bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancement the Performance of Asphalt Pavement Using Fly Ash Wastes in Saudi Arabia
Authors: Dahim Mohammed , . .
Published: April 2019

Saudi Arabia is the largest Arab country and is one of the most prolific producers of oil and energy consumption. The Kingdom uses heavy oil and diesel to generate electricity and desalinate seawater. This produces large amounts of ash, a toxic substance that is disposed of by landfill and may cause many environmental problems and contribute to pollution of groundwater, which is one of the most important sources of drinking water. This paper presents the possibility of using fly ash by-product waste from electric power generation plants to improve the properties of asphalt mixtures. This study investigates the use of two types of fly ash namely; class C and class F was used as a filler in two types of bitumen and asphalt material known as AC 40/50 and AC 60/70. The rheological performance of asphalt with different percentages of fly ash filler ranging from 0% to 10% with an increment of 2% was tested. The rheological properties of both asphalts modified using both types of ash were determined. The rutting factors of the modified asphalt with fly ash content were calculated using the rheological properties. The result indicates that rutting resistance of asphalt could be improved by both types of fly ash which can be lead to reduces the costs of repairing and rehabilitation of asphalt pavement and reduce environmental impacts of a significant amount of toxic waste fly ash. Class F fly ash shows higher rutting factor than class C. Also AC 60/70 asphalt possess higher rutting factor than AC 40/50 asphalt at both low and high temperature.
Application of Multi Attributes for Feasibility Study of Fractures and Structural Anomalies in Malaysian Basin
Authors: Hamidi Rosita , Bashir Yasir , Prasad Ghosh Deva , Akhtar Saeed , Iqbal Sheikh Manan
Published: April 2019

There have been lots of efforts to study the geological characteristics and structure of the Malaysian Basin. Faults and fractures are of great importance due to the role they can play affecting different phases of a hydrocarbon prospect life from exploration through production and even abandonment. Carbonate build-ups are another type of significant geological anomalies in the area; because they are proved to be promising prospects. Application of seismic attributes on three dimensional seismic data has been proved to be useful in the study of such features. Each attribute is based on certain property of the seismic data which itself is the result of relevant geological phenomena. In this paper, different seismic attributes that can emphasize on the aforementioned geological anomalies are used in Malaysian Basin. Based on the results and their comparison, it is seen that combination of the results of different attributes can provide a much more convenient outcome.
Reduction of Energy Consumption in Hotels with Aerothermal Energy. Case Study: Canary Islands (Spain)
Authors: Javier Díaz Perez Francisco , Chinarro David , Rosa Pino Otín M , Díaz Martín Ricardo , Guardiola Mouhaffel Adib
Published: April 2019

This article presents a management model and control of energy efficiency in hotels adapted to the consumption patterns that ensure the comfort requirements of customers and integrated into the environment of an intelligent tourist complex. The analysis of the hot water system (DHW) of two hotels in the Canary Islands (Spain) in relation to their occupation, yields a solution based on renewable energies using high temperature heat pumps with aerothermal dissipation and supported by boilers of existing LPG propane. The control by programmable automatons (PLC) integrated in a system of control and acquisition of data (SCADA) optimizes the systems to maintain the maximum accumulated energy during the periods of cheapest electric tariff, by means of a system of opening and closing of hydraulic Valves that It manages to adjust the demand of DHW consumption to achieve the highest energy accumulation during the hours with the cheapest electricity tariff. The result after two and a half years of activity registration is a faster return on investment due to the optimized energy management of the system, through the control of operating hours adjusted to the needs of customers and the hourly rate. It has also been predicted that during the estimated 12 years of the system will have saved more than € 1,179,737 and thermal 8,780,005 kWh in a hotel 1 and € 1,315,104 and thermal 9,522,301 kWh in the hotel 2. This model shown can be seen how economically and energetically very efficient.
A Conceptual modelling of QOS’ Web Service Framework
Authors: Charoenporn Pattama , . .
Published: April 2019

The evolution of web service technologies is well known in many organizations. When many organizations want to develop our business, they will add new services in their businesses policy, these additions may help the organization to increase some policy but it is difficult to implement some requirements. To solve this problem, we present the new paradigm of QOS for develop web service that is the procedure to implement web service and help developer to create service appropriate each business process. This conceptual of modelling based on LSS and BWW framework and under business practice guideline the example is Cobit and ITIL for approximate each of business process. In success, we illustrate our approach by class diagram that design under conceptual of modelling quality of service for web service and implement web service for test this idea. Then we choose 2 scenarios in different combination of QoS requirements for test, the results show that this technique is satisfy for choose and we think this paper can be guideline for researcher in the future.
A Study on the Clustering of Bidding Company Trends Using Machine Learning Based G2B Data
Authors: Sun Kim Min , Soo Choi Eun , Soo Kang Min
Published: April 2019

