Long-Term Power Demand Recording of Running Mobile Applications

2015 ◽  
Author(s):  
Julia Kindelsberger ◽  
Felix Willnecker ◽  
Helmut Krcmar
Keyword(s):  
Mobile Applications ◽  
Power Demand

Effectiveness of mobile applications on healthy lifestyles aimed at diabetic patients: review of systematic reviews. (Preprint)

2019 ◽  
Author(s):  
Francisco Jesús Represas Carrera Sr ◽  
Ángel Alfredo Martínez Ques Sr ◽  
Ana Clavería Fontán Sr
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Systematic Reviews ◽  
Mobile Applications ◽  
Control Group ◽  
Diabetic Patients ◽  
Healthy Lifestyles ◽  
Major Public Health Problem

BACKGROUND Diabetes mellitus is currently a major public health problem worldwide. It is traditionally approached in a clinical inpatient relationship between the patient and the healthcare professional. However, the rise of new technologies, particularly mobile applications, is revolutionizing the traditional healthcare model through the introduction of telehealthcare. OBJECTIVE (1) To assess the effects of mobile applications for improving healthy lifestyles on the quality of life and metabolic control of diabetes mellitus in adult patients. (2) To describe the characteristics of the mobile applications used, identify the healthy lifestyles they target, and describe any adverse effects their use may have. METHODS Review of systematic reviews and meta-analysis, following the guidelines of the Cochrane Collaboration and the Joanna Briggs Institute. We included studies that used any mobile application aimed at helping patients improve self-management of diabetes mellitus by focusing on healthy lifestyles. Studies needed to include a control group receiving regular care without the use of mobile devices. In May 2018, a search was conducted in Medline, Embase, Cochrane, LILACS, PsychINFO, Cinahl and Science Direct, updated in May 2019. The methodological quality of the studies was assessed using the Amstar-2 tool. RESULTS Seven systematic reviews of 798 articles were initially selected for analysis. The interventions had a duration of between 1 and 12 months. Mobile applications focused singly or simultaneously on different lifestyles aspects (diet, physical exercise, motivation, blood glucose levels, etc.). There are significant changes in HbA1c values, body weight and BMI, although in others, such as lipid profile, quality of life, or blood pressure, there is no clear improvement. CONCLUSIONS There is clear evidence that the use of mobile applications improves glycemic control in diabetic patients in the short term. There is a lack of evidence in its long-term benefits. It is thus necessary to carry out further studies to learn about the long-term effectiveness of mobile applications aimed at promoting the healthy lifestyles of diabetic patients. CLINICALTRIAL PROSPERO Register: CRD42019133685

scholarly journals Deep Neural Network and Long Short-Term Memory for Electric Power Load Forecasting

2020 ◽  
Vol 10 (18) ◽  
pp. 6489
Author(s):  
Namrye Son ◽  
Seunghak Yang ◽  
Jeongseung Na
Keyword(s):  
Power Consumption ◽  
Short Term Memory ◽  
Load Forecasting ◽  
Power Demand ◽  
Short Term ◽  
Power Load ◽  
Short And Long Term ◽  
Long Short Term Memory ◽  
Electric Power Load

Forecasting domestic and foreign power demand is crucial for planning the operation and expansion of facilities. Power demand patterns are very complex owing to energy market deregulation. Therefore, developing an appropriate power forecasting model for an electrical grid is challenging. In particular, when consumers use power irregularly, the utility cannot accurately predict short- and long-term power consumption. Utilities that experience short- and long-term power demands cannot operate power supplies reliably; in worst-case scenarios, blackouts occur. Therefore, the utility must predict the power demands by analyzing the customers’ power consumption patterns for power supply stabilization. For this, a medium- and long-term power forecasting is proposed. The electricity demand forecast was divided into medium-term and long-term load forecast for customers with different power consumption patterns. Among various deep learning methods, deep neural networks (DNNs) and long short-term memory (LSTM) were employed for the time series prediction. The DNN and LSTM performances were compared to verify the proposed model. The two models were tested, and the results were examined with the accuracies of the six most commonly used evaluation measures in the medium- and long-term electric power load forecasting. The DNN outperformed the LSTM, regardless of the customer’s power pattern.

