bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on Pseudo Symmetric 𝚪-Ideals in Ternary 𝚪-Semigroups
Authors: Vasantha M , Madhusudhana Rao D , Satish T , Kumar Srinivasa 
Published: April 2019

In this paper section 1 reflects, the terms, ‘PST𝚪-ideals’ of a ternary Γ-semigroup and ‘PST𝚪-semi group’ are introduced can characterized PST𝚪-semi group. In section 2, the terms, ‘SPST𝚪-ideals, ‘SPST𝚪-semi group’ are introduced and classified these SPST𝚪-ideals.
Experimental Investigations on Concrete with Fly Ash and Marble Powder for Paver Blocks
Authors: Meera Miss , Durga Vara Prashad B , Gupta Supratic 
Published: April 2019

The construction industry is capable of absorbing large amounts of wastes by utilizing them in other useful products. Thermal power plants and marble industries produce huge quantities of bi-products which causes environmental problems. Utilization of these in concrete will save natural resources to some extent and solve the disposal. Interlocking concrete block pavements are simple to construct and maintain. The main objective of this research is to develop an eco-friendly paver block while considering the economy as a defining parameter. In this research, experimental investigations were carried out on the paver blocks to know the feasibility of using fly ash and marble powder. For paving block concrete, it is partly replaced with cement and aggregates with fly ash and waste marble powder. Various tests for mechanical and durability properties were conducted. All the properties were improved when compared to the control mix. Utilization of fly ash and marble powder in concrete reduces the cost of paver blocks and making it economical and eco-friendly.
Synthesis and Characterization of Cocozone Oil as Skin Care Ingredient
Authors: . Enjarlis , Handayani Sri , Anwar Yenny 
Published: April 2019

Cocozone Oil (CCO) is one of the ozonated oils, obtained by the ozonation process of Virgin Coconut Oil (VCO), that can be used as a material for skin care products. The purpose of this study was to determine: (1) the optimum time and ozone dose for CCO synthesis from VCO using ozonation; (2) the changes in physico-chemical properties of the oil; (3) the change in saturated-unsaturated fatty acids content and the existence any new substances in the CCO. The ozonation of VCO was carried out for 25 hours, with monitoring at the intervals of 4, 8, 12, 16, 20 and 25 hours, at a constant temperature (25 °C) with an ozone flow of 0.25 g/hr. From this study it can be concluded that: (1) The optimal time or dose of ozone required for the synthesis of CCO from VCO through the ozonation process was 25 hours or equivalent to 0.0208 gr O3/ml VCO, (2) Physico-chemical characteristics of the CCO produced: resulting acid value (AV) was 2.71 mg/gram i.e. an increase of 630%; the peroxide value (PV) obtained was 238,77 mgrek/kg i.e. increase of 3,453 %; the Iodine value (IV) was 0 (zero) i.e. a decrease of 100%; and, the viscosity was 13.30 centipoice i.e. it rose 116%; (3) the total content of saturated fatty acid increased by 3.34% whereas the unsaturated fatty acid decreased by 98.83; and based on the analysis results of 13C and 1H NMR spectra, the resultant CCO contains a new substance, that is aldehydes.
Real-time Big Data Processing System to Improve Semiconductor Production Efficiency in Smart Factory
Authors: Lee Hyeopgeon , Kim Young-Woon , Kim Ki-Young 
Published: April 2019

Semiconductor production efficiency is closely related to the defect rate in the production process. The temperature and humidity control in the production line are very important because these affect the defect rate. So many smart factory of semiconductor production uses sensor. It is installed in the semiconductor process, which send huge amounts of data per second to a central server to carry out temperature and humidity control in each production line. However, big data processing systems that analyze and process large-scale data are subject to frequent delays in processing, and transmitted data are lost owing to bottlenecks and insufficient memory caused by traffic concentrated in the central server. In this paper, we propose a real-time big data processing system to improve semiconductor production efficiency. The proposed system consists of a production line collection system, task processing system and data storage system, and improves the productivity of the semiconductor manufacturing process by reducing data processing delays as well as data loss and discarded data.Â Â
Development of Test Rig for Centrifugal Air Strainer
Authors: N Karthick , N Gayathri , T V B Babu , S Nandhakumar , S Mugunthan , B Yuvaraj 
Published: April 2019

This paper is a description of an alternative method for the testing of air strainer in the railways. In traditional method they can’t test the filter with full accuracy, so semi-automatic method is needed to check the sealing of the filter effectively. Test rig is used to check the sealing of the air strainer. This paper addresses two major issues from the previous method of testing.(1) Requirement of skilled labors in work.(2) Precise inspection is not possible. The test rig being used currently requires more setting up time and the cost of the process is more. This paper describes a test rig which can reduce cost of the process and be able to reduce the human error by semi-automatic method.
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
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
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 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