bluuebunny/crossref_metadata_2025 huggingface dataset:
Cross-Monotonic in Cost Sharing Mechanisms Using Ns2
Authors: Ganesan R , Joseph Justin , Isaac Jisha
Published: April 2019

A cost-sharing plan is an arrangement of guidelines characterizing how to distribute the cost among adjusted clients. A cost-sharing strategy is check monotonic in case it satisfies the property that everyone is in a flawless circumstance when the course of action of individuals who get the affiliation creates. CM is a property that passes on a customer's part ought to be more humble when balanced in a more imperative set. CM is an key techniques to achieve the group strategy proofness. By using the multicast plans that objective the enhanced directing, cross-monotonic cost sharing, and stabilize budget. Unsurprising degree cost recuperations is conceivable, and also apply a primal-twofold diagram to in the meantime create an organizing strategy and a cost-sharing course of action, and demonstrate that the subsequent instrument is collect framework proof and ensures off base cost recuperation against a flawless coordinating game plan.
A Survey on Security and Privacy Issues in Cloud Computing
Authors: Thilagam T , Arthi K , Amuthadevi C
Published: April 2019

Cloud computing is broadly utilized rising innovation for putting away and sharing information over web yet at the same time confronting loads of security and protection issues. These difficulties incorporate client's mystery information misfortune, information spillage and uncovering of the individual information security. Considering the security and protection inside the cloud there are different dangers to the client's delicate information on distributed storage. This paper is review on the security and protection issues and accessible arrangements. Additionally present diverse open doors in security and protection in cloud condition. Furthermore, cloud specialist co-ops (CSPs) can likewise deliver the talked about issues to offer better security and protection.
Load Forecasting Analysis by Time Series Method
Authors: S Kuldeep , G S Anitha
Published: April 2019

Load forecasting is a very important factor for designing power systems. A good knowledge of load pattern and behavior is very important for proper coordination, design and economic operation. Though a lot of research has been done on load forecasting, there are many tools and methods still being developed to accurately predict load behavior. This paper does an analysis of sample load data and predicts the next instant load using feedforward time series neural network model
Resource provisioning methodology for cloud environment with producer and consumer favorable: an approach of virtual cloud compiler
Authors: Vivek V , Srinivasan R , Elijah Blessing R
Published: April 2019

Cloud computing is a model where traditional resources such as CPU cycles, storage, security etc. are delivered through web based. It is a technology which has ability to change large part of software development cycle, 3D rendering or any other computationally expensive tasks execution. Much amount of time is wasted on compiling and rendering such computationally expensive tasks due to low power machines, which directly proportional to efficiency of user who is working on that project. Extreme computational tasks such as weather forecast, DNA analyses, encryption breaking takes so much time in consumer grade computing devices that they are realistically not possible to perform. We have proposed a novel approach to perform payload distribution, for the users who wanted to run their computationally expensive tasks efficiently. We have used virtualization technique on data center resources to perform scheduling. Up to 32% cost has been reduced in an environment of 30 users when our technology used instead of traditional standalone desktop environment. This is achieved by replacing 30 standalone computers with a powerful server and thin clients like Raspberry pi as clients. Time wasted in computational task such as rendering and compiling is greatly reduced. We have not only improved the efficiency, but also make sure both cloud producer and consumer are favorable. With simulations and outcomes, we validate that our methodology for payload distribution performs well.
A study on load balancing techniques in SDN
Authors: Ghosh Anish , T. Manoranjitham Mrs.
Published: April 2019

Software defined networking(SDN) is a technique in networking which provides the administrators of the network with access to initialize, control, manage, and dynamically change how the network behaves through open interfaces and by the lower-level functioning abstraction. SDN simply addresses the basic knowledge that the architecture being static in traditional networks never provides assistance for the dynamic or scalable computing along along with the storage requirements of most of the modern computing. This is possible by the methods of decoupling or disassociation of the system that helps in making decisions about where the traffic is being delivered from the systems which then forwards this traffic to the required destination. Load balancing is the method in a computer network that is used to divide the amount of work between a collaboration of two or more computers in such a way that work can be completed in the same time limit. Hardware, software, or a combination of both can be used to implement load balancing. Moreover, computer server clustering is caused due to load balancing.This paper discusses the various kinds of load balancing algorithms which can help in better utilisation of resources and linear service delivery across multiple clients in an SDN environment.
Bearing Capacity of Floating Foundations Used PVC (Poly Vinyl Chloride) on Soft Soil With The Scale Model in the Field
Authors: Srihandayani Susy , Putri Desi , Kurniasih Nuning , Dwi Putri Lusi
Published: April 2019

