VOLUME 6, ISSUE 5, MAY 2019

Abstract: The purpose of research is to determine the effect of Job Satisfaction (X1) and Work Motivation (X2) to Turnover Intention (Y2) through Organizational Commitment (Y1) on PT. BPD Banten Bank, Tbk Operational Headquarters Office. This research was conducted to employees of PT. Bank BPD Banten, Tbk with a total of 195 respondents. The subsequent purpose is to find correlation between variables and the covariance measurement tested by using Structural Equation Modelling Method (SEM). The results indicate that Job Satisfaction has a positive and significant effect on Organizational Commitment, Job Motivation has a positive and significant effect on Organizational Commitment, Job Satisfaction has no effect on Turnover Intention, Job Motivation has no effect on Turnover Intention, Organizational Commitment has no effect on Turnover Intention.

Keywords: Job Satisfaction, Work Motivation, Organizational Commitment, Turnover Intention

Abstract: The paper emphasizes that entrepreneurship, owing to its widespread character, determines largely the socioeconomic and, in a way, the country's political development. It also considers the sources of entrepreneurship funding. Entrepreneurship in Azerbaijan as a whole is escalating and developing. On the other hand, all this took shape by applying the residual principle in supporting enterprises, and because of lack of a concrete and distinct government policy. The key problems were identified and the reforms being introduced were shown to have a positive effect on entrepreneurship. However, at the same time, in view of the immature condition of the reforms, development of entrepreneurship in the country, especially in the manufacturing industry, calls for substantial expenditures and is being retarded. Hence, coherent changes in the legislation, which would lay down a clear and stable framework for current activities, especially for business planning of business entities, would be a significant step.

Keywords: State, Entrepreneurship, Business Activities, Financing, Sources of Funding, Innovation

Abstract: Osteoporosis is a kind of a skeletal system disease mainly categorized by alterations in bone mass density and its structure that makes the bone prone to fracture. The assessment of osteoporotic disease from bone radiograph images presents a major challenge for pattern recognition. Textured images of osteoporotic and healthy subjects show high degree of resemblance, it increases the difficulties in discriminating such textures. Early diagnosis of this disease is vital for a healthy living condition.

Keywords: Bone mineral density, artificial neural network, Auto encoder, Osteoporosis, SVM classifier

Abstract: Steel angles and strips jacketing method is the popular structural local strengthening technique for existing deficient RC columns. Although this strengthening technique is well accepted, limited research is carried on the actual strength and behaviour enhancement of the deficient RC columns due to the application of this particular steel jacketing method. This study primarily intends to review the experimental and numerical works on the steel angles and strips jacketing method used for deficient RC columns available in published literature. This study also intends to present the variables which have considerable influence on the strength and behaviour enhancement of the deficient RC columns for this structural local strengthening technique.

Keywords: Steel jacketing, Angles, Strips, Columns, Strength, Ductility, Confinement.

Abstract: Bio-lubricant was produced via double transesterification process of Jatropha oil with Ethylene Glycol as a polyol in the presence of potassium hydroxide catalyst. Response Surface Methodology (RSM) using Central Composite Design (CCD) was performed by Design expert v10 software to determine the optimum operating conditions for bio-lubricant Lubricity. In this study, the process variables optimized were temperature, catalyst concentration and reaction time. From the Analysis Of Variance (ANOVA), the most influential parameter on bio-lubricant production was catalyst concentration. The predicted lubricity was found in good agreement with the experimental value, with coefficient of determination (R2) = 0.9785. The optimum bio-lubricant lubricity of 517.030 was achieved at 2.62 hr reaction time, with 0.95 wt% of catalyst concentration and with temperature of 149.73oC. Major lubricating properties of the product such as: density at 100 ºC, kinematic viscosity at 40 oC, viscosity at 40ºC, viscosity index, and the pour point were found to be: 0.922mg/l, 5.58 mm2/s, 35.8N.s/m2, 169 and -7 oC respectively. The bio-lubricant produced is comparable to the standards commercial lubricants ISO VG-46 for light and industrial gears applications.

