bluuebunny/crossref_metadata_2025 huggingface dataset:
Priority based Distributed Scheduling for Congestion and Collision Avoidance in WSN
Authors: J.Raman C , Visumathi James Dr
Published: April 2019

In wireless sensor network (WSN), data scheduling, is impeded by congestion and packet collision. In order to overcome these issues, in this paper, a Priority based Distributed Scheduling for Congestion and Collision Avoidance in WSN has been proposed. In this technique, the system in which data packets generated by sensor nodes are categorized into high and low priority based on the importance of the data and time stamp. To prevent collision, a receiver backed or initiated MAC protocol is applied. Further, the congestion status of the network is checked cluster wise and node with the least congestion level is selected as the head of cluster group (CH). If the congestion status is high, then distributed storage maintenance (DSM) mechanism is applied. According to DSM, some gateway nodes which are nearer to the CH are chosen and the high priority packets are sent to those nodes for storing using the packet exchange policy. With the help of simulation it has been proved that this approach minimizes the congestion and the intra cluster collisions.
Enhanced Mutual Authentication System in Mobile Cloud Environments
Authors: Shanmuga Priya S , A.Valarmathi Dr , Rizwana M , L.Mary Gladence Dr
Published: April 2019

Security is one of the significant worries of all associations which utilizes online methods for interchanges particularly banks. Of this, customer side is most defenseless against hacking, as the framework can't be totally shut when use over web by a typical customer is to be permitted. Most frameworks utilize a static password– based verification strategy which is anything but difficult to hack. There are different other validation strategies existing like cards, biometric recognizable proof, and so on. These strategies give better security, however are not material to online customer correspondence as these techniques require extraordinary gadgets for their usage. One conceivable technique for applying an upgraded factor of verification for online access to the framework is a dynamic secret word. In this venture we can plan the validation framework in light of key age, confirmation age and OTP based framework. The keys are created progressively utilizing Mobile IMEI number and SIM card number. The OTP age utilizes the components that are novel to the client and is introduced on a PDA in Android stage and furthermore cloud server claimed by PHP server. An OTP is legitimate for a minutes time, after which, is pointless. The framework in this way gives better customer level security – a straightforward minimal effort strategy which shields framework from hacking strategies, for example, speculating assault, answer assault, stolen and verifier assault and adjustment assault.
Efficient Streaming of Video Frames over Heterogeneous Wireless Network
Authors: Lavanya K , R.Kanthavel Dr , R.Dhaya Dr
Published: April 2019

Transferring high quality video stream through a heterogeneous wireless network has many challenges due to the varying data rate and round trip time(RTT) involved in the network and the more stringent quality of service(QoS) requirements of the multimedia application such as on time delivery , minimum delay etc. User datagram protocol (UDP), a connectionless, unreliable transport protocol has been widely used for transferring video frames.UDP cannot guarantee reliable information delivery andÂ  may lead to packet loss. The packet loss, increases with time varying bandwidth availability in the heterogeneous wireless networks. Transmission control protocol(TCP) can be an alternate transport layer protocol to provide reliable delivery of video information. But, using TCP for wireless networks has limitations due to misinterpretation of packet loss, frequent link failure, asymmetric link behaviour etc.,. which minimizes the throughput and in turn degrades the quality of the video frames transmitted. This paper analyses an efficient scheme to use Heterogeneous Environment Retransmission algorithm with SCTP (HERTS) to transfer video data in the heterogeneous environment. By using multi-homing and multi-streaming feature of Stream control transmission protocol (SCTP), the packet delivery rate, through put and delay requirements can be optimized. The transport layer model suggested in this paper aims at reducing the occupancy of the retransmitted packets in the link, by using a separate end to end path allotted for retransmission.Â Â
A Lightweight Trust Scheme for Iot
Authors: S. Chithra Dr , N. Bhalaji Dr , Nandini S
Published: April 2019

The Internet of Things (IoT) refers to system in which smart objects interact with each other with the aid of sensors and actuators through wired/wireless connection. When an IoT concept is implemented for real life application, the possibility of the system being attacked increases. The security measures have to be improved to prevent the attacks.Â  This paper introduces light weight security schemes for authentication and encryption.Â  This system uses Blomâ€™s scheme for authentication and Elliptic curve cryptography for encryption. Both these schemes are claimed to be light weight and hence is applicable of IoT applications which is a constrained environment.Â  These security schemes are applied for healthcare system. The system is proved to be strong against the security attacks.Â
Exact Modeling of Binary Decision Diagram Complexity
Authors: Raseen Mohamed , Venitha E
Published: April 2019

An exact model of Binary Decision Diagram (BDD) complexity is derived in this paper. An estimate of BDD complexity using models has already been proposed. The estimated BDD complexity in previous papers is just an approximation of experimental data using a curve that fits the data. Mathematical analysis indicates that many curves can be fitted to the same data. This paper derives the exact model for the BDD complexity by analysis. In order to derive the exact model, relation between the SOP (Sum Of Product) terms and Min-terms was analyzed. Further the variation of BDD size for various Min-terms was also analyzed. Finally the plot between the experimental BDD size and the derived exact model proves the accuracy of the derived model.Â Â
Multi Intelligent Fuzzy Integration (Mifi) Support Vector Machines for the Mammogram Classification
Authors: Jayandhi G , R.Dhaya Dr , R.Kanthavel Dr
Published: April 2019

