bluuebunny/crossref_metadata_2025 huggingface dataset:
Domain specific opinion mining
Authors: Thorat Surabhi , C.Namrata Mahender Dr.
Published: July 2019

The manuscript Social media is a very promising platform of communication between the peoples. Remarkable work has been done re- cently focusing on the analysis of social media in order to analyze the people thinking and behavioral trends about current topics of inter- est but still many challenges are yet to be uncovered. In this paper, we focused on analyzing the domain specific tweets collected from social media. To improve the result accuracy firstly we had done the polarity test to find the polarity of tweets categorized in negative, positive and neural labels. Secondly we applied N-gram model that assigns probabilities to sentences and sequences of words started from unigram, bigram, and trigram up-to four gram. Lastly, we performed association mining on the tweets to find the association of do- main specific data with its back and forth paired text.
Experimental investigations of methane hydrate in sediment suspensions
Authors: Radhika Ikkurti , S. R. Prasad Pinnelli , Suresh Babu Devarasetty
Published: July 2019

Methane hydrate structural stability and formation, were studied in water suspensions with synthetic clay (44.17nm),SiO2(60.62nm) and zeolite (35.08nm) at different weight percentages (1wt%,10wt%,20wt%) in isochoric method using stirred autoclave. The for- mation kinetics in these sediments greatly differs from those of the bulk hydrate owing to surface and capillary effects in the pores. It has been confirmed that hydrate formation in confined pores is severely restricted due to increased inner capillary pressure. Further- more in principle , the clay particles suspended in water play a negative role in structuring the crystalline hydrate .More specifically, even though the addition of clay enhances the hydrate yield insignificantly, from our results, the addition of sediments did not affect the phase equilibrium much because water exists in excess around clay particles and therefore the hydrate formed in the bulk water phase is much more dominant than that in the pores.
Intrusion detection using ant colony approach in wireless sensor networks
Authors: Agarkhed Jayashree , Kalnoor Gauri
Published: July 2019

Design of an intrusion detection system in the sensor network to improve the behavior of the network is the major challenge is theVariety of intrusion detection mechanisms are being used now a days, to provide security in Wireless Sensor networks (WSN). Since WSN works with set of tiny nodes called as sensor nodes, there are high chances of intrusions for malicious attacks. WSN is deployed in medium open to many users wherever possible. A multiple sensing environment of WSN consists of sensors which acts as agents called as multi agents system for detecting an intruder. Ant colony is an effective approach where each agent communicate with each other for updating the information of intruder to the colony administration. The multi agents based system is best phenomenon suitable for optimization of ant colony. In this approach, the ants form a colony where it goes for search continuously until an intruder is found and once searched, it returns back with the best shortest path available with path traces stored in its database for its future reference. An optimized multi agent approach using ant colony is proposed for detection of lightweight intruders for WSN to protect against harmful malicious attacks.
Active & reactive powers control of DFIG placed with wind energy system by using hybrid controller
Authors: Vasavi Uma Maheswari M. , P. V. Ramana Rao Dr. , . .
Published: July 2019

Here paper presents around the Active power along with Reactive power clout of a grid allied doubly fed Induction Generator (DFIG) with wind energy system (WES) employing PI & ANFIS controller. DFIG is formed adapting a d-q revolving allusion cage circuit with stator flux oriented, field oriented clout approach. By using a coterminous converter of Variable speed constant Frequency (VSCF) along with active the reactive power and DC tie voltage are controlled at sub and super synchronous speeds. An ANFIS has been coupled by a conventional PI controller in order to enhance the power controlling capability at steady state and voltage dip conditions
Investigation on the use of cold formed perforated steel sections as columns and purlins
Authors: V.V Athira , S Sruthy
Published: July 2019

Perforations are required in columns and purlins of a trussed building for making connections, for fixing electrical fixtures etc. An inves- tigation was undertaken to study the effect of perforations in cold-formed C and Z sections used as columns and purlins. For this purpose, finite element model was developed using ANSYS software. Six different shapes of perforations were considered to investigate the shape that gives maximum buckling load. The perforation pattern which is optimum for the individual section was applied to frames and then to the building and optimum type of perforation is suggested. Buckling loads of frames and building with and without perforation was done separately and results were compared. By considering perforations with equal area, linear buckling analysis was done and stress pattern around perforation was studied. Even though the area reduction was equal, differently shaped perforations gave different buckling load. In this case, stress concentration has an important role; buckling load is higher for the shape with least stress concentration.
A brief review on text summarization methods
Authors: Rautray Rasmita , Swain Lopamudra , Dash Rasmita , Dash Rajashree
Published: July 2019

In present scenario, text summarization is a popular and active field of research in both the Information Retrieval (IR) and Natural Language Processing (NLP) communities. Summarization is important for IR since it is a means to identify useful information by condensing the document from large corpus of data in an efficient way. In this study, different aspects of text summarization methods with strength, limitation and gap within the methods are presented.
Symmetrical and asymmetrical cascaded multilevel inverter for photovoltaic system
Authors: Gowrishankar J. , Balasundaram G. , JayaKishore R. , Belwin Edwardd J.
Published: July 2019

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.
Design of floatable monolithic breakwater structure to ensure tranquility in port and harbor basins
Authors: Sebastian Anjali , S Sruthy , Thuvassery Jayadeep
Published: July 2019