Keywords: Bio-lubricant, Jatropha, Double Transesterification, Response Surface Methodology (RSM) and Central Composite Design (CCD)

Abstract: The purpose of this study is to analyze the effect of organizational culture and compensation on turnover intention mediated by employee job satisfaction on the employees of insurance companies in Jakarta. Turnover intention needs to be considered by management because it can interfere with the operation of the company. The higher the turnover, the higher the turnover intention of the employees. Organizational culture is a system of disseminating beliefs and values that develop within an organization and directing the behavior of its members. Compensation is the single largest operating cost that has a direct effect on employees to stay in their current organization. Job satisfaction is the emotional state of employees in looking at their job. The data were analyized using Structural Equation Modeling method. By using the object of research on temporary and permanent employees of insurance companies in Jakarta, there were 194 respondents as research sample. The results showed that organizational culture and compensation had positive effect on job satisfaction, so the high organizational culture and compensation could improve job satisfaction in the organization. Compensation had an effect on turnover intention. As well as job satisfaction could be able to mediate the relationship between organizational culture and compensation on turnover intention, as the higher the level of job satisfaction, the lower the turnover intention of the employees.

Keywords: Organizational Culture, Compensation, Job Satisfaction, and Turnover intention

Abstract: This paper presents the performance, combustion and emission characteristics of a bio-oil obtained from Annona squamosa oil seed which is available across all over India. Pyrolysis was carried out between 450○C and 550○C under semi-batch type reactor for the production of Annona squamosa seed cake oil. The yield of the Annona squamosa seed cake oil was found to be about 40% at an optimum temperature of 500○C. The pyrolysis oil was also characterized for its suitability of using it as an alternative fuel for internal combustion engines. The combustion, performance, and emission behaviour of the diesel engine operated with the different Annona squamosa seed cake oil-diesel blends were assessed and compared with those of diesel operation at different loads. The results indicated that the engine brake thermal efficiency was increased by about 27% for Annona squamosa seed cake oil-diesel blend of 20 percentage operation from no load to full load operation in comparison to diesel. The Brake specific energy consumption gets decreased by 20% for the B20 blend ratio compared to the diesel at full load condition. As the Annona squamosa seed cake oil -diesel blend ratio increases, the lower NO emission was found to be about 28% for B20, in comparison with diesel at full load condition. From the obtained results, it is suggested that the 20% Annona squamosa seed cake biooil blend can be considered as a potential candidate to be used as a fuel in compression ignition engines.

Keywords: Annona Squamosa, Seed, Pyrolysis, Brake Thermal Efficiency (BTE), Brake Specific Energy Consumption (BSEC), NO Emission

Abstract: Traditionally, music was treated as an analogue signal and was generated manually. In recent years, music is conspicuous to technology which can generate a suite of music automatically without any human intervention. To accomplish this task, we need to overcome some technical challenges which are discussed descriptively in this paper. A brief introduction about music and its components is provided in the paper along with the citation and analysis of related work accomplished by different authors in this domain. Main objective of this paper is to propose an algorithm which can be used to generate musical notes using Recurrent Neural Networks (RNN), principally Long Short-Term Memory (LSTM) networks. A model is designed to execute this algorithm where data is represented with the help of Musical Instrument Digital Interface (MIDI) file format for easier access and better understanding. Preprocessing of data before feeding it into the model, revealing methods to read, process and prepare MIDI files for input are also discussed. The model used in this paper is used to learn the sequences of polyphonic musical notes over a single-layered LSTM network. The model must have the potential to recall past details of a musical sequence and its structure for better learning. Description of layered architecture used in LSTM model and its intertwining connections to develop a neural network is presented in this work. This paper imparts a peek view of distributions of weights and biases in every layer of the model along with a precise representation of losses and accuracy at each step and batches. When the model was thoroughly analyzed, it produced stellar results in composing new melodies.