A soft clay soil has a low support energy, so it needs to be planned a foundation form that able to improve soil bearing capacity and estimate a maximum load that can be supported by that soil. Planning a float foundation is one of the solutions to overcome that problem. The behavior of burden degradation at float foundation which obtained from encumbering of axial introduced here. Proposed analysis based on classical theory and examination of foundation at the field. Float foundation models with different amount and dimension. At the field, a pipe which one of its ends closed tightly came into soft clay soil and then encumbered step by step. Giving an axial burden and degradation model area and noted. Boundary capacities in each foundation model estimated from the curve of load-displacement yielded of the test. From the result of theoretical analysis at a single float foundation got a proportionate result with the field result but after giving additional pile/pipe with larger one's cap got the theoretical result of bearing capacity bigger than the field result. The efficiency value of the comparison of bearing capacities theoretically that using five classic methods got more than 100%, and after giving additional pipe, the efficiency value near to 100%.
Increase the PSNR Of Image Using LZW and AES Algorithm With MLSB on Steganography
Authors: Fitra Wijayanto Erick , Zarlis Muhammad , Situmorang Zakarias
Published: April 2019

There are many research has done a hybridization approach of text message insertion that has been compressed with Lempel-Ziv-Welch (LZW) algorithm and has also been encrypted. The text messages in ciphertext form are inserted into the image file using LSB (Least Significant Bit) method. The results of this study indicate that the value of Peak Signal to Noise Ratio (PSNR) lower than the LSB method of 0.94 times with a ratio of 20.33%, with Kekre's method of 10.04%. To improve the value of PSNR stego image of insertion, in this research is inserted audio samples using 5 bits to reduce the amount of data insertion, so it can get the value of MSE stego image low. Prior to insertion, the text file is compressed with the Lempel-Ziv-Welch (LZW) algorithm and encrypted with the Advanced Encryption Standard (AES) algorithm. Then, the insertion of compression and encrypted text files is done with the Modified Least Significant Bit (MLSB) algorithm. To performa test reliability of steganography, the image stego image is done by calculating Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR). At extraction process with MLSB algorithm, decryption with AES algorithm and decompression with LZW algorithm. The experimental results show that the MSE values obtained are lower and the proposed PSNR method is better with (α) 1,044 times than the Kaur method, et al. The result of embed text file extraction from the stego image works well resulting in encrypted and uncompressed text files.
A Stacked Planar Antenna with Switchable Small Grid Pixel Structure for Directive High Beam Steering Broadside Radiation
Authors: Subramaniam Devakumaran , Jusoh Muzammil , Sabapathy Thennarasan , Nasrun Osman Mohamed , Ramlee Kamarudin Muhammad , Tarmizi Ali Mohd , Najib Mohd Yasin Mohd , Ali Azuwa , A. Majid H , Rahim Robbi
Published: April 2019

A radiation pattern of a reconfigurable pixel structure antenna that operates in three steerable beam directions of {-40º, 0º, 40º} is presented. The proposed antenna consists of a circular driven structure on the bottom layer with a pixel structure placed in the top layer. The pixel structures of small square-shaped metallic patches are used to provide beam steering reconfiguration capabilities to the antenna. The adjacent pixels are connected by PIN diode switches with ON/OFF status to change the electrical geometry of the pixel surface, which changes the current distribution on the antenna, thus provides reconfigurability in beam steering direction. The proposed antenna operates at 9.5GHz frequency for X-Band radar application. This antenna is capable to achieve a tolerable return loss of less than -10dB with an average gain of 8 dBi at all desired angles.
SodhanaRef: a reference management software built using hybrid semantic measure
Authors: Kiran Mandava Kranthi , Reddy K Thammi
Published: April 2019

Reference management softwares are widely used by the researchers to maintain their collection of scholarly literature that exist in PDF format. Though widely used most of the reference management softwares have no sophisticated Information retrieval except few which offer advanced search that includes search for title, author etc., These softwares in the present day market do not give importance to the semantic similarity or relatedness concept, query expansion and finding the context within the query to find the concept behind the user mentioned query.With SodhanaRef, a solution is offered to deal with the above-mentioned issues by building reference management software using a mix up of corpus-based and knowledge-based semantic measures. Based on the evolution done on about 200 various scholarly literatures in the PDF form, SodhanaRef shows a good performance over Mendeley when compared between these two reference management softwares for title search. The other evaluations for finding the semantic similarity between the user mentioned query and the existing titles in the title search and for identifying the concept behind the query along with identifying the concept of a research publication have shown good results with an average precision between 0.8 to 1 for each query.
Similarity analysis of court judgments using clustering of case citation data: a study
Authors: Kachappilly Disna Davis , Sunil Wagh Rupali
Published: April 2019

Information retrieval (IR) is an automatic mechanism to extract required information from a collection of unstructured or semi-structured data. IR systems minimize the effort of a user to locate the information based on the requirements. Clustering of documents is carried out as a preprocessing step for filtering irrelevant information in an IR system. Legal domain is a producer as well as consumer of huge in-formation which also contains invaluable legal knowledge and its interpretation. Knowledge based legal information retrieval systems is need of the day. Citation analysis is a technique to find the hidden relationships between the documents and is used for understanding knowledge transfer across various domains and hence becomes very important in legal domain. In this study, similarities among documents are analyzed using data clustering when applied on data of citations in court judgments.
Performance comparison and evaluation of vari-ous segmentation methods
Authors: Venkatesh Vikashini , P U Praveen
Published: April 2019