Breast cancer is the most important problem across the globe in which the 80% of the women are suffering without knowing the causes and effects of the cancer cells. Mammogram Image is the most powerful tool for the diagnosis of the Breast cancer. The analysis of this mammogram images proves to be more vital in terms of diagnosis but the accuracy level still needs improvisation. Several intelligentÂ Â  techniques are suggestedÂ Â  for the detection of Micro calcification in mammogram images. The new technique MIFI-SVM has been proposed which integrates the GLCM features along with the Fuzzy Support Vector Machines. ROI Segmentation using Saliency maps has been used for the proposed algorithm andÂ  feature is extracted using GLCM and fed to Fuzzy Support Vector MachinesÂ Â  TheÂ  MIAS datasets has been used for testing the proposed algorithm and accuracy, sensitivity has been measured which proves to be better whenÂ  compared to otherÂ  Multi-level SVMâ€™s, C-SVM and Neural Networks.Â Â
Classification and Privacy Preserving Search of Multimedia Data
Authors: Jeejo Vetharaj J , Selvanayaki S , B.Suseela M
Published: April 2019

Classification, which is commonly used task in data mining applications separates the data present in the database based on some category. For years and years, considering the rise of several privacy issues, solutions in the form of theoretical and practical have been proposed for the classification problem under various security models. However, for the late Notoriety about cloud computing, clients presently have the chance on outsource their data, clinched alongside encrypted form, and also those information mining assignments of the cloud.. The data on the cloud which is in encrypted form, therefore existing privacy preserving classification techniques are not applicable. In this paper, we focus on finding solution for the classification problem over the encrypted data .Users can store their data with encryption by the use of ordered relational data. So, the data is obtained correctly without decrypting.Â
Simulation-Based Multi-Objective Optimization for Distributed Material Transportation System
Authors: Rashidah Mohamad Nor , Hafidz Fazli Md Fauadi Muhammad , Azni Jafa Fairul , Zaki Mohamed Noor Ahamad , Hisham Nordin Mohd
Published: April 2019

Material Transportation System (MTS) is required to move materials within a factory, warehouse, or other facilities. This study focused on AGV where the optimization of MTS is further studied. Although there is increasing demand in AGV control architecture, there is still unexplored potential in optimizing AGV performance measures. Applying AGVs in logistic factory may help in improving the efficiency in material flow and distribution among workstation at the right time and the right place. The aim of this study is to propose a simulation-based vehicle requirement analysis of AGVs in warehouse area with low mixed product variation. Simulations results show optimized number of AGV in warehouse area is achieved and succeed in produce short cycle time with high throughput.Â Â
Implementation of Effective Crop Selection by Using the Random Forest Algorithm
Authors: Karthikeyan R , Gowthami M , Abhishhek A , Karthikeyan P
Published: April 2019

Accurate predictions of crop yield are critical for developing agriculture. We have provided a machine-learning method, Random Forests which has a ability to predict crop yield corresponds to the current climate and biophysical change. We have collected a large crop yield data from various sources. These data are used for both for the model training and testing.RF was found huge capable of predicting crop yields and over performed MLR standards in every performance statistics that were compared. From various results that shows that RF is an efficient machine-learning algorithm for crop predictions at current condition and has a huge accuracy in data analysis.
Reducing the Effectiveness of Gray-Hole Attack in Manet
Authors: Ancy Breen W , Durga Devi S , Sushmitha E , Suveetha V
Published: April 2019

MANET is the mobile ad-hoc network. Security is very important especially when transmitting the data packets from one node to another. MANET is constructed by grouping mobile wireless nodes with no fixed infrastructure. In order to forward the packets, all the nodes in the network must cooperate with each other, so that the nodes beyond the radio ranges can communicate. Each node acts as a router and MANET is infrastructure-less networks. Hence, MANET is open to more security attacks such as Gray-hole attack, Black-hole attack and worm-hole attack. Due to the dynamism in network topology, MANETS are highly vulnerable and are prone to malicious attack. Security issue is highly challenging in MANET. Understanding the different form of possible attacks and providing good security solutions is important for secure data transmission between nodes. The most dangerous attack among these attacks is Gray-hole attack. In this paper, it proposed a method for reducing the Gray-hole attack. Our proposed algorithm MAODV identifies the malicious node before the data transmission process and it greatly reduces the dropping of data packets.
Two Wheeler Aero Braking System
Authors: V B Babu T , Ram Kumar R , Saravanan G , Vishnu Annamalai V , Giridharan L
Published: April 2019