scholarly journals PEMBUATAN SISTEM INFORMASI KOIN BOND DI PT SAGARA ASIA TECHNOLOGY MENGGUNAKAN SWIFT 4

2021 ◽  
Vol 11 (1) ◽  
pp. 76-87
Author(s):  
Helmi Taufiq Al Hakim ◽  
Galih Suryo ◽  
Sofiyanti Indriasari
Keyword(s):  
Software Development ◽  
Product Development ◽  
Mobile Applications ◽  
Digital Products ◽  
Investment Returns ◽  
The Creation ◽  
Work Done ◽  
A Company

ABSTRACTPT Sagara Asia Technology or better known as Sagara Technology is a company engaged in technology consulting and digital products. Sagara Technology manufactures and provides premium software development, training and talent products. The work done at Sagara Technology focuses on developing website technology and mobile applications. Investment is an option for many groups of people to invest in a company because investment promises long-term benefits. Therefore, PT Lunaria Annua Teknologi decided to create a Bond Coin application to reach all groups of people who want to invest and can take advantage of investment returns according to their wishes.The methodology used during the creation of this application is Scrum. Scrum is used as a framework because this methodology is suitable for small teams, clear application specifications and Scrum allows iteration and incremental of a product requirement that will be found during product development. Bond coins make it easier for investors to conduct checks on Government Securities purchased, including transparency, security and efficiency in transactions.

scholarly journals The Semantics in GPS Based Mobile Applications for Blind Users Navigation Outdoor

2019 ◽  
Vol 5 (2) ◽  
pp. 46-51
Author(s):  
Israh Akbar ◽  
Ahmad Fatzilah Misman
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Visually Impaired ◽  
Blind Person ◽  
Blind Users ◽  
Unknown Environment ◽  
Gps Navigation ◽  
Visually Impaired People ◽  
Source Of Information

This research is a study on improving information facilitated by common GPS based mobile application for navigation especially by the blind users. For a blind person, the main source of information is words and how to improve the effectiveness of the explanation using mobile application for them is tested in this research. The long term goal of technology is to create a movable, self-contained system that allows visually impaired people to navigate through unfamiliar environments without the assistance of guides The experiment for the research took place at MFB (Malaysian Foundation for the Blind) using existing GPS based mobile applications and the results were used to prove the hypothesis that the blind are at a considerable downside because of the absence of information and providing a detailed description of the environment could be used in the GPS navigation applications for the blind pedestrians to help them navigate independently and it would enable them to take up GPS for independent navigation in unknown environment. The information derived from the research could further help in creating and improving the semantics of the GPS based navigation technology for the blind pedestrians in an unknown environment.

scholarly journals THE EFFECT OF REVENUE AND MARKET SEGMENTATION LEVEL TOWARDS VENTURE CAPITAL INVESTMENT IN MOBILE APPLICATION BUSINESS

2014 ◽  
Vol 8 (1) ◽  
pp. 10 ◽  
Author(s):  
Dennis Adrian ◽  
Riswan Efendi Tarigan
Keyword(s):  
Venture Capital ◽  
Market Segmentation ◽  
Mobile Applications ◽  
Mobile Application ◽  
Capital Investment ◽  
Investment Decisions ◽  
Venture Capital Investment ◽  
Potential Market ◽  
Lack Of Knowledge

The development of mobile applications has mushroomed in local and foreign industries. This provides a tremendous opportunity for developers. For technopreneur developer, the capital to run the business is one of the biggest problems despite the fact that they may have great competence in the field. The fact that the business has big potential market in Indonesia has invited investors from local and overseas to invest as venture capital. However, due to the lack of knowledge on building collaboration with the investors and on understanding the market and investor needs in a long term, the developer finds difficulties to grow its business and to compete with bigger competitors. The research intends to seek the influence in selecting the level of revenue and market segmentation to support the investment decisions in the business of mobile applications, so that the mobile application developer is able to monetize their business to attract investors to invest in the venture capital.

