bluuebunny/crossref_metadata_2025 huggingface dataset:
Reducing Electrodes based on Decision Tree Classification for EEG Motor Movement Data
Authors: Deep Dubey Jayesh , Arora Deepak , Khanna Pooja
Published: July 2018

Analysis of EEG data is one of the most important parts of Brain Computer Interface systems because EEG data consists of a substantial amount of crucial information that can be used for better study and improvements in BCI system. One of the problems with the analysis of EEG is the large amount of data that is produced, some of which might not be useful for the analysis. Therefore identifying the relevant data from the large amount of EEG data is important for better analysis. The objective of this study is to find out the performance of Random Forest classifier on the motor movement EEG data and reducing the number of electrodes that are considered in the EEG recording and analysis so that the amount of data that is produced through EEG recording is reduced and only relevant electrodes are considered in the analysis. The dataset used in the study is Physionet motor movement/imagery data which consists of EEG recordings obtained using 64 electrodes. These 64 electrodes were ranked based on their information gain with respect to the class using Info Gain attribute selection algorithm. The electrodes were then divided into 4 lists. List 1 consists of top 18 ranked electrodes and number of electrodes was increased by 15 [in ranked order] in each subsequent list. List 2, 3 and 4 consists of top 33, 48 and 64 electrodes respectively. The accuracy of random forest classifier for each of the list was compared with the accuracy of the classifier for the List 4 which consists of all the 64 electrodes. The additional electrodes in the List 4 were rejected because the accuracy of the classifier was almost same for List 4 and List3. Through this method we were able to reduce the electrodes from 64 to 48 with an average decrease of only 0.9% in the accuracy of the classifier. This reduction in the electrode can substantially reduce the time and effort required for analysis of EEG data.
Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process
Authors: Rishi Kanth N , Srinath A , Suresh Kumar J
Published: July 2018

Analytical Network process (ANP), is applied here as a decision making technique for the selection of appropriate robots for industrial and automation applications. The core motivation of applying, in particular, the ANP technique is that robot selection is dependent upon a number of attributes and criteria which have strong influences/interdependencies upon each other. The ANP, as a multiple attribute decision making (MADM) technique for robot selection, captures the effects of these cross hierarchical dependencies, and appropriately maps the influences within the clusters and between the various alternatives. Simultaneously, the technique does not include the assumption of independence of higher-level elements from lower level elements and about the independence of the elements within a level. First, a set of attributes, which influence the selection of the robots, are identified. Next, using the various steps of ANP, viz., pair wise comparisons matrices and priority vectors determination and the development of the super-matrix the global weights of the attributes with respect to other attributes are determined. The final alternatives are then rated as per the graduated weights of the respective attributes. Thus, a comprehensive solution towards selection of robots enabling the decision-makers to suitably understand the complex relationships of the relevant qualitative and quantitative attributes in the decision-making is obtained. The technique is also illustrated using detailed analysis for a specific case of decision making between three robot suppliers and selection of appropriate robot from alternatives. In order to get more insight into relationships among various attributes and their effect on decision makers, the sensitivity analysis of the results with respect to determinant level attributes is carried out.
CBPPRS: Cluster Based Privacy Preserving Routing Selection in Wireless Networks
Authors: Jayaprakash R , Radha B
Published: July 2018

The In wireless mobile ad hoc network, each node / junction is proficient of transfer message (information) with dynamism without constraint of any permanent infrastructure environment. Movable nodes commonly progress inside or outside from the entire network dynamically, building network topology unbalanced in mobile ad-hoc network (MANET). In a privacy preserving network group, cluster head is dependable for communication with associates in a cluster which consumes additional battery (energy) supremacy in evaluation to cluster members in a cluster. As a message transmission inside and outside cluster as a result, it becomes an enormously testing job to maintain stability in network. In this paper aims to present a cluster based privacy preserving routing protocol selection algorithm in inside and outside cluster using NS (Network Simulator) 2.34 Framework. The proposed routing protocol selection based Cluster head selection formation operates exclusively based on source routing and on-demand process, it has been selected as the routing protocol to be executed and tested for ad hoc network application characterized by a source on-demand message conversation between nodes in a portable ad hoc network
Influence of Stress on Blood Morphology
Authors: N. Shulga Nikolay , M. Mandro Nikolay , A. Gavrilova Galina , N. Chubin Alexey , Yu. Sayapina Irina , A. Gavrilov Yuriy , V. Hibchenov Lopsondorzho , V. Trush Natal'ya
Published: July 2018

