How old is alan medina from 787 crew

Megan Tempel-Milner. Elaine McSorley-Gerard. Elijah Gross. John Baker. Michael Covington. Robert Easley. Marya Runkle. Michael Carson. John Crites. Emily Dillard. Izora Everson. Jennifer Abbruzzese. Scott Merriman. Sandra Hardeman. Cynthia Hormel. Natalie Mitchell. Aleksandra Biskoup. Jane Richardson. Dyanna McMullen. Terri Mozingo. Dominic Turner. Tricia Jacobs. Shawna LeBlond. Haytham Abdulhamid. John Contreras. Gregory Baldwin. Clinton Page. Stephen Wilkins. Alleghany County Public Schools.

Superintendent: Kimberly K. Halterman Phone: Fax: Website. Kimberly K. Keven Rice. Fred C. Vaughan Jr. Jason B. Sherman B. Dwayne E. Carolyn S. Lori W. Cathy C. Debbie K. Melissa Borduas. Lorie C. Debra P. Tamyra W. Marion A. Roseanne West. Lucas C. Eric Tyree.

Matthew Paxton. Amelia County Public Schools. Lorena Harper Phone: Fax: Website. Lorena Harper. Carly Bullock. Bronson Lynch. Janiel Medley. Cynthia Reasoner. Megan Hathaway. Megan Boidock. Sherry Pettis. Melissa Costley. Jason Cubbage. Amherst County Public Schools. Robert Arnold Phone: Fax: Website. Robert Arnold. William Wells. James Gallagher. Catherine Lindsay. Natalia Cecil.

Sharon Thomas. Dana Norman. Teresa C Crouch. Wanda Smith. Kimberly Klein. Luke Saechao. Marie Petrone. Kevin Harrison. Stephanie Moehlenkamp. Craig M Maddox. Marvin McGinnis. Joshua Neighbors.

Joe Goldman. Robin Wheeler. Rhonda Campbell. Appomattox County Public Schools. Annette A. Bennett Phone: Fax: Website. Amy D Huskin. Carrington W Pritchard. Mathew D. April G Johnson. Charla M Curtis. Bruce R McMillan. Tracy Johnson. Cheryl J Servis. Deborah Knight. Matthew H Wallin. Cortnie R King. Mary L Sherry. Stephanie G Walsh. Phillip G. Amos Jr. Jayne Enochs. Arlington County Public Schools. Mailing address: Washington Blvd.

Arlington, VA Francisco Duran. Cintia Johnson. John Chadwick. Catherine Lin. Marcus Gregory. Leslie Peterson. Dan Redding. Raj Adusumilli. Catherine Ashby. Kris Martini. Sarah Putnam. Wendy Pilch. Girish Rajput. Jonathan Turrisi. David Blorstad. Amy Maclosky. James Meikle. Arthur Bell. Jeannette Allen. Tyrone Byrd. Laura Newton. Erin Wales-Smith. Terance Proctor. Kimberly Wilks. Brianna Cobbins. Lisa Stengle. Michael Frickel. Diane Hellmuth. Betty Schwoebel-Mills.

Lisa M. Kristin Devaney. Kristin Haldeman. Ricardo A Sorto. Mary Beth Pelosky. Rosalita Santiago. Kelley Hyner. Heather Rothenbuescher.

Adora Aldana. Barbara Fisher. Brandon Christian. Amanda Villatoro. Matt Smith. Natalia Rios Benefiel. Emily Becketti. Alvera Wilson. Mike Freda. Kathy Clingenpeel. Kimberley Graves. John Mayo. Melanie Elliott.

Raul Matos. Darlene Carr-Greene. Shauna Corbin. Corey Dotson. Carolina Sorto. Gabriela Sandoz. Leticia Macias. Karin Beecroft. James Cleveland. Nichole Anderson.

