bluuebunny/crossref_metadata_2025 huggingface dataset:
Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing
Authors: Sujeetha S , Ja Veneesa , Vinitha K , Suvedha R
Published: April 2019

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access.  The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.
A Novel Framework to Control and Optimize the Traffic Congestion Issue in VANET
Authors: Kayarga Tanuja , M. Navyashree H
Published: April 2019

In the recent times due to the increase of vehicular nodes in a vehicular communication network, there is a need of developing efficient systems in order to optimize the vehicular traffic congestion issues in urban areas. The current research trends shows that most of the conventional studies focused on developing fuzzy inference systems based vehicular traffic congestion model which has gained lots of attention on detecting and minimizing the congestion levels.We have proposed a new approach towards detection and controlling of traffic congestion in VANET. The proposed system utilizes the communication channels very efficiently and irrespective of any kind of overload. This proposed system aims to introduce a novel framework for identifying traffic jam on Vehicular Ad-hoc Networks. In order to detect and minimize the level of congestion our approach will use a fuzzy logic based approach to notify the drivers about available routes during the traffic congestion. An experimental prototype will be set up to enable the graphical simulation.
Fracture network Based on Principal Component Analysis and Neural Network– A case study in the Malay Basin
Authors: A.A.S. Shamsuddin , Ghosh D
Published: April 2019

Finding oil in the fractured basement rock in South East Asia has been a goal for several decades, but remains a challenge in terms of exploration/production areas in the Malay Basin due to geological complexity including fracture. Thus, the purpose of this study is to delineate fracture network based on the geometrical attributes in order to have better fracture understanding. In this study, the top of the basement acts as the key surface incorporated with the combination of geometrical seismic attributes analysis. The analysis started with data conditioning and seismic interpretation of the key surface. The final steps were conducted by using geometrical seismic attributes, principal component analysis and neural network. Principal component analysis of these four seismic attributes is able to delineate the contribution of each attributes based on eigenvalue with the PC0: 1.3450 (33.63%), PC1:1.0556 (26.39%), PC2:0.9270 (23.17%) and PC3:0.6724 (16.81%). While neural network contributes four main results (i) PC0 (ii) PC0 and PC1 (iii) PC0, PC1 and PC2 (iv) PC0, PC1, PC 2 and PC3. Fracture networks were able to be delineated and geological features that might be overlooked were able to be captured and can be used to guide the fracture network inside the fractured basement.
Soil Invertebrate Animals as Indicators of Contamination of Light Chestnut Ground of Southeast of Kazakhstan
Authors: Zulfia Tukenova , Mereke Alimzhanova , Saule Kazybaeyeva , Kazhybek Ashimuly , Oral Zhylkybaev
Published: April 2019

The use of living organisms as biological indicators for environmental change necessitates the development of a number of criteria on the basis of which it is possible to select indicator species. These include the biological activity of soils (mesofauna, enzymes). Bioindicators with a chronic anthropogenic load on the soil, in particular with prolonged application of fertilizers, can react to very weak effects due to dose accumulation, in addition, they make it unnecessary to use expensive and laborious physical and chemical methods for measuring biological parameters. The novelty of our research is based on the study of the influence of anthropogenic influences on the biological activity of soils in comparison with its basic indicators. This will allow us to establish a correlation between the soil fauna and the main traditional indicators of soil fertility, and significantly enhance their ecological significance in assessing agricultural practices in agricultural production. It has been revealed that the soils under study differ in relatively favorable physical properties, which in turn affects the distribution of the mesofauna. When the biological activity of soils was diagnosed, a decrease in the activity of soil mesofauna was noted in variants with high doses of phosphorus fertilizers depending on the type of soil. In light chestnut soils, meso-faunistic indices are reduced to (16 ind·m-2) and poor group diversity. The main representatives of the soil mesofauna are Carabidae, Formicidae, Lumbricidae, Scarabeidae. Typical species for fertilized soils are Carabidae, Lumbricidae, Scarabeidae. It was revealed that larvae of the mesofauna of soils from the family Curculionidae, Scarabaeidae are characteristic representatives. Representatives of these families can be used as bioindicators in conducting studies on the investigated soils. Bioindicator species of the investigated soils are present irrespective of the use of mineral fertilizers and, accordingly, the level of pesticide content.
Enhancement of Bio-plastic using Eggshells and Chitosan on Potato Starch Based
Authors: Kasmuri Norhafezah , Muhammad  Abu Zait Safwan
Published: April 2019