Stress is a set of nonspecific changes in the body that are the result of its neurohumoral reaction to external stimuli, and its causative factors are called stressors. Changes in the body caused by a stressor are called the general adaptation syndrome, which is actually the clinical manifestation of stress. Various stresses (technological, temperature, rank ones, trauma, burns, etc.) should be considered as conditions that lead to a decrease in the level of the body's immune status and an increase in the susceptibility of animals to pathogenic and potentially pathogenic microflora that is constantly persistent in their bodies and the surrounding environment. This pattern is manifested in varying degrees in farms of different forms of ownership, in the form of stress factors that reduce the level of the immune status of the organism. The article presents the results of research on the influence of stress of regrouping on blood morphology and the immune system of newborn calves. Calves’ blood was examined before and after regrouping, it was found that a decrease in the level of the immune status of the organism manifesting itself in a change in the morphological blood pattern and an increase in the susceptibility of animals to diseases, is caused by stress of regrouping, thus, stress negatively affects the overall parameters of blood morphology and calves’ immunity.
Detection of Driver Drowsiness using Eye Blink Sensor
Authors: Kumari B.M Kusuma , Sethi Sampada , Kumar P Ramakanth , Kumar Nishant , Shankar Atulit
Published: July 2018

Accidents due to driver drowsiness can be prevented using eye blink sensors. The driver is supposed to wear the eye blink sensor frame throughout the course of driving and blink has to be for a couple of seconds to detect drowsiness. Any random changes in steering movement leads to reduction in wheel speed. The threshold of the vibration sensor can be varied and accordingly action can be taken. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver falls asleep and also the LCD displays the warning messages. The wheel is slowed or stopped depending on the condition. This is accompanied by the owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and police station list near to driver’s location. This is how the driver can be alerted during drowsiness and the owner can be notified simultaneously
An Integrated Technique for Image Forgery Detection using Block and Keypoint Based Feature Techniques
Authors: Apurupa Leela , D.Dorathi Jayaseeli J , Malathi D
Published: July 2018

The invention of the net has introduced the unthinkable growth and developments within the illustrious analysis fields like drugs, satellite imaging, image process, security, biometrics, and genetic science. The algorithms enforced within the twenty first century has created the human life more leisurely and secure, however the protection to the first documents belongs to the genuine person is remained as involved within the digital image process domain. a replacement study is planned during this analysis paper to discover. The key plan in the deliberate take a look at and therefore the detection of the suspected regions are detected via the adaptive non-overlapping and abnormal blocks and this method is allotted exploitation the adaptive over-segmentation algorithmic rule. The extraction of the feature points is performed by playacting the matching between every block and its options. The feature points are step by step replaced by exploitation the super pixels within the planned Forgery Region Extraction algorithm then merge the neighboring obstructs that have comparative local shading decisions into the element squares to encourage the brought together districts; at last, it applies the morphological activity to the bound together areas to ask the recognized falsification districts The planned forgery detection algorithmic rule achieves far better detection results even below numerous difficult conditions the sooner strategies all told aspects. We have analyzed the results obtained by the each SIFT and SURF and it is well-tried that the planned technique SURF is giving more satisfactory results by both subjective and objective analysis.
Centralized Authentication Smart Locking System using RFID, Fingerprint, Password and GSM
Authors: Sai Divya M , Nagabhushana Rao M
Published: July 2018

The primary aim of implemented project is design of the RFID based high security building locking system, fingerprint, GSM technology, and password. In the implemented system, only authorized person can be enter from the building door locking by scanning his card. The implemented building locking system works based on the RFID, Password, GSM and Fingerprint. The Door locking system can be activated for authorized and valid user by scanning his card and unauthorized user enters in the building a Gsm module sent a message to authority unauthorized user entering in the building.
A Working Model for Mobile Charging using Wireless Power Transmission
Authors: Joe Louis Paul I , Sasirekha S , Naveen Kumar D D , S. Revanth P
Published: July 2018

Portable electronic devices are very popular nowadays. Almost all portable devices are battery powered, meaning that eventually, they all must be recharged–using the wired chargers currently being used. As the usage of these portable electronic devices is increasing, the demands for longer battery life are also increasing. These batteries need to be recharged or replaced periodically. It is a hassle to charge or change the battery after a while, especially when there is no power outlet around. Now instead of plugging in a cell phone, Personal Digital Assistant (PDA), digital camera, voice recorder, mp3 player or laptop to recharge it, it could receive its power wirelessly. The technology for Wireless Power Transmission or Wireless Power Transfer or Transmission (WPT) is in the forefront of electronic development. WPT systems are designed to transmit power without using wires more efficient than transmitting it while using wires. There could be large number of applications for wireless power systems. Hence, in this work, a wireless battery charger has been proposed for mobile phone charging which is expected to eliminate all the hassles with today’s battery technology. The advantage of this device is that it can wirelessly charge up the batteries which can save time and money in a long run for the general public.
Study on Strength Characteristics of Pervious Concrete Using Mineral Admixtures
Authors: Avinash Lakshmireddygari , Adarsh Reddy Pothireddy , S.Vivek S
Published: July 2018