Britney Olanrewaju. Yeni Ruiz. Paul McCabe. Nora Cuellar-Leigue. Ashey Deljo. Bob Weaver. Bridgett Doles. Eileen Conoboy. Phyllis Gandy. Samuel Klein. Lori Silver. Pam Farrell. Cheryl McCullough. Debbie DeFranco. Sue Sarber. Wendy Carria. Dat Le. Elisabeth Harrington. Hung Do. Brian Stockton. Augusta County Public Schools. Eric W. Bond Phone: Fax: Website.

Mark E. Gregory B. Forrest O. Carl Brooks. Michael Howdyshell. Frank Walters. Angela L. Michael Tetto. Amy Taylor Rexrode. Bath County Public Schools. Superintendent: Mrs. Sue F. Hirsh Phone: Fax: Website. Street address: Sam Snead Hwy. Jane Hall. Sharon Fry. Allison Hicklin. Justin Rider. Tammy Lindsay. Debbie Swearengin. Mark Hall. Patricia Shifflett. Bedford County Public Schools.

Superintendent: Position Vacant Phone: Website. Mailing address: S. Bridge St P. Box Bedford, VA Beth Robertson. Edward A. Karen Woodford. Randy Hagler. Ryan L. Sara S. Mark S. Karen D. Patricia D. Frederick M. Duis Jr. Bland County Public Schools. David Scott Meade. Kelli Sarver. Cyndi Walters. Lenore Parker. Beth Cochran. Laura H.

Denise Tate. Mike Shelton. Botetourt County Public Schools. Jonathan Russ Phone: Fax: Website. Jonathan Russ. Janet Womack. Brandon Lee. Andy Dewease. Julie A. Beth Allen. Luann Delosreyes. Kristoefer Clegg. Debra Mayo. Emily Shafer. Brenda Bartee.

JoAnn Dester. Robert K. Michael A. Deborah Nemec. Karen Turner. Bristol Public Schools. Keith Perrigan Phone: Fax: Website. Keith Perrigan. Gary Ritchie. Megan de Nobriga. Tammy Jones. Jennifer Hurt. Bill Buckles. Jeff Shelton. Carla Arnold.

Serena Cook. Amy Stewart. Gabriella R Horton. Tim Duncan. Tracey Dingus. Kelley Crider. Kerri Malcolm. Stephanie Austin. Kathy D. Darlene Becker. Carmen Harper. Angel Hudson. Wendy Hall. Leeah Parks. Brunswick County Public Schools. Kristy Somerville-Midgette. Tracey Rogers. Krystle Pearson. Leorie K. Tiffeney A Brown. Karen Riddick. Sherita Smith. Amy C. Dawn Jones. Freeman D. Deborah H. Denise J. Marion H. Mary Lewis.

Buchanan County Public Schools. Melanie L. Hibbitts Phone: Fax: Website. Sherry M. Becky Harrison. Lauralee Jackson. Jerry Coleman. Josh McCoy. Greg Rife. Carolyn Dillow. Cheryl Tester. Melinda Skeens. Randolph Scott Embrey. Buckingham County Public Schools. Daisy M. Hicks Phone: Fax: Website. Street address: West James Anderson Rd. Buckingham, VA Mailing address: West James Anderson Rd.

Emily Hogge. Ronnie Palmore. Robin Scharer. Julie David. Candice Dowse. Sherry Saunders. Amy Scott. Brenda Bolden. Wendy Oliver. Lisha Robinson. Britney Richardson. Melissa Hanes. Joan Shumaker. Buena Vista Public Schools. Tony Francis Phone: Fax: Website. Street address: Chestnut Ave. Mailing address: Chestnut Ave. Tony Francis. Gennifer Miller. Juliet Gibson. Learning objectives are developed in the form of measurable and specific abilities that describe student behavior.

In particular, the learning design components include; a Analysis of characteristics and curriculum elements; b Learning objectives or competencies to be achieved; c Essential material; d Learning Process, and e Learning Evaluation. The Implementation Model is carried out through learning syntax, namely: orientation, general exploration, learning techniques, investigation, evaluation, and follow-up. Group learning model, in which students learn individually to collaborate in the first group after completing the second group, after the second group rejoining the first group.