Keywords: Music, Melodies, RNN, LSTM, Neural Network, MIDI

Abstract: This study discusses the importance of Quality Management System implementation in Mexico Cleaning Services which is located in the Kingdom Of Bahrain in terms of six variables which are (general cleaning, provision of labor services, labor productivity, performance, employee behavior and operational cost/expense) , where the Quality Management System is an important element to any successful company. The study underscores the impacts of these six variables on implementing Quality Management System in Mexico Cleaning Services, and the research shows how Mexico Cleaning Services or any other organization need to implement Quality Management system. The study demonstrated that in order to improve the overall performance, labor productivity, employee behavior and minimizing operational costs companies should implement Quality Management System. The study used the quantitative research method and the populations based were used as a main tool to collect the primary data with total of 156 respondents (150 employees and 6 top management). Finally, suggesting recommendations based on the findings of the study are presented.

Keywords: Quality management system, Labor Productivity, Performance, Employee Behavior and Operational Costs/Expenses

Abstract: Extreme Learning Machine is a fast single layer feed forward neural network for real valued classification. It suffers from the problem of instability and over fitting. Extreme Learning Machine (ELM) has recently emerged as a fast classifier giving good performance. Voting based Extreme Learning Machine; VELM reduces this performance variation in Extreme Learning Machine by employing majority voting based ensembling technique. Circular-Complex Extreme Learning Machine (CC-ELM) is recently proposed complex variant of ELM which has fully complex activation function. It has been shown that CC-ELM outperforms real valued and other complex valued classifiers. In both CCELM & ELM parameters between input and hidden layer are initialized randomly and the weights between hidden and output layer are obtained analytically. Due to this randomization, the performance of both ELM & CC-ELM fluctuates. In this paper, performance fluctuation due to random parameter of CC-ELM and the circular transformation function have been analyzed first, then by using an Ensemble approach namely Bagging, a variants Bagging.C1 is proposed to bring the stability in the performance of CC-ELM. In Bagging.C1 various data samples are generated by using random parameters of circular transformation function. This work further proposes and evaluates Voting based Extreme Learning Machine with Accuracy based ensemble Pruning, VELM_AP. VELM_AP generates component classifier in the same way as VELM. Performance of proposed classifier ensemble is evaluated using a set of benchmark real-valued classification problems from the University of California, Irvine machine learning repository.

Keywords: Classification, Complex-Valued Neural Networks, Extreme Learning Machine, Ensemble Pruning

Abstract: Various vibrations occur in vehicles, which are generated by the vehicle's equipment or by the road itself. Several studies have been carried out on the investigation of vibrations in passenger cars or different purpose trucks, but there is little literature available on the analysis of special superstructure vehicles such as fire trucks. During our research therefore a simulation model for analyzing the vibrations of a double-cabin special fire truck was created. The main purpose of our research is investigating their effects on people traveling in fire-fighting vehicles. In this paper the developed model and the computer simulation using it is presented. With our results we want to draw the attention to the importance of the topic and to help the safe operation of fire-fighting vehicles.

Keywords: Double cabin fire truck, firefighter crew, vibrations, numerical simulation

Abstract: This paper is concerning a home security system based on the Internet of Things (IoT) for providing smart security features as well as automated controls to a house to convert it into a "Smart Home". It uses the inexpensive but powerful microcontroller ESP-01 with Wi-Fi capabilities to control the entire house with the help of a mobile phone having internet access and another microcontroller Atmega328P to control the sensors and actuators in the house. A Thingspeak global web server is used for the storage of data. The hardware uses an infrared sensor along with a Reed switch to detect presence at the front door and monitor the status of the door. Infrared sensors are placed on the inside doors to keep a count of people in a particular room. The model house consists of motorized doors and windows which can be controlled via mobile or automatically from theAtmega328P. The house also consists of relays for switching appliances and a buzzer for alerting the user in a variety of situations. Additionally, there are DHT11 temperature and humidity sensor, MQ2 gas sensor and an LDR to monitor various environmental parameters of the rooms. These sensors give live feeds of temperature, humidity and brightness and alert the user in case of gas leakage. There is a smart monitoring system which switches appliances in any room depending on the number of people present in that room as well as the specific brightness of the room.