The extensive production of polymer plastics and their use in different commercial applications had burdened the municipal in cost and operation of the waste management system. This unwanted waste had also posed a significant threat to the environmental surroundings which destroyed biota. Hence, alternatives called bio-plastic evolved as the development of renewable resource by utilizing agricultural, eggshells and exo-skeleton seafood (chitosan) wastes instead of petroleum sources. The aim of this research is to use the eggshells and chitosan as fillers in potato starch to overcome the inherent drawbacks of bio-plastic. The experimental study was done on tensile strength, water absorption and biodegradability for potato starch-based bio-plastic with eggshells or chitosan. The results showed that by adding the eggshells into the potato starch-based bio-plastic had increased the tensile strength by 4.94% compared with chitosan only 1.28%. The reduction of water absorption by 10.95% was determined using eggshells as fillers. Meanwhile, the used of chitosan resulted in 27.59% reduction in water absorption. In eggshells, the weight loss in biodegradability test was 21.06% compared to chitosan of 7.9% within 20 days. It can be concluded that eggshells as fillers performed much better that chitosan in potato starch-based bio-plastic. It also can be deduced that adding fillers in starch-based bio-plastics can improve the bio-plastic performance.
Implementation of Facial Visualization of MBTI Personality Type Based on Augmented Reality and Dynamic Mapping
Authors: Hee Lee Kang , Ganiev Asilbek
Published: April 2019

Nowadays, augmented reality is becoming more and more popular because it can help individuals learn about many things, such as buildings, books, historical places, etc. in real time. The Myers–Briggs Type Indicator (MBTI) test, a questionnaire-based test, is used to determine personality type, which influences perceptions of the world and the ways in which individuals make decisions. This system is based on C.G Jung’s typological theory and was developed by Katherine and Isabel Briggs.     The purpose of this paper is to use the MBTI personality test to define the personality types of users. To accomplish this aim, we used Unity3D, Processing, and Vuforia SDK. First, the processing program was used to produce results from sixteen images and send them to Unity3D. Second, Vuforia SDK was used to recognize masks in real time and map images to the masks. Then, Unity3D displayed the final mapping result.
Prioritizing Learning Topics of Coding Curriculum for Elementary Students Using the Analytic Hierarchy Process
Authors: Lim Dongkyun , Eun Lee Ji , Moon Dosik , Um Gijun
Published: April 2019

As the world confronts the 4th industrial revolution era, there is a growing interest in coding education around the world to cultivate creative and convergent students who possess computational thinking and problem-solving skills. In order for coding education to be successful, the following questions are considered: 1.What should be taught first? 2. How should it be taught? This study aims to determine the priority of leaning topics in elementary school coding education. To do so, a focus group interview was conducted with four experts in the field of coding education, and 12 learning topics were identified. Based on the interview results, a questionnaire was administered to coding instructors. The Analytic Hierarchy Process (AHP) was applied to derive priorities among the learning topics. The results showed that ‘procedural problem solving’ was found as the most important unit that the elementary school coding education needs to deal with. As for the learning topics, ‘problem definition and breakdown’, ‘block coding’, ‘implementation of algorithm’, ‘understanding of algorithm’ and ‘necessity for learning coding’ were found to be the top 5 priorities. Based on these results, this study presents four suggestions to consider for coding education to be carried out more effectively.
An Integrated Communication Message Framework of Inter-Vehicles for Connected Vehicles using Mobile Virtual Fence(MVF)
Authors: Kim Inhwan , Yoo Hyunmi , Young-Hyun Eom , Cho Sungguk , Jeon Byungkook
Published: April 2019

In this paper, we present an integrated message framework of BSM and CAM/DENM as safety messages for V2X communications of connected vehicles in VANETs, and apply it to the mobile virtual fence(MVF), which has been preliminarily researched and developed. To do this, the proposed message framework become united an integrated framework adding up context-aware information of the MVF after comparing and analyzing whether or not the common fields between are. And then, the integrated messages are parsed according to the type of original messages at the destination such as vehicles, ITS(Intelligent Transportation Systems), pedestrians that it received.
A Mutual Awareness Mechanism of Inter-MVFs (Mobile Virtual Fences) to Support Connected Car Service
Authors: Kim Inhwan , Yoo Hyunmi , Young-Hyun Eom , Cho Sungguk , Jeon Byungkook
Published: April 2019

In this paper, we present a mutual awareness mechanism among lots of MVFs(Mobile Virtual Fences) to configure Connected cars service in VANETs(Vehicular Ad hoc Networks). If the MVFs, as our previous researches, mounted on each car are recognized and constructed to each other, the service environment of connected car can be configured and simulated. So it is necessary to have a mechanism that the moving MVFs automatically detect according to the speed. The proposed mutual awareness mechanism is implemented by exchanging messages among inter-MVFs based on context-aware computing. As a result, when the MVFs are mutually recognized, they are basically simulated in a connected car service. Therefore, in the future, the proposed mechanism will be contribute to improve the reliability, safety, and efficiency in the era of autonomous vehicles.
Development of a cloud cover reader from whole sky images
Authors: Yun Han-Kyung , Whang Sun-Min
Published: April 2019

