bluuebunny/crossref_metadata_2025 huggingface dataset:
Bir Medya Aracı Olarak Sinemanın Din Eğitiminde Kullanımı: Baudrillard’ın Simülasyon Teorisi Bağlamında Bir Değerlendirme
Authors: Gümüş SÜLEYMAN
Published: November 2019

Bu makale, Jean Baudrillard’ın Simülasyon
Kuramı üzerinden, din eğitiminde sinemanın kullanılabilirliğini analiz etme
amacını taşımaktadır. Çalışma, üç bölümden oluşmaktadır: birinci bölümde
simülasyon kuramı açıklanmış; ikinci bölümde, simülasyonun bireyi ve toplumu
dönüştürmesi üzerinde durulmuş ve son bölümde de düşünür tarafından bir
simülasyon modeli olarak kabul edilen sinemanın eğitsel imkân ve sınırlılıkları değerlendirilmeye
çalışılmıştır. Bu amaçla, kendi tekil durumunun sınırlılığında din eğitiminin
hedeflerine ulaştırmak için uygun görülen bir araç, kültür eleştirisi olan
simülasyon teorisi merkeze alınarak tümel bir bakış açısında kritik edilmiştir.
Din eğitiminin kazanımları ile öğretim araçları arasındaki ilişki, kendi
dinamiği içinde bir gerçeklik haline gelebilmektedir. Söz konusu bu gerçeklik
ise, dinin anlamının önüne geçme tehlikesini içermektedir. Özellikle din
eğitiminin bilimsel statüsü, onun pratik bağlamını aşırı güçlendirerek
antropolojik bir olgu olmasıyla sınırlandırabilir ki bu, dinin eğitim
dolayımında dünyaya geri çekilmesi demektir. Simülasyon, gerçeğin yerine ikame
edilmiş ve kökenden bağımsız olan yansımasını ifade etmektedir. Simülasyon
evreni, göndergelerinden yoksun göstergelerin inşa ettiği sanal bir evrene
göndermede bulunmaktadır. Baudrillard’a göre sinema filmi de, bu evrende
yer alan bir simülasyon modeli/simülakr olarak çalışmaktadır. Sonuçta anlamın
aktarılamaması nedeniyle, din eğitiminin amaçladığı dini bilgiler ve ahlaki
ilkelerin, bir yüzey olan sinema ekranı üzerinden izleyiciye aktarılması mümkün
görünmemektedir. Filmlerin etkileyiciliği, bilinçdışının bağlarından ve
sınırlardan kurtularak özgürleşmesi sonucu bir kendinden geçmesi haline
benzemektedir.
The expropriation of ownership for building a public road - procedure – compensation
Authors: Wrześniak Iwona
Published: November 2019

The procedure for expropriation of the property is based on the removal of the ownership right of the current owner to benefit the overall public which is usually the construction of public utilities, e.g. roads. The justification for expropriation is based on the permission to carry out a road investment, which has legal-property (material) effects – the power of the law itself transfers ownership to a public entity: the State or a local government unit, therefore, it is the most extensive interference in ownership relations. The Act of 10 April 2003 dealing with special rules for the preparation and implementation of investments of public roads introduces a simplified, one-step expropriation procedure aimed at accelerating and streamlining the implementation of road investments in Poland. Expropriation is possible only when just compensation is paid. In order to determine the amount of compensation, it is necessary to assess the market value of a given (concreto) property. The compensation entitlement for the withdrawal of the property right does not become time-barred, thus, the party to expropriation proceedings may demand it at any time. The compensation function is implemented by granting the holder usually a cash payment for the expropriation of real estate on which the road will be built. Keywords: Expropriation of real estate; Compensation; Special purpose Road Act
Telematics as a future method for improving the safety of rail transport
Authors: Lewiński Andrzej , Perzyński Tomasz
Published: November 2019

The paper shows how the development of telematics systems affects the field of railway traffic management and control. It presents current and future solutions that can significantly improve safety. A mathematical apparatus in the form of Markov processes was proposed for analysis.

Keywords: Rail systems; Safety; Models of the systems
CALVEZELLA, A NEW REPLACEMENT NAME FOR ARAGONELLA CALVEZ, 1989 (TYPE-SPECIES A. MARGINATA), A FORGOTTEN ORBITOLINID FROM THE ALBIAN OF SPAIN
Authors: SCHLAGINTWEIT FELIX
Published: November 2019

Calvez (1989) described a new orbitolinid as Aragonella marginata n. gen., n. sp. from the Albian of Spain. The genus name however is a junior homonym of Hantkenina (Aragonella) Thalmann, 1942, an Eocene foraminiferal genus. In accordance with Article 60.3 of the International Code of Zoological Nomenclature (ICZN), the new replacement name Calvezella is introduced for Aragonella Calvez, 1989. This taxonomic revision leads to the new combination Calvezella aragonata (Calvez, 1987) for its only species.
Latina Muslim Producers of Online and Literary Countermedia:
Authors: Avivi Yamil
Published: November 2019

