Application Development and Deployment for IoT Devices

2018 ◽  
pp. 74-85
Author(s):  
Farshad Ahmadighohandizi ◽  
Kari Systä
Keyword(s):  
Application Development ◽  
Iot Devices

scholarly journals Composing High-level Stream Processing Pipelines

2020 ◽  
Author(s):  
Tanmaya Mahapatra
Keyword(s):  
Data Analytics ◽  
State Of The Art ◽  
Stream Processing ◽  
Detailed Comparison ◽  
Application Development ◽  
Actor Model ◽  
Data Transformations ◽  
Simulation Scenario ◽  
Iot Devices ◽  
High Level

Abstract The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex. The process entails working with heterogeneous devices via various communication protocols to co-ordinate and fetch datasets, followed by a series of data transformations. Graphical mashup tools, based on the principles of flow-based programming paradigm, operating at a higher-level of abstraction are in widespread use to support rapid prototyping of IoT applications. Nevertheless, the current state-of-the-art mashup tools suffer from several architectural limitations which prevent composing in-flow data analytics pipelines. In response to this, the paper contributes by (i) designing novel flow-based programming concepts based on the actor model to support data analytics pipelines in mashup tools, prototyping the ideas in a new mashup tool called aFlux and providing a detailed comparison with the existing state-of-the-art and (ii) enabling easy prototyping of streaming applications in mashup tools by abstracting the behavioural configurations of stream processing via graphical flows and validating the ease as well as the effectiveness of composing stream processing pipelines from an end-user perspective in a traffic simulation scenario.

scholarly journals Sensor Virtualization Module: Virtualizing IoT Devices on Mobile Smartphones for Effective Sensor Data Management

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
JeongGil Ko ◽  
Byung-Bog Lee ◽  
Kyesun Lee ◽  
Sang Gi Hong ◽  
Naesoo Kim ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Software Architecture ◽  
Sensor Data ◽  
Application Development ◽  
Mobile Platforms ◽  
Embedded Devices ◽  
End To End ◽  
Iot Devices ◽  
Sensor Data Management

The vision of theInternet of Things (IoT)is coming closer to reality as a large number of embedded devices are introduced to our everyday environments. For many commercial IoT devices, ubiquitously connected mobile platforms can provide global connectivity and enable various applications. Nevertheless, the types of IoT resource-utilizing applications are still limited due to the traditional stovepipe software architecture, where the vendors provide supporting software on an end-to-end basis. This paper tries to address this issue by introducing theSensor Virtualization Module (SVM), which provides a software abstraction for external IoT objects and allows applications to easily utilize various IoT resources through open APIs. We implement the SVM on both Android and iOS and show that the SVM architecture can lead to easy development of applications. We envision that this simplification in application development will catalyze the development of various IoT services.

scholarly journals Composing high-level stream processing pipelines

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Tanmaya Mahapatra
Keyword(s):  
Data Analytics ◽  
State Of The Art ◽  
Stream Processing ◽  
Detailed Comparison ◽  
Application Development ◽  
Actor Model ◽  
Data Transformations ◽  
Simulation Scenario ◽  
Iot Devices ◽  
High Level

Abstract The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex. The process entails working with heterogeneous devices via various communication protocols to co-ordinate and fetch datasets, followed by a series of data transformations. Graphical mashup tools, based on the principles of flow-based programming paradigm, operating at a higher-level of abstraction are in widespread use to support rapid prototyping of IoT applications. Nevertheless, the current state-of-the-art mashup tools suffer from several architectural limitations which prevent composing in-flow data analytics pipelines. In response to this, the paper contributes by (i) designing novel flow-based programming concepts based on the actor model to support data analytics pipelines in mashup tools, prototyping the ideas in a new mashup tool called aFlux and providing a detailed comparison with the existing state-of-the-art and (ii) enabling easy prototyping of streaming applications in mashup tools by abstracting the behavioural configurations of stream processing via graphical flows and validating the ease as well as the effectiveness of composing stream processing pipelines from an end-user perspective in a traffic simulation scenario.

scholarly journals Composing High-level Stream Processing Pipelines

2020 ◽  
Author(s):  
Tanmaya Mahapatra
Keyword(s):  
Data Analytics ◽  
State Of The Art ◽  
Stream Processing ◽  
Detailed Comparison ◽  
Application Development ◽  
Actor Model ◽  
Data Transformations ◽  
Simulation Scenario ◽  
Iot Devices ◽  
High Level

Abstract The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex. The process entails working with heterogeneous devices via various communication protocols to co-ordinate and fetch datasets, followed by a series of data transformations. Graphical mashup tools, based on the principles of flow-based programming paradigm, operating at a higher-level of abstraction are in widespread use to support rapid prototyping of IoT applications. Nevertheless, the current state-of-the-art mashup tools suffer from several architectural limitations which prevent composing in-flow data analytics pipelines. In response to this, the paper contributes by (i) designing novel flow-based programming concepts based on the actor model to support data analytics pipelines in mashup tools, prototyping the ideas in a new mashup tool called aFlux and providing a detailed comparison with the existing state-of-the-art and (ii) enabling easy prototyping of streaming applications in mashup tools by abstracting the behavioural configurations of stream processing via graphical flows and validating the ease as well as the effectiveness of composing stream processing pipelines from an end-user perspective in a traffic simulation scenario.