The most commonly used transport system in our country is two wheeler transport system. In that there are varieties of vehicle with vast engine specifications which generate more power. As well as there are many advanced braking system which is invented to reduce or stop the vehicle Even though, the accident rate is increasing day by day. One of the main reasons for the accident is the stopping distance of the vehicle.This project is mainly based on reducing the stopping distance of the vehicle and balancing the vehicle at emergency conditions. We achieve that by creating a drag force against the thrust force. This drag is created with the help of wings which is fixed on both sides of the vehicle. The wings are operated by rack and pinion mechanism which was connected to the starter motor. The starter motor is activated by the driver by means of switch. By implementing our project in commercial vehicle we can reduce the rate of accidents occurring in our day to day life.
Investigations on Mechanical Behavior of Al6061-TiO2-SiC Produced by Stir Casting
Authors: N Nagendran , V K Shanmuganathan , N Gayathri , K Suresh , S Aravindh , E Prakash
Published: April 2019

Fine mechanical and thermal properties of metal matrix composites make them more demanding in various fields such as automotive, aerospace and structural applications. In this paper an effort has been made to fabricate a metal matrix composite, Titanium-di-oxide and silicon carbide reinforced in Al 6061 matrix using stir casting method. The reinforcements were added in 2%, 4% and 6% of weight to Al6061 to fabricate the metal matrix composite. Castings were machined and the specimens were prepared for various testing. Mechanical properties such as tensile strength, hardness, and corrosion analysis were studied for various compositions of reinforcements. And then the reinforcement was analyzed and studied for the improvement of mechanical properties in the material.
Reduction of Blowholesin Aluminium High Pressure Die Casting Machine
Authors: P Nagasankar , V Sathiyamoorthy. , P Gurusamy. , P VinothKanna , D Manibharathi , P Srikanth
Published: April 2019

The main objective of this research is to reduce the blowholes by analyzing the factors which are affected during the casting process. The process parameters are optimized and change is made in the design part to reduce the blowhole and to increase the efficiency of the high pressure die casting machines. Product manufactured from every manufacturing process shows some defects. For supplying quality product to the customer these defects must be reduced. In this work, an attempt is made to reduce the rejection due to the blowhole defect is found out through why-why analysis technique. Process capability of current high pressure die casting manufacturing process is checked. Manufacturing process found capable to manufacture the components. Current problem of blowhole defect is solved making an improvement in design of die which we insert. In gate directions are changed so as to obtain modified improved flow pattern. Using magma flow simulationsoftware existing and modified design has then been compared. It is found that, modified design shows superior results and using this, the defect of blowholes is minimized up to satisfactory level.
Thermodynamic Analysis of Hybrid Absorption Compression System
Authors: Ramesh kumar A , . .
Published: April 2019

The Virtual Reality realistic image content is a technology to enable building imaginary space by This paper presents thermodynamicÂ  studies conducted on a GAX hybridÂ  absorption-compression (HYBRID) cycle using ammonia-water as working ï¬‚uid for air-conditioning applications. The effect of generator, condenser and absorber temperatures on exergy destruction has been investigated. The effect of absorber pressure on the exergy destruction of the cycle has also been studied. It is found that generator and absorber are the major contributors in the total exergy destruction of the hybrid cycle. Comparison of hybrid cycle with conventional GAX cycle shows hybrid cycle has lower value of exergy destruction than the conventional GAX cycle. It is also found that at same thermal conditions assumed in this work the hybrid cycle gives 18 percent increases in average exergetic efficiency when compared to the conventional GAX cycle.Â Â Â
A Novel Look Back N Feature Approach towards Prediction of Crude Oil Price
Authors: Kalyan Nayak Rudra , . Kuhoo , Mishra Debahuti , Kumar Rath Amiya , Tripathy Ramamani
Published: April 2019

Prediction of crude oil prices in advance can play a significant role in the global economy. Change in crude oil price affect wide range of application for economic and risk projection. Crude oil price forecasting is a challenging task due to its complex nonlinear and chaotic behavior. During the last decadeâ€™s researcher have designed many classification algorithm for crude oil prediction. The major challenge for any unsupervised dataset is to define a class label for every feature of its dataset. This paper, propose a new novel technique, look back N feature (LBNF) algorithm to discover class label. Later the classifier support vector machine (SVM) with k-nearest neighbor (k-NN) has been used to classify the current feature vector to predict the crude indices one day, one weak, one month in advance. We have checked our algorithm with standard recent MCX INR Daily and CFD USD Real Time crude oil dataset. To prove the effectiveness of proposed algorithm we have compared it with recent Grey wave forecasting method and the experimental result is found to be better than this method.Â
A novel Approach Using â€œSupervised and Unsupervised learningâ€ to prevent the Adequacy of Intrusion Detection Systems
Authors: Kumar Mallick Pradeep , Prasad Mohanty Bibhu , Jha Sudan , . Kuhoo
Published: April 2019