Research was carried out in the most important scientific research databases. The impact on business activities is tremendous, and stringent government policy and response to curb the disease are necessary. SMEs are more vulnerable to internal and external events and depend on the capacity of their owner-manager to run the businesses.

The Coronavirus is already considered a factor that requires attention on the behalf of Mexican companies. The normality of is not going to return, and Mexico has a fragile economy and a low-budget health system. The SME supply chains contain many links. At the moment of being struck by a crisis such as the present one, we are experiencing that disruption is likely to occur at the weakest link.

Supply chain resilience is the adaptive capacity to prepare for unexpected events, respond to disruption, and recover. A Mexican SME that wishes to be resilient must know all the risks that can affect it. An opportunity for SMEs due to the coronavirus refers to the possibility for continuous innovation through the development of new or better products, processes, and business models.

The authors attempt to prove that with growing availability of LiDAR surveying methods the resulted 3D city models become the most significant modeled features for any urban environment. Our paper represents the conceptual multifunctional approach within the AFE frameworks, that has been introduced through consequent steps of the phased methodological flowchart with its two branches: High Polyhedral Modeling HPM and the Low Polyhedral Modeling LPM of buildings.

Both branches result in the heavyweight models, and in the lightweight ones, correspondingly. The research purpose of this paper is to outline our multifunctional approach functionalities of Building Extraction, Building Extraction in Rural Areas, Change Detection, and Digital Elevation Model Generation to the fully automated extraction of urban features, and present our original contributions to the relevant algorithmic solutions within both HPM, and LPM pipelines, as well as represent desktop, web-, and cloud-based software elaborated for these intentions.

Original enhancements and optimizations of the adopted AFE-techniques have been bounded to the phases of the methodological flowchart, while some derivative results have been presented not only as the software description, but also in the discussion chapter.

Joint implementation of various functionalities in a web-based application the Server is presented with several interface samples of research in urban block and district scopes, while a cloud-based application the Geoportal is an Internet-toolbox for solutions in the scope of a whole city. The paper is aimed as a concise and relatively self-contained description of the educational environment TOST, used in teaching and learning Operating Systems basics such as Processes, Multiprogramming, Timesharing, Scheduling strategies, and Memory management.

The presented integrated environment allows the students to develop and run programs in two simple programming languages, and at the same time, the data in the main system tables can be monitored. The paper consists of a description of TOST system, the features of the built-in programming languages, and demonstrations of teaching the basic Operating Systems principles. In addition, some of the well-known concurrent processing problems are solved to illustrate TOST usage in parallel programming teaching.

Technology is advancing faster today than ever before with evidence of its impact in all facets of our lives. With the spread of the novel COVID pandemic across the world, schools were closed as part of lockdown measures to contain the virus thereby disrupting academic curricula.

Academic institutions leveraged ICTs to virtually engage students and teachers. Technology adoption will become a new reality for teaching and learning processes. The objective of this study is to find topical and relevant studies that have been conducted on technology adoption in education.

A systematic literature review was adopted to classify and evaluate articles that fits pre-specified selection criteria using Google Scholar and IEEE databases. Current research highlights the trends in technology adoption and provide empirical evidence of applications that have been used to implement technology in educational settings. This research also adds to new literature on COVID in relation to its effect on academic curriculum across the world.

Future research will investigate areas that can be expanded and improved on to leverage the benefits of ICTs to limit the adverse impact on the performance of teachers and students in the event of a disruption to academic activities.

It is necessary to understand the usage and modifications that have been made to Technology Acceptance Model TAM since user acceptance and confidence are of great importance for advance improvement and successful implementation of any new technology. Numerous frameworks and models have been designed and created to describe user acceptance of modern innovations. These models introduced factors that contribute towards user acceptance.

This is a review paper on understanding the usage, modifications, limitations, and criticisms of Technology Acceptance Model TAM. The model has been utilized to measure new different technologies for usage as well as adoption. The literature indicates that the modification of the model was mostly the addition or removal of variables and in some cases the addition of moderators or mediators. The model has limitations identified in literature such as the problem of reliably quantifying behaviour in an observed investigation.