Since the cloud amount in the sky is one of major variables to decide amount of sunshine or solar irradiance. A traditional method is eye-observation and it is widely used up to now. It requires one of observers at observation site for 24 hours due to the hourly observation. Another disadvantage is that there is individual difference and error between observers. Some of leading countries about weather observation have been trying to develop a cloud automatic observation system to replace the eye-observation. As a result, several methods have developed to replace the cloud observers, which have some restriction such as measurement range, accuracy and reliability.Â  The conventional approach distinguishes between clouds and sky regions by RGB color and the ratio of each color in the image, but our proposed method extracts the cloud region using the optical properties of clouds and sky. The suggested method is applied to a randomly selected one day for 24 hours.Â  The result shows that the amount of cloud compatible with the results of the existing observations be abele to obtained, and further quantified data can be obtained.Â
Strengthening of Reinforced Concrete Beam Elements by Wrapping with Gfrp
Authors: Tamil Selvi Dr , P.B. Sakthivel Dr , PoornimaGandhi R
Published: April 2019

Structural elements need to strengthening and retrofitting works as a result of ageing, upgrading of structure due to new design codes or any Environmental issues. The strengthening or retrofitting of existing structures are done externally to the structural members using various techniques such as jacketing, retrofitting, guniting and shotcreting, and ferrocement techniques. The experiment is carried out to increase the load carrying capacity of structure by wrapping externally the beam elements with Glass Fibre Reinforced Polymer mats (GFRP) is wrapped around the beam elements. The load carrying capacity is analysed using single and double layer wraps on damaged and undamaged specimens and compare with conventional beam as control specimens. Beam specimens of size 750 mm x 150 mm x 150 mm with M30 Grade concrete used in the experiment. The result of flexural strength and load – deflection of test and control beam have brought out with energy absorption coefficient. The study results have demonstrated that the performance of 1 layer GFRP wrapped beams show an increased load carrying capacity of 1.86 times of that of conventional beam, and 2 layer  GFRP wrapped beam show an increase  in load capacity of 2.6 times of that of conventional concrete.
Textile Industry Wastewater Color Removal Using Lemna Minor L and Lemna Minuta L
Authors: Sivakumar D , Anand R , Saral Asanammal
Published: April 2019

The influence of various nutrient dosages, dilution ratios and pH values was evaluated with different contact time against colour removal from textile industry wastewater using Lemna minor L and Lemna minuta L.  The optimum nutrient dosage, dilution ratio, and pH value was found to be 50 mg, 8 and 8 respectively. The maximum colour removal corresponding to the optimum process parameters value observed using Lemna minor L as 82.85 % and using Lemna minuta L as 89.5 %. Further, verification was done and showed that the maximum colour removal percentage from textile industry wastewater is lower than colour removal from an aqueous solution.  The results of this study concluded that Lemna minuta L removed more colour than Lemna minor L and both were identified to reproduce the obtained optimum process parameters and for removing colour in a textile industry wastewater.
Improving the Vehicular Networks (Vanet) Qos through Various Routing Algorithm – a Survey
Authors: Newbegin M , A.Rengarajan Dr
Published: April 2019

Vehicular Ad hoc Network (VANET), a subclass of portable Ad Hoc arranges (MANETs), is a promising methodology for future wise transportation framework. The principle distinction amongst VANET and MANET is the unique portability design and quickly alterable topology. Because of a ton of aggravations in city condition, the greater part of the current convention neglects to give more prominent effectiveness. This article gives a thorough investigation of MANET and VANET, its qualities, the directing conventions and the correlation of both progressive systems. The rising and a testing convention ABSTAR is talked about in detail with the correlation of couple of other directing calculation to discover the throughput esteems and keep away from the bundle drop. Planned particularly for execution change in exceptionally portable condition of VANETs (city condition).
A Smart Watchdog - Intruder Detection System
Authors: Vasuki P , Priya A Sesu , R Soundarya
Published: April 2019

In todays world, Security is a matter of great concern. Security controls play a vital role in protecting resources from espionage, sabotage, damage and theft. Our proposed system is to develop a security system with improved facilities, which tries to eliminate the limitations posed by the existing security systems. The current manual security system depends mostly on human involvement, which is prone to error, and the security is concentrated only at the front door which requires subjects cooperation. To solve these issues we have proposed a Smart Watchdog System. The system watches the environment, and if there is a human activity, the system captures it. The system automatically detects faces of the individual from the activity using firmware. We have planned to maintain the database of authorised inmates and workers of a place and verifies of every individual arriver. This feature enables the system to automatically recognises the unauthorised users and gives an alert when it encounters entry of unauthorised users even without the human assistance. The system also detects the unauthorised entry in the mass. The entire system is planned to be ported to Raspberry-Pi based Embedded System supported with DC power back up. This method can be employed in ladies hostels as well as to the secured places like the data centre, atomic research centre and military where the unauthorised entry is restricted.
A Survey on Multi-Layer Mimo for Lte/Lte-Advanced
Authors: Devi.J Anjana , R. Dhaya Dr , R. Kanthavel Dr
Published: April 2019