Since 9/11, US English and Spanish language media have reported on the rise in Latino/a conversion to Islam. Western(ized) media images I examined for this essay about Latinas converting to Islam raise suspicions overpossible forced conversions, brainwashing, or abuse. What is evident and salient in these media portrayals, whether deliberately or unintentionally created, are the binaries (Western vs. non-Western, Christian vs. Muslim, and Arab vs. Latino) that limit understandings of how these women are self-empowered and make choices for themselves in their everyday lives as Latina Muslim converts.
A Proficient Performance Scrutiny of King Mesh Topology based on the Routing Algorithms
Authors:   Department of Electronics and Communication Engineering, Adithya Institute of Technology, Coimbatore, India., Sobana Dr.S. , Madhubala Mrs.T. ,   Department of Electronics and Communication Engineering, Er.Perumal Manimekalai college of Engineering, Hosur, India., Parveen Mrs.A.Sakira ,   Department of Electronics and Communication Engineering, Adithya Institute of Technology, Coimbatore, India, Karthika Ms.P. ,   Department of Electronics and Communication Engineering, Cheran College of Engineering, Karur, India.
Published: November 2019

Network on Chip (NoC), is an associate degree approach to construct the interaction between subsystems. The number of cores in a System on Chip (SoC) increases gradually in the pre-decades and affect the system performance. The scalability of SoC is improved by NoC architectures where topology contains an important impact on the performance and cost of the network. Mesh, Torus is some of the topologies used in NoC system design. King mesh topology is the concept introduced to improve the performance of the NoC system. King topology introduces some new advancement in the performance of mesh and torus topology. The king mesh topology provides number of advantages such as reduced execution time in parallel processing applications. In king mesh topology the transmission latency of long distance traffic is high. The proposed XY routing and Weight based Path Selection (WPS) routing techniques increases the speed of the system, reduce the area utilization and power consumption and reduce the number of hop counts by finding the shortest path.
Mitigation of Geometrical Attack in Digital Image Watermarking using Different Transform Based Functions
Authors:   Phd scholar, Asst prof Uit Rgpv bpl, Asst prof uit Rgpv Bhopal, Rai Mr Manish , Goyal Dr Sachin ,   Phd scholar, Asst prof Uit Rgpv bpl, Asst prof uit Rgpv Bhopal, pawar Mahesh ,   Phd scholar, Asst prof Uit Rgpv bpl, Asst prof uit Rgpv Bhopal
Published: November 2019

The illegal act of digital multimedia data loss the value of information and integrity. The loss of information and integrity born the process of piracy of digital data. The piracy of digital data loss the brand value of documents and products. For the prevention of piracy used the digital watermarking technique. The digital watermarking techniques provide copyright protection and increase the value of brands — Watermarking techniques used in various fields such as image, video, audio, and text. The process of watermarking techniques proceeds in two manners spatial domain and frequency domain. The processing of frequency based watermarking techniques is roughest and fast processing of watermarking. Now in the current scenario, various transform function is used for the embedding process of watermarking techniques. In this approach present the studied of digital watermarking techniques based-on different transform function such as DCT, DWT, FFT, and many more transform function. The transform function based watermarking techniques faced a problem of geometrical attack. The Geometrical attack deforms the watermark and gets information. The prevention of watermarking techniques against the Geometrical attacks is a big challenge for the researcher in the field of digital watermarking.
Modified H-HABE and Most Common Encryption and Decryption Algorithms using Different Operating Systems
Authors:   Research Scholar, Department of Computer Science, Annamalai University,Annamalai Nagar, Narmadhai G. , Bhanu Dr. S. Vijay ,   Assistant Professor, Department of Computer Science & Engineering, Annamalai University Annamalai Nagar
Published: November 2019

Cloud computing has been viewed as the cutting edge engineering of Information Technology(IT). The Cloud worldview included preferences and its potential for decreasing expenses and time for an administration that favors towards security issues. Distributed computing is a total of data technology(IT) that offered to the client dependent on renting. Despite the fact that countless security issues are tended to, in any case some are not tended to and a few calculations are proposed for security issues. This paper shows an on the diverse Operating Systems of utilizing our refreshed H-HABE calculations and contrast and the different most normal encryption instruments. A near report made on a few encryption methods are utilized in the Different Operating Systems in the cloud. At long last, the real measurements like distinctive working framework issues present in distributed computing are examined.
Thermal Performance of Phase Change Material Based Heat Sink for Solar Photovoltaic Cooling
Authors:   Assistant Professor, Department of Mechanical Engineering, NITTTR, Chennai and also Research Scholar ,Department of Mechanical Engineering, NIT, Tiruchirappalli, Tamil Nadu, India, Kumar M. Senthil , Balasubramanian K.R. ,   Associate Professor, Department of Mechanical Engineering, NIT, Tiruchirappalli, Tamil Nadu. India, Krishnan.R Ajith ,   Research Scholar, Department of Mechanical Engineering, NIT, Tiruchirappalli, Tamil Nadu. India, Maheswari L. ,   Research Scholar, Department of Instrumentation & Control Engineering, NIT, Tiruchirappalli, Tamil Nadu. India, Sivakumaran N. ,   Professor, Department of Instrumentation & Control Engineering, NIT, Tiruchirappalli, Tamil Nadu. India
Published: November 2019