The objective of this paper is to present the selection, the detailing and optimal design of a floatable monolithic breakwater structure at Ponnani harbour in Kerala, India. Ponnani fishery harbour is an estuarine harbour and the breakwaters here serve the main purpose of river training bunds. Studies on preliminary analysis of tranquility condition in front of the wharf structure at Ponnani fishery harbour was conducted jointly by the Investigation subdivision, Beypore and Centre for Water Resources Development and Management (CWRDM), Pune. It has been noticed that due to seasonal variation in the wave directions, wave heights inside the basin areas and near the water front structures of the harbour are not within the permissible limits. A floating breakwater structure (FBS) is suggested to change the direction of waves and surges with seasons.The present proposal consists of construction of a floatable monolithic breakwater structure of length 70m. A pile restrained pontoon floating breakwater structure is adopted for Ponnani harbour. The ability of FBS to attenuate the incident wave is determined by calculat-ing the transmission coefficient. Theoretical formulas are used to check the effectiveness of the suggested FBS. The FBS has been mod-elled, analysed and arrived at an optimal design using the ANSYS software.
Gold price prediction using an evolutionary pi-sigma neural network
Authors: Dash Rajashree , Routray Anuradha , Rautray Rasmita , Dash Rasmita
Published: July 2019

Gold Price Prediction has always been a fascinating area of study for researchers and decision makers who wish to determine its future value efficiently and accurately. In this study a predictor model is designed using a Pi-Sigma Neural Network (PSNN) for prediction of future gold price. Two evolutionary estimation paradigms such as Particle Swarm Optimization (PSO) and Differential Evolution (DE) are suggested during training step of the Pi-Sigma Neural Network to optimize the tunable weights of the network. The model is evaluated based on certain performance evaluation criteria such as Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) over two dataset such as Gold/INR and Gold/AED accumulated within the same period of time. The result analysis illustrates the better prediction
Server-based positioning system using Bluetooth low energy technology for tracking assets in hospitals
Authors: Brito Diogo , Leiva-Marcon Lionel , Paiva Sara
Published: July 2019

In this paper we present a server-based positioning system to track assets in a hospital environment, using Bluetooth low energy technology. The need to easily and quickly find equipment is undeniable and can sometimes be a life or death situation. We present the system architecture and the components we rely on to calculate distance and equipment coordinates. The main purpose of this solution is to allow medical personnel to find an equipment through a desktop computer in the hospital floor. We also present tests made with several materials that are present in a hospital environment and that can influence the signal.
Identification of key challenges associated with the implementation of renovation & modernization (r & m) projects in India using factor analysis
Authors: Bajpai Purnima , K. Chandrashekhar Iyer Prof. , Bansal Shubham
Published: July 2019

The Renovation & modernization (R&M) of coal fired thermal power plants deals with making the power plants units well equipped with the latest technology and systems with an aim of improving their overall performance in terms of output and availability as compared to the original design values, reduce the maintenance cost and enhanced efficiency. The aim of this study was to identify the key challenges associated with implementation of R & M Projects in India. An exploratory study of 42 variables was conducted through factor analysis using the data obtained through a questionnaire survey approach The results obtained 6 key challenges , namely Contractual risks, funding risks, planning risks, regulatory risks, market related risks and management risks which hamper the rate of implementation of R & M Projects in India.
Visual Feature Based Image Forgery Detection
Authors: Vaishnavi D. , Mahalakshmi D. , Siva Rao Alapati Venkata
Published: July 2019

In present days, the images are building up in digital form and which may hold essential information. Such images can be voluntarily forged or manipulated using the image processing tools to abuse it. It is very complicated to notice the forgery by naked eyes. In particular, the copy move forgery is enormously demanding one to expose. Hence, this paper put forwards a method to determine the copy move forgery by extracting the visual feature called speed up robust features (SURF). In the direction to quantitatively analyze the performance, the metrics namely false positive rate and true positive rate are estimated and also comparative study is carried out by previous existing methods.Â Â
A Survey on Diagnosing Health by Using Iot-Wearables Patient Centric Care
Authors: S. Laxmi Sunaina Ms. , Ravula Arun Kumar Mr. , Roja Gurrapu
Published: July 2019

The expanded utilization of versatile innovations and gadgets in the zone of smart pure technology has caused the awesome effect on the world. Over 60-70% are over polluted with diseases and Expert specialists are progressivelychecked done and exploiting the advantages these advancements bring and achieve, in this way creating an optimal noteworthy change and in especially medicinal services in and out clinical settings of them. Similarly, incalculable standard clients are being part of serve from the upsides of I-Health (Versatile Health) applications of some E-Health (human services upheld of group ICT) to enhance, help the order and help their Smart I-Health. Applications to be that have had a notableshelter for these regulars, so natural disorder. The Internet-o- things is increasingly permitting to meet and incorporateIOT equipped to interface with the web and give some approx. data on the disorder of E-Health of patients to be motivated and give statisticsendlessly to specialists who help the disorder. Unmistakably endless infections, for example, diabetes,B-p, kidney, heart, and increased weight among others, are part of exceptional on the content planet monetary to and social level mandatory issue. The point to be of this Paperseems to build up a content design completely based on a meta-physics equipped for keeping checking the E-Health and exercise the max routine suggestions and also to patients with everlasting infections.Â Â
Detection of Masses in Mammograms using Bayesian Method and Machine learning
Authors: Chatterjee Priyadarshini , Mamatha Ch. , Jagadeeswari T. , Chandra Shekhar Katha
Published: July 2019