TAM will continue to be accepted and modified according to the successful application of any new technology. The main advantage of software-defined visible light communication VLC systems is that they allow us to reuse modulation, coding, synchronization and medium access techniques used in conventional radio systems. This article focuses on the implementation of an uplink alternative using an infrared IR light communication system. For this goal, analog front-ends are designed and implemented.

Therefore, they convert a radio frequency signal into an optical signal. The obtained bit error rate is 5. An experimental study regarding structural strengthening of existing reinforced concrete footing was conducted on six full scale reinforced concrete footings, strengthened with concrete jacketing under concentric and eccentric loads. The footings had constant dimensions and flexural steel reinforcement which was designed to prevent brittle failure due to crushing of concrete before steel yielding.

Concrete jacketing was installed on all sides and top of existing concrete for footings subjected to concentric loading, while concrete jacketing was installed on three sides and top of existing concrete for footings under eccentric loading.

The bonding between the existing and the new concrete was done either by applying epoxy bonding with dowels or by using an epoxy bonding agent on all sides only. This was to investigate the effect of each strengthening technique on the stress distribution beneath reinforced concrete footings rested on cohesionless soil.

The dowels were used and designed to prevent any premature shear failure. The results also showed that the contact stress distribution beneath control and strengthened footings were not consistent with the available theoretical solutions.

The effect of using dowels, in connecting old and new concrete, on stress distribution under strengthened footings and load-carrying are presented. Finger skills are achieved through the training process. This training process will be more straightforward if a training system is used. A novel finger motoric training system is introduced in this paper.

This system is to facilitate a beginner piano player to learn the basic piano skill. The system is comprised of a tracking finger sensor, a personal computer, and multimedia feedback. Subjects train with passive and active mode. While the information which fingers have to tap are provided by visual, audio, and enhanced with electrical haptic sensation. The experimental results demonstrate that the system equipped with electro-tactile feedback makes the subjects more responsive to both modes.

Moreover, this system enabled the user to accelerate learning a new skill. A happy employee with high morale is the best asset of an organization. The morale of an individual working in an organization can be impacted by both positive and negative ways by physical environment factors of the workplace. The physical environment of an organization impacts a lot on the work performance of an individual. It becomes more significant in case of aviation maintenance organization formally called Maintenance Repair and Overhaul MRO organization as the work performed by an individual requires full accuracy and directly linked with the safety of the aircraft and its occupants.

This can only be achieved by providing a safe and positive working atmosphere to individuals working in MROs. Considering the same, this study targets to deliver a brief status report of physical environment factors disturbing work performance in Maintenance Repair Overhaul MRO agencies. This study initially explains the impact of different physical environment factors. The study also discusses the impact of unsafe work due to improper working environment in aircraft maintenance organizations.

This case study aims to provide the status of different physical environment factor of organization causing problems at work for individuals working in aircraft maintenance organizations. The result of the study indicated that MROs in UAE are providing a conducive working atmosphere to employees, however, the lack of workplace is still an area for improvement. This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data.

Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in the real social world and quantifying public opinion fluctuations in response to certain socio-political issues. The validity of the experimental results was examined by comparing them with data obtained from representative surveys, thus providing a better understanding of the relationships between online and offline opinion dynamics.

This contribution is intended to be multidisciplinary, both useful for policymakers and opinion analysts to explore public trends and to inquire into socio-political issues. The prospects for the introduction of assembly automation in the industry are largely determined by the reliability of the assembly process.

One of the reasons for reducing its reliability is parts jamming. In order to increase the technological reliability of the assembly process, various physical and technical effects are applied.

The article presents the results of an experimental study using the rotational movement effect and low-frequency vibrations of the base part in order to reduce assembly efforts and the probability of part jamming. The Tin Oxide: Vanadium SnO2: V thin films have been deposited on glass substrates with various Vanadium concentration at a substrate temperature;oC using microprocessor-controlled spray pyrolysis technique.