Keywords: Internet of Things, Thingspeak, Home Security, MIT App Inventor, Atmega328P, ESP01

Abstract: The present study is focused on assessment and analysis of spatio-temporal variation of rainfall during last three decades (1986-2018). Rainfall data of eight rain gauge stations in North district, Sikkim have been considered for analysing. Study of rainfall depth shows that it is ranging from 925 mm. to 3389 mm and ten nos. zoned has been identified. Coefficient variation (CV) of annual rainfall varies from 11.95% to 42.00% whereas the CVs of monsoonal rainfall vary from 14.87% to 49.46% which reveals that the monsoonal variability is higher than the annual variability. Rain erosivity map shows that the highest rain erosivity zone occurs in the south-eastern and southern part of the study area. There is great variation in monthly rainfall in different year and it is ranging between 100 percent negative deviation and 131% positive deviation from normal monthly rainfall.

Keywords: Rainfall, Variation, Spatio-Temporal, Rainfall Depth

Abstract: The institutions of higher education now consider a key aspect in the development of educational reality in Iraq, and the focus of Iraqi universities and higher education institutions is nowadays, directed to enhance the learning environment for better learning opportunity of their students. With the information and communication technology era, we have a greater chance to make a whole new learning generation by creating intelligent electronic learning platforms that have a great impact on advancing students' educational level. In this research, we use one of the most well-known yet important artificial intelligence methods; one of them is called Educational Data Mining (EDM). That will be directed to extract hidden knowledge based on a pre-determined dataset from each student's learning behaviour inside a proposed electronic learning platform which is designed especially for higher education studies, the Department of Computer Science. Data repository contains all students' information. For example, age, country, university, previous occupation, and their grades obtained during the course, their learning behaviour, what course they choose, how many times did they re-take the exam until they pass, how many of them complete the course and how many of them have the course drooped. All these data are extracted after the proposed platform has been launched to a public website and used by actual students of higher education studies, then their learning data are kept in electronic learning repository to be used later to discover the most influencing factors about their learning process. For that purpose, two main questionaries' have been taken place, first one is taken prior the platform launching, and the second one taken after the platform launching and using by the students, the audience of the questionnaire were 100 students and faculty members in the institution of higher education, after the learning data have been accumulated, we use Multi Layer Perceptron (MLP) algorithm to evaluate the proposed e-learning platform performance to predict the most influencing factors in evaluating the proposed e-learning platform.

Keywords: Higher Education, Information Technology, Artificial Intelligence, Educational Data Mining (EDM), E-Learning Platform, Learning Behaviour, Multilayer Perceptron Algorithm (MLP)

Abstract: This review paper examines the prior studies on critical factors of e-learning adoption in Nigeria. The search terms identified 40 papers reporting 25 conceptual and qualitative and 15 quantitative evidence about the e-learning adoption and critical factors that may influence the adoption of e-learning in Nigeria. The findings revealed that modern paradigm shift requires the in-depth analysis of government policies, institutional and management role, students and faculty attitude, social norms, cultural values as well as technological advancement. These factors may directly or indirectly affect the intention of students towards e-learning adoption. The lack of quantitative evidences illustrate that policy makers, practitioners and researchers need to pay attention for further research of identifying and analyzing the critical factors which enhances the e-learning adoption in Nigeria.