KONEPS is the National Comprehensive Electronic Procurement System of the Public Procurement Service. If KONEPS can know the bidding possibility and trend before bidding, it will be more efficient for companies to bid. In this paper, we used in the experiment was the data of "Progress Bidding Classification" of the Procurement Information Open Portal. And preprocessing process was performed to facilitate prediction model learning. Prior to learning, preprocessed 1,158 data sets were normalized to match the range of data or to make the distribution similar. After normalization we select the number of cluster. As a result of K-Means Clustering, Biddropping is 77 ~ 80%, Budget Allocated is about 2 billion Won(₩), Biddropping is 83 ~ 87%, Budget Allocated is about 1 billion won, bid dropping is 87 ~ 90% Budget Allocated is distributed around 500 million won. And can be confirmed that the cluster is divided based on the number of enterprise 58. Through the results, it is possible to study the tendering trends through the community by learning the prediction models of the bidder companies, the number of bidders, and the tendency of the bidding business, and it will help KONEPS to develop the next generation ISP.
Development of Personalized Travel Products for Smart Tour Guidance Services
Authors: Woo Jwa Jeong , . .
Published: April 2019

Smart tourism is the application of the key technologies of the 4th industrial revolution. This research proposes a smart tourism system to develop the personalized travel products for smart tour guidance services. The proposed smart tourism system consists of a smart tourism app and a smart tourism server. Adobe XD is used to UI/UX design of the android based smart tourism app. The smart tourism server provides the recommend travel products to FITs before or during the trip. FITs can create the personalized travel product using the chosen recommend travel products, tour information such as tourist attractions, lodgments, and restaurants. During the trip, FITs can use smart tour guidance services according to the tour schedule in the personalized travel product. In the developed smart tourism system, FITs can modify the personalized travel product during their trips and register them as the recommend travel products after their trips.
Application of Particle Imaging Method for Measurement of Solid Volume Fraction in Carbon Nanotube Particles Fluidized Bed
Authors: Won Kim Sung , . .
Published: April 2019

Solid volume fraction in the carbon nanotube (CNT) fluidized bed reactors is an important parameter which is responsible of fluidization quality and the design of reactor. The solid volume fraction can be obtained from the pressure drop across the bed with the information of gas and particle densities. However, previous method such as the Hg-porosimetry for the measurement of the particle density did not adequately draw the solid volume fraction of the CNT aggregates with entangled nanotubes network. A new method to measure the apparent particle density of the CNT aggregates was proposed to calculate the solid volume fraction in the CNT fluidized bed. The density of the vertically aligned CNT particle was measured based on the apparent volume by shape analysis using two dimensional imaging. The solid fraction based on imaging method showed a significant value of 0.69 for the fixed bed, which describes well the entangled structure of the CNT aggregates. The distribution of solid volume fraction in the CNT fluidized bed with variation of gas velocity was determined based on the imaging method. The method was verified by applying the obtained values to the Richardson-Zaki equation on the bed expansion in the fluidized bed.
Big Data Analysis Model for MRO Business Using Artificial Intelligence System Concept
Authors: JUNG Inhwan , SUN He , KANG Jangmook , Hyong Lee Choong , LEE Sangwon
Published: April 2019

The rapidly changing environment of the shipbuilding industry has put Korea’s shipbuilding industry in a crisis. The purpose of this study was to develop a business model to maintain, maintain and operate Big Data-based MRO(Maintenance, Repair, and Operation) consumables, which is expected to be the new growth engine for the domestic shipbuilding industry. Although Korean shipbuilders have world-class technologies for ship dogma, the market for ship maintenance and repair is still in its infancy. For Korean shipbuilders, MRO business can be a growth engine that will provide food for the next 30 years, but to do so, we need to make sure that everything that happens in the entire process, from ship design to maintenance and maintenance. Therefore, by systematically establishing Big Data related to components and developing MRO business models based on data analysis capabilities using Artificial Intelligence system concept, we can develop new growth engines for related industries in Ship Industry.
Deep Neural Network for Product Classification System with Korean Character Image
Authors: Sung Jae-Kyung , Park Sang-Min , Sin Sang-Yun , Bok Kim Yung
Published: April 2019

This paper proposes a product classification system based on deep learning using Korean character images (Hangul) to search for products in the shopping mall. Generally, an online shopping mall customer searches through a category classification or a product name to purchase a product. When the exact product name or category is not clear, the user has to search its name. However, the product image classification is degraded because the product logos and characters in the package often interfere. To solve such problems, we propose a classification system based on Deep Learning using Korean character images. The learning data of this system uses Korean character images of PHD08, a Hangul (Korean-language) database. The experimental is carried out using product names collected on the web. For the performance experiment, 10 categories of online shopping mall are selected and the classification accuracy is measured and compared with the previous systems.
LOD Development System for Medical Information Standard
Authors: Moon Hee-kyung , Han Sung-kook , An Chang-ho
Published: April 2019