Pervious concrete is a special type of concrete emerged out in the concrete world. It is referred as porous concrete or no fines concrete. The porous concrete has wide applications in the pavement with low traffic intensity, sidewalks, pathways, platforms, parking lots etc. Since the pervious concrete allows the groundwater replenishment and prevents the pool of water standing on the earth surface during rainfall-runoff, it helps in the stormwater management. In the present work, the partial replacement of cement with silica fume (SF) and metakaolin (MK) as mineral admixtures to an extent from 10 to 30 % by varying water-cement (w/c) ratio from 0.36 to 0.40 was done to study the effect on the performance of pervious concrete. From the results, an optimum w/c ratio was found to be as 0.38 along with 1.5% of the superplasticizer. The experimental results reveal that the compressive strength of pervious concrete containing mineral admixtures was found to be better than the compressive strength of conventional pervious concrete. Among three different percentage of substitutes used, 20% was found to be an optimum value in both the cases. Pervious concrete with SF as admixture exhibited better strength among the two admixtures..
Intelligent Wearable Device for Coal Miners
Authors: Prabhu P , . Umang , Jayakumar Jyothi , Phanindra Kumar Ch , . .
Published: July 2018

In this paper we are designing an intelligent wearable device for coal miners. This proposed system not only helps the workers in telling about the poisonous gases that are present but also tracks them if any mishap occurs. The device is provided with methane and carbon monoxide gas sensor. It ensures the supervision based on IoT (Internet of Things). We make use of mainly NRF module and RFID technology. RFID can easily track a person in case of an accident. Use of IoT helps us to make the database as well as helps us in communication to the nearest hospital if help needed.
A Review on Generation Management in India with Renewable Energy Sources
Authors: Rajesh R , Mutharasan A
Published: July 2018

Regarding development in the request and utilization of vitality. India is developing exponentially. With the request of spotless and environmentally friendly power vitality, it is important to tackle the tremendous potential from the sustainable power source part. With the GOI strategy and rules, around nine level of the aggregate introduced limit originates from the inexhaustible sources. With the expanded to the framework and observed to keep up the recurrence and members in the age administration framework. Given the vulnerability and inconstancy in the yield of generator, it is a noteworthy test to keep up the matrix with this vacillation. Under this viewpoint, this paper underscores the technique to address the difficulties in incorporating the power from sustainable power sources. Quantum of wind vitality is corresponded with the breeze speed and heading, shrewd estimate motor is embraced to lessen the uncertainly.
IOT Based Smart Garbage Alert System and Public Awareness Intimation Using Wireless Sensor Networks
Authors: Kayalvizhi S , Mahendra Reddy S , Mahidhar M , Raja Reddy G
Published: July 2018

Squander administration is one of the essential issue that the world faces regardless of the case of created or creating nation. The key issue in the waste administration is that the trash receptacle at open spots gets flooded well ahead Of time previously the beginning Of the following cleaning process. It thus prompts different perils, for example, terrible smell and grotesqueness to that place which might be the main driver for spread of different sicknesses. To maintain a strategic distance from all suchdangerous situation and keep up open tidiness also, wellbeing this work is mounted on a brilliant waste framework. The primary subject Of the work is to build up a brilliant wise waste ready framework for a legitimate junk administration.
Flexural Behaviour of RC beams using GFRP Composites
Authors: Sivasankar S , Bharathy T , Vinodh Kumar R
Published: July 2018

Reinforced Concrete (RC) structures damaged by sudden accidental loads due to earthquake and severe environmental exposure. Traditional strengthening methods are not meeting the service life of the structure for long time. Recently, FRP strengthening is used successfully in all kind of exposure with minimum cost and less duration. In this paper RC beams were strengthened by GFRP sheets in two different orientations. Two specimens are control beams, two specimens are wrapped with U wrapping and the remaining beams are bottom wrapping. The size of the beam is 1700mm long, 150mm  wide and 250mm depth. The test specimens consit of 2 nos of 10mm dia rods as longitudinal reinforcement in compression zone and 2 nos of 10mm dia steel rods in tension zone. 2-legged stirrups of 8mm diameter were used with a centre-to-centre spcaing of 150mm. All beams were tested under four-point loading. Experiments will be undertaken until beams fails so that the influence of GFRP characteristics on the Flexural behaviour of beams which includes Flexural behaviour, Ultimate load carrying capacity, Deformation and Stress-strain behaviour. Evaluation of the results will lead to optimum GFRP jacketing /wrapping arrangements for the concrete beams are considered here.
Comparative Study of Regression Techniques in the Estimation of UPDRS Score for Parkinson’s disease
Authors: B Santhi , Ram Prasad Harini , Jayaraman Rohith
Published: July 2018