Countering digital dangers, particularly assault detection, is a testing region of research in the field of data affirmation. Intruders utilize polymorphic instruments to disguise the assault payload and dodge the detection methods. Many supervised and unsupervised learning comes closer from the field of machine learning and example acknowledgments have been utilized to expand the adequacy of intrusion detection systems (IDSs). Supervised learning approaches utilize just marked examples to prepare a classifier, however getting adequate named tests is lumbering, and requires the endeavors of area specialists. Notwithstanding, un-marked examples can without much of a stretch be acquired in some genuine issues. Contrasted with super-vised learning approaches, semi-supervised learning (SSL) addresses this issue by considering expansive number of unlabeled examples together with the marked examples to fabricate a superior classifier. In todayâ€™s age security is a big issue and every day when we are on the internet we are exposed to a huge number of threats where our personal information can be leaked. The information security and the Intrusion Detection System (IDS) play a critical role in the internet. IDS isan essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality, and system availability against possible threats. In this paper, we are proposing a modified Elitist approach where the value of fitness is multiplied by the times a variable which is determined on the basis of the value of Kappa (K).Â Â
Detection and Classification of Genetically Transfered Idiopathic Partial Epilepsy to Child:a Four Rule ANFIS based SWT-EBFO Approach
Authors: Mohanta Debasis , Mahapatra Sakuntala , Kumar Nayak Santanu
Published: April 2019

Background:-Hereditary qualities have an influence in numerous sorts of epilepsy. In the event that a parent has idiopathic epilepsy, there is around 5% to 8% chance that the youngster upto 8 years will likewise have epilepsy called as idiopathic partial epilepsy (IPE).Methods:-This exploration work breaks down the epilepsy issue exchange hereditarily by coordinating the best properties of Enhanced Bacterial Foraging Optimization (EBFO) and Least-mean-square (LMS) algorithm with four rule Adaptive Neuro-fuzzy Inference System (ANFIS) Network. Stockwell Transform (SWT) strategy searched for the extraction of decomposed signal. In this work, quantitative tests and statistical tests are performed by utilizing SWT-ANFIS-EBFO and SWT-ANFIS-LMS strategies.Results:-Our proposed statistical results(Accuracy (98.30%), sensitivity (98.23%), specificity (99.53%)Â Â  and Matthewâ€™s correlation coefficient (97.08%),G-mean (98.88%) and average detection ratio (98.93%)) are calculated withthe network SWT-ANFIS-LMS. Proposed statistical results (accuracy (99.49%), sensitivity (98.78%), specificity (98.56%), and Matthewâ€™s correlation coefficient (97.907%), G-mean (99.172) and average detection ratio (99.174%)) are calculated SWT-ANFIS-EBFO beats. The calculated quantitative test results for network SWT-ANFIS-LMS are (SNR 18.42Â±0.18, RE 0.11Â±0.02, CC 61Â±0.012, MFRE 0.41Â±0.02) and for network SWT-ANFIS-MFRE are (SNR 18.42Â±0.18, RE 0.11Â±0.02, CC 61Â±0.012, MFRE 0.41Â±0.02).Conclusion:-In this paper we endeavor to investigate the best capability of SWT based ANFISnetwork trained with EBFO and LMS algorithms for classification of IPE EEG signals.Calculated statisticaland quantative test results of the proposed method outperforms as compared to existing methods. It will end up being a significant trial device in clinical application and advantageous application towards IPE influenced patients.Â
Interactive Dance Guidance Using Example Motions
Authors: Kim Yejin , . .
Published: April 2019

Background/Objectives: Human movements in dance are difficult to train without taking an actual class. In this paper, an interactive system of dance guidance is proposed to teach dance motions using examples.Methods/Statistical analysis: In the proposed system, a set of example motions are captured from experts through a method of marker-free motion capture, which consists of multiple Kinect cameras. The captured motions are calibrated and optimally reconstructed into a motion database. For the efficient exchange of motion data between a student and an instructor, a posture-based motion search and multi-mode views are provided for online lessons.Findings: To capture accurate example motions, the proposed system solves the joint occlusion problem by using multiple Kinect cameras. An iterative closest point (ICP) method is used to unify the multiple camera data into the same coordinate system, which generates an output motion in real time. Comparing to a commercial system, our system can capture various dance motions over an average of 85% accuracy, as shown in the experimental results. Using the touch screen devices, a student can browse a desired motion from the database to start a dance practice and send own motion to an instructor for feedback. By conducting online dance lessons such as ballet, K-pop, and traditional Korean, our experimental results show that the participating students can train their dance skills over a given period.Improvements/Applications: Our system is applicable to any student who wants to learn dance motions without taking an actual class andto receive online feedback from a distant instructor.Â Â
The Effectiveness of Ict in Edifying Language Learning: a Quasi -Experimental Study
Authors: S Mohankumar , V.Vijayalakshmi Dr , C B Manjusha
Published: April 2019

Technological development is bringing in tremendous changes in almost all the arenas. Educational needs of today are not like those days where traditional practices served the purposes. ICT and e-learning is replacing the educational systems. In such a scenario, students are to be aware of the better platforms to equip themselves with the recent trends and changes. The objective of this research paper is to enthrove how effective will be the process of learning if ICT is implemented in the classrooms. Activities based on ICT focusing on enhancing writing skill are the core of this research paper.Â Â
Visualization of Carbon Nanotube Aggregates in Dilute Phase of a Fluidized Bed
Authors: Han Park Sae , Won Kim Sung
Published: April 2019

