Smart Phone: Predicting the Next Call

2012 ◽  
pp. 317-325
Author(s):  
Huiqi Zhang ◽  
Ram Dantu
Keyword(s):  
Smart Phone

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

IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server

2017 ◽  
Vol 7 (7) ◽  
pp. 36
Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Smart Phone ◽  
Medical Professional ◽  
Design Parameters ◽  
Cloud Server ◽  
Significant Area ◽  
Efficient Data ◽  
System Data ◽  
Remote Patient

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Indian Dermoscopic Study of One Thirty Eight Cases of Alopecia Areata

2018 ◽  
Vol 3 (02) ◽  
Author(s):  
Rahul Kumar Sharma, Divya Sharma, Rajendra Kumar Sharma
Keyword(s):  
Alopecia Areata ◽  
Smart Phone ◽  
Cotton Wool ◽  
Exclusion Criteria ◽  
Dermatology Clinic ◽  
Exclamation Mark ◽  
Single Feature ◽  
Males And Females ◽  
Vellus Hairs ◽  
Difficult Cases

Alopecia areata (AA) is a type of non-scarring alopecia first described by Cornelius Celsus, characterized by hair loss without any clinical inflammatory signs and affecting both males and females equally. The activity of AA is by the presence of black dots, broken hair, and tapering, furthermore black dots and yellow dots are equated to severity of AA. Aim - To study dermoscopic features of untreated cases of alopecia areata. Study subjects-All the patients who attended the dermatology clinic from March 2015 to March 2017 with the clinical diagnosis of alopecia areata and who fulfilled the inclusion and exclusion criteria. Study period - Two year (from March 2015 to March 2017). Methodology - All the patients who attended the dermatology clinic from March 2015 to March 2017 with the diagnosis of alopecia areata and who fulfilled the inclusion and exclusion criteria were recruited for the study. Trichoscopy was performed with DL4 dermatoscope. The images were further magnified with smart phone. Results - We got various dermoscopic signs in different combinations in our study. Yellow dots were seen in 10 cases, White dots in cotton wool pattern were seen in 3 cases, Black dots were seen in 25 cases, Dermoscopic coudability sign was demonstrated in 38 cases, Pigtail hairs were present in 2 cases, five cases showed short vellus hairs, Short broken hairs were found in 18 cases, Exclamation mark hairs were very common and were detected in 131 patients out of 138. Discussion - Single feature is not leading to the diagnosis so we should use combination of features which will help in difficult cases like AA incognito. Dermatoscope is an indispensible valuable tool in trichology practice which helps in prognosticating and making early diagnosis of AA. It also helps to differentiate it from trichotillomania and other causes of alopecia. In our study the incidence of AA was almost similar in both sexes. Our study revealed that exclamation mark hair is very common and sensitive dermoscopic marker of AA.

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