Image segmentation is the most important method in the concept of image processing. It helps in analyzing the image accurately in many applications. It is generally used to assign or name, a label to individual pixels in an image, so that labels with similar name share common features. These related pixels result in same color, texture, or intensity. It also helps in identifying lines, curves and objects. These kinds of results help in different applications in the field of medical imaging, 3D constructions, etc. There are different kinds of segmentation methods already available for such applications. This paper briefs and compares three different types of segmentation methods like multithreshold method, watershed method and normalized cut method. It is compared based on computational time, complexity and number of clusters of the different methods used in the image.
Effect of Age on Employees’ Loyalty: a Study Among the Executives’ of a Large Scale Public Sector Manufacturing Industry Across India
Authors: . Geevarghese , J.T Nirmalraj R , Seeram Hemalatha , Veena S , James Beena
Published: April 2019

The nature of human resources and their willingness to contribute have an impact on the existence and growth of the organization. Employee loyalty may be defined as employees being committed to the success and growth of the organization and believing that working for this organization is their obligation and best option available to them. The growth and success of organizations in the present scenario, largely depends upon the commitment and loyalty of its workforce. As employees work for the organizations for certain period of time, they develop affinity and emotional attachment to the organization. As they grow older their maturity level will increase and stop job hopping. Further, as the age of the employee increases, they will try to settle down in one place and the probability of their intention to stay with the organization also will increase which in turn will influence their loyalty to the organization.  Therefore, age of an employee is generally considered as a factor influencing loyalty to the organization.The purpose of this paper is to investigate the effect of age of employee on employees’ loyalty in a Bangalore based large scale public sector undertaking. 200 middle level executives who have completed minimum of one year service were surveyed and random sampling technique was adopted. Survey was conducted with a standardized, valid and reliable instrument measuring loyalty. The detailed findings and implications are discussed in the full paper.
Comparative Study of Total Harmonic Distortion in Multilevel Inverters Based WECS
Authors: Kandavel B , Uvaraj G , Manikandan M
Published: April 2019

This paper presents comparative study of Total Harmonic Distortion (THD) and its individual harmonic contents without grid and with grid for Diode clamped multi level inverter (DCMLI) and Flying capacitor clamped multilevel inverter (FCMLI) based Doubly Fed Induction Generator (DFIG) employing PI and Fuzzy logic controller (FLC). Simple method to control for a variable speed wind energy conversion system with a DFIG is connected to the grid through a diode rectifier and a diode clamped multilevel inverter (DCMLI). The DC-link voltage is controlled through a DC-DC boost converter to keep the DC voltage at constant value. Inverter is controlled by sinusoidal pulse width modulation technique, which supplies power to the grid. The THD and its harmonic content are studied for different wind speeds. DFIG fed flying capacitor multi level inverter (FCMLI) based WECS connected to load as well as grid. FCMLI is controlled through sinusoidal pulse width modulation. Voltage and current harmonics are studied. The results of both multilevel inverters are compared. It shows that the level of harmonic content of two types of multilevel inverters working at different wind speeds indicates that Total Harmonic Distortion (THD) for DCMLI has given best results.
Optimization of Machining Characteristics of Hybrid Composites Using Grey Relational Technique
Authors: G Ramanan. , Rajan.R.R Neela , Aultrin.K.S Jai , P Pradeep.
Published: April 2019

Metal matrix composite imparts several advantages over alloys. The MMCs exhibit improved properties compared with monolithic alloy. They are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. Aluminium composite materials are engineered materials made from at least two or more constituent materials having different physical or chemical properties. In this work Seventeen turning experiments were conducted using response surface methodology. The machining parameters cutting speed, feed rate, and depth of cut are varied with respect to different machining conditions for each run. The optimal parameters were predicted by grey relational analysis technique. The optimum process parameter predicted from RSM techniques is cutting speed 250m/min, feed rate 0.06mm and depth of cut 1.5mm are found.
Study of Application of Software Defined Network to Real Networks
Authors: Manoranjitham T , Sai Vijaya Kumar K , Varshith B
Published: April 2019

This paper presents the application of Software Defined Network to Real Networks. Software Defined Networking is an intriguing concept in the networking and communication industry which provides various uses, from productive network operations to reduced costs in the networking field. The SDN architecture provides the network administrators to implement new network services and easy management of the network .This operation is done by separating the data plane and control plane that makes decision .The data plane forwards packet and control plane manages traffic.  In this paper we are studying the application of SDN to Real Networks such as SDN for Internet of Things, Artificial Intelligence, 5G Networks, Wireless Networks.
Examining Heuristics for the K-Centers Problem
Authors: S. Shetty Vikas , Mukherjee Arka , Senthilkumar K
Published: April 2019

