Academic literature on the topic 'Performance Tracking website'

Abstract Relying on traditional learning methods is insufficient, leaving students feeling lost and unmotivated. The students need guidance and motivation to keep them on track with their academic materials. Students’ lives are filled with challenges that could result in stressful situations that could affect their performance. When students are in a situation where they need to drop some of their courses, they are uninformed about consequences, and it might delay their graduation. After extensive research, through gap analysis and survey, we discovered the demand from students to have a new set of website features for supporting students’ needs. Masarat system developed with the primary objective of offering practical solutions to address challenges that students frequently encounter. It allows creating students study guide that work on collecting their data from academic records to analyze it then presents it as a dashboard where the student's performance will be displayed. It also intends to provide students with a chatbot advisor for answering their academic inquiries. Moreover, the website will introduce options for managing their study plan, academic calendar with notifications, tracking assignment and tasks progress, manage and design their weekly schedule, study environment for increasing their focusing time with soothing sound and tranquil background options. With the help of all these features, it is believed students will be able to experience a unique journey that will unlock their full potential.

In today's fast-paced business landscape, efficient project management is crucial for organizations to achieve optimal productivity and meet strategic objectives. Our project management website offers a robust solution to streamline project management processes and enhance team collaboration. The platform provides comprehensive functionalities, including project and task assignments, real-time progress tracking, and performance evaluation. Key features of our platform include the ability to assign projects and tasks to employees, track the completion status of tasks, securely store project documents directly on the website, generate detailed reports, and evaluate employee performance based on task completion and project outcomes. By centralizing project-related activities within a single digital platform, our solution empowers organizations to optimize resource allocation, improve communication among team members, and monitor project milestones effectively.

The chapter “Conversion Optimization” delves into the process of enhancing a website to boost the likelihood of visitors completing desired actions, such as purchases, form submissions, or newsletter signups. It begins by defining various types of conversions including e-commerce transactions, lead generation, user registrations, and social media engagement, emphasizing the need to understand these conversions for effective optimization. Key Performance Indicators (KPIs) are introduced as essential metrics in assessing conversion success. These include conversion rates, click-through rates (CTR), cost per conversion, bounce rates, average session durations, and customer lifetime value (CLV). Understanding and analyzing these KPIs are crucial for gauging the effectiveness of conversion optimization strategies. The chapter then explores the conversion funnel, a vital concept illustrating the stages a potential customer undergoes before taking a desired action. It covers the four main stages - awareness, interest, consideration, and action - and provides strategies for optimizing each stage to improve conversion rates. This includes enhancing content for awareness, improving user experience (UX) for interest, providing clear information for consideration, and streamlining the conversion process for action. The importance of a positive UX in conversion optimization is highlighted, emphasizing first impressions, reduced friction, trust and credibility, engagement, and mobile responsiveness. Elements of good website design are discussed, such as intuitive navigation, responsive design, page loading speed, clear calls-to-action (CTAs), consistent branding, readable content, user feedback, and loading progress indicators. A/B testing, an essential tool in conversion optimization, is introduced as a method for comparing two versions of a webpage or digital asset to determine which performs better. The chapter presents practical A/B testing scenarios, such as varying CTA button colors, headline variations, form lengths, product image placement, email subject lines, pricing, and ad copy variations. Data analysis is emphasized as key to understanding user behavior and improving the conversion process. Analytics tools are suggested for tracking user behavior, conversion rates, page performance, traffic sources, and user segmentation. The interpretation of this data can pinpoint areas for improvement. Finally, the chapter covers advanced strategies like personalization tactics and AI and machine learning applications in optimization. Personalization involves tailoring content and experiences to individual users, while AI and ML offer predictive analysis, automation, customer segmentation, sentiment analysis, dynamic pricing, and intelligent virtual assistants. In summary, “Conversion Optimization” is a comprehensive guide to enhancing website elements to increase user conversions. It combines theoretical insights with practical strategies and emphasizes the use of data and technology for continuous improvement of the conversion process.