Solar photovoltaic panels can receive only eighty percent of total incident solar radiation. A small amount of incident energy is transformed into electrical energy based on the efficiency of the photovoltaic (PV) cell. The remaining energy leads to an increase in photovoltaic cell operating temperature which affects its life and power output. Cooling of PV panel is the best way to improve the efficiency either by passive or active cooling methods. PV cooling by Phase change materials (PCM) is the best effective technique. Paraffin wax is a non toxic material having high latent heat of fusion used for many thermal applications. In this study, paraffin wax is taken as phase change material in aluminum heat sink with fins. Using DSC, the melting point of paraffin wax is analysed. The flat plate heater is used instead of solar PV panel. Different wattages are used for the experiments. Different inclinations such as horizontal (00), vertical (900) and intermediate (450) were taken in to consideration. The melting starts at 50oC and complete melting occurs at a temperature around 60oC for the paraffin based heat sink. The heat sink surface temperatures, fin temperatures and PCM temperatures are measured. The transient temperature distribution of heat sink, PCM is analysed at different wattage inputs. The total thermal performance of this paraffin PCM based heat sink was analysed experimentally. This infers that the cooling of high temperature of PV panels can be done by using paraffin based PCM to increase the efficiency and life of the panels.
Workflow load Balancing using soft computing base novel framework with Qos Parameters
Authors:   Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana (India), Parashar Jyoti , Garg Atul ,   Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana (India)
Published: November 2019

Cloud computing represents a new era of computing network, where the resources of the system are dispersed and shared among its users in the network premises. The user of this system is able to use such resources through the technology of internet based on system of Pay-As-Per-Use. If a service is used by any type of user, it helps in production of wide variety of data. So, the cost of data transfer between two of the dependent resources will be extremely high. Additionally, an application of complex nature involves large number of tasks boosting the process of total cost of execution with respect to the used application, if the process is not scheduled in an optimized manner. In order to overcome such issues, a hybrid approach of water cycle optimization is proposed with particle swarm optimization. This method is divided into two steps of working determining under and over utilized virtual machines. In experimental analysis, the proposed approach on different scientific workflows is done where significant performance in all the workflows is based on total execution time and total execution cost.
Automating Time Series Analysis to Predict/Forecast Rainfall in AGUELMAM SIDI ALI Watershed in Morocco
Authors:   AMIPS laboratory, Department of Computing Science, Ecole Mohammadia d’Ingénieurs, Mohammed V University – Rabat, Morocco., Chalh Ridouane , Bakkoury Zohra ,   AMIPS laboratory, Department of Computing Science, Ecole Mohammadia d’Ingénieurs, Mohammed V University – Rabat, Morocco., Ouazar Driss ,   LASH laboratory, Civil Engineering Department, Ecole Mohammadia d’Ingénieurs, Mohammed V University - Rabat, Morocco., Hasnaoui Moulay Driss ,   Water resources department, the Ministry Delegate to the Minister of Energy – Rabat Morocco., Ait-Mlouk Addi ,   Department of computing Science, Umeå University, Sweden.
Published: November 2019

Moroccan economy is largely based upon rainfall, use of water resources and crop productivity, for that it’s considered as an agricultural country. It’s more required and more important for any farmer to forecast rainfall prediction in order to analyze crop productivity. Predicting the atmosphere or forecasting the state of the weather is considered as challenge for scientific research. The prediction of rainfall monthly or/and seasonal time scales is the application of science and technology to invent and to schedule the agriculture strategies. Recently different research articles achieve to forecast and/or predict rainfall monthly or seasonal time scales using different techniques. The methodology followed in this work, be focused on automating time series analysis to forecast / predict precipitation daily, monthly or seasonal in Aguelmam Sidi Ali basin in Morocco for last 32 years ago from 1975 to 2007. We first have to study the rainfall data theoretically using the simplest form statistical analysis, which is the univariate analysis, as long as only one variable is involved in our case study. To get the selected and suitable model of time series to automate, we used different autocorrelation methods based on various criterion such as: Akaike Information Criterion (AIC), estimation of parameters using Yule-Walker (YW) and Maximum Likelihood Estimation (MLE). The results of our experiment show that it is possible using our system to obtain accurate rainfall prediction, with a more details and with a very fast way. It shows also that it’s possible to predict for next months or next years. To minimize the risk of floods and natural disasters within a basin in general and within the Aguelmam Sidi Ali basin in particular, accurate and timely rainfall forecasting is required.
Smart Farming: IoT Based Plant Leaf Disease Detection and Prediction using Deep Neural Network with Image Processing
Authors:   Computer Science and Engineering, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., K Prema , Belinda Carmel Mary ,   Computer Science and Engineering, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: November 2019