The XRD analysis shows tetragonal rutile structure formation in lattice configuration of virgin and Vanadium doped SnO2 thin films. This also validates the strong force constant for the consistent crystal structure. In the present paper, a universal approach for determining the maximum flow problem in directed graph for solving different problems is applied. It can be considered as a heuristic and it can be used as a denomination for analyzing an arbitrary system with a mathematical description as a directed graph.

The physical nature of the flows passing through the arcs of the system considered can be energy, information, transportation, or material. Then the studied system will be power, communication, transport, or manufacturing, respectively. In the present article five types of maximum flow problems are considered. Each of them is solved analytically by the universal heuristic method. The common between these problems is expressed in the fact that its behavior can be presented with the same mathematical model in the form of a directed graph including one initial pending vertex and one final blocked vertex, respectively.

Nowadays, smartphones and laptops equipped with cameras have become an integral part of our daily lives. The pervasive use of cameras enables the collection of an enormous amount of data, which can be easily extracted through video images processing. Collected data are potentially useful to support user experience assessment of web-based applications in the wild and to improve the effectiveness of e-commerce recommendation systems.

The fast-paced development of smart technologies and the prevalence of vehicles, created an urgent demands to study and improve safety issues related to driving.

In order to reduce traffic accidents, driving behavior was found to be very important issues to study and investigate. Recently, the advent and widespread of smartphone platforms with advanced computing competence and embedment of a variety sensing elements have greatly contributed to the development of solutions that can detect, and evaluate driving behavior and skills.

In this study the development of a real-time smartphone-based identification and classification system for highway driving maneuvers is presented. The proposed system has been designed to detect ten different maneuvers usually performed by drivers when driving on highways.

The methodology is based on separating the identification and the classification processes. The identification process is performed by a hybrid pattern matching scheme that combines Dynamic Time Warping DTW and neural networks.

While a second neural network has been used to classify maneuvers, severity based statistical and time features. Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry.

Based on that background we want to measure how much influence the quality of services provided by the Online Marketplace to customers has an impact on customer satisfaction and customer loyalty.

The measurement method used is to use E-Service Quality, to determine customer satisfaction Customer Satisfaction and determine the level of customer loyalty Customer Loyalty. This research uses a quantitative approach and uses random sampling techniques.

Data collection using a questionnaire with data samples totaling respondents. The results of this study indicate that there is a significant relationship between E-Service Quality, Customer Satisfaction and Customer Loyalty to customers that increase customer online shopping transactions so that companies are able to compete with other companies.

Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is a challenging task. While practical propagation evaluation has been prohibitively expensive, the theoretical modeling results have been less accurate.

While Deygout 94 prediction accuracy was higher with mean absolute error MAE at 0. The performance of indoor illumination control in many applications, such as in an intelligent building, relies on the quality of the light sensors. In many cases, the light level is not uniform and depends on the direction of the illumination source.

It usually requires multiple sensors set up in different directions to gather the overall light level. We propose a system that can provide multi-directional light sensing data by rotating a single sensor.

This approach overcomes the problem of static sensors network by dynamically changing the measuring angular of the light sensor. We present a sensor system prototype using the ESP controller board, BH light sensor, stepper motor, and 3D printed rotation base mechanism. The system can calculate the sensing angle and transmit sensing data to the monitoring unit or Internet of Things platforms for visualization and analysis.

The testing results in normal workrooms show that the rotating sensor can measure the light level in different directions and detect the direction of the main illumination source. Even blocking some directions, the sensor still is able to accurately measure and provide sensing information on the remaining directions. Our sensor system is useful in both whole lighting and local lighting control applications.

Comparing to other types of vehicle accidents, fatality rate of tipped rollover accidents shows significant number. Thus, tripped rollover prevention systems are important in order to keep driver safe. In other hands, different rollover indices are defined to handle the risk. The variable unknown parameters of each index, for instance, current load of the vehicle or center of gravity, are considered as a difficulty.

In this work, the recurrent neural networks, which are designed to work on sequential data in order to provide data estimation without additional estimation algorithm, are investigated in purpose to estimate the tripped and untripped rollover index.