This paper describes Linked Open Data(LOD) development system and its application of medical information standard as Observational Medical Outcomes Partnership(OMOP) Common Data Model(CDM). The OMOP CDM allows for the systematic analysis of disparate observational database in each hospital. This paper describes a LOD instance development system based on SII. It can generate the application-specified instance development system automatically. Therefore, we applied by medical information standard as OMOP CDM to LOD development system. As a result, it was confirmed that there is no problem in applying to the standardization of medical information using the LOD development system.
A Survey on Malware Detection Techniques on Linux Powered Smart Phones using Machine Learning Approaches
Authors: Rahul Y. Pawar Mr. , C.Mahesh Dr
Published: April 2019

Mobile Phone manufacturers are continuously working to take move on with rapid pace on their new models and to match with the need of customer, they need to customize their system. However the security scenarios of such practice are not that known, due to this various malware and viruses are increasing day by day and causing harm to the devices. Due to the substantial damage caused by malware in last few years certain significant efforts on developing detection and defense mechanism against malwares. For detecting such malicious applications and malwares a security system should be developed which will target such anomaly or outliers in system. In data mining anomaly detection system plays a major role by monitoring the behavior of an application and categorizing them in to normal and abnormal to detect malwares present in the system.
A Study on Sensor Networks and its Research in Recent Application Developments
Authors: Immanuvel Arokia James K , Prabu R , Mary Judith A , Gladis Flower L
Published: April 2019

In recent days Wireless Sensor Networks and Internet of Things have become a growing and challenging research area. Those are used in various hard and sophisticated real time environments. A lot of challenges have to be faced by the researchers in these areas to meet the features like the quality level of sensed data, nodes autonomy, less energy utilization, battery storage, cluster range with cluster head selection and size of nodes…etc. In this paper, We did an extensive analysis on their recent developments in various application areas such as intelligent buildings, smart homes, Smart city developments, healthcare and smart hospital, transport and traffic management, Horticulture, water resources and quality monitoring, smart grid, space research…etc. This analysis will be helpful for the fresh researchers for doing research in WSN and IoT. The researchers have to look in identifying better solutions to the above said challenges must meet.
Design of Axial Flux Type Permanent Magnet Coupling with Halbach Magnet Array for Optimal Performance Considering Eddy Current Loss Reduction Using 3-D Finite Element Method
Authors: Hyeon Jang Gang , Won Seo Sung , Woo Kim Chang , Hun Shin Kyung , Nah Junghyo , Young Choi Jang
Published: April 2019

Background/Objectives: This study proposes and verifies a design method that considers the permanent magnet (PM) loss reduction of axial flux permanent magnet coupling (PMC), to replace mechanical coupling.Methods/Statistical analysis: In this study, the design of an axial magnetic flux PMC is performed using a three–dimensional (3D) commercial finite element (FEM) analysis program, and an optimum design is performed through parametric analysis. In addition, we designed a PMC that minimizes loss by analyzing the PM eddy current loss when using divided magnets.Findings: We found that some parameters (thickness of the PM, number of poles, ratio of inner radius to outer radius) act on the magnetic torque of the axial flux coupling. Using these results, we could obtain the design point. Further, to reduce the PM eddy current loss in the designed coupling, we used the PMs divided radially and circumferentially to obtain the magnet shape to minimize the loss. In addition, the fabricated coupling proved that the design results of the 3D FEM matched with the experimental results.Improvements/Applications: We propose an optimal design method of an axial flux PMC using 3D FEM, and a method to reduce eddy current loss using divided magnets
How to Generate Image Dataset based on 3D Model and Deep Learning Method
Authors: Cho Sooyoung , Geun Choi Sang , Kim Daeyeol , Lee Gyunghak , BongSohn Chae
Published: April 2019

Performances of computer vision tasks have been drastically improved after applying deep learning. Such object recognition, object segmentation, object tracking, and others have been approached to the super-human level. Most of the algorithms were trained by using supervised learning. In general, the performance of computer vision is improved by increasing the size of the data. The collected data was labeled and used as a data set of the YOLO algorithm. In this paper, we propose a data set generation method using Unity which is one of the 3D engines. The proposed method makes it easy to obtain the data necessary for learning. We classify 2D polymorphic objects and test them against various data using a deep learning model. In the classification using CNN and VGG-16, 90% accuracy was achieved. And we used Tiny-YOLO of YOLO algorithm for object recognition and we achieved 78% accuracy. Finally, we compared in terms of virtual and real environments it showed a result of 97 to 99 percent for each accuracy.
Face Recognition Model Using Back Propagation
Authors: Aswini Priyanka R , Ashwitha C , Arun Chakravarthi R , Prakash R
Published: April 2019

In scientific world, Face recognition becomes an important research topic. The face identification systemÂ is anÂ applicationÂ capable of verifyingÂ a human face from a live videos or digital images. One of the best methods is to compare the particularÂ facial attributes of a person with the images and its database. It is widely used inÂ biometricsÂ and security systems. Back in old days, face identification was a challenging concept. Because of the variations in viewpoint and facial expression, the deep learning neural network came into the technology stack itâ€™s been very easy to detect and recognize the faces. The efficiency has increased dramatically. In this paper, ORL database is about the ten images of forty people helps to evaluate our methodology. We use the concept of Back Propagation Neural Network (BPNN) in deep learning model is to recognize the faces and increase the efficiency of the model compared to previously existing face recognition models.Â Â Â
Mobile Navigation in Emergency Environment Using Wireless Sensor Networks
Authors: R.Rajasaranyakumari Ms. , R.Karthikeyan Mr , Bakyalakshmi M , Geethanjali R , Priyadharshini K
Published: April 2019

