Forward Handover for Voice Call Continuity

Nowadays, mobile phones provide not just voice call and messaging services, but plethora of other services. Those computational capabilities allow mobile phones to serve people in various areas including education, banking, commerce, travelling, and other daily life aspects. Meanwhile, the number of mobile phone users has increased dramatically in the last decade. On the other hand, the usability of an application can usually be verified through the user interface. Therefore, this paper aims to design a measurement tool to evaluate the usability of mobile applications based on the usability attributes and dimensions that must be considered in the interface. To obtain the appropriate attributes, a Systematic Literature Review (SLR) has been conducted and the Goal Question Metric (GQM) has been used to design the tool. From 261 related works only 18 most relevant ones were selected, through four SLR. 25 dimensions were found through the SLR, but some of these dimensions are synonymous or a part of other dimensions. Consequently, three dimensions must be included in any usability evaluation instrument, which is broken down into ten sub dimensions.

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Do Top Social Apps Effect Voice Call? Evidence from Propensity Score Matching Methods

Lecture Notes in Computer Science - Smart Computing and Communication ◽

10.1007/978-3-030-34139-8_14 ◽

2019 ◽

pp. 136-149

Author(s):

Hao Jiang ◽

Min Lin ◽

Bingqing Liu ◽

Huifang Liu ◽

Yuanyuan Zeng ◽

...

Keyword(s):

Propensity Score ◽

Propensity Score Matching ◽

Voice Call ◽

Matching Methods

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Aplikasi Media Komunikasi Bagi Penyandang Disabilitas Berbasis Android

Jurnal Teknologi Informasi Indonesia (JTII) ◽

10.30869/jtii.v3i1.180 ◽

2018 ◽

Vol 3 (1) ◽

pp. 7

Author(s):

Saprina Mamase ◽

Ismail Mohidin ◽

Muh. Fadli Hulopi

Keyword(s):

Voice Call

Abstractâ€” Kesulitan yang dirasakan oleh penyandang disabilitas tunarungu dalam berkomunikasi antara lain lawan bicara yang tidak mengerti bahasa isyarat dan lawan berbicara seorang tunanetra. Begitupun yang dirasakan oleh tunanetra yang kesulitan berkomunikasi langsung dengan tunarungu, bila diantaranya diharuskan untuk berkomunikasi pasti memerlukan perantara atau orang ketiga. Kesulitan berkomunikasi jarak jauh pun dirasakan oleh tunarungu dan tunanetra, tunarungu yang biasa menggunakan aplikasi chatting/messaging atau video call secara langsung, sedangkan tunanetra yang menggunakan fitur telepon/voice call langsung. Maka diperlukan aplikasi yang dapat dipakai oleh keduanya. Penelitian ini mengusulkan aplikasi media komunikasi bagi penyandang disabilitas berbasis Android untuk tunarungu dan tunanetra dalam berkomunikasi. Karena bersifat mobile, penulis berharap dengan adanya aplikasi ini, tunarungu dan tunanetra dapat terbantu dalam berkomunikasi jarak jauh.

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IOT BASED APPROACH FOR REMOTELY MONITORING AND ALARMING A DROWSY DRIVER

EPRA International Journal of Research & Development (IJRD) ◽

10.36713/epra7217 ◽

2021 ◽

pp. 76-83

Author(s):

Mr. Aniket Ashok Bhamani ◽

Mr. Sanyam Sanjay Mehta

Keyword(s):

Internet Of Things ◽

Text Message ◽

Road Accidents ◽

Voice Call ◽

Drowsy Driving ◽

The Road ◽

Car Crash ◽

Falling Asleep ◽

Commercial Drivers ◽

Cross Platform

There are a lot of road accidents that occur due to drowsy driving. Drowsy driving is when the driver of a vehicle is found to be sleepy and probable to get into a car crash because of the same. Being drowsy might cause the driver to lose concentration from the road, and also reduce the reaction time. Statistics suggest how thousands of deaths and crashes happen every year due to it. Major victims of such crashes tend to be the commercial drivers who need to drive long distances overnight. Our project intends to propose a solution to this problem by providing an Internet of Things based approach. This approach monitors the driver’s face while he or she is driving the vehicle and in case if the driver is to be found falling asleep, an instant voice call is made to the driver’s registered phone number. Additionally, a text message is also sent to the driver’s emergency contact which will get him/her notified and provide the driver with quick assistance if needed. This approach is unique and different in its own way as it provides cross platform support and remote monitoring of the driver. Additionally, it also makes drowsy-detection ‘device independent’. It offers a simplified mechanism to derive real time accurate results and readings with reduced complexities. This project does have a lot of scope, especially considering that there is a lack of methodologies currently being implemented to prevent road accidents due to drowsy driving. KEYWORDS- Drowsy Driving, Monitoring, Machine Learning, Internet of Things, Remote, Algorithm, Eye Aspect Ratio, Python.

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The Experiences of Students in Using Online Learning Platform During the Covid-19 Lockdown in Indonesia

Indonesian Scholars Scientific Summit Taiwan Proceeding ◽

10.52162/3.2021111 ◽

2021 ◽

Vol 3 ◽

pp. 43-53

Author(s):

Leny Novita ◽

Yu-Chuan Yang ◽

Titin Rahmiatin Rahim

Keyword(s):

Online Learning ◽

Learning Strategies ◽

Qualitative Data ◽

Affective Responses ◽

Voice Call ◽

Online Questionnaire ◽

Technological Support ◽

Learning Platform

This study explores students’ experience using online learning during the COVID 19 in Indonesia. The study employed qualitative data from an online questionnaire and interview through WhatsApp voice call. The experience of the five students during their learning online was examined, analyzed, and described. The findings showed that the five students revealed cognitive and affective responses. There were general themes presented in their responses, including (a) Prefer to study in a real classroom, (b) Creative teachers provide many learning strategies and are consistent, (c) Feeling bored and tired while studying online, (d) Family and technological support.

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