Every 100th cases in cancer we come across are of breasts cancer cases. It is becoming very common in woman of all ages. Correct detection of these lesions in breast is very important. With less of human intervention, the goal is to do the correct diagnosis. Not all the cases of breast masses are futile. If the cases are not dealt properly, they might create panic amongst people. Human detection without machine intervention is not hundred percent accurate. If machines can be deeply trained, they can do the same work of detection with much more accuracy. Bayesian method has a vast area of application in the field of medical image processing as well as in machine learning. This paper intends to use Bayesian probabilistic in image segmentation as well as in machine learning. Machine learning in image processing means application in pattern recognition. There are various machine learning algorithms that can classify an image at their best. In the proposed system, we will be firstly segment the image using Bayesian method. On the segmented parts of the image, we will be applying machine learning algorithm to diagnose the mass or the growth.Â Â
Face Recognition Approaches: A Survey
Authors: A.	Mallikarjuna Reddy A. , Venkata Krishna V. , Sumalatha L.
Published: July 2019

Face Recognition (FR) is a significant area in computer vision plus pattern recognition. The face is the easiest mode to discriminate the specific individuality of every other. FR is a particular identification scheme that usages particular features of an individual to recognize the individual's identity. The challenges in FR are aged, facial terms, variations in the imaging surroundings, illumination plus posture of the face.Â  Specially, in this study firstly we mark an outline of FR that includes definition, types and problems. Secondly, we provided a complete related work of FR.Â  The objective of this study is to provide a comprehensive outline on the work that has been carried out over the previous spans in the progressing area of FR. This study offers an extensive view of theories, methodologies, up-to-date techniques for FR.Â
Change detection analysis of reservoirs and lakes in Multi-Temporal Landsat-7 (ETM+) data over the Indian sub-continent during 2008-2018
Authors: Chandrababu Naik B. , B. Anuradha Prof. , . .
Published: July 2019

Remote sensing change detection techniques are extensively used in numerous applications such as land cover monitoring, disaster monitoring, and urban sprawl. The main motive of this paper study the change detection analysis of Land Use / Land Cover (LULC) in different lakes and Reservoirs, such as Chilika Lake, Pulicat Lake, Vembanad Lake, Penna Reservoir, and Nagarjuna Sagar Reservoir located in the Indian subcontinent region.Â  The analyses and changes are evaluated during period of 2008 - 2018 in multi-temporal Landsat-7 (ETM+) data. The major disadvantage in Landsat-7 for data acquired from satellite sensor, is that it includes strips (gaps) in an image. On May 31, 2003 the Scan-Line-Corrector (SLC) failed completely, due to 22% of pixel information lost in the Landsat-7 data. The focal analysis method is applied to the required image for removing all strips (gaps). Change detection using Image Differencing technique, maximum changed area and unchanged area detect the different Lakes and Reservoirs in the period of 2008-2018. The unsupervised classification is used to compute the accuracy assessment analysis. Excellent results are obtained by using accuracy assessment for different Lakes and Reservoirs from 2008 to 2018, with the overall accuracy of 91.59%, and overall kappa statistics of 0.9032. The percentage of a decreased area is more in 2018 as compared to 2008 and it concludes that the percentage of decreased area is more as compared to the percentage of increased area for acquired Landsat-7 data.Â Â
Speech Recognition Using Convolutional Neural Networks
Authors: Nagajyothi D. , Siddaiah P.
Published: July 2019

Automatic speech recognition (ASR) is the process of converting the vocal speech signals into text using transcripts. In the present era of computer revolution, the ASR plays a major role in enhancing the user experience, in a natural way, while communicating with the machines. It rules out the use of traditional devices like keyboard and mouse, and the user can perform an endless array of applications like controlling of devices and interaction with customer care. In this paper, an ASR based Airport enquiry system is presented. The system has been developed natively for telugu language. The database is created based on the most frequently asked questions in an airport enquiry. Because of its high performance, Convolutional Neural Network (CNN) has been used for training and testing of the database. The salient feature of weight connectivity, local connectivity and polling result is a through training of the system, thus resulting in a superior testing performance. Experiments performed on wideband speech signals results in significant improvement in the performance of the system in comparison to the traditional techniques.Â
Co- Disease Prediction using Multileyer Perceptron and Classification from Diabetic Medical Data Sets
Authors: Ahmed Khan Shahebaz , Seemakurthi Dr. , Akhil Jabbar Dr.
Published: July 2019

Artificial Neural Networks (ANN) techniques have the important concepts those can be used in the present scenario of the medical world. It has made the medical field to formulate easy steps to detect and predict the diseases like diabetes, thrombocytopenia, heart diseases, brain tumor, cancer etc. The classification methods available in the data mining theories and ANN gradually help to predict the data for the future analysis by building the classification models. In this paper, the results and the research work carried out on diabetic medical data using the artificial neural network algorithms like multilevel perception and its application over such data so as to predict the Â Â Â Â Â diseases are discussed. The rules developed will be helpful to detect the co-disease in the diabetic patients and we have ranked them as per the final classifier for prediction. The proposed classification algorithm has accurately predicted the data with and without feature subset selection.Â Â
Maximum Power Point Tracking for Shaded Photovoltaic Generation Using P&O Fuzzy Logic Approach
Authors: Reddy B Rajagopal , . .
Published: July 2019