Keywords: Influential Factors to E-Learning Adoption, Previous Studies on EL Adoption

Abstract: The total to selective extinction law in optical and near-IR wavelengths for twenty young open star clusters namely Berkeley 7, Collinder 69, Hogg 10, NGC 2362, Czernik 43, NGC 6530, NGC 6871, Bochum 10, Haffner 18, IC 4996, NGC 2384, NGC 6193, NGC 6618, NGC 7160, Collinder 232, Haffner 19, NGC 2401, NGC 6231, NGC 6823, NGC 7380 have been studied. It is found that fifteen clusters follow normal extinction law and five clusters show an anomalous behavior.

Keywords: Star cluster: Reddening, interstellar dust- Interstellar extinction

Abstract: Experience of the developed countries of the world and Azerbaijan on providing of consumers with heat supply has been studied main stages of heat power economy development of big cities have been considered. Dynamics of heat consumption in the cities of Azerbaijan has been presented. While analyzing functioning of heat power economy criteria (indices) of efficiency have been used and generalized indices of efficiency of joint stock company have been presented.

Keywords: Heat Power Economy, Development, City, Consumer, Heat Supply, Development Of The Countries

Abstract: Critical Success Factor (CSF) is necessary in construction industry to achieve its goal. Construction industry in India has shown a significant development in recent years and its effect on environment has also increased. Building projects are becoming more difficult and complex nowadays. The project team is facing unprecedented changes. Building maintenance play an important role compared to other factors in building operation. Also, construction research and development process has various factors which affect its success. The earlier approach to success in the construction industry places great emphasis on the ability to plan and implement projects. In the past, companies completing projects in a timely manner within a stipulated budget and meeting optimum quality have been considered successful companies. Minimizing an importance on management practices and organizational stability, companies with successful project completion have been considered as top-performers. In contrast, other industries insist management practices at a corporate level as an essential element of success. However, the future environment of the construction company will be different due to technological and economic advancements. The critical success factors are considered to improve effectiveness and efficiency of the project. The aim of this study is to identify the critical success factor, analyse them and point out which critical factors are important in stages of construction. Some of the factors are identified as crucial to success of the project.

Keywords: Critical Success Factor (CSF), Client-related factors, Contractor-related factors, Consultant-related factors, Material-related factors, European Union (EU), Key Performance Indicators (KPIs)

Abstract: The current increasing interest in the importance of establishing the concept of environmental architecture in the design of modern buildings, adopting sustainability methods, formed a new challenge for interior designing, putting environmental considerations as top priorities in order to achieve the physical and spiritual needs of the user. Despite the modern tendency in the production of distinct architectural works in its designs, imitating the surrounding ecosystems, it lack in many of its interior design aspects embodying interior spaces that take into account not only the application of environmental determinants from a physical perspective that depends on the use of natural raw materials and attempts to maintain internal thermal performance, but they also lack the psychological comfort and organic communication between their internal spaces and environmental components, which depend on the ecological aspects and the application of modern technology. Hence, we find the importance of studying the criteria of the environmental Interior design.

Keywords: Environmental Interior Design, Sick Building Syndrome (SBS), Sustainability Goals, Embracing Co-Creative Design Processes

Abstract: The stages of formation of end construction product quality, scientific-researches and design - investigation work, production and complication of building cycle, organization of installation and special works, completion of construction product and etc. Have been considered in the article. It has been mentioned that, factors of formation of construction product quality can be combined into three main groups: factors of the production forces, factors of production relations factors in the sphere of organization and management of construction cycle stages.

Keywords: Factors, Stages, Formation, Quality, Construction, Product

Abstract: The most famous transportation system in India and abroad is the railway system. With rapid growth of locomotive systems in modern times the number of accidents happening all around the world is increasing day by day. Thus, there is a strong need for automatic train track monitoring to avoid collisions. This paper is concerning Automatic Train Track Monitoring and Collision Avoidance System. It adds up three new levels of safety, security and convenience to railway locomotive system. With this system installed and running every authorized person can get live information feed of the active railway tracks and the trains which are using it. If by any chance the supervisor at the control station makes any wrong decision which may lead to a collision, the automatic collision avoidance algorithm constantly checks and make sure no collision happens.