Studies have shown that instances of Parkinson’s disease have been on the rise over the past 30 years. A metric that measures the extremity of Parkinson’s disease in a person is their Unified Parkinson’s Disease Rating Scale (UPDRS) score. Thus, an algorithm that can predict the UPDRS score of a Parkinson’s patient will be effective in determining the severity of the patient’s condition. This paper aims to forecast a patient’s UPDRS score by inferring patterns from historical figures and other independent parameter values that affect the patients’ UPDRS score. Four regression techniques namely multilinear, ridge, robust and LASSO regression are being used to predict the UPDRS scores. This will be done using the R language and through the use of the MASS, glmnet packages.
Approaches to Clustering in Customer Segmentation
Authors: Tripathi Shreya , Bhardwaj Aditya , E Poovammal
Published: July 2018

Customer Relationship Management(CRM) has always played a crucial role as a market strategy for providing organizations with the quintessential business intelligence for building, managing and developing valuable long-term customer relationships. A number of business enterprises have come to realize the significance of CRM and the application of technical expertise to achieve competitive advantage. This study explores the importance of Customer Segmentation as a core function of CRM as well as the various models for segmenting customers using clustering techniques. The available clustering models for customer segmentation, in general, and the major models of K-Means and Hierarchical Clustering, in particular, are studied and the virtues and vices of the techniques are pointed out. Finally, the possibility of developing a hybrid solution by the combination of the above two techniques, having the ability to outperform the individual models, is discussed.
Study on Strength Properties of Concrete with Ceramic Waste Aggregate and Silica Fume Admixture
Authors: G Suresh , S Harishankar
Published: July 2018

The ceramic waste is used as a coarse aggregate replacement in concrete is a two way beneficial process that involves minimization of resources for construction and processing of hazardous industrial wastes that cannot be recycled. The ceramic waste obtained from waste dismantled building were used as coarse aggregate 10%, 20%, 30%, 40% and 50% replacement.  To improve the mechanical properties silica fume is added as admixture in the concrete. The optimum percentage replacement was obtained considering the strength as well as the objective of using ceramic waste aggregate. The compressive strength of concrete cubes were tested . The compressive strength of aggregate replaced concrete has been compared to that of conventional concrete and the results are evaluated.
Research on the Effect of Engine Intake System and Cylinders with Different Surface Shapes on the Engine
Authors: XU Changchun , Muk Cho Haeng
Published: July 2018

In the present, the automobile is the popular tool in every family. In the DI diesel engine, about the intake system that this system can af-fect properties of the engine, such as change the air flow velocity and pressure into cylinders, and among the air through the pump or throttle body(throttle valve), the throttle body can make air to produce eddies and change the air flow pressure, because when air into cylinder, the air pressure is an important parameter, so the time of the throttle valve opening in very important(also say the angle of opening), we know the surface of the cylinder can affect the air and fuel mixing rate, so we have investigated the effect of different surface shape. Found the different surface can improve the engine combustion properties. In this article, we will combine the throttle valve and the different surface shapes of the cylinder, make a survey what find the effect of this combination at the constant revolutions per minute(RPM). We will set the velocity at 1000rpm by tentative and investigate the position of the piston at the same location(inhale status) when premix air and fuel into the cylinder.
An energy efficient flexible delay tolerant network with adaptive secured framework (ASF-DTN)
Authors: S Dhanabal , Amudhavalli P Dr , Prasanna Venkatesan G. K. D Dr , Prasanna Venkatesan G. K. D Dr
Published: July 2018

Delay tolerant networks are widely used in mobile communications because of network withstanding capability of delay. However, when the connectivity of nodes increases, data loss may occur while transmission. Due to the malicious behavior of nodes the data may get permanently lost, which is known as black hole attacks and there is a chance to partial data loss because of the lower energy level of a node, which is known as a gray hole attack. In existing work, the data capacity of a node is not limited, so most of the highly energy efficient node contains a huge amount of data, when compared to other nodes which may lead to random attack. To overcome this, we propose a subjective capability model (SCM) for each and every node to limit the capacity of each node. ASF-DTN prevents collision attack and injection attack by implementing Kalman filtering, which can statistically analyze the behavior of nodes while each and every transmission. Here, we propose an effective node optimization scheme using genetic algorithm with a fitness function to find out energy efficient nodes among the optimal path for effective communication and its performance.
Null function classification using NFR matrix and decision tree
Authors: Hoshmand Hedayatullah , Singh Kang Sandeep
Published: July 2018

This research work is based on the classification of the functions which are required and which is not required for the efficient development of the software. The motivation of this work is to identify non required functions to reduce development cost and efforts. The classification is the technique which can classify data into certain number of classes. The NFR matrix is the existing technique which can classify the Null functions. To classify the null functions NFR use clustering method which can modify to increase accuracy of classification. In the existing method NFR matrix is used for the null function classification, it use the clustering for the classification. In this work, decision tree will based with the clustering. It take input result of clustering and generate classified result.
Evaluation of residual stresses in multipass dissimilar butt-welded of SS316L to Inconel625 using FEA
Authors: Vemanaboina Harinadh , Edison G , Akella Suresh
Published: July 2018