A fuzzy logic based photovoltaic controller for shaded photovoltaic power generation is proposed based on P&O MPPT method. To obtain stable operation and maximum output, the parameters of fuzzy logic controller is adjusted in real time for various shaded conditions. The performance of proposed method of fuzzy controller is examined and validated using MATLAB/Simulink environment.
Wastage Pay Smart Bin
Authors: Karuppiah N. , Senthil Kumar S. , Ravivarman S. , Joel Joshuva P. , Prabhu A. , Arun Kumar R.
Published: July 2019

The separation of waste materials into degradable and non-degradable waste is one of the major issues in our country. As the plastic materials cause major harm to the humans as well as the environment it should be separated and effectively recycled. The non-degradable plastic wastes do not allow the rain water to pass through it thereby decreasing the ground water level. If these wastes are burnt, it emits carbon monoxide which is harmful to the humans. Our project is to encourage the people to dump and segregate the waste materials in their households using smart bins. The separation of the plastic waste is done by using capacitive type proximity sensor and ultrasonic sensor. In order to encourage the people to collect and segregate the waste materials, in large amount, they are rewarded for the amount of waste that they collect and segregate. The amount of waste collected is displayed in the website and in their mobile phones with the amount of reward points earned. The customers redeem their reward points in the shops mentioned in the website.
Target Channel Selection Algorithm for Cognitive Radio Network
Authors: K.S Yuvaraj , P. Priya , V. Thiagarasu
Published: July 2019

Cognitive radio network has attained more popularity because of giving prominent solution for spectrum inefficiency due to static spectrum allocation. This research proposed target channel selection algorithm which have been employed to improving the throughput and reducing number of handoffs. The proposed target channel selection algorithm is select the channel based on the idle probability and efficiency reward of channel and these are calculated from the surveillance of earlier usage statistics. When the channel selection is based on the above factor, the Secondary User gets chance to utilize the Primary user channel in maximum time to achieve optimal goal. The results show that proposed algorithm-based channel selection shows the better performance than existing algorithms in factors such as throughput, number of handoffs and collision rate.
Enhancing the performance of Transmission Lines by FACTS Devices using GSA and BFOA Algorithms
Authors: Karuppiah N. , Muthubalaji S. , Ravivarman S. , Asif Md. , Mandal Abhishek
Published: July 2019

Flexible Alternating Current Transmission System devices have numerous applications in electrical transmission lines like improvement of voltage stability, reactive power compensation, congestion management, Available Transfer Capacity enhancement, real power loss reduction, voltage profile improvement and much more. The effectiveness of these FACTS devices is enhanced by the placement of these devices in the transmission lines. The placement is based on transmission line sensitivity factors such as Bus voltage stability index and line voltage stability index. This research article focuses on optimizing the location, number and ratings of FACTS devices using Evolutionary Algorithms like Bacterial Foraging Algorithm and Gravitational search algorithm. FACTS devices such as Static Var Compensator, Thyristor Controlled Series Capacitor and Unified Power Flow Controller are placed on IEEE 14 bus and IEEE 30 bus systems for reducing the real power loss in the transmission system. The results show that the performance of the transmission lines is enhanced more using Bacterial Foraging Algorithm than Gravitational Search Algorithm.
LBP and GLCM Based Image Forgery Recognition
Authors: Vaishnavi D. , S. Subashini T. , N. Balaji G. , Mahalakshmi D.
Published: July 2019

The forgery of digital images became very easy and it’s very difficult to ascertain the authenticity of such images by naked eye. Among the various kinds of image forgeries, image splicing is a frequent and widely used technique. Even though various methods are available to detect image splicing forgery, authors have attempted to provide a novel hybrid method which can yield greater accuracy, sensitivity and specificity. In this method, gray level co-occurrence matrix (GLCM) features are extracted using local binary pattern (LBP) operator on the image and the detection of the splicing forged images among the authentic images is done using the popular pattern recognition algorithms such as combined k-NN (Comb-KNN), back propagation neural network (BPNN) and support vector machine (SVM). The recorded results are also compared with the existing results of the previous studies to ascertain the quality of the results.
Adaptive ARX Rate Controller for multi hop MANET
Authors: R.Radha Dr. , Kathiravan Kannan Dr. , Bhuvaneswari S.
Published: July 2019

TCP is a well-known transport protocol developed for wired networks. But, TCP does not work well in multi-hop MANET due to burst nature. It further leads to severe intra-flow interference which reduces the throughput. In this paper, by using classical control theory, a rate based congestion control algorithm is proposed. For multi-hop MANET the number of outstanding packets in the end-to-end path should not exceed the upper bound of bandwidth delay product that is equal to h/4 where h refers to Round trip hop-count. This value has been taken as reference in our algorithm. Our algorithm regulates its sending rate based on the feedback received from plant (Multi-Hop MANET) to meet the objective point. The proposed system is estimated using ARX model where the output obtained from our system is verified against the estimated values using MATLAB coding. We also evaluate our algorithm against TCP using ns2.35 Simulator in terms of Throughput, Delay, Contentions and Packet Drop Rate
Generalized solution for inverse kinematics problem of a robot using hybrid genetic algorithms
Authors: Kumar K Pavan , Mohan J Murali , D Srikanth
Published: July 2019