The vehicle simulation software with industrial standard CarSim is applied to validate the result. The Tanh recurrent neural network is stated in the result to be the most accurate tripped rollover index estimator for the uncertain parameters, for example, sprung mass and the height of the center of gravity. The suitable input features for tripped and untripped rollover index and neural network structure are verified. To prevent and provide warning of rollover, an advance future prediction can also be designed for the future tripped and untripped rollover prediction.

One of the biggest business problems of marketers, is to optimize the return on investments of direct Marketing campaign. This main purpose which can only be ensured by targeting the appropriate customer. The main challenge faced by companies when advertising, is to configure properly a campaign, by choosing the right target, so A high user acceptance rate is ensured to advertisements. However, when dealing with an important size of data, the important specification to consider is the combinatorial aspect of the problem and the limitation of the approach based on mathematical programming methods.

In this work, and considering the optimization of targeting offers as an of NP-hard problems, we concluded that the use of a meta heuristic algorithm is more suitable to use a classical exact method. We choice to use an improved bat Algorithm hybridized with Genetic Algorithm. The results of computational experiments confirmed that the proposed algorithm gives competitive results.

Every system has his own frameworks and best practices for efficient management. IT Governance is the ability to control IT strategy implementation by ensuring business and IT alignment for profitable digital services. Also, the variety of IT Governance frameworks for each hierarchical level in the enterprise, should be efficiently deployed together in order to have coherent recommendations for IS, OS and DS users.

We based the proposed IT GRC smart adviser on artificial intelligence and knowledge management as technical axes.

This article presents, IT Governance frameworks, their matching problems and related works. Then it proposes a smart architecture with new functionalities to match COBIT processes with other frameworks in order to cover different management levels. The technical contribution of this article is to propose and implement an IT GRC smart adviser based on many frameworks and best practices to optimize and improve IT Strategies.

In order to balance the power in intelligent distribution networks Smart Grid or Microgrid , it is proposed to organize a «multi operated virtual power plant». The resources of active and reactive power for which can be obtained using an AC voltage controller with a phase-angle control for regulation of operating modes of the ohmic load of consumers, for example, distributed systems of electric space heating or electric water heating, etc.

A method is proposed and the results of the analysis of the phase-angle control modes by gate turn off GTO thyristors of the AC voltage regulator, which provides the generation of virtual reactive power by consumers of active power, are presented.

The process equipment of such a virtual power plant is fully suitable both for the dynamic production of a virtual resource of active power to balance, for example, the power of dynamic distributed renewable energy sources virtual power plant VPP mode , and to regulate reactive power to ensure adequate voltage levels and increase stock stability of operation of electric load units virtual reactive power plant VRPP mode.

References 24, figures 8. Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue.

Hence, in this work, the impact of power quality issues in a distribution system integrated with the wind generation system is studied in the uses of a shunt active power filter SAPF and presence of non-linear load conditions. The realization of SAPF is carried out using active power component theory APCT for reference current extraction, proportional-integral PI controller, and fuzzy logic controller FLC for dc-link voltage regulation and a basic hysteresis band current controller method for the extraction of switching pulse for operational the inverter.

To enhance power quality in the proposed system, a modified fuzzy logic-controlled MFLC is developed to improve the transient performance of shunt APF. The proposed model is developed in MATLAB and results are given so as to show the presentation of the performance of this compensation technique in terms of mitigation of system harmonics, reactive power compensation, and enhancing the power factor.

Learning styles studies have been discussed widely in academic field. It can be considered as a factor that contributes to the achievement of the students in their learning because everyone has a unique learning style when learning. In this paper, we aimed to examine the association of learning styles and attitude towards academic achievement. Sample data were collected among pre-university science and engineering students using cross-sectional survey.

Data were analysed using Stata statistical tool to examine the result. Result showed that there was no association of learning styles and attitude towards academic achievement in this study. Video and its processing are an interesting area as the increase in usage of internet videos, online streaming, CCTV, impact of internet on normal crowd increased.