In this paper, we discuss and analyze the heuristics existing to solve the K-Center problem. The K-Center problem is used in various practical scenarios such as facility location, load-balancing, ATM mapping, Cloud Server Selection, or even data clustering and image classification. Specifically, we examine a standard Greedy algorithm with an approximation factor of 2, the clustering algorithm introduced by Gonzales in 1985, and the Dominating Set Algorithm(commonly referred to as the elimination heuristic) devised by Jurij Mihelič and Borut Robič. We also propose a new heuristic to solve the specified problem using Tree-Independent Dual-Trees devised by Ryan R. Curtin.
Software Change Management: a Quantified Perspective
Authors: Dhamija Ankit , Sikka Sunil
Published: April 2019

A systematic Change Impact Analysis (CIA) is being used for better change management of software. Also, CIA process is evolved continuously to make it more effective. Software metrics play an important role to evaluate CIA process. Two types of metrics are used to evaluate CIA. First types of metrics are the standard metrics used to evaluate the performance of CIA techniques for example Precision, Recall, F-measure etc. These are most commonly used by researchers. Second types of metrics are those which are used to quantify the change impact which is based on the code/design features. This paper is aimed at identification of these second types of metrics available in literature.
Sign Language Interpreter
Authors: Dogra Astha , Malik Ketan , Chowdary Vinay
Published: April 2019

The world’s population now stands at 7.6 billion. Out of these, millions of people are not blessed with the ability to hear or/and speak. Although speech becomes a barrier between these people and other abled persons but, there are three types of sign languages which help to decrease this gap. There are about 250 types of sign language interpreters which translate their language for other people. This paper describes a similar type of device aimed to facilitate a bridge between the two groups of population. It develops a wearable device having motion detecting sensors to sense the orientation and direction of fingers in order to recognize the gesture made by the user. Also, it transmits the gesture to a wireless display unit through a Bluetooth module which displays the corresponding word to the gesture made on an LCD. Thus, in this way, sign-to-text conversion is carried out. The heart of the device is Atmega328 with flash memory of 32k bytes enabling us to store a wide range of words. The designed system was capable to recognize the pre-stored gestures according to ASL (American Sign Language). Prototype was designed for one hand and it was tested on a few gestures.
Efficient Detection and Classification of Diabetic Foot Ulcer Tissue using PSO Technique
Authors: K S Babu , Sabut Sukanta , D K Nithya
Published: April 2019

Assessment of a diabetic wound is very much important to determine the healing status. Foot ulcer is most commonly observed problem of diabetic patients. A diabetic wound is observed for approximately 15 per cent of diabetic patients. Diabetic wound is a major concern of diabetes mellitus. The foot ulcer is the very much harm full problem related to diabetes mellitus. Here particle swarm optimization (PSO) based optimization technique is used for segmentation of diabetic wounds and classifying into three types of tissues i.e. granulation, necrotic and slough. After the segmentation the different textural features are extracted through Gray Level Co-occurrence Matrix (GLCM). All these features were then fed to two different classifiers, Naive bayes and Hoeffding tree for classifying the tissue types. The experimental results showed that the classification accuracy, sensitivity, specificity are 90.90%, 100%, 87.5% by Naive bayes, and 81.81%, 100%, 77.7% by Hoeffding tree respectively. Hence the PSO optimization techniques along with Naive bayes classifier could be used for the effective segmentation of diabetic wound images.
Simultaneous Allocation Renewable DGs and Capacitor for Typical Indian Rural Distribution Network using Cuckoo Search Algorithm
Authors: P Balamurugan , Yuvaraj T , P Muthukannan
Published: April 2019

Nowadays, simultaneous allocation of renewable distributed generations (REDGs) along with shunt capacitors (SCs) in RDS distribution networks is getting more attention by the researchers. Since it mitigates the system losses, enhance the bus voltages, power factor improvement, power quality enhancement and reduces the environmental threats. In the proposed work an advanced approach is implemented for simultaneous allocation REDGs and SC for Indian 28- rural bus network. For decrease the losses and maximize the system stability  is the  main objective of thispaper. The locations and sizing of theses REDGs and SCs have been determined with help of cuckoo search algorithm (CSA).
An LMI Approach with Pole Placement Objective for the Design of Robust SSSC Controller for Damping Inter-Area Mode Oscillation Considering Global Signal
Authors: J Shah Bhavin , N Pillai G , Agarwal Pramod
Published: April 2019