The robot control consists of kinematic control and dynamic control. Control methods of the robot involve forward kinematics and inverse kinematics (IK). In Inverse kinematics the joint angles are found for a given position and orientation of the end effector. Inverse kinematics is a nonlinear problem and has multiple solutions. This computation is required to control the robot arms. A Genetic Algorithm (GA) and Hybrid genetic algorithm (HGA) (Genetic Algorithm in conjunction with Nelder-Mead technique) are proposed for solving the inverse kinematics of a robotic arm. HGA introduces two concepts exploration, exploitation. In an exploration phase, the GA identifies the good areas in entire search space and then exploitation phase is performed inside these areas by using Nelder- mead technique Binary Simulated Crossover and niching strategy for binary tournament selection operator is used. Proposed algorithms can be used on any type of manipulator and the only requirement is the forward kinematic equations, which are easily obtained. As a case study inverse kinematics of a Two Link Elbow Manipulator and PUMA manipulator are solved using GA and HGA in MATLAB. The algorithm is able to find all solutions without any error
Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance
Authors: Sirisala Nageswara Rao , Bandi Raswitha
Published: July 2019

Mobile ad-hoc network (MANET) is a decentralized and infrastructure less network where a nodes can communicate with other nodes within the access region. Due to mobility node can enter and leave a network at any moment. Due to unstable nature of MANETs, the provision of Quality of Service (QoS) to the applications is a difficult task. In this paper, fuzzy logic enabled QoS multicast routing is proposed. Here energy, bandwidth and link expiry time are considered as a QoS parameters. The existing methods lost their performance in handling multi constrained QoS protocols, since defining the dynamic priorities among the multiple QoS parameters is not a trivial task. In the proposed method “Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance-FQML”, this issue is overcome by using fuzzy logic. The Competency Factor of each intermediate node along the route is calculated by aggregating it’s QoS parameters using fuzzy inference system. In the classical multicast protocols, some of the nodes in the multicast tree are overloaded by having multiple branches towards the destination nodes. This leads to partition of the multicast tree and degrades the performance of protocols. In the proposed method, this problem is handled by limiting the number of branches at intermediate nodes. The results are taken in network simulator-ns2, where the proposed method could measure less number of path failures and improved results than existing methods.
Test Case Optimization and Prioritization Using Improved Cuckoo Search and Particle Swarm Optimization Algorithm
Authors: Reddy T Chandrasekhara , V Srivani , Mallikarjuna Reddy A. , Vishnu Murthy G.
Published: July 2019

For minimized t-way test suite generation (t indicates more strength of interaction) recently many meta-heuristic, hybrid and hyper-heuristic algorithms are proposed which includes Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), Genetic Algorithms (GA), Simulated Annealing (SA), Cuckoo Search (CS), Harmony Elements Algorithm (HE), Exponential Monte Carlo with counter (EMCQ), Particle Swarm Optimization (PSO), and Choice Function (CF). Although useful strategies are required specific domain knowledge to allow effective tuning before good quality solutions can be obtained. In our proposed technique test cases are optimized by utilizing Improved Cuckoo Algorithm (ICSA). At that point, the advanced experiments are organized or prioritized by utilizing Particle Swarm Optimization algorithm (PSO). The Particle Swarm Optimization and Improved Cuckoo Algorithm (PSOICSA) estimation is a blend of Improved Cuckoo Search Algorithm(ICSA) and Particle Swarm Optimization (PSO). PSOICSA could be utilized to advance the test suite, and coordinate both ICSA and PSO for a superior outcome, when contrasted with their individual execution as far as experiment improvement.
Analysis and presenting the educational techniques in Machine and Deep Learning Short communication
Authors: Rahul S , . .
Published: July 2019

This paper gives a present of general learning of deep methodology and its applications to a variety of signal and data processing schedules. It is discussed about Machine learning vs. Deep Learning a brief and which is best suited in the market, Dissimilarities, Problem handling, Interpretability, Comparative and different options between cubic centimeter and metric capacity unit and concluded by justifying deep learning is a part of Machine learning and Machine learning is a part of Artificial intelligence.
Analysis and presenting the educational techniques in Machine and Deep Learning Short communication
Authors: Rahul S
Published: July 2019

This paper gives a present of general learning of deep methodology and its applications to a variety of signal and data processing schedules. It is discussed about Machine learning vs. Deep Learning a brief and which is best suited in the market, Dissimilarities, Problem handling, Interpretability, Comparative and different options between cubic centimeter and metric capacity unit and concluded by justifying deep learning is a part of Machine learning and Machine learning is a part of Artificial intelligence.
Iot Based Smart Jar For Connected Devices Using Machinelearning
Authors: R Neelaveni. , Sridevi B.
Published: July 2019