The need to know about video and its processing become an eminent area in research in current era. The paper tries to cover the traditional video processing, the advancement in video codec from the initial year, its origin, features, drawbacks and advancement lead to next stage.

It provides an insight to need of video compression, steps involved in it, followed by overall review about video compression in various areas. The detailed explanation with reason of emergence, origin, characteristics are pointed. This information helps to add knowledge about the past and that helps to focus on the advancement and transitions that can be done to the video codecs.

This paper is an extension of work originally presented in PM2. Distributed and decentralized systems, recently, have been proven for their effectiveness in multiple perspectives. Overmind also empowers feature transfer learning with data preservation. It demonstrates how discovered features are transferred and shared among synergic agents in the network. This model is tested and evaluated the accuracy against the traditional single machine learning prediction model in the original work.

The results are satisfactory in both prediction performance and transfer learning. Mobile wallet is an application that allows users to make online payments using their mobile phones. The current study assesses the factors impact on the intention to use the mobile wallet, focusing on understanding the relationship of promotion with common factors in technology adoption research such as perceived risk, perceived usefulness, habits, social influences.

The research results also show the direct and indirect effects of promotion on intent to use. From this result, 7 of 9 research hypotheses were accepted.

Promotion, often overlooked by researchers, has been proven to be a critical factor when researching technology adoption because it significantly improves the level of intentional interpretation of the research model. This study will be the premise for future researches when studying adoption technology, researchers could integrate promotion to the model to achieve a significant improvement in the level of interpretation as showed in this study.

Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. Output signal responses indicate that the complex order controller attains the desired surface roughness set point with zero percent overshoot in almost same settling time 46 sec as PID 41 sec and FOPID 46 sec controllers.

Similarly, in case of control signals feed rate the COPID controller successfully minimised peak overshoot to 4. Overshoot elimination in output signal surface roughness is crucial for consistency of the machined surface quality.

Similarly, overshoot minimisation in control signal feed rate is critical because excessive feed rate can damage the cutting tool, work piece, machinery and is a potential safety hazard for the machine operator as well. Hence, the COPID controller can be safely and extensively applied in smart industrial control systems of the future. The ever-growing technology in mobile smartphones has enabled users to store sensitive and private information; as a result, it required the need for an improved security system.

Previous approaches heavily relied on shallow machine learning algorithms that require feature extraction which is time consuming, laborious and can cause, resulting in poor authentication.

In this paper, we propose a deep learning — dense neural network to avoid the limitation of the classical algorithms and build a mobile smartphone touch screen authentication scheme based on keystroke dynamics. A deep learning — dense neural network classifier was trained using keystroke dynamics features extracted from users. A comparative analysis was made between our proposed DNN classifier and some selected classical machine learning algorithms on the keystroke dynamics data.

The data is split into five different data partition of training and testing. Results clearly indicated that the deep learning — dense neural network has eliminated the feature extraction steps required by the classical algorithms and improved the overall authentication accuracy, as such, improved the security of the smartphone device. In addition, it is found that the propose deep learning — dense neural network authentication scheme is more robust than the classical algorithms and has the potential to be fully implemented on smartphone to improve the security system of the mobile smartphone touch screen devices.

Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human emotions based on human face by utilizing a single standalone-based neural network.

The proposed approach outperforms most standalone-based model results with Digital twins act through application programming interfaces to their physical counterparts to monitor, model, and control them. Beyond these traditional functions of digital twins, they must also act to secure their physical counterparts. A multi-model scheme is presented to help digital twins towards the task of securing the physical system. Additionally, this work includes an analysis of more than four hundred thousand tweets each relating to digital twin technology and cybersecurity which were collected during June and July in In the second and larger corpus of collected tweets, the top mentioned industries were health, education, and public.

The study also indicates that cybersecurity tweets are consistently more negative in many areas of sentiment when compared to tweets about the internet of things.

The sentiment findings of cybersecurity tweets will reinforce the need to address culture in cybersecurity posture while the security multi-model schema contributes to the state of the art. Currently, increasing penetration of the Wind Energy Conversion System WECs in Power generation systems has influenced the supply of electrical power reliability for the consumer in comparison with other traditional sources.