Pay-Per-Click (PPC) advertising is an essential tool in the digital marketing arsenal, offering a dynamic way for businesses to enhance their online presence. It operates on a simple premise: advertisers pay a fee each time one of their ads is clicked. This model is primarily focused on buying visits to a website, contrasting with the organic visit acquisition strategies. PPC advertising is facilitated through various platforms, with Google Ads and Bing Ads being predominant. These platforms enable advertisers to bid on specific keywords relevant to their target audience, with ads appearing in sponsored sections of search engine results or other digital spaces. The intricacies of PPC advertising involve several key components. Keyword bidding is vital, where advertisers select and bid on keywords relevant to their services or products. The ad auction system determines which ads will appear based on factors like bid amount and ad relevance. Ad Rank plays a critical role in this process, as it combines the bid amount, ad quality, and other factors to determine the ad's placement. Crafting compelling ad copy and understanding metrics like Click-Through Rate (CTR) are fundamental for the success of a PPC campaign. PPC is indispensable for modern businesses due to its immediate visibility in search results, targeted advertising capabilities, measurable results, and flexible management options. It allows for rapid response to market changes, precise audience targeting, and detailed tracking of ad performance, making it a powerful strategy for businesses to effectively reach their marketing goals. This introduction to PPC provides an essential foundation for understanding the complexities and benefits of this advertising model, paving the way for successful digital marketing strategies.

The “Mobile Marketing” chapter delves into the pivotal role of mobile devices in the digital marketing landscape, highlighting their ubiquity and impact on consumer behavior. It begins by examining the exponential growth in mobile device usage globally, citing increased accessibility and affordability as key drivers. The chapter emphasizes the shift in consumer behavior, where mobile devices have become the primary access point for information and interaction, leading to a rise in mobilecentric brand engagement and the prevalence of mobile commerce (m-commerce). The chapter discusses the intricate relationship between social media and mobile usage, with a focus on the dominance of visual content optimized for mobile viewing. It also explores the nuances of mobile search patterns and local discovery, underscoring the significance of mobile in personalization, contextualization, and providing instant gratification to consumers. A major segment is dedicated to mobile website optimization, stressing the importance of responsive design, fluid grids, and flexible images for an enhanced user experience. The chapter explores the criticality of page speed optimization, including strategies like optimized images and minification of code. The realm of app marketing is explored next, covering aspects of app development, user experience, platform selection, and integration with other services. App Store Optimization (ASO) is presented as a key strategy for improving app visibility and user engagement. SMS marketing is examined for its effectiveness in direct communication, with an emphasis on best practices like permission-based opt-ins and clear calls-to-action. The chapter also touches on the challenges and ethical considerations involved in SMS marketing, including respecting user privacy and preferences. Location-based marketing, another pivotal aspect of mobile marketing, is explored through discussions on geotargeting and beacon technology. These tools offer innovative ways for businesses to engage customers based on their physical location, enhancing the relevance and personalization of marketing efforts. The chapter then shifts focus to mobile advertising, detailing the growing significance of in-app advertising and various mobile ad formats like display ads, video ads, interactive ad experiences, and augmented reality (AR) ads. It discusses the importance of creative optimization and maintaining consistent branding across different ad formats. Mobile analytics are highlighted as essential tools for tracking and measuring mobile marketing performance. The chapter covers key metrics like app installs, user retention, and conversion rates, and emphasizes the importance of understanding user behavior, segmentation, and funnel analysis to tailor marketing strategies effectively. Finally, the chapter addresses emerging trends in mobile marketing, such as AR, VR, and voice search optimization. These trends present new opportunities for engaging customers in immersive experiences and highlight the need for marketers to adapt their strategies to evolving consumer behaviors and technological advancements. In summary, the chapter on “Mobile Marketing” offers a comprehensive overview of the strategies and tools essential for effective marketing in a mobile-dominated world. It underscores the dynamic nature of mobile marketing and the necessity for marketers to stay agile and responsive to ongoing changes in technology and consumer preferences.