Agriculture plays a major role in human life. Almost 60% of the population is involved directly or indirectly in some agriculture activity. But Nowadays, farmers have quit agriculture and shifted to other sectors due to less adoption of automation and other reasons like increase in the requirement of agricultural laborers. So, Farmers now largely depend on adoption of cognitive solutions with technological advancements to acquire the benefits. Image processing and Internet of Things jointly produces new dimensions in the field of smart precision farming. This proposed methodology aims to create an approach for plant leaf disease detection based on deep neural network. This approach combines IoT and image processing which runs pre-processing and feature extraction techniques by considering different features such as color, texture, size and performs classification using deep learning model that expands to help identification of plant leaf disease.
Enhancing Cyber Security in Power Sector using Machine Learning
Authors:   Assistant Professor (Senior) from the School of Computing Science and Engineering, VIT University, Chennai., Prabhakaran Prof.R. , Asha Dr. S. ,   Associate Professor from the School of Computing Science and Engineering, VIT University, Chennai.
Published: November 2019

Nowadays, our lives have become very much dependent on the power systems, whether it is in home or in offices or anywhere. Any failure in the power systems can bring our lives to a halt. To ensure no power fault, a continuous and remote monitoring, control and automation are needed. The implementation of constraints increases the efficiency of the power systems. But, to put monitoring, control and automation into practice we need network, and with this come the threat of cyber-attacks. With more open standard-based communication network, the automated power systems have become the target of the cyber-attacks. By exploiting the cyber components in networks, critical cyber components can be manipulated. Intruders can tamper the communication links by injecting false or modified data. To come up with security measures against these attacks, vulnerabilities of the power systems are being assessed to analyze the impacts of the cyber-attacks. Several techniques have been implemented so far to make the power systems less prone to threats. In this paper, technology like Machine Learning is used as anomaly discriminator and to provide security to the power system against the cyber threats.
Development of an Automated Tool for Valve Driver Configuration
Authors:   Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidhyapeetham, India., Patel Divya Janki , S Nithin ,   Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidhyapeetham, India., N Sivaprakash ,   Basic Software, WABCO India Ltd, Chennai, India.
Published: November 2019

The development of a software tool for automating configuration of valves used in automobiles is discussed here. Configuring the valve driver is a monotonous task requiring humongous amount of time and concentration. The tool extracts data from Micro
Analysis of delay time and layout using Heuristics algorithms
Authors:   College of Engineering Research and Technology Transfer Coordinator, Department of Mechanical Engineering, Maddawalabu University, Bale Robe, Ethiopia, Feyissa Habtamu Mitiku , Reddy A Indra ,   Assistant Professor, Mechanical Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., Raghunadh Yakkala. M.K ,   Assistant Professor, Mechanical Engineeri- -ng, Department, Guru Nanak Institutions Technical Campus, Hyderabad, B Somanath. ,   Assistant professor, Mechanical Engineering, Maddawalabu University, Bale Robe, Ethiopia
Published: November 2019

ALB is commonly known as combinatorial optimization problem in manufacturing industries and operation management circumstances. Because of the NP-hard characteristics of ALB problem, lot of tries have been done to solve the problem professionally. The critical concern in analysing ALB is how to generate a possible task order which does not disrupt the priority restrictions. This job arranging is a vigorous work to be answered prior to passing on jobs to workstation. Balance delay time (total idle time) is the total of idle time on fabrication assembly lines triggered by the irregular partition of work among operators or stations. In this thesis, SALBP-1 analysed using the three heuristic techniques. Kilbridge and Westers Method (KWM), Ranked Positional weight (RPW) and biologically inspired evolutionary computing tool which is heuristic treated Genetic Algorithm (GA) was applied to solve the ALB problem with the main aim of reducing the balance delay time in the workstation and the best method was selected. The selection criterion was based on the minimum balance delay for the sample problem. The result obtained by heuristic treated GA with 4.545% of balance delay for the sample problem taken was the best when compared to other two methods.
Low Cost Remote Monitoring of Solar Plant through RS485 Communication
Authors:   Electrical Engineering Department, IIIT RK Valley,RGUKT –AP, YSR Kadapa , Andhra Pradesh, India., Krishna Merugu Siva Rama , Dinesh K. ,   Electronics and Communication Department, IIIT RK Valley, RGUKT –AP, YSR Kadapa , Andhra Pradesh, India., Shanbog Niteesh S ,   Electrical and Electronics Department, PES University, Bengaluru, Karnatak, India.
Published: November 2019