This paper presents robust Static Synchronous Series Capacitor (SSSC) controller design using LMI approach with pole placement objective. The controller is designed for damping of inter-area mode oscillations in two area four machine test system considering a global signal. The control signals are obtained from wide area measurements (WAMs) system. Residue analysis is performed to decide best input signal to the controller. The mixed sensitivity approach in Linear Matrix Inequality (LMI) formulation is used to design thedamping controller. The uncertainty in load model composition results in the inaccurate estimation of the designed controller capability. So, different load model compositions including static and dynamic loads are considered here. Various contingency conditions are applied for testing the designed controller. The designed controller provides sufficient damping for such contingent conditions.
Modeling and Analysis of Kaplan Turbine Blade Using CFD
Authors: Rama Chandra Manohar K , Upendar Somagani , Durgesh V , Sandeep B , Rahim mallik Ksk , Narendra Santosh Kumar Gurram , Hasane Ahammad Sk.
Published: April 2019

Fluid assumes a basic part in huge numbers of the items that we experience each day from clear applications, for example, water treatment frameworks and auto and flying machine streamlined features to limit pushing. CFD investigation which empowers item outline and examination in a virtual domain has revolutionized liquid progression via robotizing the arrangement, notwithstanding for issues that are numerically substantial. By recognizing physical powers and stream attributes that are in some cases difficult to gauge or pick up knowledge into, CFD arrangements can help an organization drastically enhance time to showcase. Kaplan Turbine is Reaction, Axial and Adjustable Flow Turbine. In this Project displaying of Kaplan Turbine Will be finished by expecting shaft diam-eter, sprinter breadth and profile of the edge in Cero parametric Software. Computational Fluid Dynamic Analysis will have performed by im-porting the model in to CFD Software Ansys Fluent by expecting Initial Boundary Conditions (i.e. bay weight and Velocity. By Fixing Blade Twist point and differing flexible edge. Diverse CAD models will draw, and variety of stream parameters can be created along the turbine (i.e. weight and Velocity) in Ansys familiar Software. The above examinations to be performed for various Blade bend points. Suit-capable charts will be created between stream parameters. By this we will be in the situation to judge, which point is the most best one (the most best edge is the one which changes over the entire weight and speed of the liquid into valuable shaft work).
Broadcast Message Authentication Mechanism to Detect Clone and Sybil attacks in VANET’s based on ID-Based Signature Scheme
Authors: Shaik Kareemulla , Ali Hussain Md.
Published: April 2019

Broadcast Communication is crucial in VANET communication, to send and receive safety messages within network. Securing these beacon message is a challenge, since they are very prone to clone and Sybil attacks. Many works have been proposed to address this problem but they failed to address how to detect and protect these messages from clone attacks and also limited to static networks with limited data sizes.  To achieve this a secure authentication and attack detection mechanism can be designed. In this paper we propose a secure broadcast message authentication and attack detection mechanism with Identity – Based Signatures. Experimental results proved that it can be used in both V2V and V2RSU c communications.   Our scheme shown best performance compared to existing schemes in terms of packet delivery ration, detection rate and detection time.
Analysis of Various Lockout Tagout (LOTO) Devices used in Industrial Safety
Authors: Kumar Sameer , M.Tauseef S
Published: April 2019

Industries have equipment and processes which use hazardous energies like electrical, chemical, gravity, thermal, hydraulics etc. These hazardous energies are handled with utmost precaution and control of these hazardous energies ensures and enhances Safety. Factories Act-India, Occupational Safety and Health Administration, USA(OSHA) and others have defined a very detailed Hazardous Energy Control Program known as Lockout Tagout(LOTO) where these hazardous energies are controlledThese detailed LOTO procedures requires various LOTO devices to control the hazardous energies. These LOTO devices have many varieties (design, sizes, shapes etc.) based on the application.This paper aims to study various LOTO devices used for controlling various hazardous energies like electrical, mechanical, gravity, chemical, hydraulic, thermal, their specifications, application and limitations on a CNC Machining Centre.This will help in identification and use of most appropriate LOTO device for controlling specific hazardous energies. This can be very efficient in safety enhancement and reduction in safety related incidents.
Simultaneous adsorption of phenol and nickel from wastewater using tea fiber waste
Authors: Karania Gunjal , Singh Paridhi , R. Girish C
Published: April 2019

The present work explores the potential of tea fibre waste as an adsorbent to remove phenol and nickel from wastewater in both single and binary component mode. The properties of the tea fibre such as surface area, pore volume and particle size were improved by treating with hydrochloric acid. The isotherm models were verified for single component system to find the adsorption mechanism. The equilibrium data were obeying Freundlich model. The simultaneous adsorption of two pollutants were carried out in order to evaluate the interaction mechanism such as synergic, antagonistic or non-interaction effect. It was observed that overall the system was exhibiting synergistic type of behavior.
Environmental Forensic Techniques in Identifying the Sources of 16 USEPA Priority Pollutants Polycyclic Aromatic Hydrocarbons (PAHs) at the Langat River, Selangor, Malaysia
Authors: Afiqah Mohamd Tahir Nurul , Juahir Hafizan , Pauzi Zakaria Mohamad , Md Zain Sharifuddin , Retnam Ananthy , Sin Sing Tan , Manan Norazida , Ekhwan Toriman Mohd , Ismail Azimah , Khairul Amri  Kamarudin Mohd , Ghazali Adiana , Abd. Wahab Noorjima
Published: April 2019