The smart jar enables us to keep track of the medicines stocks with the help of an android app easily accessible anywhere with a simple internet connection. The jar contains an ultra-sonic sound waves emitter and sensor which uses the reflected ultra-sonic waves to find out what level the jar is filled to and how much empty space remains in jar yet to be filled. This sensor is also connected to the internet and interfaced with the application so that as soon as the level of content in the jar changes the data is updated to us in the application without any delay. This helps us in monitoring the stocks and prepare for restocking from anywhere,additionally it also provides important data such as the expiry date and the manufactured data of the content in the jar.  .
Defending Iot from Ddos Using Lightweight Authentication
Authors: A. Vani G. , Metilda Florence M.
Published: July 2019

The emergence of Internet of things (IoT) is due to its   ability to dutifully transfer the data through a network. Now the concern is that security is not considered as main priority while developing the product. IoT is prone to vulnerabilities where Botnet and DDoS kind of attacks are common and a major issue that has to be considered these days. Since IoT is in no way resistive to attacks, this paper is all about proposing a solution for the Distributed Denial of Services attack that happens on IoT platform. Light weight authentication is necessary for any IoT devices because to reduce the power consumption and increase the processing speed of the device [16]. The experimental setup is built on OS named Contiki with cooja simulator that suits to all the devices that are in the IoT environment.
Automated Elephant Entry Prevention for Human and Crop Protection
Authors: K Mahalakshmi , Ramaiah G N Kodanda , Kishore Nandha , Ramesh K.
Published: July 2019

Farming in areas with elephants has been the norm in many parts of Asia for thousands of years. In particular, farmers have settled closer to areas where elephants are present and started growing crops. Elephant raids occur in the night time where people do not notice the presence of an elephant until it starts an oﬀensive behavior. Such raids damage the crops, harvest storages and homes in addition to causing deaths of humans. A multitude of traditional methods have been developed through the ages to reduce and prevent crop raiding by elephants like shouting, drum-beating, noise-making, use of fire crackers, electric fencing, lights and torches. Such activities may also indicate to elephants that their presence is detected, and that they have to contend with aggressive humans. In the proposed system,   automated detection of the presence of elephant is done by analyzing the infrasonic sounds produced by elephants and they are prevented from entering into farms by propagating the offensive sounds in low frequencies without human intervention.
Low Solar Power Harvesting With Iot Smart Nodes
Authors: R. Hemalatha. , P. Jayabharathi , S. Kalaivani. , R.M Bommi.
Published: July 2019

electronic instruments and many other instruments which mostly depends on power. So the harvesting of power becomes necessary. In order to leave required amount of power to the next generation, we should harvest the power what we have now. In this project we used four modules for harvesting power. Extracting maximum power from a solar power harvester with minimum power transfer loss is the primary goal of this project. The proposed system demonstrates that we can track maximum power point tracking (MPPT) under rapidly changing atmospheric condition. Instead of photovoltaic cell, the solar cells are used for harvesting power. There are totally four modules used and these modules are controlled using a main board. The each power harvesting module consists of wireless transmitters which is controlled by IOT webpage. Also each power harvesting modules consists of wireless transmitter. These transmitters are used to transmit the power to the receiver through wireless networks. All these nodes are controlled using main board. This control board can be user configurable. The smart WSN controlled power harvesting system is also established here.
COPING SEBAGAI STRATEGI MENGATASI DAN MEMECAHKAN MASALAH DALAM KONTEKS BIMBINGAN KONSELING ISLAM
Authors: Slamet Slamet
Published: July 2019

Dalam kehidupan individu ada berbagai cara untuk mengatasi permasalahan yang dihadapi, secara umum ada 3 strategi, yaitu (1) emotion-focused coping, (2)problem-focused coping, dan (3) avoidance coping. Sementara itu, agama memberikan peran bagi individu dalam proses coping yaitu (a) menawarkan maknakehidupan, (b) memberikan sense of control terbesar dalam mengatasi situasi, dan (c) membangun self esteem.
IMPLEMENTASI LAYANAN KONSULTASI DALAM MENINGKATKAN PRESTASI BELAJAR PESERTA DIDIK
Authors: Susilowati Any
Published: July 2019

Prestasi belajar merupakan hasil usaha belajar peserta didik, semakinbaik usaha belajar yang dilakukan, maka akan semakin baik pula prestasi belajarnya. Keberhasilan prestasi belajar, selain dipengaruhi faktor internal dari dalam diri peserta didik, juga dipengaruhi oleh faktor eksternal dari luar diri peserta didik. Salah satu faktor eksternal yang sangat berpengaruh adalah faktor lingkungan sosial. Faktor lingkungan sosial ini dapat berupa dukungan dari orang-orang di sekitar peserta didik yang perduli dan bertangungjawab terhadap perkembangan peserta didik (misalnya orang tua, guru, teman, dan keluarga lainnya). Agar lingkungan sosial peserta didik dapat memberikan dukungan yang memadai bagi perkembangan diri, termasuk dalam meraih prestasi belajarnya. Maka, perlu adanya media yang dapat mengakomodir berbagai hal terkait dengan penanganan permasalahan peserta didik melalui bantuan orang-orang di sekitarnya. Salah satu media yang ditawarkan Bimbingan dan Konseling adalah Layanan Konsultasi. Layanan ini merupakan layanan bimbingan dan konseling oleh konselor sekolah atau guru pembimbing terhadap konsulti (orang-orang terkait dengan peserta didik) yang emungkinkan konsulti memperoleh wawasan, pemahaman dan cara yang perlu dilaksanakan untuk menangani masalah pihak ketiga (peserta didik). Melalui layanan inilah, peserta didik dapat memperoleh bantuan dan dukungan dari lingkungan sosialnya, sehingga dengan bantuan dan dukungan yang memadai dari lingkungan sosial ini, peserta didik dapat mengembangkan dirinya secara maksimal, termasuk meningkatkan prestasi belajarnya.
EFEKTIVITAS OUT BOUND SEBAGAI METODE PEMBELAJARAN (STUDI PADA OUT BOUND MAHASISWA JURUSAN BKI FAKULTAS DAKWAH DAN KOMUNIKASI UIN SUNAN KALIJAGA YOGYAKARTA)
Authors: Falah Nailul
Published: July 2019