Solar energy has already grown to be the go-to form of renewable energy in the modern power grid. Monitoring the generation and consumption is imperative in order to properly plan the operation as well as the installation of additional capacity. Low-cost remote monitoring of a standalone solar farm through a Raspberry Pi is proposed in this paper. RS485 is used for data transfer between the inverter and the Raspberry Pi. Remote data monitoring is then achieved by pushing the data into the cloud from the Raspberry Pi. Real-time information is made accessible which will help in preventive maintenance, fault detection and also generate a database to aid in forecasting. This IoT based solution is suitable for solar installations in remote and inaccessible areas where regular access is inconvenient. The total number of units of power generated in a day can be calculated from which an estimate can be made about the number of units generated. From this, the financial savings that can be made by implementing a photovoltaic system for energy generation.
Resource Allocation Technique for Distributed System using Prioritized Class-Based Algorithm
Authors:   Ph.D, Department of Computer Science and Information Technology JNTU Hyderabad, India., Kavuri Roshan , Upadhayaya Niraj ,   Professor and Dean Department of Electronics J.B. Institute of Engineering & Technology., Govardhan A ,   Professor, Jawaharlal Nehru Technological University, Hyderabad
Published: November 2019

Distributed Systems (DS) are the systems in which the components are distributed at different locations in a network and these components interact with each other by passing messages. In DS each system has a memory and a processor pair. DS is cost-effective, more reliable and faster when compared to the conventional computer systems. But there are some issues in the allocation of resources in such systems as the resources are shared over a number of systems apart from its own individual tasks. The current literature developed various techniques to allocate the resources efficiently by using basic algorithms based on local and global messages and tradeoffs. However, these methods may not be effective as they require special storage and maintenance and constraints the resource availability. In this paper, an efficient resource allocation technique is developed using prioritization and class-based algorithm. The tasks are first given priority and then resources are allocated by fixing a certain percentage of bandwidth for each priority group per execution cycle. The simulation results show that the proposed algorithm is efficient in resource allocation when compared to the conventional techniques.
Building and Improving Artificial Neural Network Classifier
Authors:   SCOPE, VIT, Vellore, India., Saha Sanghita , L Ramanathan. ,   SCOPE, VIT, Vellore, India.
Published: November 2019

Deep learning is a spectrum of machine learning which uses advanced neural networks to solve the various machine learning problems. Its working is very similar to the working of a human brain where the models take decision based on various input parameters. There are multiple open source libraries which implement neural networks, like Tensorflow, Theano, PyTorch, Keras etc. In this paper we have proposed a generic architecture that can be used for any type of classification problems with binary output or classification output using Deep Learning model: Artificial Neural Network (ANN). In the architectural model after Data preprocessing we first build the ANN classifier using Keras library with Tensorflow backends, second step we have apply Cross-validation method for better accuracy. Then we perform Dropout Regularization method for preventing from overfitting and at last we have applied grid search technique for parameter tuning that basically will test several combinations of Hyperparameter values and will eventually return the best selection choice with K-Fold cross validation. And the experimental results shows in higher accuracy with ours proposed architecture and in our proposed architecture results we remove the randomness from the model. In the proposed architecture we can again rebuild developing our model using Keras Callback function by using this feature in our model it does not create any major difference in terms of accuracy. But as we know the accuracy will vary with parameter tuning. The main advantage of using Keras Callback function method is it’s saves a lot of time for building model and it is easy for debugging the model.
An Efficient Recommender System Technique in Social Networks Based on Association Rule Based Mining
Authors:   Dept. of CSE & IT, Assam Don Bosco University, Guwahati, India., Nandi Dr. Gypsy
Published: November 2019

A recommender system is an information filtering system that has become a buzzword in various areas of marketing and research such as movies, music, books, products and research articles. The main role of recommender systems is to guide users on a personal level to provide an optimum set of suggestions based on the users’ taste, explicit rating of items, his/her demographic and other related valuable information. In the past decade, several approaches have been discussed for recommendation of items to online users keeping in mind the accuracy of prediction, the cold-start problem and the problem of sparsity. However, most of these existing recommender system techniques have failed to define a proper recommendation model that can be well suited for any online social network and can consider majority of the limitations when modeling real-market recommendations. In this paper, we present a novel efficient recommender system technique RecGyp and many other standard commonly used existing prediction techniques and also perform experimental evaluations to make a comparative analysis among each technique. The experiments carried out on the MovieLens 100K and the Yahoo! Webscope Movie datasets demonstrate the superior nature of the proposed RecGyp technique in solving the scalability issue and accuracy of results for recommending items to users of a social network. In addition to the traditional similarity measurements evaluation, results are also provided for three evaluation metrics, Precision, Recall and ROC, to evaluate the accuracy of all the recommender system techniques.
Impact of Ground Water Due to the Solid and Liquid Dump and Evaluating Various Parameters in the Leachate
Authors:   Department of Civil Engineering, Gokaraju Ranga Raju College of Engineering and Technology , Hyderabad, Telangana state India., Charyulu S.Venkat
Published: November 2019