Twenty-two surface sediment samples were collected from the Langat River, Selangor, Malaysia in January 2010. The concentration of 16 USEPA priority PAHs were determined and quantified by gas chromatography coupled with mass spectrometry detector (GC-MS). The 16 PAHs concentration ranged from 37.91 to 299.68 ng/g dry weight and are within low to moderate pollution range. Cluster analysis showed that SL08, SL09, SL10, SL15 and SL22 can be discriminated as having high pollution loading PAHs due to industrialized region and shipping boat traffic. In this work, Principal Component Analysis (PCA) and PCA association with Multiple Linear Regressions (PCA-MLR) to identify and apportion possible sources of PAHs. Three sources of PAHs were identified: (1) traffic emission (91.57%); (2) coal or wood combustion (6.63%); and (3) spillage of petroleum based products (1.80%). Langat River is highly contaminated by PAHs from pyrogenic sources, in particular 4 rings PAHs (28.87-79.52%) and 5 to 6 rings PAHs (2.69-57.44%).
Cautionary Sign Analysis of Traffic Sign Data-Set Using Supervised Spiking Neuron Technique
Authors: Safirin Karis Mohd , Mohd Ali Nursabillilah , Aisyah Abdul Ghafor Nur , Aizuddin Akmal Che Jusoh Muhamad , Selamat Nurasmiza , Hidayat Mohd Saad Wira , Adzha Kadiran Kamaru , Faiz Zainal Abidin Amar , Ismael Rizman Zairi
Published: April 2019

In this paper, 19 cautionary traffic signs were selected as a database and 3 types of conditions have been proposed. The conditions are 5 different time of image taken; hidden region and anticlockwise rotation are all the experiments design that will shows all the errors in producing the it’s mean value and the performance of traffic sign recognition. Initial hypothesis was made as the error will become larger as the interruption getting bigger. Based on the results of the five-different time of image taken, the error gives the best performance; less error when time is between 8am to 12am due to the brightness factors and the sign can be recognize clearly during noon session. The hidden region conditions show good performances of the detection and recognition of the system depend on the lesser coverage of the hidden region introduce on traffic sign because if the hidden region coverage is huge the database will get confuse and take a longer time to do the recognition process. Lastly, in anticlockwise rotation shows that 90o gave large value of error causing the system unable to recognize sign perfectly rather than 135o angle. To sum-up, detection and recognition process are not depending on higher number of angle but the process solely depending on their value of sample for each traffic signs. The error will give the impact towards traffic sign recognition and detection process. In conclusion, SNN can perform the detection and recognition process to all objects as in the future the system will become more stable with the right technique on spiking models and well-developed technology in this field.
Personal Agency Features of Younger Adolescents with A High Degree Of Passion for Computer Games
Authors: Viktorovna Grishina Anna , Nikolaevna Volkova Elena
Published: April 2019

In the era of intensive informatization of society, computer becomes an integral part of the modern life of the younger teenagers. In Russia, the number of children spending time in front of monitors, playing computer games at home or in a computer club, increases every day. According to Entermedia LLC, the percentage of sales of computer games increases by 50% annually. Currently, 23% of the population of Russia plays computer games, at that the minimum age for a computer player is two years.Strengthening polarization regarding children's interest to computer games becomes one of the most important problems. What is meant here is the fact that, on the one hand, there are adolescents, whose interest in computer games is quite sustainable, while, on the other hand, there are also schoolchildren experiencing mild interest or no interest at all to computer games. The relevance of the present work is determined by the social danger of the phenomenon called high passion for computer games, which deforms, and sometimes blocks the development of the most important personal entities [3, 5, 9, 12, 15]. In this regard, the investigation of the features of personal agency in younger adolescents, which is responsible for the self-regulation of behavior and activity of a subject, is of particular importance.
Video Blog Advertising: Feedback Analysis
Authors: V. Gundarin M , A.I. Zotova A , Y. Ilina I , E. Nakhratova E , V. Makarova I
Published: April 2019

In recent years, a new market trading in cryptocurrencies and instruments based on them has been formed. The market of this paper The Internet, as a result of the gradual development of information technologies, has become an advanced communicative means resulting in totally new communication forms. At this stage of development, Internet technologies promote social growing-up of a person in communities. At this point in the history of the Internet, we face the problem of studying the social aspect of virtual reality. Participants in social and political processes have shown their interest in investigating the Internet phenomenon, including its role in different spheres of public life, since the moment of its formation. Such communicative means as video blogs are of key importance. The urgency of this issue is multifaceted. Thus, the article presents results of the content analysis of the target audience feedback referred to video blog advertising. The findings enable to optimize advertisers’ use of such channel of promotion as video blogs.
Multivariable Classification of Countries of the World in Terms of Innovation Development
Authors: Victorovna Kuznetsova Natalia , Victorovna Kocheva Ekaterina , Anatolievich Matev Nikolay
Published: April 2019