Suksesnya sebuah pembelajaran terletak pada strategi dan metode yang tepat, metode ini adalah kemampuan yang bisa dipelajari, salah satu metode pembelajaran yang ditawarkan adalah Outbound yaitu metode pembelajaran berbasis alam terbuka dengan cara-cara yang kreatif dan atraktif, sehingga belajar menjadi aktivitas yang nyaman dan sangat menyenangkan. Tujuan dari outbound ini adalah untuk melatih pengenalan dan membangun kepercayaan diri dalam belajar, membangun motivasi belajar dan berkomunikasi dengan individu lain. penelitian ini bertujuan untuk mengetahui efektivitas outbound sebagai media pembelajaran bagi mahasiswa-mahasiswi Jurusan BKI Fakultas Dakwah dan Komunikasi. Hasil penelitian menunjukkan bahwa outbound memberikan pengalaman langsung bagi mahasiswa melalui keterlibatan langsung dalam konseling individu dan kelompok, outbound meningkatkan motivasi belajar dalam bentuk perubahan kearah ketekunan belajar, menyukai tantangan dan penetapan prestasi.
URGENSI LABORATORIUM BKI DALAM PENGEMBANGAN KOMPETENSI MAHASISWA
Authors: Basri A. Said Hasan
Published: July 2019

Laboratorium bagi institusi pendidikan seperti jurusan BKI fakultas Dakwah dan Komunikasi memiliki arti penting bagi eksistensinya, serta berperan penting dalam pengembangan kompetensi mahasiswanya. Melalui laboratorium inilah kualitas mahasiswa sebagai calon lulusan akan dihasilkan. Oleh sebab itu, laboratorium yang ideal dan representatif guna mendukung Tri Dharma perguruan tinggi harus direalisasikan dan ditingkatkan mutunya, karena keberadaannya sangat strategis bagi eksistensi jurusan BKI, serta kualitas mutu lulusan. Laboratorium yang ideal dan representatif tersebut, paling tidak harus memenuhi empat komponen, yaitu adanya organisasi laboratorium, fasilitas sarana dan prasarana, administrasi serta tata kelola. Melalui empat komponen inilah harapannya laboratorium jurusan BKI dapat menjadi bagian kurikulum yang mampu memfasilitasi pengembangan kompetensi mahasiswa, sehingga mampu mengaplikasikan keilmuannya secara praktis sekaligus dapat memberikan bantuan pelayanan terhadap masyarakat.
FENOMENA TAWURAN ANTAR PELAJAR DAN INTERVENSINYA
Authors: Basri A. Said Hasan
Published: July 2019

Tawuran antar pelajar sudah menjadi tradisi yang mengakar di kalangan pelajar. Hal ini telah menimbulkan keprihatinan dan keresahan terhadap calon-calon generasi penerus bangsa ini. Oleh sebab itu, artikel ini akan mengeksplorasi apa dan bagaimana, sekaligus menawarkan intervensi sebagai solusi alternatif dalam menangani tawuran antar pelajar. Analisis yang dalam terhadap akar permasalahan yang menjadi faktor penyebab tawuran akan menjadi titik tolak untuk merumuskan solusi yang tepat sebagai alternatif dalam penanganan tawuran. Hasil analisis menunjukkan bahwa faktor penyebab tawuran antar pelajar secara umum dapat dikategorikan menjadi dua. Pertama, faktor internal pelajar sebagai remaja, yang tidak lepas dari aspek-aspek psikologis yang melingkupi kehidupannya sebagai remaja. Kedua, adalah faktor eksternal dari luar diri remaja yang berupa kondisi lingkungan sosial di sekitar remaja. Melalui faktor-faktor inilah kemudian alternatif solusi yang bisa ditawarkan adalah pendekatan kesehatan mental. Pendekatan kesehatan mental yang paling tepat adalah intervensi primer atau tindakan preventif dengan memodifikasi lingkungan dan memperkuat kapasitas sasaran (remaja sebagai pelajar).  Kata Kunci: Tawuran antar pelajar, intervensi (penanganan)
KONSEP BIMBINGAN DAN KONSELING COGNITIVE BEHAVIOR THERAPY (CBT) DENGAN PENDEKATAN ISLAM UNTUK MENINGKATKAN SIKAP ALTRUISME SISWA
Authors: Sa’adah Fibriana Miftahus , Rahman Imas Kania
Published: July 2019

