Track Your Research Articles

Mouse Control using Hand Gesture

The mouse, that handy device we use to control our computers, has come a long way in Human-Computer Interaction technology. Even with wireless or Bluetooth mice, we still rely on batteries and dongles to connect them to our PCs. But imagine a new AI-powered virtual mouse system. Instead of needing physical devices, it would use your webcam or built-in camera to track your hand movements and gestures. Using clever computer vision and machine learning algorithms, it could interpret these gestures to control your computer—clicking, scrolling, and moving the cursor—all without an actual mouse. This system, based on deep learning to recognize hand movements, could even help reduce the spread of COVID-19 by removing the need for physical contact and devices to control your computer.

Software Based Tree Plantation and Live Tree Tracker

Abstract: In the 21St century everything is going online from ordering food to buying cloths for the function. So, in this modern era, its crucial to use these modern technologies to save our environment. In this project we have provided tree plantation service by using web development technology with charismatic user interface. Everyone wants system to be as transparent as possible that’s why we have provided ‘Track Your tree’ option in our web application which adds beauty of this application. Because of these features user will feel best involved in tree plantation process. By using this application anyone can contribute for the environment by planting trees with great user satisfaction. Our project is combination of software and hardware, in hardware part we have developed automatic plant watering system by using Arduino uno. The developed system is fully automatic without any human interaction, which supplies water to the plant in efficient manner. Automatic watering system starts working whenever there is requirement of water to the plant and stops working as soon as requirement fulfils.

Inventory Management Practices and Performance Of Preference Groups In Kisii County, Kenya

This study endeavored to explore on the relationship between inventory management practices and performance of preference groups in Kisii County, Kenya. The specific objectives were: stock replenishment management, just in time management, re-order level management and inventory description management. The study was anchored on various theories relevant. This study adopted descriptive survey research design. The target population was 1036 respondents’ from 210 prequalified preference groups within Kisii County and a sample size of 104 of the population was established from three stratus. The study equally distributed the sample size equally on all the constituencies of Kisii County. Reliability was tested of 10% (10) respondents using Cronbach alpha index at 0.7 while validity was tested by correlation coefficient. This was above the required before proceeding to the field for data correction. All the predictor variables displayed above average or positive relationship with performance of preference groups. Reliability test results for the variables track your activity management, daily inventory count management, manage out-of-stock product management, clear inventory description management and performance was above the threshold of >0.7. With adequate validity and reliability the instrument were clearly drafted and precisely fit to collect data. The researcher recommends that preference groups were really being affected by inventory management practices. Also the research concludes that the four specific objectives had greater impact on preference groups in Kisii County, Kenya. The study further recommends a review of Public Procurement to provide supportive regulatory framework which was establish an independent body that was to facilitate continuous capacity developments of the disadvantages groups and establish mechanism for regular compliance audit since the current regulation is not clear on action to be taken on non-compliance

Basic Support System

The purpose of this BASIC SUPPORT SYSTEM is to make a platform that helps in settling the issues related to an organization’s function or infrastructure and report it to the admin. The admin notifies the respective department, resolves the issue and marks it as solved. This process makes it efficient for the organization to look out for issues and fix them effectively. The Basic Support System is developed to eliminate the existing method of using word of mouth or e-mails used to resolve the issues. BSS is not only used as a user centric platform, it also provides a perfect platform to the administrator who can resolve the issues. Basic Support System can include complaints on the electrical, infrastructure, Bus and other issues in an educational organization.BSA lets youprioritize, assign, track, report and audit your ‘issues’ , from software bugs and help desk tickets to actual issues in your organization. More than just an issue tracker, BSA is an extensible platform that you can customize to match your organization processes. BSA improves productivity by cutting down on time wasted on tracking issues and coordination. BSA improves quality by ensuring all tasks are recorded down with all the details and followed up till completion.

Fast track your skills acquisition.

Fast track your skills acquisition.

Assessing Frailty Risk in Clinical Practice

Assessing Frailty Risk in Clinical Practice

Use of a Paid Digital Marketing Campaign to Promote a Mobile Health App to Encourage Parent-Engaged Developmental Monitoring: Implementation Study.