In the present analysis, thermo-mechanical process was employed to study the thermal and structural behaviour of three pass dissimilar butt-joints of SS316L to Inconel625 alloys. The temperatures evolution and residual stresses developed in the weldments were reported for each pass in the transverse direction to fusion zone. The Ansys Parametric Design Language (APDL) used for modelling and analysis of welding process with the double ellipsoidal heat source. The temperature dependent thermal and mechanical properties used in the simulation process. The residual stress is compressive in SS316L side compared to Inconel 625. The residual stress is within the yield limits of both base materials. The results obtained from the simulation process will be helpful for maintaining the structural integrity.
Distortion control in multi pass dissimilar GTAW process using Taguchi ANOVA analysis
Authors: Vemanaboina Harinadh , Edison G , Akella Suresh
Published: July 2018

The present study is to observe the distortion development in the weldment of Inconel 625 to SS316L multipass weldments. In this work two-level factors such as welding process, filler wire and root gap were employed with L4 orthogonal array. The welding has been carried out with continuous current and pulsed current gas tungsten arc welding process implementing ERNiCrMo-3 and ERNiCr-3 fillers rods respectively. The fractional factorial experimentation was analysis of variances (ANOVA), it was carried out to observe the critical parame-ter which influence distortion caused in the weldments. The quality of welds has been evaluated by X-Ray Radiography test. The results show that welding process and filler wire are contributing more in the distortion.
Intelligent health risk prediction systems using machine learning: a review
Authors: Santosh A. Shinde Mr , P. Raja Rajeswari Dr
Published: July 2018

Humans are considered to be the most intelligent species on the mother earth and are inherently more health conscious. Since Centuries mankind has discovered various proven healthcare systems. To automate the process and predict diseases more accurately machine learning methods are gaining popularity in research community. Machine Learning methods facilitate development of the intelligence into a machine, so that it can perform better in the future using the learned experience. Machine learning methods application on electronic health record dataset could provide valuable information and predication of health risks.The aim of this research review paper are four-fold: i) serve as a guideline for researchers who are new to machine learning area and want to contribute to it, ii) provide state-of-the-art survey of machine learning, iii) application of machine learning techniques in the health prediction, and iv) provides further research directions required into health prediction system using machine learning.
FPGA-based redundancy bits reduction algorithm using the enhanced error detection correction code
Authors: TOLENTINO Lean Karlo , PADILLA Maria Victoria , SERFA JUAN Ronnie
Published: July 2018

To ensure an error-free transmission in packet switching, additional check bits (either header or a payload) are typically appended to the input data of a message for error detection especially in a string of binary code. Normally, it comes from the input message and as a result of a deterministic algorithm after these data have been processed. The receiver system implements the said algorithm, while the transmitter used it to match the reliability of the sent information and detects whether an error bit has occurred or not. The corrupted bits will be corrected, recovered, and matched with the original message. To further improve the detection and correction of the corrupted transmitted bits, an enhanced error detection correction code implementation was proposed and developed in this paper. This will improve the limitations of using cyclic redundancy checking (CRC) code and Hamming code, by reducing the number of the redundancy bits ‘r’ in CRC due to the needed polynomial generator, and the overhead of interspersing of the r in conventional Hamming code, respectively. Xilinx Spartan 6 (XC7Z020-2CLG4841) FPGA was used to synthesize the proposed enhanced error detection code (EEDC) method. Based on the results, the transmission rate is faster, and an increase in detection of random errors compared with using CRC and Hamming codes.
End-to-End Performance Evaluation for MIMO-OSTBC Adaptive Modulation Over Rayleigh Fading Channel
Authors: Al-Omary Alauddin
Published: July 2018

This paper presents end-to-end performance evaluation for adaptive Orthogonal Space-Time Block Codes (OSTBC) Multiple Input Multiple Output (MIMO) communication system over frequency selective Rayleigh fading channel. The system operates with one, two, three or four transmit or receive antennas to transmit and receive any frame. The system uses an adaptation algorithm that dynamically adjusts the used number of transmit and receive antennas based on the difference between the target and actual frame-error rates (FER) of the overall system. In this way, the performance of the system can be controlled adaptively. Alamouti and other adaptation algorithms are implemented in this system. The results show that FER improve significantly as the SNR increases and when the SNR is small, the adaptive algorithms successfully adjust the use of MIMO antenna to compensate the impairment caused by the faded and noisy channel.
Analysis of Websites Supplying Computer Games in the Assessment of Users
Authors: Chmielarz Witold , Szumski Oskar
Published: July 2018