The primary intention of the paper is to explore on various Multi-Layer MIMO approaches for the higher system performance. MIMO technique is said to be the key technology in LTE-A to achieve the spatial diversity in the system. Multi-Layer MIMO is the enhancement to the MIMO technology where multiple streams of data could be transferred to different layers for optimization with increased capacity in the network in high SNR condition. In a massive MIMO system, the cell interference hinders the system performance due to high channel dimensionality. The main design objective of the Multi-Layer MIMO techniques studied is to reduce the Cell Interference with lower complexity.Â Â
Rejection Rate Analysis on Rail Wheels
Authors: N Gayathri , E Prakash , P Manikandan , N Karthick , S Aravindh , M Rohini
Published: April 2019

These analysis ambitions to ascertain the major core cause of failures of rail wheels and to prevent the occurrence of same in future. One working model of train is developed to estimate the heat generated at brake pad-wheel and rail-wheel interfaces for locomotive and wagon wheels using the performance characteristics of brake blocks, the slip characteristics of wheel-rail traction and the resistance characteristics of a running train for given operating and braking conditions. The heat dissipation characteristics of rail-wheel and brake pad units interfaces in locomotive and wagon wheels and wheel running temperatures for different wheel profiles for different train running conditions are estimated. This work is carried out to identify the under-lying machinery of locomotive wheel failure due to widening and condemning of gauge. It has also accomplished the investigation on the impact of the type of brake block, wheel profile and braking conditions on locomotive wheel fiasco from gauge widening and condemning are also been carried out. It is suggested to use a high friction coefficient composite brake block results in higher wheel temperatures and cause large gauge changes, particularly for independent braking. Further, S-shaped wheels are found to be best suitable for avoiding undue gauge reduction or increase.
Inter-Contact Routing for using Mobile Phone System
Authors: M.Malathy Dr , J.Alin Mercybha P , Jebasty Kiruba J , Benisha M
Published: April 2019

Disaster management is the important filed in our world. It is based on communication between rescue-workers and trapped survivors in the disaster situation. In this paper, two main components are namely messaging system and self rescue system. Messaging system runs on rescue workers as-well-as trapped survivors. Self rescue system runs on trapped survivors. When the rescue workers enter into the spot for recovery works they will provide network continuously within certain distance and range.  The head node collects all the necessary information about the nearby trapped survivors in their group. The rescue worker forwards the collected information of the trapped survivors to the command centre. The command centre finds the route between rescue workers in disaster region using AODV routing protocol.
Sustained Release of Nanoformulation of Diethyl Carbamazine (Dec) for Filariasis â€“ a Review
Authors: Yuvaraj D , Jai Preethi P , Saravanan A , H. Smila K
Published: April 2019

Lymphatic filariasis (LF), is a mosquito vector-borne disease and a major public health problem in the tropical countries. The annual mass drug administration (MDA) in India was studied in 1996-97. It was introduced with single dose of Diethylcarbamazine and was investigated Â as a pilot project covering 41millon population. The study was extended to 77million population by 2002. The MDA is one of the strategies to eliminate LF in India. Liposomes, polymeric and solid lipid nanoparticles are the most promising nanopharmaceuticals which are easy to formulate, cheaper and can bring prolific consequences for filariasis management.Â Â
A Study on Adsorption Capacity of Activated Carbons through Analysis of Variance (Anova)
Authors: Govindasami S , Sivakumar D , B Sakthivel P
Published: April 2019

Recycling and reusing the waste is one of the agenda of sustainable development. Hence this investigation was carried out on utilizing the industrial sludge as activated carbon. The sludge was collected from treatment unit of sugar mill industry, paper mill industry and tannery industry and activated carbon was prepared and named as sugar mill sludge activated carbon (SSAC), paper mill sludge activated carbon (PSAC) and tannery industry sludge activated carbon (TSAC). Batch studies were performed between dye solution and activated carbon to determine adsorption capacity of adsorbent and optimum contact time for the contact process. The optimum contact time and optimum dosage was found to be 120 min and 3.0 g respectively. The maximum adsorption capacity of SSAC, PSAC & TSAC on the concentrations of 10 mg/l of reactive dye solution for the dosage of 3.0 g was 100 %, 92.88 % and 88.54 %. The experimental data and analysis was checked by ANOVA table analysis to justify mathematically. As per ANOVA table the mean performance of SSAC is higher and TSAC is lower. So, finally it is concluded that the experimental results are justified by the ANOVA table analysis on the adsorption capacity of activated carbons.Â Â Â
Study on Photholes
Authors: Manoj Yadav B , Anusha N
Published: April 2019

This paper highlights pothole detection methods and identifies a cost-effective solution for potholes in order to give timely alerts to drivers to avoid accidents and vehicle damages.Â Â
An IoT Framework for Real-Time Event Detection and Acquisition Using Mobile Sink
Authors: Prasad Nayak Samaleswari , Champati Rai Satyananda , Kumar Pradhan Sateesh
Published: April 2019