The article makes an attempt to contribute to the scientific literature on the issues of directions of intercountry integration from the point of innovative development and understanding of a new structure of integration associations of countries, leaders of innovation development, which will determine the top level of development. The results of the multivariable classification of 189 countries in terms of innovative development show that the countries are divided into five clusters. Moreover, the leading countries that form the "core" of the cluster are identified within each group. Also, there is a high differentiation in all indicators characterizing innovation development of the countries as evidenced by the calculated coefficients of variation.
Prebiological Organization of Molecules in Models and in the Matter of the Origin of Life
Authors: A. Zhogol R , . .
Published: April 2019

The theoretical model of cell formation in cell selection is considered. The phenomenology of the process shows that molecular evolution did not have a Darwinian basis for development. According to the described model, cell formation is an inevitable process that develops a clear molecular mechanism. This mechanism is observed throughout the entire period of early development, beginning with the stage of initiation of the process, then at the stage of molecular complications and at the final final stage. The mechanism reveals the ideological concept according to which at an early stage there was a group of ribosome structures catalyzing reversible aminoacyltransfer, their activity led to the formation of a self-replicating cycle on a translational basis.
A New Four-Scroll Chaotic System with a Self-Excited Attractor and Circuit Implementation
Authors: Sampath Sivaperumal , Vaidyanathan Sundarapandian , Sambas Aceng , Afendee Mohamad , Mamat Mustafa , Sanjaya Mada
Published: April 2019

This paper reports the finding a new four-scroll chaotic system with four nonlinearities. The proposed system is a new addition to existing multi-scroll chaotic systems in the literature. Lyapunov exponents of the new chaotic system are studied for verifying chaos properties and phase portraits of the new system via MATLAB are unveiled. As the new four-scroll chaotic system is shown to have three unstable equilibrium points, it has a self-excited chaotic attractor. An electronic circuit simulation of the new four-scroll chaotic system is shown using MultiSIM to check the feasibility of the four-scroll chaotic model.
Survey on analysis of energy optimization in MANET routing
Authors: Baby Basil , R Suji Pramila Dr
Published: April 2019

Mobile Adhoc Network (MANET) is becoming a priority in everyday life due to its flexibility and scalability in networking. All mobile applications using networks are ready to share and receive data and so they are capable of supporting infrastructure less networks. This leads to become MANET a prominent networking solution worldwide. So the research eyes are now focused on how to improve the MA-NET performance. There are so many aspects to be analyzed to improve the performance of the MANET. Load balancing is such a critical issue to be addressed seriously to attain maximum throughput from the MANET. Effective Load balancing can be attained by disseminating data traffic among the mobile nodes so that the equilibrium of the MANET is not violated. This ensures the stability of the entire network which will result in maximum throughput and fault tolerance. This paper analyses and compare the effect of energy optimization used in various existing methods and how better load balancing is achieved.
A Novel Partial Thermal Image Encryption Scheme Based on Multiple Chaotic Systems
Authors: B S Lokesh , M B Dr. Manjunatha
Published: April 2019

In this paper, proposed an novel partial encryption scheme for protecting thermal images during transmission. The adopted technique having pixel level and bit level permutation process. To reduce time and computational complexity, an partial encryption technique is adopted. Arnold cat map technique involved in the pixel level permutation process to decrease correlation of original image. The proposed scheme selects only higher four binary planes for the bit level shuffling process. Where this process consists of row and column wise circular shift operation with the help of pseudo random numbers generated from chaotic map system. Mixing of binary planes of the thermal image will leads to prevent the differential attacks. Experimental results shows that proposed scheme exhibits good performance in terms entropy, NPCR and the speed of system.
Population prediction of purwanegara village, Indonesia using modified logistic model with migration factor
Authors: Chika Fransisca Diandra , Marbun Padosroha
Published: April 2019

Population growth model is a widely been used model to do an estimation and forecasting towards the population of peoples, animals, bac-teria and even in economics growth. Many studies have been carried out on population growth model concerning the factors of birth, death and carrying capacity in order to predict the number of population at certain area. From these studies there is only one study involved the constant value factor of migration as an input in the logistic model. Therefore contradicting with the above modified logistic model, in this study logistic model is modified by adding a migration factor as a function of population. This function takes into account the migration and the interaction between peoples that is limited to the carrying capacity of the environment. This model can be solved qualitatively using the analysis of equilibrium point and quantitatively using the separable variables method. This modified logistic model with migration factor has been applied in the population prediction of Purwanegara village in Central Java Province, Indonesia. Throughout the results, the modified logistic model with migration factor as a function of population gives a better result for population prediction of Purwanegara village in Central Java Province, Indonesia compared with logistic model.
Concurrent Engineering for Uppers Stream Process of Stamping Dies
Authors: Senin Azman , Mohd Nopiah Zulkifli , Kamal Ariffin Mohd Ihsan Ahmad , Abdullah Shahrum , Abd Wahab Dzuraidah , Zakaria Ahmad
Published: April 2019