The aim of this article is to execute a comparative analysis of delivery methods used to purchase computer games. The article is a continuation of research focused on the popularity, use and impact of games on the behavior of a prominent population. For the analysis it was chosen the nine most common computer game stores found in the first hundreds of searches in Google. CAWI analyzes were used for six groups of features: transparency, site navigation, quality of information, product search quality, advertising, and the quality of the order processing from the customer's perspective. A qualitative study was conducted to select a sample of selected students using the point method and the point method with preferences to evaluate the distinctive features of the services. A group of over two hundred and fifty randomly selected people from the university was examined. This approach was based on the structure of the article consisting of the presentation of the research hypothesis, the description of the methodology and the research sample, and the analysis of the results and their discussion together with the resulting conclusions. The results of the work may be used by the owners of computer games and website designers.
Methods of Protecting the Distributed Computation in Multi-Agent System
Authors: A. Khovanskov S , E. Rumyantsev K , S. Khovanskova V
Published: July 2018

Currently, there are many different approaches for organization of the distributed calculations in computer network technology grid, metacomputing (BOINC, PVM, and others).  The main drawback of most existing approaches is that they are designed to create centralized distributed computing systems. In this article we propose to organize the solution of such problems as multivariate modeling, through the creation of distributed computations in computer networks based on decentralized multi-agent system. When used as a computing environment a computer network on a large scale can cause threats to the security of distributed computing from the intruders. One of these threats is getting the calculation about the result by the attacker. A false result can leads in the modeling process to adopt is not optimal or wrong decisions. We developed a method of protecting distributed computing from the threat of receiving false result.
Comparison of Microwave and Ultrasonic Assisted Extraction of Kaempferol from Cassia Alata
Authors: Ling Yeong Yi , Fun Pang Sook , Yee Chong Sin , Gimbun Jolius
Published: July 2018

The effect of auxiliary energy to the kaempferol extraction yield from Cassia alata is presented in this paper. The effect of auxiliary energy ranging from 0.045 to 20 W/ml was studied by performing extraction using ultrasonic assisted extraction (UAE), maceration (ME) and microwave assisted extraction (MAE). A ultra-performance liquid chromatography coupled photodiode array (UPLC-PDA) was used for kaempferol identification and quantification. Matching of residence time and UV spectrum between the authentic standard and plant extract was observed to confirm the presence of kaemferol. It was found that MAE method has the highest extraction yield of kaempferol at 21.55 mg/g DW followed by UAE (18.60 mg/g DW) and ME (12.01 mg/g DW). Besides that, the extraction time of MAE was the shortest which is only 4 minutes. The optimum conditions to obtain a high kaempferol yield was achieved using 100% ethanol to extract C. alata powdered leaves with PSD ≤125µm and plant solid to solvent ratio of 1:20. The findings in this work may serve as a useful guide to obtain highest extraction yield of kaempferol from C. alata.
A Review on Sentiment Analysis in Arabic Using Document Level
Authors: Awajan Ibrahim , Mohamad Mumtazimah
Published: July 2018

With the rapid increase of web contents and the spread of social media and microblogs such as Twitter and etc.., the focus on the sentiment analysis (SA) is deeply being studied. The research on Arabic sentiment analysis is progressing very slow in compared to English sentiment analysis. The former has recently attracted a considerable concentration of researchers. In this respect, this paper aims to present a brief review of some major works that have addressed the document-level sentiment analysis in Arabic. This review includes research and studies published during the period of 2011-2017 for different approaches of document-level sentiment analysis.
Improving MIMO system throughput using power transmission scheduling
Authors: SK Khaleelahmed , N Venkateswararao , KN Varshasree , V. Naidu P
Published: July 2018

The main idea of this paper is to select the best power allocation throughput model by simulating the different power allocation theoretical modules in MIMO arbitrary multipath environment to address the effects of channel parameters on throughput. In general, power allocation techniques are used for minimizing the overall Bit Error Rate (BER). In this process, the channel estimation is usually done at the receiver by accessing the Channel State Information (CSI). The optimized system can be designed with respect to channel parameters so that it can be suitable for transmitter side during power allocation. The simulation analysis is carried out in NI LabVIEW and it is observed from the studies that the throughput results are as a function of received power. Under static system parameters, the relative throughput of the water filling (WF) power allocation model is found to be high efficient 15.74% when it is compared with the open loop zero-forcing (ZF) and it is 4.45 % with respect to inverse singular value decomposition (SVD) equal power allocation models.
Design of compact wideband unequal wilkinson power divider with improved isolation
Authors: Ravi V , Sharma Dinesh , K Purnima , Vummadisetty. Naidu Praveen , Ravi Raja A , Kumar Arvind , P. Singh Abhaya , Raveendra P
Published: July 2018