Immediate service provisioning with real-time attention to a critical patient at remote locations is a challenging task for health care unit personnel. Several incidents remain unattended for long duration due to tracking difficulties to the exact place of event. During accidents, natural calamities, any kind of disaster, providing the basic services to the affected people is a great challenge to the persons present nearby the location. This requires a real-time event status report collection, monitoring condition, arrange and provision system in place. Similarly during critical situation of a patient in hospital if the user requires blood platelet and plasma from a different centre to current place, which may not possible due to heavy traffic in the locality. In this regard we propose a quadcopter based mobile sink to navigate to the place, track, monitor and inform to the remote server which can also be treated as an intra-city delivery model. A gamepad is used to control the quadcopter from the nearby place, its movement mechanism is controlled by the integration of different sensors and other components. Several applications have been used in our model to control the position of quadcopter, capture images through sensors and forward the information to the destination to achieve the objective of real time data acquisition and assistance at the unreachable place of the event, with minimal delay.Â
Analysis of Voice Signals Change by Voice Modulation Program
Authors: Hyun Kim Bong , . .
Published: April 2019

Background/Objectives: Voice modulation is used in various fields. Especially, it is widely used in entertainment program for voice tampering to give viewers fun, and voice tampering to guarantee the victim 's identity in news. However, in recent years, voice tampering has been exploited for crime. As the information and communication technology in the information society has developed rapidly, the crime using voice modulation is increasing.Methods/Statistical analysis: Therefore, in this paper, the change of voice signal is analyzed by analyzing both normal voice and modulated voice. For this purpose, general voice was collected using the same place, time, microphone, etc., and a modulated voice was collected by applying a voice modulation program. In addition, various voice analysis parameters such as spectrum, formant, intensity, pitch, pulse, jitter, shimmer, DoVB, and NHR were applied to the study.Findings: Experimental results show that the difference between the normal voice and the modulated voice is caused by various voice signal analysis parameters due to voice modulation. Especially, in the modulated voice, the spectrum, pitch, and DoVB values were decreased as compared with the general voice. In addition, jitter, shimmer, and NHR values resulted in a result that the modulated voice was higher than the normal voice. There was no significant difference in strength, formant and pulse measurements. Based on the results of this study, it is possible to reflect the changed voice analysis parameters by the voice modulation program.Improvements/Applications: Voice modulation is useful in various aspects such as fun and identification. However, it has been recently exploited in the same way as voice phishing. Therefore, in this paper, we measured the voice analysis parameters that are changed by the voice modulation program. Based on this, we compared and analyzed the general voice and the modulated voice and extracted the pattern of the voice signal changed by the voice modulation.Â
Analysis and Modeling of Generic Mac Protocols in Wireless Sensor Network
Authors: R Sheelavantar Praneeta , A Joshi Shreedhar , A Bidkar Gopal
Published: April 2019

Nowadays Wireless Sensor Networks are used everywhere, which plays an important role in recording the physical conditions of the environment and organizing the data collected at a central location. WSN has many applications in fields such as military, home automation, industries, commercial, battle field, food safety etc. This paper presents the analysis of Generic MAC Protocols with different routing protocols using Qualnet 7.4 simulator. The simulation result shows that comparing with other MAC protocols SLOT CSMA/CA gives better performance. Total unicast message sent, received, average end-to-end delay, average jitter, average throughput, energy consumed, packets received and lost are analysed for each routing protocol.Â Â
Hybrid System of Proton Exchange Membrane Fuel Cell (PEMFC) with Battery for Portable Power Supply
Authors: Thapa Prakash , Gi Kwon Sung , Lee Jin , Choon Park Gye
Published: April 2019

Background/Objectives: The combustion of fossil fuels and increased number of advanced technology leads to the global warming and climate change. So, to reduce the greenhouse gas emission and conserve the energy we need to use green energy like fuel cell and Li-ion battery system. This hybrid system consists of PEM fuel cell stack, Li-ion battery and bidirectional step up converter and can be used stationary as well as mobile equipment like vehicles.Methods/Statistical analysis: For the analysis of hybrid PEMFC/ Li-ion battery power supply system, portable embedded motor is proposed in this paper. The modeling, design, implementation and performance of hybrid system are demonstrate by using experimental results as well as MATLAB/Simulink.Findings: The simulation results shows that hybrid fuel cell-battery system could provide the continuous power to the sudden changing load and protect the devices. The results also shows that, bidirectional controller can successfully control the fuel cell output and maintain the state of charge of battery at a constant level which provides the significant efficiency of the hybrid power supply system and increased the life-cycle of the system more than 35%.Improvements/Applications: To improve the fuel cell system performance we need to provide the favorable conditions of temperature, pressure, humidity and control the flow rate of reactant gausses. Similarly, due to internal resistance, temperature, material used in manufacturing process, charging and discharging strategy reduces the efficiency as well as life of the battery pack. By using proper voltage balancing methodology we can maintain the similar voltage and prevent from irregular charging.Â
Study on Hybrid Fuzzy Controller Design by Model Reduction Method
Authors: Ho Cho Joon , . .
Published: April 2019