Background/Objectives: Fluidization characteristics and aggregation behavior of carbon nanotube (CNT) particles have been determined in the freeboard of a bubbling fluidized for the design and scale-up of the process.Methods/Statistical analysis: The aggregation behavior of the CNT particles was observed in a gas solid fluidized bed (0.15 m i.d. X 2.6 m high) using laser sheet technique for their visualization. A high speed camera was installed at the height of 0.67, 1.05 and 1.50 m above the gas distributor to observe the CNT aggregates behavior and determine their size and shape. The Image J was applied to process the obtained images.Findings: Effect of height in the reactor on aggregation of CNT particles have been determined. The axial local bulk density distribution is almost similar with a general bubbling fluidized bed such as Geldart A or Geldar B particles, which shows typically a dense bed at the bottom of the reactor and a decrease of the local bulk density with increasing height. The Feret and Heywood diameters of the aggregates are larger than the average diameter of the CNT particles, indicating that the CNT particles form the aggregates by physical entanglements and van der Waals force in the dilute phase of fluidized bed. A possible mechanism of aggregates formation was proposed based on the variation of size and shape of CNT aggregation with the height. The aggregation process in dilute phase is attributed largely to nanotubes stripping off the surface of CNT particles in addition to the inter-particle aggregation. The aggregation process affects the decrease of aspect ratio and the increase of solidity of aggregates with increasing the height.Improvements/Applications: The obtained results on the CNT properties could be used for the design of cyclone and the modeling of heat transfer in the fluidized bed reactor.Â Â
Design Key Management System for DLMS/COSEM Standard-based Smart Metering
Authors: Hwan Ju Seung , Suk Seo Hee
Published: April 2019

Background/Objectives: Security features are an essential part of recent smart metering systems. Smart meters are considered an important facility that must be protected by applying the latest security technologies.Methods/Statistical analysis: Security context determines the rules for applying/verifying security. DLMS/COSEM have Security suite to set of cryptographic algorithms. This is based on symmetric key based cryptographic communication. The high level security requires public key based cryptographic communication and digital signature.The security specification references the key scheme of DLMS-COSEM, which is based on a single set of unique symmetric keys per meter.Findings: we have studied a sequence for distributing security keys required by DLMS / COSEM.Our smart metering key distribution system can provide a security key management system such as key generation / distribution between AMI components. This is a PKI-based authentication using public key method (ECC), and a DLMS standard key distribution method after generating a session key using a public key. This system can also provide a key management scheme between DLMS clients not defined in the DLMS standard.Improvements/Applications: we analyze security requirements of DLMS/COSEM for secure smart metering and design key distribution/management method.Â Â
Video Transmission Technique through Dual Transmission of Visible Light / Non-Audible Sound Communication in VLC System
Authors: Han Doohee , Lee Kyujin
Published: April 2019

Background/Objectives: In this paper, we study the video transmission technique through dual transmission technique which uses visible light communication and non - audible sound communication simultaneously in visible light communication system.Methods/Statistical analysis: In high-speed video and multimedia transmission environments, existing visible light communication(VLC) has a problem in that communication is disconnected when visible light does not reach directly or when a shadow area occurs due to an obstacle. Unlike RF communication, if the line of sight due to direct light is not secured, the communication performance deteriorates sharply. In order to solve such a problem, the non-audible sound communication is transmitted in dual with visible light communication so that communication disruption does not occur when a shadow region due to an obstacle occurs. We also proposed a scheme to improve the overall system through diversity gain.Findings: We proposed the video transmission method through dual transmission technique to improve the data rate and quality via VLC and sound communication. This solves the problem of shadowing of existing visible light communication. We expect that the performance of the entire system will be improved through diversity gain through dual transmission.Improvements/Applications: The dual transmission technique which uses visible light communication and non - audible sound communication system can be applied as fusion technology to various environments such as an IoT network environment requiring a bidirectional network or an indoor small-scale network configuration and a home network configuration.Â Â
Construction of a Regression Test Automation System
Authors: Choi Inhwa , Na Wonshik
Published: April 2019

Background/Objectives: As testing plays an important role in software quality assurance, many studies are now being carried out in areas such as test method design, test case generation, test case management, GUI test automation, and integrated test automation in order to create tests that are more efficient as well as cost efficient.Methods/Statistical analysis: This paper proposes a regression test automation system that can dynamically generate test cases in the regression test stage and automatically execute the generated test scenariosFindings: The Mocha framework is extended to build an automation framework, and test algorithms and test algorithms are classified to extend and combine various test cases.Improvements/Applications: Applying the proposed system to a UI development tool test saw more than twice the test cases being automatically generated, which led to a discovery of 37% more key defects.Â
Radon Gas Adsorption Properties of Non-Cement Matrix Using Anthracite
Authors: Ung Lim Hyun , Jeong Pyeon Su , Soo Lee Sang
Published: April 2019