Dumping of solid waste, garbage is very new science to local places and surrounding areas which It effects the ground water and nearby places . In this paper, important of leachate effects and the it rate pollutions interns of chemical tests. Here it is discussed about the Jawaharnagar local area which is situated in medchal village , Hyderbad city Telangana state India In this venture, the nature of groundwater around the Jawahar nagar GHMC dumping yard, fully effected which is situated in Medchal- Malkajgiri locale , close Kapra, India., the rate of plootion is has been explored via completing Physical and chemical investigation on groundwater and leachate tests gathered from the site, done to BIS standard. The technique incorporates computing the dissolved solids, pH, electrical conductivity, total disintegrated solids, Alkalinity, all out hardness, chlorides and nitrates in (ppm) parts per Million ( aside from pH ), along these lines it is trailed by depicting ventures for structuring the reasonable landfill according to standard rules alongside different methods to neutralize supporting issue. finally it conclude the pollution intensity which has effected surrounding area with different chemical effects and measures to carried for the same. Finally evaluated values are expressed in the form of tabular column The ground water pollution in the jawahar nagar observed physical and chemical values are that polluated and need design of land fill
Fuzzy Optimal Policy of Some Inventory System
Authors:   Pabitra Kumar Tripathy, Department of Computer Science & Engineering, Kalam Institute of Technology, Berhampur Odisha, Tripathy Pabitra Kumar , Rath Subhendu Kumar ,   Subhendu Kumar Rath, Deputy Registrar, Biju Patnaik University of Technology, Rourkela, Mohanty Sachinandan ,   Sachinandan Mohanty, Department of Computer Science & Engineering, GIFT, Bhubaneswar
Published: November 2019

Inventory management is a very important function that determines the health of the supply chain as well as the impacts the financial health of the balance sheet. Each and every organization implements different types of inventory systems to maintain optimum inventory to be able to meet its requirements and avoid over or under inventory that can impact the financial figures. The Inventory system is always dynamic. So with the help of fuzzy system it tries to develop a robust inventory model which will involve trade credit system assuming with cost fuzzy parameters.
Traffic Deadlock Resolution System using Internet of Vehicles
Authors:   Amity Institute of Information Technology, Amity University, Noida, India., Roy Arpit , Bathla Ruchika ,   Amity Institute of Information Technology, Amity University, Noida, India., Saini Sonia ,   Amity Institute of Information Technology, Amity University, Noida, India.
Published: November 2019

The number of vehicles on the road are increasing rapidly day by day, which leads to massive road congestions and traffic deadlocks. This paper proposes a model for an algorithm-based technique for efficient resolution of road traffic deadlocks, which would work on the technologies related to the Internet of Vehicles (IoV), while keeping the safe and efficient movement of vehicles along with the maintenance of constant communication with nearby vehicles and roadside infrastructure using Vehicular Ad-hoc Networks (VANETs). This would ultimately aid towards the optimization of road traffic, which is very much a need of the hour considering the ever-increasing amount of traffic on the roads today. We make use of two important phases, namely, Deadlock Detection Phase and Deadlock Resolution Phase in order to resolve traffic deadlocks. An equally important focus has been put towards a deep understanding of the motivation behind the efforts put in this paper by examining the present scenario of road traffic conditions and their resulting complications, and how the proposed model could potentially help resolve such complications. It also involves a brief discussion on VANETs, which provides an efficient means of connecting the vehicles together in a network for seamless communications.
Neural Network Based Pest Identification and Control in Cauliflower Crop using Sounds of Pest
Authors:   Research Scholar , Sathyabama Institute of Science & Technology, India., J Adeline Sneha , Chakravarthi Rekha ,   Associate Professor, Sathyabama Institute of Science & Technology.
Published: November 2019

The quantity of pesticides usage in the field increases every year, which in turn affects the nutrients present in the crop. These pesticides also cause water contamination, air pollution, serious health problems in humans and finally making the soil infertile. Necessary action has to be taken to protect the environment and crops from chemicals. A well-established automatic acoustic detection of pest for early pest detection is suggested in this paper. Acoustic identification technique of signal analysis is extensively implemented in agriculture to give maximum protection of crops, ultimately resulting in better production. Successful eradication of pest lies in identification of pest without damaging the nutrients and crops. The proposed technique detects the presence of pests in the initial stage. The sounds of different pests which are dreadfully affecting the agricultural crops are collected. The signals of pests are analyzed in time domain and frequency domain specifications. The features of different pests are extracted using Mat lab programming. The various statistical features of pest are trained and given to the hidden layer of neural network where it automatically classifies the pest indicating the presence of pest. The Back-Propagation algorithm is used for training the samples. When the identification of pest has been done, the pest can be killed by the microwave shock rather than applying highly toxic chemicals. This technique also benefits the farmer by avoiding contact with the pesticides. Direct contact with the pesticides sometimes causes skin cancer to farmers. The technique suggested in this paper is harmless to the farmers and crops, hence increases the production.
Development of Qualitative Model for Detection of Lung Cancer using Optimization
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Venkatesh C , Bojja Polaiah ,   Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: November 2019