Abstract The objective of the paper is to communicate on the development and commissioned of Web-Based Online Expert Corrosion Design Basis Memorandum (E-CDBM), an online solution to accelerate, simplify & standardize CDBM development which has been piloted for Upstream Wellhead Platforms and Pipelines. CDBM is a project key document consisting of the design basis of material selection, corrosion control, testing and monitoring which is typically developed and approved manually. This digitalization initiative will take CDBM to a next level in designing corrosion features for upstream facilities in line with COMPANY aspiration of going digital. Phase 1 web based E-CDBM consists of eight sections which are General Input, Process Data and Design Basis, Internal Corrosion Assessment, External Corrosion Assessment, Materials Option, Corrosion Control, Corrosion Testing & Monitoring, and Asset Register. Under Phase 2 enhancement, other modules to address Central Processing Platform (CPP), Subsea and Deepwater, Carbon Capture& Storage (CCUS), Renewable Energy (Offshore Wind Turbine), Well’s casing and tubing, Underwater jacket anode optimization, Lesson Learn and Loss of Primary Containment (LOPC) Module as well as Cost Engineering Module. Prior to the development of E-CDBM website, the first step is developing technical requirements and business logic spreadsheets. Eleven (11) internal and nine (9) external degradation mechanisms with regards to upstream facilities has been considered and the option for materials and corrosion control, testing and monitoring tools were populated. The user will be able to cross referred to the Lesson Learn and Loss of Primary Containment (LOPC) module to check on the material performance based on actual operator’s experience. On top of that, for an economical material selection, user can calculate Life Cycle Cost (LCC) that considered Operational Expenditure (OPEX) as well as (CAPEX) from Cost Engineering Module that developed in collaboration with COMPANY Cost Engineering Department and Operation. E-CDBM will be connected to email for notification and the programming will enable online reports, comments, review, and approval. All the information will be stored in one place with a cloud system for easy access and retrieval. E-CDBM will enable data collection and future machine learning adaption where trending and data comparison can easily be conducted. E-CDBM will have the following features: (i)Stringent quality control, standardize format and fast report generation, (ii) Consistent and supervised technical approach and recommendation, (iii) Fit for purpose material selection, corrosion control, testing and monitoring, (iv) Incorporation of lesson learns and best practices from different project phase, (v) Effective tracking and approval for data changes & deviation and (vi) Easy accessibility and secure online database with cloud system (vii) Integration to email server and Project Engineering Data Management System. From this E-CDBM initiative, work process simplification to develop CDBM will be achieved and resulting in 30% potential cost and manhour saving. In addition, a consistent technical approach and recommendation through E-CDBM will potentially incur cost avoidance by having fit-for-purpose materials, corrosion control, testing and monitoring tools as well as Price of Non-Conformance (PONC) avoidance for unplanned facilities modification/replacement. In summary, E-CDBM is an opportunity for COMPANY to develop inhouse capability and indirectly will raise oil and gas technology profile.

Attention-Deficit Hyperactivity Disorder, commonly abbreviated as ADHD, is a neurological disorder commonly associated with restlessness, difficulty maintaining attention spans, and difficulties maintaining interpersonal relationships [1]. Screening for ADHD is difficult and costly, and a more accessible and affordable option for getting tested for ADHD is necessary. As such, we created the website named NeuroGaze, which offers a non-intensive way to get tested for ADHD [2]. It utilizes the user’s webcam to use eye-tracking software across multiple tests. Three tests are employed by the website. First, a visual attention go/no-go test will generate 10 images for a user and they must only interact if they spot a certain image. Second, a continuous inhibition CPT (continuous performance test) will display random characters on a screen and the user is tasked with interacting with all non-’X’ characters [4]. Lastly, an interference test will have the user read a passage with distractions intermittently appearing, focusing on eye-tracking movement results. A screening survey follows, and the test concludes with the results screen with a potential diagnosis. To test our website’s accuracy, we created an experiment involving 12 individuals, half of which had ADHD [3]. Testing showed that our website is 75% accurate in its diagnoses, which leaves a solid foundation to further iterate on in the future.

The Alabama Burst Energetics eXplorer (ABEX) is a 12U CubeSat commissioned by the Alabama Space Grant Consortium; its astrophysics mission is to study the low energy, prompt emission of Gamma-ray Bursts in both gamma and X-ray spectra. The ABEX program is unique in that its workforce is comprised of individuals at seven colleges and universities around the state of Alabama. ABEX management releases Requests for Proposals (RFP) for Senior Design (SD) projects or university research groups to design and build spacecraft subsystems; university faculty with experience and facilities for the development of that subsystem respond to the RFPs to create a team. ABEX supports undergraduate SD students, graduate student mentors, and faculty technical advisors for all spacecraft subsystems in both ground and flight mission segments. Each team has between 5-15 undergraduate students, meaning ABEX teaches spacecraft design to ~85 undergraduate students at any given time; ABEX may be the largest collegiate CubeSat program in the world. The undergraduate labor force turns over, or cycles to new students, every 4-8 months, so ABEX can teach hands-on spacecraft design to over 100 students every year and has taught over 200 to date. Two features of ABEX create a difficult Systems Engineering (SE) environment: the undergraduate labor force turnover rate and the geographically disperse workforce. Most subsystem teams exist within two-semester SD courses, but some teams, like Flight Software, only exist for one semester before the undergraduate team turns over. This means the student onboarding process must be efficient and the material hand-off process effective if any substantive contribution to the spacecraft is to be made in their brief course period. A Model-Based Systems Engineering (MBSE) Integrated System Model (ISM) was created using SysML as a full-program organization of mission requirements, subsystem architectures, verification and validation procedures, and team interaction tracking methodologies for workforce turnover effect mitigation with ISM-exported artifacts as central objects of stage-gate reviews. An ABEX website was created with processes for first-time student onboarding, ISM artifact dissemination, and intercollegiate document transfer in addition to being a public relations arm for the program. With education at the forefront of ABEX, educational requirements and performance measures detailing onboarding efficiency, workforce preparedness, and alumni vocation results are defined within the ISM and used to evaluate program education proficiency. Program organization, ISM structure, and spacecraft design is presented with an emphasis on quantifying student education as a result of program involvement