Abstrak Artikel ini mendeskripsikan tentang konsep bimbingan dan konseling kognitif behavior terapi melalui pendekatan islam untuk membantu menumbuhkan sikap altruisme siswa. CBT merupakan bentuk terapi kognitif pada prilaku yang menyimpang, bimbingan dan konseling ini selain akan merubah tingkah laku juga akan merubah cara berfikir konseli yang salah atau (un reaalistic).Konsep bimbingan dan konseling Islam melalui pendekatan CBT merupakan pendekatan yang akan merubah konseli un realisticc dikaitkan dengan pendidikan agama sehingga lebih maksimal dalam membantu meningkatkan sikap altruisme siswa. Altruisme  adalah sikap rela atau ikhlas membantu orang lain tanpa meminta balasan atau imbalan. CBT islami esensinya terletak pada tahap konseling yang dilakukan, konseli diarahkan untuk menemukan tujuan ahkir perbuatan atau tingkah laku yang ia lakukan yaitu untuk mendapat ridho Allah. Kata Kunci : Bimbingan dan Konseling Islam, cognitive behavior therapy, altruisme
EFEKTIVITAS KONSELING KELOMPOK REALITA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA (Studi Eksperimen pada Siswa MAN Yogyakarta III)
Authors: Failasufah Failasufah
Published: July 2019

Penelitian ini bertujuan untuk menguji efektivitas konseling kelompok realita terhadap peningkatan motivasi belajar siswa di MAN Yogyakarta III. Penelitian ini merupakan penelitian eksperimen, dengan penentuan subyek penelitian menggunakan teknik purposive sampling berdasarkan skor skala motivasi belajar dengan kategori rendah sejumlah sebelas siswa kelas X MAN Yogyakarta III, terbagi  menjadi dua kelompok  yaitu 6 (enam) siswa sebagai kelompok eksperimen dan 5 (lima) siswa sebagai kelompok kontrol. Analisis data menggunakan uji Mann-Whitney & Wilcoxon. Pengumpulan data dengan menggunakan Skala Motivasi Belajar, Observasi, Angket,  dan Interview. Hasil penelitian menunjukkan bahwa konseling kelompok realita efektif untuk meningkatkan motivasi belajar siswa MAN Yogyakarta III.  Hal  tersebut dapat dilihat pada out-put perhitungan statistik nonparametris uji Wilcoxon dengan hasil 0,028 < 0,05 dan Z =  -2.201a, artinya bahwa skor motivasi belajar mengalami peningkatan dari sebelum treatment dan sesudah treatment. Sementara itu pada kelompok kontrol tidak ada peningkatan yang  signifikan antara skor  pre-test dan post-test dalam motivasi belajar, hal tersebut dapat dilihat pada out-put perhitungan statistik nonparametris uji Wilcoxon dengan hasil 0,136 > 0,05 dan Z = -1.490 a.                            Kata Kunci : Konseling Kelompok Realita, Motivasi Belajar
The Human Microbiome World
Authors: Vicari Christopher , Joseph Barry , Klimowicz Brittany , Jaris Hannah , Asseltine Shane , Levin Joel
Published: July 2019

We designed an activity-based science curriculum that used Minecraft to support microbiology learning for students enrolled in the Lang Science Program at the American Museum of Natural History (AMNH) in New York City. Minecraft offered an option to consolidate complex science content into digestible activities for modeling concepts and demonstrate student mastery. We will (1) present a background of the course, design processes, and how we used Minecraft in the curriculum, (2) describe the design of the educational Minecraft activities, (3) articulate design issues, adjustments, and constraints, and (4) discuss future changes.
Designing for Informal Learning: The Case of a Mobile E-Reader
Authors: McDonald Jason K.
Published: July 2019

This case describes the redesign of a mobile eReader application. The purpose of the redesign was to convert an existing eReader from a means of only reading books into a tool for informal learning. The case reports how the design team’s definition of informal learning evolved throughout the product development process, and how design decisions were influenced by this changing definition. Over the period of time covered in the case, the eReader evolved from a tool used for reading eBooks, into one meant for personal study, and then into a product that supported serendipitous discovery of inspiring material (built under a philosophy that informal learning meant that people were able to discover interesting and uplifting material without exerting effort to find it). The end point of the eReader’s evolution was as a subscription service for the company’s eBooks and digital audiobooks, to allow customers to continually use them for educational purposes. This case is structured around the four iterations of the eReader design process. Each iteration reports how design decisions were made and what kind of results were achieved.
Designing a Revision Tool to Distinguish Surface-level and Text-based Writing Feedback
Authors: Neumann Kalianne L. , Kopcha Theodore J.
Published: July 2019

This paper presents a design case that describes the design, development, and user experience testing of a Google Docs revision add-on. The add-on is an instructional, peer review tool intended to help students distinguish surface-level feedback from text-based feedback in order to develop their revision task schema. Eleven secondary teachers completed a survey about using the add-on for instructional purposes, and 56 secondary students completed a survey after using the tool to provide feedback to a peer’s writing and make changes to their writing based on feedback provided to them through the tool. Thematic analyses revealed recommendations for modifications and additions to the tool. Next steps include researching the effects of the updated add-on on secondary students’ revision task schema development.