WSN's are used with the ultimate objective of condition checking and are a trademark choice of the system to enable emergency to course services. Even though The course routes picked by the present technique guarantee productive course and gives perfect most secure route by using the min-max rule close by the quantiﬁcation approaches ,however fails to identify the gathering .In the present structure we used an estimation called as SEND which does not revolve around the stop up at a particular zone however, in the proposed structure we use a computation called as CAN i.e blockage adaptable navigation, which bases on the congested locale by swarm recognizing and associates the person to move in an elective way where the hazard level is low and the A* figuring for briefest path. The proposed system moreover has the segment to show no less than two ways which improves the prosperity by empowering the customer to pick the most pleasing path .By coordinating customers following the dive edge of the hazard potential field , The CAN count can along these lines gain guaranteed ground of course and give perfect prosperity.
Activated Carbon Production from Waste Biomass
Authors: R Rajamani. , Kumar.B Vinoth , A Sujith . , E Karthick
Published: April 2019

Activated carbon is used as filter medium for the removal of hazardous particles in exhaust gases, in the purification of water and also in waste water treatment. Activated carbon is used in gas purification, water purification, sewage treatment and many other applications. This concept is used to satisfy the continuously increasing demand of activated carbon at low cost.The textile industry is one of the largest producers of dye effluent. Treatment of these effluents has to be cost effective hence a number of precursors have been studied as a viable alternative adsorbent. The present work relates to efforts made towards developing a high surface area activated carbon produced from the fruit shells of sterculia foetida by chemical activation process with phosphoric acid as the activating agent the fruit shell of sterculia foetida constitute a novel precursor for the preparation of activated carbon which has not yet been identified as a source for carbon material. Experiments were conducted in lab scale using muffle furnaces under static conditions in a self–generated atmosphere covering process parameters such as Impregnation Ratio (IR), Carbonization time and Temperature. The process parameters are characterized and optimized based on the Methylene Blue number, Methyl Violet Number and the Iodine number.The adsorption of reactive orange dye onto fruit shell of sterculia foetida activated carbon from aqueous solution was investigated. The process is carried out varying the process parameters as Impregnation Ratio (1:1 to 1:6), Activation Temperature (300 to 800 oC) and Activation Time (60 to 210 min).
Studies on Wear Behaviour of Aluminium 6061Alloy Reinforced with B4C & Mica Particulates Hybrid Metal Matrix Composite
Authors: K. Arumugam Dr , Sathiyamoorthy V , Jerome Kingston J , Akiraman K , V Senthilkumar , Suresh R
Published: April 2019

Hybrid Metal matrix composites are commonly used in Aerospace, Automobile industries because of its light weight, High tensile strength, high resistance to wear and improved specific strength. This is mainly due to improved mechanical and tribological properties like strength, stiffness, abrasion, impact resistance and wears resistance. In the present scenario, a lot of research activities were on automobile. This paper direct the researchers and engineer towards suitable selection of materials by its properties in the relevant area and various  techniques involved in fabrication of metal matrix composites, predominantly on the liquid state metal processing method. In this work Al6061, Boron carbide, mica and hybrid Aluminium metal matrix composites are fabricated using Stir casting Techniques with varying mass fraction of mica 3%, 4%, 5% incorporated into the alloy, Sustaining the mass fraction of boron carbide as  10% for all proportions. Mica and B4C ceramic particles were incorporated into Al 6061 alloy by stir-casting method. In Stir casting method of composite materials synthesis, a dispersed phase (ceramic particles, short ﬁbers) is mixed with a molten metal matrix by means of mechanical stirring. The samples were studied using scanning electron microscope (SEM) one of the most useful instrument for future research to know its microstructure. This study emphasize on the dry siding wear behaviour of aluminium reinforced with 3%,4%,5% mica and constant quantity of 10% boron carbide hybrid composite using a pin on disc. Wear performance of the hybrid composites were evaluated over a different load ranges and at different sliding velocities.
Fabrication of Hydro-Pneumatic Crane for Automobiles
Authors: P Nagasankar , P Tamilselvi , Kumar S Satheesh , D Someshwar
Published: April 2019

This work applies the fabrication of Hydro pneumatic crane (HPC) which can be used for removing and installing heavy objects such as engines and transmissions from vehicles. The intention of using this project work is to gain knowledge in the field of material handling equipment. This work has dealt with the fabrication of the portable jib crane. The main principle of this project is, the hand pump present in the normal hoist crane is replaced with hydraulic cylinder. The hydraulic piston is coupled with pneumatic pistons, and the hydraulic piston is connected to the boom. The pneumatic cylinder is pumped by air compressor. By calculating rated power of HPC and compared with the existing crane we will prove that the system will work under automated condition without compromising the efficiency of the system.
Design and Analysis of Battery Box Lifter
Authors: N Karthick , S Aravindh , N Gayathri , N Nagendran , K R Siddaarthan , A Thenamuthan
Published: April 2019

