A study on the intention of continuous use of smart phone

2011 ◽  
Vol 12 (3) ◽  
pp. 251-268 ◽  
Author(s):  
조현 ◽  
김성희 ◽  
남달우
Keyword(s):  
Smart Phone ◽  
Continuous Use

Prevalence of forward neck posture and influence of smartphones in physiotherapy students

Biomedicine ◽  
2021 ◽  
Vol 41 (3) ◽  
pp. 660-664
Author(s):  
Annie Janet ◽  
G. Mohan Kumar ◽  
Rajalaxmi V. ◽  
S Ramachandran ◽  
C. Priya ◽  
...  
Keyword(s):  
Outcome Measure ◽  
Smart Phone ◽  
Body Part ◽  
Smart Phones ◽  
Control Group ◽  
Normal Neck ◽  
The Mean ◽  
Craniovertebral Angle ◽  
Continuous Use ◽  
Physiotherapy Students

Introduction and Aim: InAsia, the prevalence of forward neck posture is 66%. Forward neck posture is the anterior positioning of cervical spine. This posture is sometimes called as “scholar’s neck. Forward neck posture can lead to musculoskeletal disorders such as injuries in muscles, tendons, and peripheral vessels, vascular vessels caused by repetitive or continuous use of certain body part. In forward neck posture, the sternocleidomastoid muscle and trapezius are largely responsible for turning and nodding the head. When the head moves front, the spine follows, pulling the shoulder blades forward as well.They make contact with the upper ribs and begin to drag it forward with them.Therefore, this study aims to quantify forward neck posture in prolonged smart phone users.   Methodology:An observational study was done in smartphone using student population comparing the control group students with forward neck posture studentsfor the duration of 3weeks. This study has included 100 students with forward neck posturewho were recruited fromDr. MGR Educational & Research Institute. Goniometer, Craniovertebral angle and Plumb line were used as the outcome measure.   Results:The findings of this research exhibit there is a statistically significant changes inforward neck posture studentscompared with control group and the mean difference is 14.97 in two groups students.   Conclusion:The present study concluded that 3 weeks after assessing the students. Forward neck posture students found to have decreased craniovertebral angle and range of motion compared to normal neck posture students and also found that forward neck posture students spent 5-6 hours using smart phones per day.

Medically Important Vector Borne Disease Control-Botanical Plant Extract Trials

2018 ◽  
Vol 4 (4) ◽  
pp. 513
Author(s):  
Rakhshan .
Keyword(s):  
Disease Control ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Vector Borne Disease ◽  
Development Of Resistance ◽  
Vector Borne ◽  
Synthetic Pesticides ◽  
High Level ◽  
Continuous Use ◽  
Chemical Pesticides

Mosquitoes are vectors of many pathogens which causes serious human diseases like Malaria, Filariasis, Japanese encephalitis, Dengue fever, Chikungunya, Yellow fever and Zika virus which constitute a major public health problem globally. Mosquito borne diseases cause high level of economic impact all over the world and result in millions of death every year. They infect around 700,000,000 people annually worldwide and 40,000,000 only in India. The continuous use of synthetic pesticides to control vector mosquitoes has caused physiological resistance, toxic effect on human health, environmental pollution and addition to these, its adverse effects can be observed on non-target organisms. Synthetic chemical pesticides have been proved to be effective, but overall in last 5 decades indiscriminate use of synthetic pesticides against vector borne disease control have originated several ecological issues due to their residual accumulation and development of resistance in target vectors and their chronic effects.

SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM

SIGMA TEKNIKA ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 81
Author(s):  
Muhammad Irsyam
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Water Intake ◽  
Smart Phone ◽  
Growth Failure ◽  
Automation System ◽  
Notification System ◽  
Efficiency And Effectiveness ◽  
Plant Automation

ABSTRAK           Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah.          Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar kelembaban tanah dengan sistem pemberitahuan atau notifikasi yang akan dikirimkan kepada petani dengan menggunakan aplikasi smart phone Telegram.          Sistem ini telah mampu mengontrol penyiraman sesuai dengan kondisi yang diinginkan. Dengan adanya sistem otomasi penyiraman tanaman berbasis telegram maka dapat meningkatkan efesiensi dan efektivitas petani sehingga kualitas tanaman dapat terjaga dengan baik.Kata kunci -- Penyiraman Tanaman, Penyiraman Secara Otomatis, Telegram.ABSTRACT                Factors that determine the failure of a plant's growth of almost are influenced by incorrect cropping techniques or methods. This is caused by the technique of watering is done manually so that not all plants get a uniform water intake to avoid crops withered. Another factor that causes plant growth failure is soil moisture.          Therefore, to reduce the problem was designed "Telegram Based Water Planting Automation System". The system includes automatic watering of plants based on moisture level of the soil with a notification or notification system that will be sent to farmers using Telegram smart phone applications.          This system has been able to control the watering according to the desired conditions. With the telegraph-based plant watering plant automation system can improve the efficiency and effectiveness of farmers so that the quality of the plant can be maintained properly. Keywords -- Watering Plants, Watering Automatically, Telegram.  

Forensic Analysis of Artifacts of Giant Instant Messaging “WhatsApp” in Android Smartphone

2018 ◽  
Vol 5 (2) ◽  
pp. 73-83
Author(s):  
Hussein Abed Ghannam
Keyword(s):  
Instant Messaging ◽  
Smart Phone ◽  
Forensic Analysis ◽  
Digital Evidence ◽  
Terror Attack ◽  
Left Behind ◽  
Digital Crime ◽  
Internal Storage ◽  
Network Forensic ◽  
Electronic Crime

WhatsApp is a giant mobile instant message IM application with over 1billion users. The huge usage of IM like WhatsApp through giant smart phone “Android” makes the digital forensic researchers to study deeply. The artefacts left behind in the smartphone play very important role in any electronic crime, or any terror attack. “WhatsApp” as a biggest IM in the globe is considered to be very important resource for information gathering about any digital crime. Recently, end-to-end encryption and many other important features were added and no device forensic analysis or network forensic analysis studies have been performed to the time of writing this paper. This paper explains how can we able to extract the Crypt Key of “WhatsApp” to decrypt the databases and extract precious artefacts resides in the android system without rooting the device. Artefacts that extracted from the last version of WhatsApp have been analysed and correlate to give new valuable evidentiary traces that help in investigating. Many hardware and software tools for mobile and forensics are used to collect as much digital evidence as possible from persistent storage on android device. Some of these tools are commercial like UFED Cellebrite and Andriller, and other are open source tools such as autopsy, adb, WhatCrypt. All of these tools that forensically sound accompanied this research to discover a lot of artefacts resides in android internal storage in WhatsApp application.

SMART PHONE FOR ELDERLY POPULACE

2013 ◽  
Vol 02 (10) ◽  
pp. 33-37 ◽  
Author(s):  
Shiv Kumar Goel .
Keyword(s):  
Smart Phone

Smart Phone Controlled Robot Using ATMEGA328 Microcontroller

2015 ◽  
Vol 03 (01) ◽  
pp. 352-356 ◽  
Author(s):  
ANIKET R. YEOLE ◽  
SAPANA M. BRAMHANKAR ◽  
MONALI D. WANI ◽  
MUKESH P. MAHAJAN
Keyword(s):  
Smart Phone
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