In this article, a compact unequal, planar Wilkinson power divider with ultra-wideband operation is proposed. The composed power divider having the size of 11.6 mm × 18.5 mm. It consists of one input and two output branches with individual resistive values. Two isolation resistors are used to provide better isolation between the two output ports. The impedance values of each transmission branch and isolation resistors is varied based on the output power division ratio i.e. (P2/P3). The ADS package simulated results of the designed unequal WPD satisfy the operating range (S11 ≤ -10 dB) from 2.5 GHz to 18 GHz and isolation are obtained over the entire frequency of operation.
Steel Statically Uncertain Transverse Frames Probabilistic Calculation
Authors: Chichulina Kseniia , Chichulin Viktor , . .
Published: July 2018

The aim of the work is probabilistic calculation and evaluation of steel statically uncertain frames reliability parameters and recommendations development for reducing their material content by controlling the reserves of the load bearing capacity of the.A method for evaluating the reliability parameters of steel statically uncertain frames by all able-bodied statens is developed. Logical  probabilistic methods of statically uncertain systems work are used. The probability estimation method of statically uncertain systems failure based on the boundary equilibrium method, taking into account the correlation of individual destruction schemes, is obtained. The method of calculating the significance and contribution of individual frame elements and their influence on the system failure probability as a whole is proposed. The practical method of designing steel statically unidentified frames with the use of steel statically uncertain constructions reliability coefficient γs is offered. The scientific novelty of the work is to develop a scheme for determining frames failure probability by estimating the working capacity. In particular, the fragile and plastic fracturing failures of the frame section are considered. The algorithms for calculating the steel frames failure probability are determined by the probabilistic method of graphical equilibrium. The steel frame separate elements significance indexes are determined. The numerical experiment on the developed programs on a PC is presented for estimation of steel frames failure probability of various sections. the of of steel statically uncertain constructions reliability coefficient γs is proposed for usage.The practical value is more complete consideration of the structures and the probabilistic nature of strength and load, the use of the reliability coefficient. The possibilities of obtaining more economical frames in the design of new ones as well as reconstruction of existing buildings and facilities are identified. Based on the proposed methodology, algorithms and developed programs on the PC for the probabilistic calculation of steel statically uncertain frames for various purposes are compiled.
Thermal Modernization of the Panel Buildings External Walls
Authors: Filonenko Olena , Yurin Oleg , Kodak Olga
Published: July 2018

The thermal protection level of the first mass series panel buildings (series 111-94) is the lowest among residential buildings in Poltava. The problems of these buildings’ thermal modernization, is consideration of heat-conducting inclusions effect on the reduced resistance to heat transfer. In the studies such heat-conducting inclusions as the panel joints’ design, the window slope and the external wall geometry (the external corner) were taken into account. Studies were performed for the four pattern sections of the outer wall. Panels of two thickness variants with two joint designs were under consideration.To analyze the thermal protection level, the results of the two-dimensional temperature fields’ calculations were used. The analysis of the wall panels’ thermal protection level before the thermal modernization was performed. The magnitude of the heat conducting inclusions effect on reduced resistance of the walling to the heat transfer before and after the thermal modernization is determined. Possible ways of improving the wall panels’ heat-protective properties to the level of the standards in Ukraine are considered. The optimal variant of insulation for each pattern was chosen.
Integrating the BSC and KPI Systems for Improving the Efficiency of Logistic Strategy Implementation in Construction Companies
Authors: Gryshko Volodymyr , Zos-Kior Mykola , Zerniuk Olena
Published: July 2018

The article presents the theoretical and practical basis of BSC and KPI systems integration with a view to improve the efficiency of logistic strategy implementation at construction enterprises. It has been determined that an information logistic system of a construction company should be based on the system of complex performance indexes of logistic activity and it also should have a corresponding to them logistics information system that reflects the running state of logistic strategy implementation and enables to evaluate its efficiency. The exogenous variables, affecting the indicated efficiency, have also been presented in an entry. Based on the research findings, it has been concluded that the proposed guidepost indicators provide an opportunity to insure the process of logistic activity based on modern approaches and procedures in accordance with the chosen logistics strategy of the construction company.
Experimental Investigations of the Stress and Strain State of Continuous Reinforced Concrete Beams Under the Action of Low-Cyclic Repetitive and Alternating Loads
Authors: Masiuk Grigoriy , Yushchuk Oleksandr , Paschenko Andrii
Published: July 2018