BackgroundThe internet has become an increasingly popular medium for parents to obtain health information. More studies investigating the impact of paid digital marketing campaigns for parents on promoting children’s healthy development are needed.ObjectiveThis study aims to explore the outcomes of a paid digital marketing campaign, which occurred from 2018 to 2020, to promote messages about parent-engaged developmental monitoring and ultimately direct parents to the Centers for Disease Control and Prevention’s (CDC’s) Milestone Tracker app, a mobile health (mHealth) app developed by the CDC.MethodsThe paid digital marketing campaign occurred in 3 phases from 2018 to 2020. In each phase, 24 to 36 marketing messages, in English and Spanish, were created and disseminated using Google’s Universal App Campaigns and Facebook Ads Manager. Outcomes were measured using impressions, clicks, and install data. Return on investment was measured using click-through rate (CTR), cost per click, and cost per install metrics.ResultsThe Google-driven marketing messages garnered a total of 4,879,722 impressions (n=1,991,250, 40.81% for English and n=2,888,472, 59.19% for Spanish). The messages resulted in a total of 73,956 clicks (n=44,328, 59.94% for English and n=29,628, 40.06% for Spanish), with a total average CTR of 1.52% (2.22% for English and 1.03% for Spanish). From these clicks, there were 13,707 installs (n=9765, 71.24% for English and n=3942, 28.76% for Spanish) of the CDC’s Milestone Tracker app on Google Play Store. The total average cost per install was US $0.93 across all phases. The phase 3 headline “Track your child’s development” generated the highest CTR of 3.23% for both English and Spanish audiences. The Facebook-driven marketing messages garnered 2,434,320 impressions (n=1,612,934, 66.26% for English and n=821,386, 33.74% for Spanish). The messages resulted in 44,698 clicks (n=33,353, 74.62% for English and n=11,345, 25.38% for Spanish), with an average CTR of 1.84% (2.07% for English and 1.38% for Spanish). In all 3 phases, animated graphics generated the greatest number of clicks among both English and Spanish audiences on Facebook when compared with other types of images.ConclusionsThese paid digital marketing campaigns can increase targeted message exposure about parent-engaged developmental monitoring and direct a parent audience to an mHealth app. Digital marketing platforms provide helpful metrics that can be used to assess the reach, engagement, and cost-effectiveness of this effort. The results from this study suggest that paid digital marketing can be an effective strategy and can inform future digital marketing activities to promote mHealth apps targeting parents of young children.

Technology Focus: Artificial Lift (March 2022)

What is the one thing you can do that will provide the greatest benefit to your artificial lift operations? For me, the answer to that question is simple: focus on surveillance. Surveillance is the foundation of any artificial lift optimization program. Effective surveillance practices allow you to keep track of how your system is performing against predefined targets, understand the current state of your artificial lift system, and identify which wells are at risk of failure. It also helps you identify ways to prevent failures through better selection, design, and application of artificial lift technology. At the heart of any effective surveillance program is a set of thoughtfully selected key performance indicators (KPIs). Establishing surveillance KPIs helps you set goals and track your progress against them so that you can zero in on the areas in greatest need of improvement. Typical KPIs include production volumes, operational expenditures, downtime, capital expenditures, failure frequency, and intervention frequency. A variety of tools and techniques are used daily to monitor and control the performance of artificial lift systems. As technology has evolved, so have these surveillance practices. Historically, artificial lift surveillance was performed using manual techniques, such as measuring and evaluating produced volumes, collecting acoustic fluid levels, evaluating two-pen charts and amp charts, collecting and analyzing dynamometer cards, collecting pressure and temperature surveys, performing teardowns and root-cause failure analysis, and using well and network models to understand system performance better. As automation technology developed, these techniques were enhanced through real-time data collection, the use of permanent downhole gauges, and real-time control using wellsite intelligence. With the introduction of automation, exception-based management techniques were introduced to leverage the time and energy of personnel to the greatest benefit. This allowed operators to focus their efforts on dealing with “bad actors” and finding “low-hanging fruit” rather than spending their time looking at every single well each day. Today, artificial lift surveillance practices continue to evolve through data-science and data-analytics techniques. Data analytics allow operators to put an ever-growing volume of data to work. Such techniques, generally classified as descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics, often combine statistical and physics-based principles to find opportunities faster than traditional practices can. Descriptive analytics allow operators to answer questions about what has happened, diagnostic analytics help operators answer questions about why the events happened, predictive analytics help operators answer questions about what will happen, and prescriptive analytics help operators answer questions about what should be done. This month’s JPT features examples of three such systems. Paper SPE 207290 provides an example of how automated well models are being used to improve the performance of progressing cavity pumps in a large Middle Eastern asset. Paper SPE 200825 shows how one operator is using artificial neural networks to predict failures in sucker rod pumping applications. Finally, paper IPTC 20254 shows how genetic algorithms can be used to accelerate the surveillance and optimization of a large population of gas lift wells. As an added bonus, one of our recommended papers for further reading, paper SPE 207550, illustrates how data analytics techniques are being used to predict failures in electric submersible pumping applications. Recommended additional reading at OnePetro: www.onepetro.org. SPE 208136 - Gas-Lift-Valves Replacement in Norway Field Using Riserless Light Well Intervention Vessel by Antonio Fiameni, Eni, et al. SPE 207550 - Real-Time Implementation of ESP Predictive Analytics—Toward Value Realization From Data Science by Antonio Andrade Marin, Petroleum Development Oman, et al. URTEC 208406 - Statistical Process Control for Early Detection of Progressive Cavity Pump Failures in Vertical Unconventional Gas Wells by Suren Indrajith Rathnayake, The University of Queensland, et al.

