess the effects of cosmic ray inertia in limiting the upper particle momentum p
max(t) due to cosmic ray viscosity and from second-order Fermi acceleration due to Alfvén waves. The model describes the competition between energy gains due to momentum space diffusion and energy losses of the particles due to synchrotron losses or inverse Compton losses.
First record of a by-the-wind-sailor (Velella velella Linnaeus, 1758) in the Galápagos Archipelago - Ecuador
Authors: Carrera Martín , Trujillo José , Brandt Margarita
Published: August 2019

We present the first official record of the by-the-wind-sailor (Velella velella) for Ecuador. Twelve individuals were found along different beaches of San Cristóbal and Santa Cruz Islands in Galápagos Archipelago, Ecuador. These sightings may be influenced by El Niño Southern Oscillation events.
Crassisporus gen. nov. (Polyporaceae, Basidiomycota) evidenced by morphological characters and phylogenetic analyses with descriptions of four new species
Authors: Ji Xing , Wu Dong-Mei , Liu Shun , Si Jing , Cui Bao-Kai
Published: August 2019

A new poroid wood-inhabiting fungal genus, Crassisporus gen. nov., is proposed on the basis of morphological characters and molecular evidence. The genus is characterized by an annual growth habit, effused-reflexed to pileate basidiocarps with pale yellowish brown to yellowish brown, concentrically zonate or sulcate, and velutinate pileal surface, a trimitic hyphal system with clamped generative hyphae, tissues turning to dark in KOH, oblong to broadly ellipsoid, hyaline, smooth, and slightly thick-walled basidiospores. Phylogenetic analysis based on ITS+nLSU sequences indicate that Crassisporus belongs to the core polyporoid clade. The combined ITS+nLSU+mtSSU+EF1-α+RPB2 sequences dataset of representative taxa in the Polyporaceae demonstrate that Crassisporus is grouped with Haploporus but forms a monophyletic lineage. In addition, four new species of Crassisporus, C. imbricatus, C. leucoporus, C. macroporus, and C. microsporus are described.