The main objective of this project is to design and analyze the portable hydraulic scissor truck instead of manual pallet truck for the purpose of dropping and lifting battery box in AC Coaches to bring it outside for checking suspension/cradle of battery box for availability of all suspension bolts, signs of any cracks, corrosion, rusting and taking corrective action, if necessary. If suitable hydraulic cylinder with more power is used, this scissor lift can also be designed for heavy load purposes. This equipment will be simple to use. Frequent maintenance is not required for this equipment. In this paper we carried out detailed analysis of scissor mechanism members against bending and buckling failure and also focused on various design aspects and working of scissor mechanism and helpful to lifting and dropping of battery box without any failure with this scissor truck  For existing practice the battery box dropping and lifting done  by  using  manual  pallet  truck.  It  shows  the  design  is  unsafe  handling,  injury  to  employee  and  feel uncomfortable. It is very tedious for human being to lift a vehicle above from the ground. Even when a hydraulic jack is implemented, it requires manual work. In this era, every man in the world wants comfort and hence to relieve the problems faced by lifting and placing the battery box.  Our project aims to reduce the manual work involved during the replacement of battery box instead of applying manual pallet truck. To validate our point and to reduce the above said difficulties faced, the design of hydraulic lift has been changed.
Experimental Study on Strength of Concrete Partially Replacing Chiton shell as Fine Aggregate
Authors: Madhan Kumar J , Kalaiselvan R , Raj Raghul
Published: April 2019

The most widely used material in the world is concrete, consequently there is a large requirement for raw material of concrete such as Fine Aggregate, Coarse Aggregate and cement. the huge extraction of the aggregate for manufacturing of concrete as serious effect on the environment due to depletion of natural resources and pollution. This affects the eco system to great extent. Hence the project deals with finding replacement for the existing raw material used in concrete by replacing the fine aggregate from river which is largely used in construction by chiton shell. Sea shell is the corpus of the marine organism. The sea shell has been grinded to 4.75mm and then replaced in the concrete. M20 mix was used and cubic specimen were casted for 5 different percentage of partial replacement as 0%, 5%, 10 %, 20%, and 25 %. All the specimens are tested for 7 & 28 days compressive, flexural and split tensile strength. it has been noted that the highest strength is obtained for 25% replacement of chiton shell. it was also observed that  addition of sea shell power in concrete reduced workability hence superplasticizer were added to improve the consistency.
CPW based Band Pass Filter Using DGS for ISM Band Applications
Authors: S. Jalaja Mrs. , V. Prithivirajan Dr , Gajalakshimi K , Chitra S , Nithya R
Published: April 2019

The design and simulation of coplanar waveguide (CPW) bandpass filter (BPF) has been described in this paper. It mainly focuses on Defected Ground Structure (DGS), where U-shaped DGS with open stub in transmission line has been introduced. By etching the DGS pattern in ground and transmission will change the distribution of inductance and capacitance to produce filtering effect. This paper also discusses about the influence of geometrical parameter l for the improvement in the frequency response of bandpass filter. As increasing the dimension of the geometric parameter l shift the center frequency to the higher frequencies. This filter offers a bandwidth of 1.65 GHz with passband ranging from 2.1 GHz to 3.75 GHz with a stopband rejection is about -28 dB.
Strength Assessment of Polypropylene Fibre Reinforced Concrete (PPFRC)
Authors: Govindasami S , Sakthivel P , Harish R
Published: April 2019

In this study, the strength performance of concrete with polypropylene (PP) fibre is studied.Â  For this purpose, polypropylene (PP) fibre is added in varying volume fraction (Vf) of 0%, 0.5%, 1%, 1.5% and 2% of M25 grade concrete. The concrete was cast with Ordinary Portland Cement, M-Sand and blue metal, with and without fibres. There is a decrease in workability of concrete when the PP fibre Vf is increased from 0.5% to 2.0%. The compressive, flexural and split tensile strength of concrete have shown an improvement of 7.67%, 26.57% at Vf=1% and 33.61% and Vf=1.5% over conventional concrete. The optimum percentage of polypropylene is found to be 1% beyond which there is a reduction in strength.Â
Blindness and Social Media in India
Authors: Thankam Varghese Soumya , Maya Rathnasabapathy Dr
Published: April 2019

In the present world, social networking sites offer a great platform to communicate, collaborate and socialize â€“ personally and professionally with the world around us. According to WHO report, blind people are a significant group comprising 45 million totally blind and 285 million partially blind. This paper reviewing studies on the non (use) of social media by blind people in and out India. It examines the impediments, achievements and expectations of blind people with regard to social network sites based on past research work.Â
Prospects of Using Poultry by-Products in the Technology of Chopped Semi-Finished Products
Authors: Zhumanova Gulnar , Rebezov Maksim , Assenova Bakhytkul , Okuskhan Eleonora
Published: April 2019