Background/Objectives: In this paper, we proposed an improved model shrinking method and a hybrid-smith prediction fuzzy control design using a reduced model.Methods/Statistical analysis: The method of model reduction is based on Nyquist curve of frequency response, and the reduced model is obtained by considering the response of the transient state and the response of the steady state to the method. The proposed hybrid-smith prediction fuzzy controller tuning method was able to obtain the parameter value by utilizing a reduced model and using a genetic algorithm.Findings: The optimum PID controller design method using the reduced model applied a reduced model and a Smith prediction structure that compensates for the delay time in order to improve the control performance, and as a result, in order to minimize the performance index ITAE value I was able to design a controller. Here, the value of the control parameter was used by combining a method of directly obtaining the reduced model and a method of using the genetic algorithm by numerical analysis. In conclusion, the design method of the hybrid-smith Fuzzy control is a method of controlling by combining the PID controller, the Smith prediction compensating the delay time and the fuzzy controller in parallel, the value of the PID control parameter is optimized using the reduced model The value of the PID parameter was determined. The conversion coefficients (GE, GD, GH, GC) of Fuzzy control were obtained by applying genetic algorithm.Improvements/Applications: In the proposed method, it is possible to obtain directly the value of the parameter of the optimum PID controller and the value of the Smith prediction by using the reduced model, and the part of the Fuzzy conversion coefficient can be obtained by using the genetic algorithm , The ITAE performance index improved more than the conventional method.Â Â
Analysis of Heavy Metals in Pigments Used in Makeup Tattoo
Authors: Seong Lee Hui , Seung Choi Jung , Jin Baek Dae , Ra Jeong Mi
Published: April 2019

Background/Objectives: This study aims to provide basic material to establish safety sign standard and control standard of cosmetic tattoo pigment by analyzing heavy metal component of pigment used in cosmetic tattoo.Methods/Statistical analysis: The experiment analyzed heavy metal such as antimony(Sb), cobalt(Co), copper(Cu), lead(Pb), zinc(Zn), barium(Ba), tin(Sn) included in regulated item by applying safety standard of prohibition of use or content restriction of hazardous material since September 26, 2015 in accordance with â€œAct on Registration, Evaluation, Etc. of Chemicalâ€ simplemented by the Environment department on June 26, 2015.Findings: As a result of examining the contents of heavy metals in dyes and pigments used in cosmetic tattoo products, it was found that the total of 5products exceeded the reference value and found to be unsuitable for safety standards.Improvements/Applications: it requires marking of detailed compound ingredient and guidelines. There is a need for micro content analysis using precise measuring tool in the future.Â Â
Direct Product of Finite Interval-Valued Intuitionistic Fuzzy Ideals in BF-Algebra
Authors: Ramesh D , Satyanarayana B , Srimannarayana N
Published: April 2019

The present paper gives direct product of finite interval-valued intuitionistic fuzzy ideals. Â Furthermore, we add more useful results and also prove that, let be interval-valued intuitionistic fuzzy ideal of BF-algebra X. If Â and for any, then Â is an interval-valued intuitionistic fuzzy H-ideal of BF-algebra X.Â
Effect of Bio-CNG Flow Rate on Modified Diesel Engine Run with Dual Fuel
Authors: Channappagoudra Manjunath , Ramesh K , G Manavendra
Published: April 2019

In the first phase of investigation standard engine (SE) parameters are modified and optimized as Injector opening pressure (IOP) of 230 bar, Injection timing (IT) of 26.deg.bTDC, Compression ratio (CR) of 18, Nozzle hole (NH) of 5 hole and Piston bowl geometry (PBG) of Re-entrant toroidal piston bowl geometry (RTPBG)) when engine is operated with B20 (20% dairy scum biodiesel+80% diesel) fuel blend sole. The modified engine with these optimized parameters has shown improved brake thermal efficiency (BTE) when compared to standard engine operated with B20 (B20-SE), which could be attributed to improved fuel atomization, reduction of fuel droplet size, increased cylinder temperature, enhanced swirl and squish in the modified engine. In second phase of investigation, dual fuel (B20+Bio-CNG) experiments are conducted on modified engine to examine the effect Bio-CNG (enriched biogas/methane) flow rates such as 0.12, 0.24, 0.36, 0.48, 0.60 and 0.72 kg/hr on modified engine performance, exhaust emission and combustion characteristics. Then dual fuel experimental results are compared with neat diesel and B20 fuel operations. The dual fueled engine with all Bio-CNG flow rates has resulted lower performance and combustion characteristics with increased emissions (HC and CO) when compared to single fuel (B20) operated engine. From dual operation, it concludes that 0.48 kg/hr Bio-CNG flow rate has experienced the smooth running and improved performance, emission and combustion characteristics among all other Bio-CNG flow rates, hence 0.48 kg/hr Bio-CNG flow rate is optimized.Â Â
Neutrosophic Fuzzy Soft Game
Authors: Selvakumari K , Lavanya S
Published: April 2019

The Soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainity.This paper is devoted to the discussions of Neutrosophic fuzzy soft set. A new game modelis proposed and called Neutrosophicfuzzy soft game since it is based on Neutrosophic fuzzy soft set theory. We concentrate on discussing a class of two person zero-sum games with Neutrosophic fuzzy soft payoffs.The proposed scheme is illustrated by an example regarding the pure strategy problem.Â Â
An Effective Method to Denoiseeeg, ECG and PPG Signals based on Meyer Wavelet Transform
Authors: Thamarai P , K.Adalarasu Dr
Published: April 2019

In this analysis, the prevailing role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the constant and the discrete transform are considered in turn.A Wavelet denoising is functional on the original signal to eradicate high frequency noise, and then a process based on Meyer wavelet transform combined with adaptive filter is functional to eradicate the motion artifact. This approach uses Meyer Wavelet decomposition to extract the motion artifact, which is subsequently utilized as the reference input of an adaptive filter for noise cancellation. The technique diminishes the overhead of the circuit because it does not need a separate collection of reference input signal which link to noise. Testing results illustrate that this approach can efficiently remove motion artifact and make better the signal quality.Â
Oil and Gas Enterprise, Effect of Compensation, Working Environment, and Motivation to Performance Account Representative Tax Service Office
Authors: HD Simbolon Linda , Halim Paisal , Badruddin Syamsiah , Hendarso Panji , . Yulianto , . Mahfud , Ikhsan Setiawan Muhammad , Saleh A A
Published: April 2019

According to Gibson et al. (2012) quoted by Wibowo (2015) "Performance is the result of work related to organizational objectives such as quality, efficiency and other criteria of effectiveness." Account Representative Performance is a result of the Account Representative in performing his duties in accordance with the responsibilities assigned to him. Compensation, work environment, and motivation is Believed Account Representative will effect performance. According to some experts, compensation effect on performance (Holt, 1993) and compensation Becomes the main thing to Attract and MOTIVATE employees to improve Reviews their performances (Ivanceikh and Glueck, 1989); work environment effects on performance (Leaman, 1995); effects on performance and motivation (Vroom, 1964; Moorhead and Griffin, 1998). The purpose of this study is to analyze the effect of compensation, work environment, and motivation on Account Representative Performance of Oil and Gas Tax Office. This research was conducted by taking the samples from all Account Representatives of Oil and Gas Tax Office as many as 37 respondents. Data were collected through questionnaires in the form of a list of statements. The technique of data analysis used is Multiple Linear Regression Analysis using SPSS Version 23. Based on the result of the analysis, it was proved that compensation, work environment and motivation have a positive and significant influence on Account Representative performance of Oil and Gas Tax Office either partially or simultaneously.
Generalized Statistical Modeling Maternal Infant HIV Transmission with Constant Hazard Rate
Authors: S. Shende S. , M. Kale M. , Gupte N.
Published: April 2019

Knowledge of the timing of perinatal transmission of Human Immunodeficiency Virus (HIV) would be valuable for the determination and evaluation of preventive treatments. Effective strategies are urgently needed to reduce mother to infant perinatal HIV transmission. Various ongoing or planned trials and studies concentrate on mode of infant feeding or antiretroviral therapy to the infant over the breastfeeding period. It is essential to determine the risk of perinatal HIV transmission. Further it is also essential to observe when the perinatal transmission takes place in infant. The main idea of modeling is to estimate the probabilities of positive polymerase chain reaction (PCR). The transmission of HIV from a HIV-positive mother to her child during pregnancy, labour, delivery or breastfeeding is called perinatal transmission.  It results from fetal exposure to the maternal fluids or infected maternal secretions. The present article proposes the generalized statistical models that simultaneously estimate the risks of perinatal transmission together with the sensitivity of the screening tests for HIV infection. The article aims at brief overview of exponential and geometric distribution as lag time distributions. The methods are illustrated with the data from a randomized control study, conducted in South Africa.
Formative Evaluation of an Educational Mobile Application: an Interactive MyQiraat Application
Authors: Fitriah Ishak Syahidatul , Mohd Zaki Zulkifly , Anuar Mohamad Khairul , Norazizi Sham Mohd Sayuti M , Azim Mohd Bahrin Muhammad , Haziana Abdul Roni Nur , Arif Musa Muhammad
Published: April 2019

This research is concerned with deploying design pattern and formative evaluation for Qiraat mobile application using both Rapid Application Development (RAD) and User Experience (UX) methodologies. The ultimate aim of this research is to encourage ubiquitous teaching and learning of Qiraat through mobile devices. In this paper, continuous progress of MyQiraat design will be presented. The improvement of MyQiraat version design has been evaluated using high-fidelity and low-fidelity prototypes for MyQiraat version 1 and version 2 respectively. Results show that most participants realized the potential benefits of the application allowing a better understanding and encouragement of Qiraat learning among them. However, participants’ feedback should be considered in the development of the prototype.
Design of Instrumentation in Detecting Blood Sugar Levels with Non-Invasive Technique Base on IoT (Internet of Things)
Authors: Agus Suprayitno Eko , Setiawan Akhmad , Dijaya Rohman
Published: April 2019