Background/Objectives: Recently, research on minimizing the exposure of radon in human environment is under way due to the threat of exposure to radiation, which is a problem in the world.Methods/Statistical analysis: This study is about the production of Radon Radiation Absorbing Hardeners for radon - emitting materials in indoor environment of human body. The anthracite used as a conventional filter medium was used as a radon adsorbent and the characteristics of an adsorbed cured body for the replacement ratio of anthracite were analyzed.Findings: As a result of the analysis of the experimental results, the results of the measurement of the radon gas concentration are as follows. And the adsorption effect on the half - life period of 3.8 days of radon gas was investigated. The adsorption properties of radon gas showed similar tendency irrespective of the measurement period. The longer the period, the more the concentration of radon gas was constant.Improvements/Applications: As a result of this study, the concentration of radon gas tended to decrease as the anthracite replacement ratio increased, which was not related to the duration of the measurement period of 3 days and 7 days. It is considered that the average data analysis is needed through long-term measurement of radon gas, and additional experiments are required considering the space and spatial characteristics. In addition, performance evaluation of other adsorbents is also considered necessary.Â
A Single Predominant Instrument Recognition of Polyphonic Music Using CNN-based Timbre Analysis
Authors: Kim Daeyeol , Taekyong Sung Tegg , Young  Cho Soo , Lee Gyunghak , Bong Sohn Chae
Published: April 2019

Classifying musical instrument from polyphonic music is a challenging but important task in music information retrieval. This work enables to automatically tag music information, such as genre classification. In previous, almost every work of spectrogram analysis has been used Short Time Fourier Transform (STFT) and Mel Frequency Cepstral Coefficient (MFCC). Recently, sparkgram is researched and used in audio source analysis. Moreover, for deep learning approach, modified convolutional neural networks (CNN) widely have been researched, but many results have not been improved drastically. Instead of improving backbone networks, we have researched on preprocessing process.In this paper, we use CNN and Hilbert Spectral Analysis (HSA) to solve the polyphonic music problem. The HSA is performed at the fixed length of polyphonic music, and a predominant instrument is labeled at its result. As result, we have achieved the state-of-the-art result in IRMAS dataset and 3% performance improvement in individual instrumentsÂ Â
Moderating Effect of Materialism on the Inaction Inertia Phenomenon
Authors: Lee Seongsoo , . .
Published: April 2019

Background/Objectives: This study aims to investigate whether materialism tendency will act as a moderating variable for the inaction inertia phenomenon.Methods/Statistical analysis: A total of 121 college students were randomly assigned to 2 (difference in attractiveness condition: large vs. small) Ã— 2 (materialism: high vs. low) mixed design. Respondents read two-part scenario and responded to several questions: manipulation check item to assess perceived attractiveness, some questions related to regret (immediate regret, recalled experienced regret, anticipated inaction regret, anticipated action regret), behavioral intention, and demographics.Findings: First, the manipulation of the perception of difference in attractiveness (manipulated with price difference) was as the researcher intended. Immediate regret after missing the initial opportunity, recalled experienced regret, and anticipated action regret were found to be varied on the level of materialism. The level of recalled experienced regret, anticipated action regret, and anticipated inaction regret varied according to the difference in attractiveness conditions. The interaction effects of the level of materialism and difference in attractiveness conditions appeared only for anticipated action regret and anticipated inaction regret. Anticipated action regret and inaction regret were found to have a significant effect on behavioral intention regardless of the level of materialism. On the other hand, recalled experienced regret had a significant impact on behavioral intention only in low-materialist group.Improvements/Applications: This study has theoretical and practical implications from the point of view of how the various kinds of regrets vary according to materialism in the area of inaction inertia effect.Â Â
Properties of Thermal Conductivity According to Replacement Ratio of Paper Ash of Lightweight Composite Panel Core
Authors: Jong Kim Won , Jeong Pyeon Su , Soo Lee Sang
Published: April 2019

Background/Objectives: Korea, which is mostly composed of multi-family houses, is paying attention to the importance of sound insulation, insulation, and fireproofing in the environment of multi-family housing.Methods/Statistical analysis: This study is a study on the production of lightweight composite panel core using inorganic by-product, blast furnace slag, paper ash, polysilicon sludge and vermiculite. When the paste is lightweight due to the foamability of the paper ash, the applicability of the paste as a building dry panel is examined.Findings:As a result of the analysis of the experimental results, the fluidity shows a tendency to decrease as the replacement rate of the paper ash is increased. The compressive strength shows a tendency to decrease as the substitution rate of paper ash increases and the compressive strength shows a constant tendency with a substitution rate of more than 15%. As the substitution rate of paper ash increases, the size of bubbles on the surface of the cured product increases and the rate of bubble generation increases.Improvements/Applications: As a result of this study, the thermal conductivity decreases as the substitution rate of paper ash increases, and further study is required for the fire resistance test.Â
Development and Application of the TPACK-P Education Program for Pre-Service Teachersâ€™ TPACK
Authors: Won Kim Seong , Lee Youngjun , . .
Published: April 2019