In this paper the technology of preparation the protein-fat emulsion and its effect to sensory, physicochemical and microbial characteristics of meat cutlets are presented. The protein-fat emulsion consists of 75% of the chicken crests, 15% of the vegetable oil and 10% water. The protein, fat and ash content of emulsion are 9.53%, 6.38% and 0.95%, respectively. The amino acid composition of the protein-fat emulsion includes a complete set of essential amino acids - 36.2%. Adding of protein-fat emulsion as an ingredient in meat cutlets increase the total protein content, improves the sensory parameters and consistency of meat cutlets.Â Â
Study of Illumination Optical System to Control Light Pollution due to Night Lighting
Authors: Sun Yoo Kyung , Young Lee Soo , Hoon Hyun Dong , Jo Jung Byoung
Published: April 2019

Background/Objectives: Artificial light has developed with both sides of light pollution. International organizations recognize the seriousness of light pollution and are offering ways to make restrictions light pollution.Methods/Statistical analysis: It padded an additional surface on the back of the lens to convert the light to the House side into a street side. The slope of the additional surface was determined by the angle of the light that emerged from the LED.As a result, it implemented B1 rating of security light on BUG Rating defined by IESNA.Findings: The total internal reflection of the lens was used to control the posterior light. The inner surface was set to totally reflect the light directed toward the house side inside the lens, and the inclination of the outer surface was set so that the light refracted from the outer surface and directed forward when the light exits. As a result of controlling the backlight in this way, the B1 light distribution classified by the BUG rating was implemented. It also made the ratio of light from Street side to House side about 8:2.Improvements/Applications: When applying the expression proposed in this paper to the streetlight optical system, it can complement the light pollution problem.Â Â
â€œHumanities to Humanoidsâ€: Edutainment of Artificial Intelligence through Ict
Authors: Suseebharathi T , I. Ajit Dr
Published: April 2019

Era of technology has bestowed with plethora of developments and evolution in the routine human life. One field in which such changes could be experienced much is the genre of films. In the recent past, there are myriads of films released with the concept of AI (Artificial Intelligence). The globe of AI, is often an interesting topic for the engineering graduates but it is not focused by the students pursuing graduation in Humanities. The objective of this research critique is to bring out how AI could be introduced in humanities classrooms using films. Attempt is made to justify the objective using a few films as examples.Â
Image Processing Algorithm for Calculating Uniformity of Carbon Surface Image Heating Element
Authors: Soo Hwang Hyung , Ho Cho Joon
Published: April 2019

Background/Objectives: In this paper, numerical calculation method using image processing technology for percentage and uniformity of carbon fibers of planar heating element was proposed.Methods/Statistical analysis: The manufacturing method of the planar heating element is made by chopping the carbon fiber in small size and bonding it again via the dispersing agent. Filter the carbon fiber solution bound using a dispersant on the next nonwoven fabric. The last step is to obtain planar carbon fibers in the form of nonwoven fabrics for drying the filtered carbon fibers.Findings: n the planar heating element, electricity may be applied to the carbon fiber on the surface produced in this manner. Calculation of the ratio and uniformity of the planar heating element in this paper addressed four sample images (0.2 wt.%, 0.4 wt.%, 0.8 wt.%, 2.4 wt.%). In this method, the image of the planar heating element was divided into 5 Ã— 5, converted into a binary image, and then the ratio and uniformity were numerically calculated.Improvements/Applications: The image analysis of the planar heating element proposed in this paper can be interpreted more accurately by combining it with the conventional method.Â Â
Analysis of Spam Transaction on the Blockchain
Authors: Kyung Kim Tae , . . , . .
Published: April 2019

Background/Objectives: The blockchain has been applied to many fields. Users are concerned about its security. The primary goal of this study is supporting the security service to protect DDoS attack.Methods/Statistical analysis: To provide security service in the blockchain, the security model is suggested. This model can filter out illegitimate traffic and exchange information with other security switches to determine whether a connected node is a normal node or an abnormal node. Each procedure of the proposed model has been described. Also, two different attack types are used to show the operation process of suggested model.Findings: Cyberattacks attempting to impact technology services availability continue to increase. Thus, DDoS is one of the most common type of attacks can also cause the most disruption to internet services. But blockchain has the characteristics of decentralization and peer to peer. This makes it harder to disrupt than conventional distributed application. Nevertheless, DDoS attacks remain a persistent threat. Therefore, a security model is suggested which can effectively block and respond to DDoS attacks.Improvements/Applications: The suggested model makes it possible to protect the spam transaction attacks in blockchain network.Â Â
LPG Representation of the Reification of RDF
Authors: Zaho Zhanfang , Kook Han Sung , Ri Kim Ju
Published: April 2019