The proposed intelligent algorithm which relies on the Population-based Intelligent Search PBIs technique is viewed as a feasible alternative for the Monte Carlo simulation MCS method in the assessment of the non-chronological system.

The benefit of utilizing this algorithm is apparent in the manner it expedites the calculation and achieves greater precision with less calculation effort. Additionally, there is a deeper understanding of the effect of the increasing levels of wind energy on generation adequacy from the WECs sources to satisfy future power electricity demands.

In addition, the effectiveness of the suggested algorithm in assessing the RPAs was compared to the analytical and MCS method. A grid is a system that can manage and organize services and resources that spread amongst different control domains, employ interfaces and protocols, and offer a high quality of services.

MAS is considered a suitable solution for open systems that modify frequently. Grid offers a wide range of resources for its users, and some of these resources might not be used or utilized for some time before any new jobs come to the grid for processing. This accumulated will lead to consuming a considerable amount of electricity for their operation. The ever-increasing usage of grid computing has led to an increase in electrical energy usage by massive servers in their data centers.

In this paper, we have proposed an automated system composed of modern agents that can be used the power wastage resulted from inactive servers inside the data centers for a specific amount of time. The Automated system has been tested and evaluated using the Jade tools.

The results show that the newly proposed method can reduce power wastage for inactive grid resources. Power converters in automotive industries are needed to source electronic devices. DC-DC Buck converter allows to drive loads ensuring their safety operation taking the car battery voltage as an input to generate a sub-voltage or current.

By means of a control loop, the system makes sure that the output variable has the desired value in each operation condition. Whenever the current reaches the reference maximum value by load specs , the system acts to lower it. Intrinsically over-current protection is guaranteed. The paper presents an improvement of the basic PCMC, where, instead of just controlling the peak value, the loop controls also the average, more delicate feature, resulting in a more reliable driver system.

The circuit is able to source 3A average The concept has been designed and simulated on Simulink and then tested on hardware using dSpace, a Rapid Control Prototyping set-up. In recent decades, the challenge of managing the development teams spread across different time zones has become increasingly common, raising the importance of the development of Global Software Development GSD techniques, in order to tackle its particular problems.

The main partner of Sidia is a mobile multinational company located in overseas. The development team must cooperate with the overseas team, even though there are no overlapping working hours between both teams. Besides, the teams have a different set of skills regarding design, quality assurance, and software engineering. Paola Kansas Drummond, Brian E. Austin Texas 14 Duncan, Donald G. Portland Oregon Eames, Oliver D. Oxford Wisconsin Embly, Kristofer J.

Wacousta Michigan Gowing, Donald A. Wacousta Michigan 60 Gowing, Delmar B. Russiaville Indiana Hardesty, Mike D. Dix New York Mt. Pack Hogan, James F. Troop Hutcheson, Robert M. California Troop Ingraham, Robert L. Dillwyn Virginia Jamerson, Wilbur J. Richmond Virginia Janiak, Thomas A. Dodge Iowa Jeanotte, Charles E. Henderson Nevada Jellum, Patrick K. Brush Colorado Johnson, R. Martin Johnson, John T. Norwalk California Jones, Theron A.

Boise Idaho Kellar, Dennis E. Camp Korman, John J. Explorer 16 Krigbaum, Arthur N. Troop 25 Lane, Jerry W. Explorer Leiter, Harold E. Pennsylvania Camp Leland, Edward L. Troop 19 Lemley, Robert C. Petersburg Florida Lynch, Kenneth R. Brunswick Maine Maddock, Terrance J. Troop 26 Maegly, John E. Troop 70 Neufeld, Harold A. Troop Opalinski, Leland St.

Devon Troop Osher, Richard E. Not Applicable Phipps, Walter J. Joseph Missouri 36 Putney, Robert E. Philadelphia Pennsylvania Quick, Richard J. Provo Utah Rickert, Scott A. California Camp Ross, James G.