Diabetes mellitus is a disease with metabolic disorders that result from defects in insulin secretion, which results in hyperglycemia with impaired carbohydrates, fats and body proteins. Diabetes mellitus can be known by measuring blood sugar levels which are generally done by injuring the body (Invasive) for blood. Normal blood sugar values range from 70 - 200 mg/dL. For people with diabetes mellitus, checking blood sugar is an important thing to do to maintain their body condition. In this study made Instrumentation detection of blood sugar levels non-invasive (does not hurt the body). This study uses the MAX30100 sensor as a non-invasive measure of blood sugar levels, because to determine blood sugar levels is only done by attaching the index finger to the sensor, and does not hurt the fingers. The value of blood sugar levels in this instrumentation is displayed on LCD and Android smartphones. For serial communication, Instrumentation with Android smartphones is done with IoT (Internet Of Things) technology to make it easier for medical officers to monitor the condition of diabetics through remote Android smartphones. From the results of testing Non-invasive blood sugar detection instrumentation with industry standard blood sugar measurement (Invasive), the accuracy of blood sugar readings was 90.3% with a deviation of 1.2 - 39.6 mg/dL. Tests were carried out on 14 Normal patients and people with diabetes mellitus. Reading distance reading Non-invasive blood sugar detection instrumentation with an Android Smartphone can reach a distance of 823 Km as long as Instrumentation is connected to the internet. Tests have been carried out in several cities including Sidoarjo, North Jakarta, Sidoarjo-Lamongan, Sidoarjo-Kediri.
Comparison of Nine Meteorological Drought Indices Over Middle Euphrates Region During Period from 1988 To 2017
Authors: A. Alwan Imzahim , Razzak T. Ziboon Abdul , G. Khalaf Alaa
Published: April 2019

The aim of this research is compare between nine drought indices and evaluate their performance with respect to predict and monitoring drought over Middle Euphrates region during period from 1988 to 2017.These indices are RDI, Normal SPI, Gamma SPI, Log SPI, CZI, MCZI, RAI, PN, and DI.Season and annual time scale were used to calculate all indices at Dewaniya, Hilla, Karbala, Najaf, and Semawa stations. The Pearson correlation coefficient between nine drought indices were analyzed. Annual and seasonal results illustrated that the maximum value of correlation between RDI and the other indices was noted with Gamma SPI and Log SPI at all stations. In annual time scale, the correlation coefficient reached to (0.99) at all stations except Hilla station, where it reached to (0.98), while in seasonal time scale the correlation coefficient reached to (0.98) at all stations. The RDI, Gamma SPI and Log SPI indices have similarity of classes and frequencies for drought. They also have similarity of frequencies for wet but there are minimum differences between wet classes compared to other indices. The RDI, Gamma SPI and Log SPI are good indices to predict and monitoring drought in study area in comparison to other indices which mentioned above.
Integrating Business Improvement and Innovation Models: a Step Change Approach for Organisational Performance Improvement
Authors: Al-Tameemi Khaldoon , Alshawi Mustafa , Ahmed Vian
Published: April 2019

The purpose of this paper is to propose an alternative approach to guide public sector organisations, in the developing world, to quickly create an effective work environment to attract Multinational Corporation (MNCs) to foster Foreign Direct Investment (FDI) inflows to deliver their large and strategic investment Projects. The paper provides extensive literature review to discuss the need for public sector performance improvement, in the developing world, and its impact on attracting MNCs and fostering Foreign Direct Investment (FDI) as well as understanding the existing performance methodologies that can help such organisations improvement their performance. The paper, then proposes an alternative to the existing performance improvement methodologies that is capable of introducing a step change to the performance of public sector organisations in a relatively shorter period of time to enable developing world countries to attract MNCs to deliver their strategic projects. A multiple case study research strategy was selected to validate the proposed approach. The findings have confirmed the effectiveness and appropriateness of the proposed approach for overcoming existing weaknesses in the performance of public sector organisations in a relatively shorter period of time. The proposed approach addresses the weakness of the existing performance improvement methodologies to overcome the time factor required for public sector originations to introduce significant performance improvement to attract FDI projects. It can serve as an alternative management structure that is specifically developed to emulate world-class performance in a short period of time without the need to get into the complications of using existing performance improvement methodologies for such organisations, which is rather complicated, lengthy and highly risky.
A Study on Cybersickness Reduction Method using Oculomotor Exercise
Authors: Ho Kim Yeol , Ko Junho , Jang Seong-wook , Seok Kwang-Ho , Son Wookho , Sang Kim Yoon
Published: April 2019

VR content has problem in causing cybersickness to user. Nevertheless, the main reasons causing cybersickness have not been identified. In this paper, we proposed a cybersickness reduction method using oculomotor exercise. The proposed method was examined through an experiment measuring human factors such as simulator sickness questionnaire (SSQ) and blood sampling. Experimental results with oculomotor exercise showed that cortisol in blood were not increased. Therefore, it was confirmed that the proposed method was effective for reducing cybersickness reduction.