PERANCANGAN SISTEM PEMBELAJARAN MOBILE (M-LEARNING) BERBASIS ANDROID PADA MATERI BANGUN DATAR DAN BANGUN RUANG

2018 ◽  
Vol 1 (2) ◽  
pp. 1-17
Author(s):  
Tedi Budiman
Keyword(s):  
Mobile Learning ◽  
Design Method ◽  
Case Study Method ◽  
Application Development ◽  
Software Application ◽  
Rapid Application Development ◽  
User Design ◽  
Design Software ◽  
Application Programs

One example of the growing information technology today is mobile learning, mobile learning which refers to mobile technology as a learning medium. Mobile learning is learning that is unique for each student to access learning materials anywhere, anytime. Mobile learning is suitable as a model of learning for the students to make it easier to get an understanding of a given subject, such as math is pretty complicated and always using formulas.The design method that I use is the case study method, namely, learning, searching and collecting data related to the study. While the development of engineering design software application programs that will be used by the author is the method of Rapid Application Development (RAD), which consists of 4 stages: Requirements Planning Phase, User Design Phase, Construction Phase and Phase Cotuver.

Implementation of Booking Performance Application Using Bootstrap Case Study in PT XYZ

2019 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Arfan Sansprayada ◽  
Kartika Mariskhana
Keyword(s):  
Information System ◽  
Business Processes ◽  
System Development ◽  
Basic Requirement ◽  
Application Development ◽  
Information System Development ◽  
Special Expertise ◽  
A Company ◽  
Need For Information

Abstract—The need for information system development in a company is a basic requirement that must be met by each company in order to run its business processes properly. This is the basic key in a company in order to provide maximum results to find as many profits or profits. Application development or requirements in the application also provide speed for employees to carry out their activities to work properly and optimally. The development of the era requires that companies must be productive and have innovations so that the business wheel of the company can run well. This is based on the development of technology that is so fast that it requires special expertise in its application. This research is expected to be able to help some problems that exist in a company. Where its application can make it easier for employees to carry out their respective duties and roles in order to maximize their potential. For companies, the application of this application can accommodate the company's business wheels so that they can be properly and correctly documented .   Keywords : Systems, Information, Applications

Heuristic vs Metaheuristic Method: Improvement of Spoofed Fingerprint Identification in IoT Devices

2019 ◽  
Vol 12 (3) ◽  
pp. 168
Author(s):  
Guruh Fajar Shidik ◽  
Edi Jaya Kusuma ◽  
Safira Nuraisha ◽  
Pulung Nurtantio Andono
Keyword(s):  
Fingerprint Identification ◽  
Iot Devices ◽  
Method Improvement

RANCANG BANGUN MODEL PERANGKAT LUNAK INFORMASI UKM KOTA PALEMBANG

2017 ◽  
Vol 8 (2) ◽  
pp. 611
Author(s):  
Ahmad Haidar Mirza ◽  
Ade Putra
Keyword(s):  
User Interface ◽  
Application Development ◽  
Rapid Application Development ◽  
Design Database

Usaha Kecil dan Menengah (UKM) merupakan suatu kegiatan usaha menghasilkan suatu produk komoditi yang berada pada level menengah kebawah, dimana sektor usaha ini lebih menyentuh langsung dalam hal peningkatan kesejahteraan masyarakat luas yang pada umumnya adalah masyarakat menengah kebawah, sektor usaha UKM mampu memberikan pertumbuhan ekonomi yang signifikan walaupun pertumbuhannya tidak cepat seperti sektor perekonomian yang lain. Rancang bangun model perangkat lunak UKM Kota Palembang diharapkan mampu memberikan stimulus yang pesat terhadap pertumbuhan ekonomi khususnya sektor UKM Kota Palembang serta membantu pihak – pihak yang terkait baik instansi yang membutuhkan, masyarakat luas dan para inventor, dimana dalam mengembangkan rancang bangun model perangkat lunak UKM Kota Palembang meggunakan 2 metode yaitu metode Database Lifecylce untuk pengembangan Database sebagai media penyimpanan data melalui beberapa proses antara lain Design Database secara Konseptual, Design Database secara Logikal serta Design Database secara Fisikal dan metode Rapid Application Development (RAD) untuk pengembangan User Interface sebagai rancangan tampilan terhadap rancang bangun model perangkat lunak UKM Kota Palembang.

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