Background/Objectives: This study aimed to investigate and complement the ways of improving the Technological Pedagogical Content Knowledge-Programming (TPACK-P) educational program and verify the improved programâ€™s effect on pre-service teachersâ€™TPACK.Methods/Statistical Analysis: The TPACK-P educational program was conducted for 19 pre-service teachers; two difficulty items were investigated. A survey was administered to identify any improvement. To verify the effect of the improved program on the pre-service teachersâ€™ TPACK, two programs involving distinct technological tools were applied to the control and experimental groups. To generate comparable results, the same research procedure was adopted as in a previous study, with some modifications.Findings: The pre-service teachers had difficulties in the process of learning programming, designing lessons, and developing programs in the TPACK-P educational program. In addition, they needed increased time for learning programming and analyzing the activities in the TPACK-P class. Therefore, the improved TPACK-P educational program added programming-based activities (analysis of curriculum based on programming, analysis of TPACK-P instructional cases, and development of the TPACK-P program in the programming environment). As a result of engaging the pre-service teachers in the improved TPACK-P educational program, the pre-service teachersâ€™ TPACK was effectively developed in all areas. Moreover, it was found to be more effective in improving the knowledge of technology than information and communication technology (ICT)-based TPACK educational program was.Improvements/Applications: This study can be used as a basic foundation for carrying out programming-based TPACK education for pre-service teachers.Â Â
Some Contributions to Boolean like near Rings
Authors: Pushpalatha K , . .
Published: April 2019

In this paper we extend Fosterâ€™s Boolean-like ring to Near-rings. We introduce the concept of a Boolean like near-ring.Â  A near-ring N is said to be a Boolean-like near-ring if the following conditions hold: (i) a+a = 0 for allÂ Â  aÃŽ N , (ii) ab(a+b+ab) = ba for all a, bÂ  ÃŽ N and (iii) abc = acb for all a,b, c ÃŽ N (right weak commutative law).Â  We have proved that every Boolean ringÂ  is a Boolean like near-ring. An example is given to show that the converse is not true.Â  We prove thatÂ  if N is a Boolean near-ring then conditions (i) and (ii) of the above definition are equivalent. We also proved that a Boolean near-ring with condition (iii) is a Boolean ring. As a consequence we show that a Boolean â€“like near-ring N is a Boolean ring if and only if it is a Boolean near-ring. Obviously, every Boolean like ring is a Boolean like near-ring. Â Â We show that Â if N is a Boolean-like near-ring with identity, then N is a Boolean-like ring.Â  In addition we prove several interesting properties of Â Â Boolean-like near-rings. Â We prove that the set of all nilpotent elements of a Boolean â€“like near-ring N forms an ideal and the quotient near-ring N/I is a Boolean ring. Every homomorphic image of a Boolean like near ring is a Boolean like near ring.Â  Â We further prove that every Boolean-like near-ring is a Boolean-like semiring Â Â As example is given to show that the converse of this result is not true. Â Â
Encryption and Decryption of an Image Data â€“ a Parallel Approach
Authors: M E Raghu , C Ravishankar K
Published: April 2019

Multimedia data has been essential part of our lives, from instant messaging application to social media. Instant messaging applications like WhatsApp uses AES 256 bit key for security purpose. The security measures are taken so as to protect the data from unauthorized access and to ensure privacy. This paper mainly considers image data as source for encryption and decryption. Along with text, AES algorithm is used for image cryptography, in its suitable way. The AES algorithm is chosen because of its highly secured way of encryption and decryption. Time required for the procedure of encryption and decryption is also measured. Present use of Internet, mobile and socialmedia made images considerable value in our daily life.Â  Securing multimedia data is becoming an important issue in communication and storage. Secured communication of digital images is needed in many areas, such as electronic commerce,medical imaging systems, mobile check deposit, online photograph album, military image communication, etc.., There is a need of developing fast encryption methodologies for such communicationÂ
Automatic Door Control System Using SMS Gateway Base on Arduino Uno and Ultrasonic Sensor
Authors: Faroqi Adam , Fitriadi Adi , Utami Adiningsih Neni , Ali Ramdhani Muhammad
Published: April 2019

The purpose of this research is to design an automatic door control system using media consist of Arduino Uno, SMS Gateway, ultrasonic sensor, relay, accu (batterai), buzzer, and adapter. The design methodology did with several stages: software design, hardware design, system implementation, and system testing. The design results show the system works well for opening and locking doors via SMS Gateway, as well as alerting via SMS when the door opened forcibly.
The Design of Web Based Car Recommendation System using Hybrid Recommender Algorithm
Authors: Babu Thomas Leyo , Vaidhehi V
Published: April 2019