The new-product development process is very important to manufacturing companies in all the product being developed. The product being developed must meet all internal company processes, customer requirement and to be delivered at the planned time. The modern approach in new product development is concurrent engineering. This paper reviews the concurrent engineering development and practices in several countries and industry. An investigation on concurrent engineering approach to selected manufacturing companies were conducted and analyzed. Concurrent engineering implementation is moderate due to organizational, tools and communication barriers. Secondly, the use of digital tools such as Electronic Data Management/Computer Aided Engineering/Computer Integrated Manufacturing is low. To ensure the success of concurrent engineering for critical process in new product development such as stamping process, the stamped part accuracy and considerable processing timings are the key factors.
Rapid Prototyping of a Customized Cooling System for a Novel Crank Rocker Engine
Authors: Altaf Khurram , Baharom Masri , Rashid A. Aziz A , A. Qayyum Junaid , Jahanzaib Mirza
Published: April 2019

A novel internal combustion engine termed as Crank Rocker Engine has been developed at Universiti Teknologi PETRONAS (UTP) Malaysia. In the existing design, the engine cylinder is cooled through forced convection which is not efficient and malfunctioning of cooling system could lead to engine overheating. The objective of the current study is to develop a concept of an integrated and customized cooling system for the Crank-Rocker engine and to develop through rapid prototyping (RP). The proposed cooling system comprises of an integrated cooling water jacket around the engine cylinder, which works on the principle of forced convection. The forced convection is energy intensive and not suitable for stationary engines. Therefore, an enhanced design of the cooling system is required to improve the overall performance of the engine. Since the engine cylinder is curved, the conventional manufacturing technologies could be difficult to apply for the development of cooling system. For swift, precise and economic development as well as performance analysis of the cooling system, RP technique could be promising. In the present study, a customized and modified cooling system has been designed and developed through fused deposition modelling (FDM), an efficient RP technology. Design for additive manufacturing (DFAM) is applied to mitigate development time and support structures of the cooling system. The design is proposed by keeping in view the cooling performance and manufacturability.
Development of Automatic Solar Tracking System for Small Solar Energy System
Authors: Mohamud Ahmed Musse , Kamrul Hasan Mohammad , Shafiq Mohammad
Published: April 2019

The main purpose of this paper is to present a novel idea that is based on design and development of an automatic solar tracker system that tracks the Sun's energy for maximum energy output achievement. In this paper, a novel automatic solar tracking system has been developed for small-scale solar energy system. The hardware part and programming part have been concurrently developed in order for the solar tracking system to be possible for it to operate accurately. Arduino Uno R3, Sensor Shield V4 Digital Analog Module, LDR (Light Dependent Resistor), MPU-6050 6DOF 3 Axis Gyroscope has been used for tracking the angular sun movement as shown in Fig. 1. Accelerometer, High-Efficiency Solar Panel, and Tower Pro MG90S Servo Motor have been used for the hardware part. High-level programming language has been embedded in the hardware to operate the tracking system effectively. The tracking system has shown significant improvement of energy delivery to solar panel comparing to the conventional method. All the results will be shown in the full paper. There are three contributions the research presented in this paper which are, i.e. perfect tracking system, the comparison between the static and tracking system and the development of Gyroscope angular movement system which tracks the angular movement of the sun along with another tracking system.
Review on Lateral Stability of Piled Riverine Structures in the Estuaries of Sarawak
Authors: Lin Jye Lee , R. Kaniraj Shenbaga , Noor Linda bt Taib Siti , Bin Sahdi Fauzan
Published: April 2019

Soft soil conditions with very soft and deep silty clay have constantly endangered the stability of the riverine and estuarine structures in Sarawak. There have been many failures of jetties, wharves and bridges in Sarawak. In many cases of failures, the piles were not designed to resist the lateral movement, unless they were included to stabilize unstable slopes or potential landslides. This practice may be due to reasons such as erroneously judging the river bank as stable in slope stability analysis or simply due to the inexperience of designers. Also, when the river bank approaches the limiting stability in its natural state any construction activity on the river bank could result in lateral soil movement. This paper highlights this important geotechnical problem in Sarawak. Then it presents the details of a few failures of estuarine structures. A review of situations causing lateral loading of piles is then presented. The results of the in-soil and in-pile displacement measurements are shown in this paper and it is found that the computation made to compare between field and 3D modeling is agreeable.