Background/Objectives: It is still a challenging issue to represent the reification effectively since the reification representation of RDF standard has been revealed some drawbacks.Methods/Statistical analysis: Currently, there are two main graph data models: RDF and LPG. LPG is a popular graph data model that is usually applied to NoSQL graph databases.This paper derives three types of the reification structures in terms of the structural and semantic relationships of the reification statements. The detailed representation of each type of the reification is presented with the extended LPG model.Findings: This paper proposes a novel approach to represent the reification structure of RDF from the perspective of LPG. The paper explores the formal, conceptual properties of the conventional LPG models and proposes their extension to capture more complex knowledge structures efficiently. These augmentations of LPG can achieve more efficient and flexible resource modeling. This paper derives three types of the reification structures in terms of the structural and semantic relationships of the reification statements: assertion, quantification, and entailment.The proposed approach not only preserves the structure and semantics of the reification but also enables LPG modeling of the complex structural statements to be easy and intuitive.This can contribute to transfer RDF graphs into LPGs.Improvements/Applications: The implementation of the extended LPG and the query processing of the reification remain future work.Â
Properties of Lightweight Matrix Using Industrial by-Products according to Mixing Ratio of NaOH and KOH
Authors: Hyun Shin Jin , Gyu Won , Soo Lee Sang
Published: April 2019

Background/Objectives:When producing 1 ton of cement, it produces 0.9 tons of carbon dioxide, so it is very important to reduce the use of cement or to find an alternative material.Methods/Statistical analysis: In order to replace cement which is frequently used to make lightweight cured products, blends of blast furnace slag, polysilicon and paper ash were used as binders. In order to stimulate the hardening of blast furnace slag, comparative analysis of characteristics of alkali stimulants was carried out by using KOH and NaOH as alkali stimulants.Findings: In order to improve the foaming performance for the production of lightweight Matrix, we used polysilicon and paper ash as well as blast furnace slag as one of industrial by - product a binder. KOH and NaOH were used as alkali stimulants. The experimental results are as follows.When alkali stimulants are used, the density decreases and the absorption rate increases. It is considered that the use of an alkali stimulant causes air bubbles to occur, resulting in a lower density and an increased absorption rate. The use of NaOH rather than KOH seems to result in better bubble generation. Strength was significantly decreased when alkali stimulants were used, but it was confirmed that the strength of NaOH was increased than that of KOH.Improvements/Applications: As a result of this study, we will fabricate a lightweight matrix that can be used as a prototype by using NaOH according to KS F 2701 standards.Â
Implementation of Portable Foot and Mouth Disease Inference System Using a Smartphone
Authors: Deok Kweon Ki , Rack Park Koo , Young Jung Jin , Jin Cho Han
Published: April 2019

Background/Objectives: Damage has been caused by foot and mouth disease worldwide. The vaccine is used for prevention, but it is difficult because of the variant virus and lack of vaccine. In this paper, we have implemented a system to prevent the expand of foot - and mouth disease in the early onset stage.Methods/Statistical analysis: In order to solve the disadvantages of the fixed-type thermal imaging camera, a smartphone is used to check the temperature of the livestock hoof using an external thermal imaging camera and notify the farmer when the temperature exceeds 34.4 degrees.Findings: The sample livestock was selected as cows and pigs belonging to two-split hooves, and the livestock was deduced from the normal livestock and foot-and-mouth disease, and the result message was sent to the farm owner and the nearby farmer. It is difficult and the accuracy lacks to figure out with a fixed-type thermal imaging camera in a group-raised environment by shooting the hooves and check the temperature and determine which livestock is suspected of foot-and-mouth disease.Improvements: Smartphone-based shooting can be instantly confirmed by the farmer in any environment, and the captured results are collected as Big Data and provided by FCM push alarm function of Android so that it can be recognized on other farms.Â Â
Vague Separation
Authors: Ramya Swetha R , Anitha T , Amarendra Babu V
Published: April 2019

In this paper we are introducingÂ  VT1 space, vague haussdorff space (VT2) and then we derive every vague subspace ofÂ  VT1 space is VT1 and also for VT2. And also we derive the Cartesian product of two vague closed sets is also vague closed set in the vague product topological space X x Y .Finally we define Vague limit point, Vague isolated point, Vague adherent point, Vague perfect, Vague derived set, vague exterior and also derive some theorems on this .
Decision Making Problem for Medical Diagnosis Using Hexagonal Fuzzy Number Matrix
Authors: Sandhiy S , Selvakumari K
Published: April 2019

Fuzzy set theory plays a vital role in medical fields. There are varieties of models involving fuzzy matrices to deal with different complicated aspects of medical diagnosis. Fuzzy set theory is highly suitable and applicable for developing knowledge based system in medicine for the tasks of medical findings. The field of medicine and decision making are the most fruitful andinteresting area of applications of fuzzy set theory. In this paper, we have applied the notion of Hexagonal fuzzy membership matrix in a medical diagnostic model. The advantage of this model is, if the patient-matrices are known, then it is possible to find which patient is suffering from what kind of disease. Most probably the fuzzy decision model in which overall ranking or ordering of different fuzzy sets are determined by using comparison matrix.Â Â Â
Depth Impurity Pruned Strategies for Extracting High Utility Itemsets
Authors: Santhi K , Valarmathi B , Chellatamilan T
Published: April 2019