Web based recommendations for any item is mandatory in E-commerce based web sites. This paper is about the design of web based car recommendation system using the hybrid recommender algorithm. The proposed hybrid recommender algorithm is the combination of user-to-user and item-to-item collaborative filtering method to generate the car recommendations. The user model is designed using demographic features, click data and browsing history. Item profile is built using the various attributes of car, 40 brands of car including 224 car types are used in this work. The synthetic dataset of 300 users with 10000 sessions is used to build user model. The proposed algorithm is evaluated with 100 real time users and shows the 83% accuracy in generating recommendations.
Assessment of the Structure Failure of the Palm Oil Mill Effluent (POME) Digestion Tank Constructed on Peat Soil
Authors: Yusuf Khairullah , Sulaiman Shahlin , Suleiman Shan
Published: April 2019

The structure for extraction processes of palm oil were constructed on peat soil. Piles were commonly adopted for the foundation of such structure to transfer the imposed load to the hard layer of the soil. This study aims to investigate the probable cause of two POME digestion tanks failure at one of extraction processes of palm oil. One of the two tanks collapsed during filled up the tank with the POME and another one shows the symptom of structural failure. Based on visual inspection and analytical study, it is most likely that the failure mechanism of the POME digestion tanks is due to the deviation of the piles that induced moment onto the piles, which exceeded the structural allowable moment of the piles. There is also a possibility that the collapsed tank has been loaded to the point where piles were carrying an axial load that exceeded the said pile bearing capacity.
Secure Group Communication in WSN based on Integrated approach of Chaos and Neural Network
Authors: S Annapurna H , Siddappa M
Published: April 2019

With advancement in technology,   at present, there is possibility to develop low cost sensors in the area of wireless sensor network. Often in practice, there are huge numbers of sensors, which are deployed in hostile environment. Hence, there is a need to develop the security mechanism so that defined applications can serve the purpose. Two areas come under security consideration, protection for communication data and authentication of communicating parties. In this paper, chaos and neural network based centralized security mechanism has been developed. Two different types of chaotic maps, Lozi and Logistic maps have been integrated with feed-forward architecture of neural network to deliver the security provision. The sensitiveness with initial conditions of chaos has been exploited for key development. Proposed method not only provides high level of security but also carries high level of flexibility, scalability and computational efficiency.
Small and Medium Enterprises, Central Business District (CBD) for Accelerating of Regional Development
Authors: Sudapet Nyoman , Sukoco Agus , Ikhsan Setiawan Muhammad , Halim Paisal , Badruddin Syamsiah , . Tuswoyo , Hidayat Ahmad , Napitupulu Darmawan , Abdullah Dahlan , Saleh A A
Published: April 2019

Madura is small island, East Java Province, Indonesia, with the Surabaya - Madura (Suramadu) Bridge 5.7 km length. It is the largest bridges In Indonesia, connected 2 (two) island, Java and Madura. In Suramadu area will be build landed house and apartments, residential, central of business, central of tourism. In Suramadu area, especially in Surabaya side will be built by some interesting landed house and apartments, residential, central of business, central of tourism, combining with recreation area. The Government seeks to attract the private sector to cooperate in the development and investment in landed house and apartments, residential, central of business, central of tourism, through the approach of government and private cooperation. Law number 22/1999 and Law number 34/2004 on regional autonomy have improved the performance of local governments, in particular through the policy of increasing local revenues through cooperation with private parties. Investment must be injected in Suramadu area by investors is IDR 18,410,577,670,000.00, it would be very interesting.
A Fuzzy based PV-APF Controller for Mitigation of Current Harmonics
Authors: Naga Chaitanya M , Rajesh D , Sujith K , Santhoshi R , Phanendra B
Published: April 2019

This paper proposes a concept of Fuzzy based Active Power Filter for mitigating current harmonics in interconnected PV-Grid system. The PV array is connected to the utility grid by using a boost converter and a voltage source converter. For this, a three phase three wire system operated by non-linear load is considered. The increased harmonic content leads to increase in losses, decrease in power factor and many adverse effects. A Fuzzy based instantaneous PQ theory control technique is proposed in this paper for better harmonic compensation. This proposed system is tested and verified using Matlab/Simulink. The results obtained in both PI and fuzzy based APF systems are compared in the aspects of THD and active power.
Does Management Accounting Information Meet the Needs of SMEs? An Investigation of Its Usefulness from Manufacturing Enterprises
Authors: Lynn R. Legaspi Joy
Published: April 2019

The use of appropriate management accounting techniques for the problem at hand are useful to managers. This study describes the level of usefulness of management accounting tools (MATs) used, test the relationship of MATs used to net income and capital, test of difference between the level of its usefulness and the difficulties encountered in applying the tools. Questionnaire survey was used to obtain information from manufacturing sector. Frequency, median, Spearman Rho and Mann-Whitney U were utilized to analyze the data. The study suggest that medium firms utilized more tools than small enterprises. Statement of cash flow analysis, capital budgeting decisions and financial budgets were considered as the very useful tools used. Likewise, the study developed significant relationship between selected variables of size, level of net income and level of capital to the level of its usefulness for medium-sized enterprises and sufficient to create significant difference between the levels of its usefulness. Lack of qualified employees and its use are not deem necessary as to the nature of the enterprise operations ranked as the top barriers encountered in applying the tools. Therefore, the appropriateness of management accounting information depends upon the operating activities, strategies and the size of the organization.