Neuromorphic vision technology holds great promise for space applications owing to its low power consumption, high temporal precision and high dynamic range [1][2]. Dynamic vision sensors, or event-cameras as they are commonly known, have disrupted research fields across the computer vision landscape, from object tracking to image reconstruction, in robotics to the automotive industry [3]. A dynamic vision sensor is event-driven by design, as independently sensitive image pixels only respond to changes in scene brightness, leading to sparse and asynchronous output streams of data. Only motion between the scene and the camera will generate data, thus avoiding the capture of redundant static information and wasteful usage of onboard resources. Recent demonstrations of dynamic vision for in-orbit space situational awareness (SSA) [4][5] are encouraging, warranting further adoption of event-based hardware in the space sector. Whether tracking space debris or landing on a planetary body or asteroid, events are captured in the image plane of the dynamic vision sensor as a result of the relative dynamics between the onboard camera and the space environment. While event-based vision for guidance navigation and control (GNC) has been considered at a theoretical level in the past [1], onboard demonstrations of this technology have yet to be deployed. Its limited adoption to date can, in part, be explained by the lack of event-based datasets tailored to vision-based navigation in space and state-of-the-art event processing tools found in other disciplines (e.g., robotics). Our main contribution is a software pipeline to generate event-based datasets from simulated spacecraft trajectories in a photorealistic scene generator for planetary bodies and asteroids. Various landing scenarios are considered in this work to illustrate how the pipeline may be configured to capture event-based representation of surface features. We will base an upcoming scientific crowd-sourcing initiative [6] on this landing dataset to engage the wider computer vision communities in determining how best to handle event-based data for navigation and landing. We propose a flexible data pipeline which takes in trajectory specifications as input and outputs streams of events corresponding to the motion of features in the scene. From the initial conditions of the spacecraft and the properties of the target body, we solve an optimal control problem corresponding to a non-ventral, minimum-mass descent trajectory on the Moon and Mars. The trajectories are then used to manipulate the viewpoint of a pinhole camera model in the Planet and Asteroid Natural Scene Generator (PANGU) [7] which renders synthetic images of the surface during approach. Finally, a video-to-event converter [8] is used to generate synthetic events induced by the simulated landings. The sparse and asynchronous events include various artifacts (noise, motion blur, etc.) modelled after the performance of dynamic vision sensors in the field. The resulting dataset captures dynamic, event-based representations of common surface features such as craters, boulders and the target body's horizon. The upcoming data challenge will focus on the representation of event-based data, itself a new paradigm in computer vision, and its processing to meet navigation and landing objectives. The success of previous scientific crowd-sourcing initiatives on spacecraft pose estimation [9][10] testifies to the effectiveness of competitive data challenges in garnering interest and solutions to novel optical navigation opportunities. Beyond the data challenge, the event-based landing dataset is envisioned to support investigations into future onboard opportunities for event- and vision-based navigation, including optical-flow-based motion estimation, surface feature identification and tracking, and terrain relative navigation. By releasing this pipeline, we hope to promote the creation of new datasets for event-based navigation around other planetary bodies and asteroids, and to support the development of state-of-the-art event processing tools for future space missions. References: [1] Izzo, D., Hadjiivanov, A., Dold, D., Meoni, G., & Blazquez, E. (2022). Neuromorphic computing and sensing in space. arXiv preprint arXiv:2212.05236. [2] Roffe, S., Akolkar, H., George, A. D., Linares-Barranco, B., & Benosman, R. B. (2021). Neutron-induced, single-event effects on neuromorphic event-based vision sensor: A first step and tools to space applications. IEEE Access, 9 , 85748-85763. doi: 10.1109/ACCESS.2021.3085136 [3] Gallego, G., Delbrück, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., ... Scaramuzza, D. (2022). Event-based vision: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (1), 154-180. doi: 10.1109/TPAMI.2020.3008413 [4] Roffe, S., Schwarz, T., Cook, T., Perryman, N., Goodwill, J., Gretok, E., ... George, A. (2020). CASPR: Autonomous Sensor Processing Experiment for STP-H7. Retrieved from https://digitalcommons.usu.edu/smallsat/2020/all2020/64/ [5] McHarg, M. G., Balthazor, R. L., McReynolds, B. J., Howe, D. H., Maloney, C. J., O’Keefe, D., ... Cohen, G. (2022). Falcon Neuro: an event-based sensor on the International Space Station. Optical Engineering, 61 (8), 085105. Retrieved from https://doi.org/10.1117/1.OE.61.8.085105 doi: 10.1117/1.OE.61.8.085105 [6] Kelvins - European Space Agency's Advanced Concepts Competition Website, https://kelvins.esa.int [7] Martin, I., & Dunstan, M. (2021, November 20). Pangu v6: Planet and asteroid natural scene generation utility. [8] Hu, Y., Liu, S. C., & Delbruck, T. (2021). v2e: From video frames to realistic DVS events. In 2021 IEEE/CVF conference on computer vision and pattern recognition workshops (CVPRW). IEEE. [9] Kisantal, M., Sharma, S., Park, T. H., Izzo, D., Martens, M., & D’Amico, S. (2020). Satellite pose estimation challenge: Dataset, competition design, and results. IEEE Transactions on Aerospace and Electronic Systems, 56 (5), 4083–4098. doi: 10.1109/taes.2020.2989063 [10] Park, T. H., Martens, M., Lecuyer, G., Izzo, D., & D’Amico, S. (2022). SPEED+: Next-generation dataset for spacecraft pose estimation across domain gap. 2022 IEEE Aerospace Conference (AERO). doi:10.1109/aero53065.2022.9843439