The article is devoted to the experimental studies of the stress and strain state of the two-pass reinforced concrete beams under the influence of low-cyclic repeated and alternating loads. Based on the results of experimental studies, the effect of low-cyclic repeated and alternating loads on the change of the stress and strain state of continuous reinforced concrete beams has been established. In the course of testing the sample, it was found that the stress and strain state of the beams under the action of the above mentioned loads is significantly different from the stress and strain state of the beams under the action of nonalternating static loads, namely, the decrease of the bearing capacity, the increase of the deflections and the width of the cracking. All this is due to the change in the physical and mechanical properties of concrete in response to the above-mentioned loads on experimental.
Management of the Properties of Shipbuilding Expanded Clay Lightweight Concrete
Authors: Kroviakov Sergii , Mishutin Andrii , V. Pishev O
Published: July 2018

The purpose of the research was to improve the strength and durability of shipbuilding expanded clay lightweight concrete by using modifiers, fibers and optimizing the composition of concrete. The four-factor experiment was carried out according to the optimal plan. The experiment varied, the amount of sulfate-resistant Portland cement, silica fume and polypropylene fiber. The content of expanded clay gravel in concrete also varied. Strength, watertighness, frost resistance and average density of ship-building expanded clay lightweight concrete of various compositions are investigated. The rational quantity of modifiers and fibers is determined. It is shown that shipbuilding expanded clay concrete has high watertighness and frost resistance, which ensures their durability when operating afloat. The use of lightweight concrete allows increasing the load carrying of floating structures and improving the working conditions of personnel. Normative documents for the production of concrete for floating reinforced concrete structures inUkrainehave been developed.
The Stress-Strain State Computer Modelling of Reinforced Masonry Under Local Loading
Authors: Pinchuk Nataliia , Fenko Oleksiy , Kyrychenko Volodymyr
Published: July 2018

Reinforced masonry elements stress-strain state modelling allows to define places in which stresses and strains are maximum. It is necessary to pay special attention to these places during experimental investigation. Accepted models of structures are adequate and corresponded to real constructions. Using computer modelling by the finite element method, the finite element size influence on the calculation accuracy is determined. The necessary resources of a personal computer to create and calculate such a model are sufficient and suitable for studying modelled structures stress-strain state. Good convergence of the deformations obtained from the resistive-strain sensors during the experimental investigations and according to the numerical modelling results is received.
Relevant Cash Flows Information for Engineering & Construction’ Companies Investors
Authors: Pogorelov Yurii , Dubovaya Valentina , Bilousova Anastasia
Published: July 2018

Purpose of the article is to analyze and improve approaches of making financial reports about cash flows to provide relevant cash flows information for Engineering & Construction’ companies existing and potential investors. There were such research approaches used as analysis of financial reports, rating method and empirical analysis on open data. There is a fact found about non-compliance by Biggest Global Engineering & Construction’ companies of IAS 7 about reporting cash flows from operating activities using the direct method found. It was suggested to make all parts of statement of cash flows by direct method. It is grounded by topicality of such cash flows information for existing and potential investors, including making them modeling cash flows. It is recommended to expand using some indicators such as «Net Cash Flows from Operating Activities», «Net Cash Flows from Investing Activities», and «Net Cash Flows from Financing Activities» and «Cash Flows Receipts as the most objective one for characterizing economical activity of entities while making Global Business ratings. It is suggested to continue researches in direction of analyzing the best practical approaches to make report of Cash Flows from Operating, Investing & Financing Activities to generalize the best international experience.
Deformability of Short Steel Reinforced Concrete Structures on Light Concrete
Authors: Semko Oleksandr , Dariienko Viktor , Sirobaba Vitaliy
Published: July 2018

The calculation, modeling and experimental research of steel-concrete tubular elements made of thin-walled galvanized sheet metal and lightweight concrete have been carried out. The proposed type of structures can be used as a separate structure in the form of a column or a pillar, and one of the types of the reinforcement of a certain light structure. The basic technological and constructive requirements for manufacturing and further exploitation of structures are given. For determination of actual work’s indexes of constructions experimental research of standards are undertaken, and recommendations on adjustment of well-known calculation formulas of close constructions as for structural parameters are given. The design (modeling) was performed in MSC / Nastran software. An analysis of the proposed structures use is carried out with the corresponding conclusions.
Investigation of Intelligent Technologies for Formation Forecasting Models
Authors: Skakalina Elena , . .
Published: July 2018

Actually much attention is paid to the development of new intelligent information technologies for solving forecasting problems in different subject areas. The goal of solving the problem of forecasting dynamic indicators is in most cases to increase the effectiveness of making managerial decisions in conditions of uncertainty for complex distributed systems, which include economic entities. The modern global business environment dynamically forms new markets, which in turn require the use of new innovative technologies, without which it is impossible to have a competitive efficient economy in general and successful business groups in particular. In paper the research of intellectual information technologies of construction of predictive models on the basis of modified adaptive prediction methods is carried out: a neuro-network group method of  data handling and a hybrid genetic algorithm with fuzzy predictive block with the purpose of justification of their use for different subject areas. Exactly  these technologies  are relevant and promising for improving the accuracy of forecasts.