Keywords: NodeMCU, Collision Avoidance System, Hall Device, RFID, IoT

Abstract: Due to high population growth, car demand has increased at an alarming rate. This leads to increase in demand for more parking slots, which poses an acute problem, especially, when we are concerned with metro and fairly large cities. A solution to this problem on priority basis is necessary. People should have to cater to the illegal parking aspect as well. This paper deals with the detection of illegal parking and it also helps to identify the vehicles, which are parked in non-parking areas and send information regarding those vehicles to the control office. Thus it is meant for decreasing the number of illegal parking. A Raspberry Pi processor is the main device, which is able to manage the whole task. Advanced techniques of image processing, using Support Vector Machine (SVM) algorithm and Optical Character Recognition (OCR), have been used in the model.

Keywords: Parking Detection, Image Processing, Raspberry Pi, SVM, OCR

Abstract: A simple approach to estimate far-field intensity of index-guiding photonic crystal fibers (PCFs) with given geometrical parameters and wavelength of light is reported. The approach is based on a previously developed simple formulation of the effective cladding indices of the same type of fibers, which is valid in the entire single mode region of such fibers. This region is defined by a prescribed upper limit of a parameter, called relative air-hole diameter. The validity of the approach has already been tested by comparing the results obtained from it with those obtained by other available methods. Since far-field measurements are helpful in characterizing various optical fibers, the far field intensity distribution of the same PCFs is studied here by application of the same formulation. The approach should find wide attention, for its simplicity and easy use, by system designers and users of index-guiding PCFs.

Keywords: Index-Guiding Photonic Crystal Fibers, Effective Cladding Index, Effective Index of Fundamental Guided Mode, Far-Field Intensity

Abstract: Cloud computing means an information technology arrangement where data and software are saved and treated in a reserved data center. In cloud computing, big amount of users 'data are allowed to de collected on cloud server storage for next use, and any computations on stored data will be implemented in the cloud. To keep the stored data that is on the cloud we necessities have to use an encryption system that can do computations on the encrypted data called homomorphic encryption. In this paper, users' data is never kept in the form of plaintext on public cloud and proposed a Secure Cloud Environment Based on Homomorphic Encryption (SCEHE) to develop the security of cloud computing and keeps the client's data by utilizing partial homomorphic encryption ", Elliptic curve cryptography used to generate algorithm's private key then encrypt all user's data by using it, A new algorithm reduces the time of processing, space of storage and make available high security because of its key generated depends on ECC. The use of 64-bit provides enough security to be used in the system.

Keywords: Secure Cloud Environment, Homomorphic Encryption, Elliptic curve Cryptography

Abstract: This study mainly focuses on the role of Angle of Attack (AOA) Sensor and Manuevering Characteristics Augmentation System (MCAS) in a Boeing Max 8 Flights which are involved in the crashes of Lion Air JT610 and Ethiopian Airlines ET302. The flight data recorder readings and other statistical readings of these involved flights is analysed to conclude the role of AOA Sensor and MCAS System. MCAS which is known as Manuevering Characteristics Augmentation System is a sensor based Algorithm which will keep the nose of the plane down depending on the inputs of two or either one of the two AOA Sensors deployed. An in-depth understanding of in-flight MCAS and how it was behaving in both flights, JT610 and ET302, is analysed in this study.

Keywords: AOA Sensor, Manuevering Characteristics Augmentation System (MCAS), Lion air JT610 and Ethiopian air ET302

Abstract: Science and Technology is the central point of development which means we can say that in modern time science & technology have a great image in modern social and economical development. Technology makes any weak in perfect direction Education Technology is the combination of Education & Technology. Education & Technology Both function with same objectives then they convert education Technology. To achieve goal of human education convert into technical and vocational education. Technical education is related with human goal by technology other hand vocational education is governed by skill based syllabus.

Keywords: Technical Education