SAP SİSTEMİNİN QAZMA BLOKU, MÜVAFİQ PLATFORMALARIN TƏSNİFATI VƏ YARADILMASI

For companies wishing to monitor inspection and repair processes through the system, the module proposed by SAP as part of the enterprise source planning application is the SAP PM (Plant Maintance) module. The PM module manages all equipment faults and scheduled repairs. The module, which is integrated with procurement, cost accounting, financial and inventory management processes, can automatically order for technical needs, track your current and overhaul costs immediately, and prepare spare parts. Purchase and consumption operations related to the warehouse can be carried out through tracking and system. These are the functions of the SAP PM module: Planning and implementation of repair activities; Repair for backup; Repair for the purpose of correction; Repair of spare parts in case of critical development of material in the warehouse; Capacity and resource planning; Maintenance planning in addition to repairs and etc. Key words: SAP system, management, planning, drilling, repair, control, organization

URL Optimization

URL is a technique/process under which we optimize the URL structure of a website/blog page in order to make web page more understandable by the search engine crawlers and by the users. The URL (Universal Resource Locator) is the location of a page on your web site bar. After choosing a domain name, optimizing the URLs for your page is the next SEO step. SEO for your page URLs is important because keywords in the URL are a ranking factor and short and descriptive URLs can help with the link building and user interaction. A URL usually looks something like this: it starts with https:// it is to visit.Hardware Requirement:I3 Processor Based Computer Memory: 8 GB RAM Internet Connection Hard Drive: 10 GB Software Requirement: Windows 7 or higher Technology Used: Nodejs Express database: mongodb. Advantages: User can customize their URLs Track your link performance Valuable analytical tool. Disadvantages: Applications: created URL This is a link management platform that lets you harness the power of your link by shortening, sharing, managing and analysing links to your content.

Development of a system for recording student achievement using a new information technology stack

The article deals with the solution of a number of problems related to the distribution of increased state academic scholarships, such as: late submission of documents, lengthy consideration of applications, paper version of the submission of documents, which make the process of submitting complicated and reviewing applications and documents for increased state academic scholarships, thereby increasing the burden on members of the scholarship Commission and directorates of institutes. The purpose of this work is to increase the efficiency and accessibility of this process through an information system that will allow you to submit achievements for authentication and applications for increased state academic scholarships online, track your position in the rating in real time, and view the achievements of other students directly from the rating system. The system will be a client-server architecture developed using the representational state transfer approach. Information system design is implemented using a new stack of information design and development approaches. The article pays special attention to the design of the database and the interface part of the application.

Utilization Visibility Order Management In Trucking Module Orchestration

The Transport Module can help you track your vehicle and its distance so that you have less administration, optimized driving, and better customer service. Are you familiar with the problem of tracking your vehicle and its existence? This problem often occurs, when you want to notify customers about the time of arrival or inaccurate information about means of transportation. Not only that, but there are also problems that can be found, such as the difficulty in knowing the condition of the goods being transported. Using truck modules can provide convenience such as faster response times on assignments, you can also easily help your customers when they request arrival time or shipping status. The purpose of ordering orders is to be able to quickly and easily enter the origin and destination needed, delivery, and details of the pickup and delivery with several possible clicks. This study aims to look for optimization of the performance of trucking company performance and analyze and provide information regarding the position of an item in real-time. This paper describes the Utility Management of Utility Visibility in the Trucking Orchestration Module.

Frequency and Duration of Daily Smartphone Usage in Relation to Personality Traits

Objectives: Daily life behaviour can be studied by smart mobile devices. The current study investigated associations between personality traits and smartphone usage in daily routine.
 Methods: 526 participants used the Track Your Daily Routine smartphone app (TYDR) for 48 days, on average (SD = 63.2, range 2 to 304). The Big Five Inventory 2 (BFI-2) was deployed to measure personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness). We analyzed associations between personality traits and two indicators of smartphone usage: number of wakeups per day and session duration.
 Results: Participants reached for a smartphone more frequently during weekdays with shorter duration of usage compared to weekends. Younger people used their smartphones more often but with a shorter duration than older people. Female participants spent more time using smartphone per session than male participants. Extraversion and neuroticism were associated with more frequent checking of the phone per day while conscientiousness was associated with a shorter duration of the session per day.
 Conclusions: Frequency and duration of daily smartphone usage is associated with personality traits and participants demographics (age, gender). Implications for future research are discussed.
 

