Reuse System by Using Mobile Phones

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Diagnosing COPD Using Mobile Phones

Chronic Obstructive Pulmonary Disease (COPD) is common progressive lung disease that causes difficulty in breathing. The paper presents the design and implementation of a user-friendly mobile phone application developed on an Android platform that examines the lung functionality using the phone’s built-in sensors. It allows the user to get a sense of whether they have COPD or not from home befo...

متن کامل

Epidemic Modeling using Mobile Phones

Infectious diseases are famous for their potential to turn into epidemics if the appropriate measures are not taken early enough, and the best strategy to counter epidemics is to rely on the early detection and identification of the infectious agents involved to take appropriate measures. In our work we want to investigate if it is possible to build disease spreading models using sensory data g...

متن کامل

Locative Systems Using Mobile Phones

Jenny Weight RMIT University Locative technologies distribute locationspecific media to a local population. This media is ambient because it’s inscribed on the landscape, encountered as a function of passing through a location. Many technologies can be used to distribute locative media, and many are neither new nor novel: a signpost is a type of locative technology, and the words ‘‘Melbourne 42...

متن کامل

A Mobile TDR System for Smart Phones

In our previous work a multi-level slow intelligence system with multiple sensors, called the TDR system, was developed [1]. It consists of interacting supercomponents each with different computation cycles specified by an abstract machine model. The TDR system has three major super-components: Tian (Heaven), Di (Earth) and Ren (Human), which are the essential ingredients of a human-centric psy...

متن کامل

Fall Classification by Machine Learning Using Mobile Phones

Fall prevention is a critical component of health care; falls are a common source of injury in the elderly and are associated with significant levels of mortality and morbidity. Automatically detecting falls can allow rapid response to potential emergencies; in addition, knowing the cause or manner of a fall can be beneficial for prevention studies or a more tailored emergency response. The pur...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Material Cycles and Waste Management Research

سال: 2013

ISSN: 1883-5864,2187-4808

DOI: 10.3985/mcwmr.24.183