A Risk-Based Classification of Mobile Applications in Healthcare

2011 ◽  
Vol 3 (2) ◽  
pp. 28-39
Author(s):  
Josh Feiser ◽  
Vijay V. Raghavan ◽  
Teuta Cata
Keyword(s):  
Mobile Devices ◽  
Mobile Applications ◽  
Chronic Care ◽  
Risk Profile ◽  
Healthcare Applications ◽  
Term Care ◽  
Mobile Healthcare ◽  
Wide Range

Mobile devices and applications are becoming popular in today’s society. The number of applications available to both the patient and the healthcare provider is changing the way healthcare is being delivered and consumed. The integration of mobile devices into every-day lives is driving the changes in healthcare. While all areas of medicine are being impacted, changes are mostly of chronic care, long term care and any place that causes a need for constant data, monitoring or training. The acceptance of mobile devices by healthcare consumers within wide range of age and socioeconomic circumstances is reason to look at mobile technology as the future of healthcare. While increased use of mobile applications are welcomed by most providers and consumers alike, there is a need to systematize the study of its use. The authors provide a framework for considering mobile applications in healthcare, based on their risk-profile. They accomplish this by first identifying and classifying the mobile healthcare applications.

scholarly journals Design of a Compact MIMO Antenna Using Coupled Feed for LTE Mobile Applications

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xing Zhao ◽  
Youngki Lee ◽  
Jaehoon Choi
Keyword(s):  
Correlation Coefficient ◽  
Mobile Applications ◽  
Return Loss ◽  
Impedance Matching ◽  
Antenna Element ◽  
Mimo Antenna ◽  
First Order ◽  
Term Evolution ◽  
Radiating Element

A compact multi-input multi-output (MIMO) antenna with a coupled feed structure for 4th generation (4G) handsets is proposed for operation in long-term evolution (LTE) band 13 (0.746 GHz–0.787 GHz). The MIMO antenna consists of two symmetrically distributed identical antenna elements. The size of each element is limited to 20 mm × 10 mm × 5 mm (λ0=392 mm at 0.765 GHz), and the separation between different elements is minimized to 15 mm. Each antenna element contains a Z-shaped coupled feed strip and a simple folded monopole-type radiating element. The simple folded radiating element supports two monopole modes (first order) excited at adjacent frequencies to achieve broadband performance. The coupled feed strip effectively modifies impedance matching and maintains good isolation. The proposed antenna has a 6 dB return loss bandwidth of 55 MHz (0.735 GHz–0.79 GHz) and isolation above 12 dB without the use of an additional isolation enhancement element. Moreover, the envelope correlation coefficient (ECC) is maintained below 0.5 over the designed frequency band.

Development of Energy-aware Mobile Applications Based on Resource Outsourcing

2014 ◽  
Vol 24 (08) ◽  
pp. 1225-1243 ◽  
Author(s):  
Byoung-Dai Lee ◽  
Kwang-Ho Lim ◽  
Namgi Kim
Keyword(s):  
Mobile Applications ◽  
High Speed ◽  
Energy Savings ◽  
Computation Offloading ◽  
Energy Aware ◽  
Management Techniques ◽  
Runtime Infrastructure ◽  
Critical Requirement ◽  
Efficient Power

Smart connected devices such as smartphones and tablets are battery-operated to facilitate their mobility. Therefore, low power consumption is a critical requirement for mobile hardware and for the software designed for such devices. In addition to efficient power management techniques and new battery technologies based on nanomaterials, cloud computing has emerged as a promising technique for reducing energy consumption as well as augmenting the computational and memory capabilities of mobile devices. In this study, we designed and implemented a framework that allows for the energy-efficient execution of mobile applications by partially offloading the workload of a mobile device onto a resourceful cloud. This framework comprises a development toolkit, which facilitates the development of mobile applications capable of supporting computation offloading, and a runtime infrastructure for deployment in the cloud. Using this framework, we implemented three different mobile applications and demonstrated that considerable energy savings can be achieved compared with local processing for both resource-intensive and lightweight applications, especially when using high-speed networks such as Wi-Fi and Long-Term Evolution.

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