`Fast Track Your Business: A Customer-Centric Approach to Accelerate Market Growth` by Laura Patterson

`Fast Track Your Business: A Customer-Centric Approach to Accelerate Market Growth` by Laura Patterson

THE LEADER'S GUIDE TO THE FOREVER TRANSACTION

AbstractThis article discusses what the author calls a Forever Transaction, an ongoing, formal relationship with the people your organization services. A Forever Transaction is that moment when the customer takes off their shopper hat, dons their member hat, and stops looking for alternatives to solve a particular problem or achieve a specific goal. The customer now trusts you enough to let you charge them on a regular basis, forever. Using tactics like subscription pricing, premium loyalty programs, and digital community in which customers connect with one another via the Internet and under the organization's brand, these new business models are changing how we do nearly everything. It encompasses categories such as work (LinkedIn, Slack, Caterpillar), play (Peleton, Electronic Arts), eating (Blue Apron, Burger King), shopping (Amazon, Restoration Hardware), travel (Surf Air, Porsche Passport), and more. Eight steps are outlined to understand what's required of leaders and the rest of their organizations the first five are as follows: Step 1, set expectations with stakeholders; Step 2, assess and rethink corporate culture; Step 3, develop the right team for the membership economy; Step 4, track your leading indicators of success: CEO dashboard; and Step 5, understand the risk, then swim toward transformation.

Justice in the Digital State: Assessing the Next Revolution in Administrative Justice by JoeTomlinson (Bristol: Policy Press, 2019, 97 pp., £12.99 (pbk))

Justice in the Digital State: Assessing the Next Revolution in Administrative Justice by JoeTomlinson (Bristol: Policy Press, 2019, 97 pp., £12.99 (pbk))

Self-Tracking Technology as an Extension of Man

Self-Tracking Technology as an Extension of Man

Track Your Parking Lot with the help of Sensors

The increasing number of vehicles around the globe increases the parking problem. Parking of vehicle in front of the house or in the basement of shopping mall, consumes a lot of time and energy of the driver. Additionally, the emission of extra CO2 is adding to the environmental cause globally. So here, author has proposed a solution of mentioned problem. An Automated Parking Management System (APMS) is proposed here that dynamically detect the vacant parking slots. This interface will provide the facility of advance booking through which the user can book a parking slot in advance to avoid last moment rush. The user can also locate, view the nearest empty parking lot in advance and plan his/her journey accordingly. The proposed work is done with the help of sensors that will fetch the data dynamically from the parking slots (whether they are vacant, occupied or waiting) with the help of raspberry pie. The retrieved data is interfaced by an android application that will then show the status of the slots. Apart from mentioned advantages, this work also addresses the environmental concerns due to CO2 emission. In short, through this application user will get a safe and secure vacant parking slot without any hustle and wastage of time.

Cash & Receivables Management At Bharat Heavy Electricals Ltd

Money the executives procedures incorporate planning keeping monetary records, augmenting the premium earned on checking and sparing records, and consistently getting ready fiscal summaries, and as total assets and income. One of the soundest bits of monetary guidance is to spend short of what you win. It sounds straightforward, yet on the off chance that you are not completely mindful of how you burn through cash, you might spend more than you understand. After you track your salary and costs, following a spending that is acclimated to your individual circumstance and objectives is a fantastic procedure to design your spending.

What data are smartphone users willing to share with researchers?

Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user’s personality. As filling out personality questionnaires is tedious, we propose the prediction of the user’s personality from smartphone sensor and usage data. In order to collect data for researching the relationship between smartphone data and personality, we developed the Android app track your daily routine (TYDR), which tracks and records smartphone data and utilizes psychometric personality questionnaires. With TYDR, we track a larger variety of smartphone data than many other existing apps, including metadata on notifications, photos taken, and music played back by the user. Based on the development of TYDR, we introduce a general context data model consisting of four categories that focus on the user’s different types of interactions with the smartphone: physical conditions and activity, device status and usage, core functions usage, and app usage. On top of this, we developed the Privacy Model for Mobile Data Collection Applications (PM-MoDaC) specifically tailored for apps that are related to the collection of mobile data, consisting of nine proposed privacy measures. We present the implementation of all of those measures in TYDR. Our experimental evaluation is based on data collected with TYDR during a two-month period. We find evidence that our users accept our proposed privacy model. Based on data about granting TYDR all or no Android system permissions, we find evidence that younger users tend to be less willing to share their data (average age of 30 years compared to 35 years). We also observe that female users tend to be less willing to share data compared to male users. We did not find any evidence that education or personality traits are a factor related to data sharing. TYDR users score higher on the personality trait openness to experience than the average of the population, which we assume to be evidence that the type of app influences the user base it attracts in terms of average personality traits.