As of late, expectation of cancer at prior stages is mandatory to increase the opportunity of survival of the harassed. The most appalling sort is lung cancer, which is most common malady these days. So to dispose of it a detection framework is proposed. The objective of this paper is to investigate a practical segmentation algorithm with optimization system for therapeutic images to abridge the doctors' understanding of CT images. Recent medicinal imaging modalities produce enormous images that are incredibly terrible to examine physically. The outcomes of segmentation algorithm depend on the exactitude and intermingling time. In this paper, a qualitative detection model is proposed to partition the CT images of lung cancer. The detection framework shaped the obtained therapeutic images of lung CT images. To begin with, in pre-processing stage the median filter is utilized for noise reduction and smoothing. Later Otsu’s segmentation is applied to separate locale of enthusiasm from lung cancer images along with particle swarm optimization to get more accuracy and also for feature extraction LBP is connected. Here, the proposed model is framed by utilizing SVM technique for classification. Using MATLAB, simulation results are obtained for cancer detection system and these results are compared with other optimization techniques.
Development and Evaluation of Mathematical Model based Region of Interest for Rotary kiln Burning Zone Temperature in Cement Industry by Digital Image Processing
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Prasanna N Merrin , Bojja Polaiah ,   Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: November 2019

Industrial processes particularly cement manufacturing unit consumes about 7% of total fuel used in the industry and hence there are strenuous efforts to reduce the fuels and lower the production costs by applying Optimal Control Algorithms. In order to achieve these parameters in the Rotary Kiln Plant, we need to continuously monitor the temperatures of the burning zone inside the rotary kiln at Regions of Interest (ROI) in real-time. In this image processing setup a thermal camera samples the temperatures inside the kiln at a rate of 5 frames per 2 seconds. The images which are highly sensitive to red and green wavelengths provide sufficient resolution to differentiate between various burning temperatures. The present burning zone temperature measurement obtained from the radiation pyrometer is not reliable on the one hand and indicates temperature information about particular point in the burning zone on the other hand. This is inadequate for optimizing the operation the kiln where a kiln furnace camera has been already installed at the plant for watching the burning status the inside the kiln. Software will be developed to determine the temperature T, for the video captured from the camera. Presently real time video from the camera is displayed in a computer monitor at kiln control room. We will tap the video signal from the setup and the calculate the burning zone temperature at the Region of Interest utilizing real time Image Processing Technologies. The temperature signal so estimated will be validated using the radiation pyrometer signal obtained from the field. The graphical tool developed in MATLAB automatically converts the receiving color images to temperature measure by proposed algorithms and also interactively analyzes the temperatures in a neat graphical user interface, in less than 2 seconds duration. ROI can be selected by a movable and re-sizable window which acts like a probe on the kiln temperatures at this instant, then displays the summary statistics of the temperatures. The tool is extended to provide a real-time graph of average temperature in the ROI over a long time when the probe is fixed at a particular region. However, the developed temperature tool and the point burning zone temperature measured by a proposed mathematical model as like thermocouple in the plant. The results are carried out by MATLAB software and benefits will be quantified in terms of enhancement in the Production efficiency, Energy efficiency, Pollution Control and clean environment.
Genetic Algorithm – A Sensible Evolutionary Optimization Technique
Authors:   Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India, Muthulakshmi P
Published: November 2019

The study presents a pragmatic outlook of genetic algorithm. Many biological algorithms are inspired for their ability to evolve towards best solutions and of all; genetic algorithm is widely accepted as they well suit evolutionary computing models. Genetic algorithm could generate optimal solutions on random as well as deterministic problems. Genetic algorithm is a mathematical approach to imitate the processes studied in natural evolution. The methodology of genetic algorithm is intensively experimented in order to use the power of evolution to solve optimization problems. Genetic algorithm is an adaptive heuristic search algorithm based on the evolutionary ideas of genetics and natural selection. Genetic algorithm exploits random search approach to solve optimization problems. Genetic algorithm takes benefits of historical information to direct the search into the convergence of better performance within the search space. The basic techniques of evolutionary algorithms are observed to be simulating the processes in natural systems. These techniques are aimed to carry effective population to the next generation and ensure the survival of the fittest. Nature supports the domination of stronger over the weaker ones in any kind. In this study, we proposed the arithmetic views of the behavior and operators of genetic algorithm that support the evolution of feasible solutions to optimized solutions.
Collaborative Communication Based Modern Cellular Planning and Optimization of the Network Performance Parameters using Ga
Authors:   Electronics and Communication Department, Sarvajanik College of Engineering and Technology, Surat, India., Dastoor Sarosh , Dalal Upena ,   Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India, Sarvaiya Jignesh ,   Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India.
Published: November 2019