Housing is fundamental to living standards. It’s no surprise that a Government committed to raising living standards has put housing at the heart of its agenda – most notably through its ambition to build 1.5 million new homes by the end of this Parliament. And it is most families’ largest expense, meaning that disposable incomes are highly sensitive to changes in rents or mortgage payments. The Resolution Foundation has today launched a new website tracking 12 indicators of how housing is affecting living standards in the UK. These include both indicators which describe the situation today – such as affordability and housing quality – but also forward-looking indicators like housing supply and the performance of the planning system. To demonstrate the value of these indicators, this Housing Outlook highlights five important housing trends that deserve greater attention. Each sheds light on the link between housing and living standards, and all are based on data available from our indicators page.

EuroSea is a holistic large-scale project encompassing the full value chain of marine knowledge, from observations to modelling and forecasting and to user-focused services. This report summarizes the legacy of EuroSea as planned and measured through a dedicated impact monitoring protocol, a holistic assessment of the project's successes in advancing and integrating European ocean observing and forecasting systems. Since its start, EuroSea has been analysing how well the project progresses towards the identified areas of impact. Impact assessment is not performance evaluation. These terms overlap but are distinct: performance relates to the efficient use of resources; impact relates to the transformative effect on the users. The EuroSea legacy report is presented through an aggregation and analysis of the EuroSea work towards achieving its impacts. Overall, over 100 impacts have been identified and presented on the website and in a stand-alone impact report. The legacy report sheds light on 32 most powerful impacts (four impacts in each of the eight EuroSea impact areas). EuroSea Impact Areas: 1. Strengthen the European Ocean Observing System (EOOS), support the Global Ocean Observing System (GOOS) and the GOOS Regional Alliances; 2. Increase ocean data sharing and integration; 3. Deliver improved climate change predictions; 4. Build capacity, internally in EuroSea and externally with EuroSea users, in a range of key areas; 5. Develop innovations, including exploitation of novel ideas or concepts; shorten the time span between research and innovation and foster economic value in the blue economy; 6. Facilitate methodologies, best practices, and knowledge transfer in ocean observing and forecasting; 7. Contribute to policy making in research, innovation, and technology; 8. Raise awareness of the need for a fit for purpose, sustained, observing and forecasting system in Europe. Ocean observing and forecasting is a complex activity brining about a variety of technologies, human expertise, in water and remote sensing measurements, high-volume computing and artificial intelligence, and a high degree of governance and coordination. Determining an impact on a user type or an area, therefore, requires a holistic assessment and a clear strategic overview. The EuroSea impact monitoring protocol has been the first known such attempt in a European ocean observing and forecasting project. The project’s progress has been followed according to the identified impact areas, through consortium workshops, stakeholder webinars, tracking, and reporting. At the end of EuroSea, we are able to demonstrate how well we have responded to the European policy drivers set out in the funding call and the grant agreement of our project, signed between the European Commission and 53 organizations, members of the EuroSea consortium. The project's impact is diverse, spanning areas from strengthening ocean observing governance to contributing to policymaking or boosting ocean research, innovation, and technology. Each impact area underscores EuroSea's commitment to a sustainable and informed approach to ocean observing and forecasting for enhanced marine knowledge and science-based sustainable blue economy and policies. (EuroSea Deliverable, D8.12)