Normally in a transaction database mining high utility itemsets indicates to the location of itemsets which is causing high utility like benefits. In spite of the fact that various important calculations have been proposed as of late, they bring about the issue of generating a huge amount of itemsets for mining to discover HUI. Mining is reduced by such an extended quantity as far as execution time and space complexity. When the database contains large amount of transactions, this condition may turn into mediocre. In this research paper, we account this concern by offering a state-of-the-art calculation named Depth Impurity Quality Index Pruned strategies which considers the complexity of sub-trees to more efficiently identify high-utility itemsets. It is an collection of common itemset which are used for mining and is significantly harder, inflexible. This is imputable to the absence of intrinsic organizational behaviour of  HUI which could have worked. This paper suggests a high utility mining technique which make use of novel pruning approaches.The experimental outcomes disclose that the proposed method is exceptionally viable in killing unhopeful applicants  in the   database transactions.
Online Healthcare Monitor System Based on Optical Wireless and FBG Sensors
Authors: A. Murdas Ibrahim , N. Jabbar Ahmed
Published: April 2019

In this work, a practical wireless optical communication system has been proposed for the purpose of monitoring the health condition of patients who are in hospital operating on the basis of the wireless communication system and fiber sensors. The suggest practical system employ a diffuse optical broadband link technique  based on laser Li-Fi the technology, Fiber Bragg grating (FBG) sensors was investigated.  The focused on optical fiber sensors (pressure and temperature) for medical applications because it’s small size, immunity to electromagnetic interferences and their suitability for remote monitoring. Fiber Bragg grating (FBG) based (blood pressure, temperature) sensors is designed and implemented using a conventional laser source, Optisystem version 15. The collected data from sensors is transmitted to main unit, the suggested system tested under different operating conditions such as , optical link distance, laser power and transmitter angles, all operating conditions was successively demonstrated.
Application of Monte Carlo Search for Performance Improvement of Web Page Prediction
Authors: Shyamala K , Kalaivani S
Published: April 2019

Prediction in web mining is one of the most complex tasks which will reduce web user latency. The main objective of this research work is to reduce web user latency by predicting and prefetching the users future request page. Web user activities were analyzed and monitored from the web server log file. The present work consists of two phases. In the first phase a directed graph is constructed for web user navigation with the reduction of repeated path. In the second phase, Monte Carlo search is applied on the constructed graph to predict the future request and prefetch the page. This work is successfully implemented and the prediction technique gives a better accuracy. This implementation paves a new way to prefetch the predicted pages at user end to reduce the user latency. Proposed Monte Carlo Prediction (MCP) Algorithm is compared with the existing algorithm Hidden Markov model. Proposed algorithm achieved better accuracy than the Hidden Markov Model. Accuracy is measured for the predicted web pages and achieved the optimal results.
Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling
Authors: Vora Deepali , Iyer Kamatchi
Published: April 2019

Predictive modelling is a statistical technique to predict future behaviour. Machine learning is one of the most popular methods for predicting the future behaviour. From the plethora of algorithms available it is always interesting to find out which algorithm or technique is most suitable for data under consideration. Educational Data Mining is the area of research where predictive modelling is most useful. Predicting the grades of the undergraduate students accurately can help students as well as educators in many ways. Early prediction can help motivating students in better ways to select their future endeavour. This paper presents the results of various machine learning algorithms applied to the data collected from undergraduate studies. It evaluates the effectiveness of various machine learning algorithms when applied to data collected from undergraduate studies. Two major challenges are addressed as: choosing the right features and choosing the right algorithm for prediction.
Computational Analysis on Flexural Behavior of Precast Aerated Concrete Panel Incorporating Polypropylene Fiber
Authors: Mohamad Noridah , Tahir Lakhiar Muhammad , Syafiq Mansor Mohamad , Heng Boon Koh , Jhatial Ashfaque Ahmed , Aziz Abdul Samad Abdul , Wan Inn Goh
Published: April 2019

Precast system has great advantages in terms of its speed of construction, strength and durability. In this research, Precast Lightweight Aerated Concrete Panel, PACP, incorporating polypropylene fibers were utilized and tested to analyze its structural behavior under flexural load. Finite element analysis (FEA) using LUSAS software was utilized to simulate the PACP models under flexure load adopting nonlinear and transient analysis. The dimension of PACP panel was 200mm thickness, 500mm breadth, 1400 mm length. The FEA results were com-pared to theoretical results in terms of the panel’s ultimate load. Different thicknesses and reinforcement diameters were utilized in the FEM simulations to determine the optimum values for both parameters which confirm the stability of the panel. The outcomes demonstrated that 300 mm thickness is the optimum thickness while 12 mm diameter was the optimum size of reinforcement in the PACP panel.