Cellular planning and dimensioning plays a vital role for streamlining the wireless system design and its optimal roll-out. The state-of-art of radio network design depends on thorough initial planning, clear dimensioning and optimal deployment. Mathematical characterization of user coverage and proper modelling is the prime step to design, optimize and automate a wireless network. A novel dimensioning technique using collaborative communication, for cellular network design has been discussed in the paper and the corresponding radio network parameters like transmission power, receiver throughput and Base Station position has been optimized using modern technique of optimization. With proper cellular network planning, the base station parameters could be tuned to achieve the required QoS (Quality of Service) for meeting the requirements of NG (Next Generation) wireless mobile network. Proposed strategy has been analysed with adaptable radii cells establishing a cluster of users to be dimensioned in a given area. Based on minimum distance between the centroid of two cells in a cluster, the inner coverage for the BS deployment is obtained and outer radial coverage is taken double of the inner radius. The total transmission power requirement is calculated and minimized by adjusting the coordinates of the BS using Genetic Algorithm (GA). With the proposed method, 17.6% power saving and 65.68% improvement in throughput was found at the receiver side as compared to conventional constant radius method.
Smart Cradle System for Child Monitoring using IoT
Authors:   Department of ISE, BMS College of Engineering, Bangalore, India, Srivastava Amol , Yashaswini B.E. ,   Department of ISE, BMS College of Engineering, Bangalore, India, Jagnani Akshit ,   Department of ISE, BMS College of Engineering, Bangalore, India, K Sindhu ,   Department of ISE, BMS College of Engineering, Bangalore, India.
Published: November 2019

The current era of digitization provides a large-scale availability of data as well as computing capability which can be used to bridge the gap between a child and a working mother. This paper proposes the use of “Smart Cradle” an E-Cradle which involves the use of Internet of Things. The proposed solution involves live monitoring of the child through a mobile application remotely. The smart cradle incorporates the use of PIR sensor for monitoring the movement of the child; Noise sensor for the detection of the child’s crying activity and automatically swings the cradle to soothe the child. The DHT sensor notifies the parent about the body temperature of the child via text message, when the temperature goes above the set threshold. The solution also includes moisture sensor to maintain the hygiene of the child. The proposed system uses the cloud service for remotely monitoring the child.
Ineffectual Neuron Free Deep Learning Accelerator
Authors:   Electronics and Communication Engineering, GMR Institute of Technology, GMR nagar, Rajam, India., Tanvi B. Nikhita , Azees Maria ,   Electronics and Communication Engineering, GMR Institute of Technology, GMR nagar, Rajam, India., Suresh G. ,   Electronics and Communication Engineering, GMR Institute of Technology, GMR nagar, Rajam, India.
Published: November 2019

Convolutional neural network (CNN) is actually a deep neural network which plays an important role in image recognition. The CNN recognizes images similar to visual cortex in our eyes. In this proposed work, an accelerator is used for high efficient convolutional computations. The main aim of using the accelerator is to avoid ineffectusal computations and to improve performance and energy efficiency during image recognition without any loss in accuracy. However, the throughput of the accelerator is improved by adding max-pooling function only. Since the CNN includes multiple inputs and intermediate weights for its convolutional computation, the computational complexity is increased enormously. Hence, to reduce the computational complexity of the CNN, a CNN accelerator is proposed in this paper. The accelerator design is simulated and synthesized in Cadence RTL compiler tool with 90nm technology library.
Temporal Performance Analysis of Enhanced 8 Bit RISC Architecture
Authors:   Dept of ETCE, Sathyabama Institute of Science and Technology, Chennai, India., Dudhane Tanaji M. , T Ravi ,   Dept. of ECE, Sathyabama Institute of Science and Technology, Chennai, India.
Published: November 2019

In this paper, we have proposed the development of the Enhanced 8-bit RISC architecture and the temporal performance analysis of the enhanced architecture. The enhanced 8 bit RISC architecture is powered with the additional block called as Co-operative Arithmetic and Logical Unit (CALU). The 8 bit core is designed using FPGA as SPARTAN-6 XC65LX9-3TQG144. The purpose of designing is to integrate number of instructions with additional instructions, which are 16 bits with keeping all original instructions execution having 8 bit format. We have designed the enhanced of 8 bit processor for improvement in speed as well as to speedup of the execution cycle, so that improvement in clock cycles per second for execution of an instruction. The Enhanced RISC architecture is fully compatible with the original core along with old instruction set. The CALU is designed to enhance the multi-byte capabilities of the core. The performance improvement in terms of the clock cycle savings has been recorded. The performance enhancement of average 71% has been recorded by the Enhanced core. The Enhanced RISC core has been developed and simulated on Xilinx Vivado 2017.3.