scholarly journals GIS-based NNA and Kernel Density Analysis for Identifying Distribution of Restaurant’s Popularity Index in Bandung

2021 ◽  
Vol 940 (1) ◽  
pp. 012012
Author(s):  
S S A’idah ◽  
D Susiloningtyas ◽  
I P A Shidiq
Keyword(s):  
Application Programming Interface ◽  
Distribution Patterns ◽  
Gis Applications ◽  
Information And Communication ◽  
Density Analysis ◽  
Application Programming ◽  
Surrounding Space ◽  
Kernel Density Analysis ◽  
Programming Interface

Abstract With the advancement of information and communication technology, geographic information systems (GIS) also grow. The existence of GIS allows problems to be solved as much as possible by paying attention to the surrounding space. GIS applications have been widely applied in everyday life including in the culinary field. The existence of GIS in the culinary field can make it easier to find location information where a restaurant is located and find out how the restaurant’s popularity index is. This research focuses on using NNA and KDA to analyze distribution patterns formed from each classification of restaurant popularity index in Bandung and the density of the restaurant point. Restaurant data containing restaurant names, restaurant addresses, restaurant types, food types, and restaurant popularity indexes were obtained from Zomato using Zomato’s Application Programming Interface (API). The result of this research are spatial distribution pattern of the high, medium, and low popularity restaurants in Bandung City showing the same characteristics, clustering and has a large density in several sub-districts.

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

scholarly journals Malware Analysis Using Visualized Image Matrices

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
KyoungSoo Han ◽  
BooJoong Kang ◽  
Eul Gyu Im
Keyword(s):  
Visual Analysis ◽  
Application Programming Interface ◽  
Malware Analysis ◽  
Analysis Method ◽  
Execution Traces ◽  
Similarity Calculation ◽  
Application Programming ◽  
Representative Image ◽  
Programming Interface

This paper proposes a novel malware visual analysis method that contains not only a visualization method to convert binary files into images, but also a similarity calculation method between these images. The proposed method generates RGB-colored pixels on image matrices using the opcode sequences extracted from malware samples and calculates the similarities for the image matrices. Particularly, our proposed methods are available for packed malware samples by applying them to the execution traces extracted through dynamic analysis. When the images are generated, we can reduce the overheads by extracting the opcode sequences only from the blocks that include the instructions related to staple behaviors such as functions and application programming interface (API) calls. In addition, we propose a technique that generates a representative image for each malware family in order to reduce the number of comparisons for the classification of unknown samples and the colored pixel information in the image matrices is used to calculate the similarities between the images. Our experimental results show that the image matrices of malware can effectively be used to classify malware families both statically and dynamically with accuracy of 0.9896 and 0.9732, respectively.

scholarly journals Developing an interactive application embodied in the geosciences educational procedure

2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia
Keyword(s):  
Application Programming Interface ◽  
Google Earth ◽  
Educational Tools ◽  
Related Data ◽  
Primary And Secondary Education ◽  
Interactive Display ◽  
Information And Communication ◽  
Application Programming ◽  
Interactive Application ◽  
Programming Interface

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.

scholarly journals Developing an interactive application embodied in the geosciences educational procedure

2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia
Keyword(s):  
Application Programming Interface ◽  
Google Earth ◽  
Educational Tools ◽  
Related Data ◽  
Primary And Secondary Education ◽  
Interactive Display ◽  
Information And Communication ◽  
Application Programming ◽  
Interactive Application ◽  
Programming Interface

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.

Mobile Networks and Indian Agricultural Sector

2017 ◽  
pp. 60-79 ◽  
Author(s):  
Lokesh Jain ◽  
Harish Kumar
Keyword(s):  
Mobile Networks ◽  
Information Dissemination ◽  
Agricultural Sector ◽  
Fuzzy Rule ◽  
Mobile Network ◽  
Application Programming Interface ◽  
Application Architecture ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interface

Information dissemination in agricultural sector for its growth using information and communication technology (ICT) as a tool is need of the hour. This can be achieved using information systems. ICT benefits are helpful in exchange and dissemination of information among farming stakeholders. By using the latest tool of mobile technology, farmers can get the current information related to their farming jobs around the clock and at any location, as the mobile network have touched every part/location of the India. Using the features of the mobile-phones like GPS etc. one can get the localized information. Only need is to structure the abundant information available across the various organizations. So, a mobile based agricultural information system framework ‘mAgIDS' has been proposed employing the hybrid mobile application architecture approach. Client-server architecture using the location Application Programming Interface (API) has been proposed. Inference mechanism of the system has implemented on the basis of improved fuzzy rule promotion technique.

scholarly journals Cross-Method-Based Analysis and Classification of Malicious Behavior by API Calls Extraction

2019 ◽  
Vol 9 (2) ◽  
pp. 239 ◽  
Author(s):  
Bruce Ndibanje ◽  
Ki Kim ◽  
Young Kang ◽  
Hyun Kim ◽  
Tae Kim ◽  
...  
Keyword(s):  
Application Programming Interface ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
Public Security ◽  
Detection Accuracy ◽  
Malicious Behavior ◽  
Application Programming ◽  
Programming Interface ◽  
Method Show

Data-driven public security networking and computer systems are always under threat from malicious codes known as malware; therefore, a large amount of research and development is taking place to find effective countermeasures. These countermeasures are mainly based on dynamic and statistical analysis. Because of the obfuscation techniques used by the malware authors, security researchers and the anti-virus industry are facing a colossal issue regarding the extraction of hidden payloads within packed executable extraction. Based on this understanding, we first propose a method to de-obfuscate and unpack the malware samples. Additional, cross-method-based big data analysis to dynamically and statistically extract features from malware has been proposed. The Application Programming Interface (API) call sequences that reflect the malware behavior of its code have been used to detect behavior such as network traffic, modifying a file, writing to stderr or stdout, modifying a registry value, creating a process. Furthermore, we include a similarity analysis and machine learning algorithms to profile and classify malware behaviors. The experimental results of the proposed method show that malware detection accuracy is very useful to discover potential threats and can help the decision-maker to deploy appropriate countermeasures.

Mobile Networks and Indian Agricultural Sector

2020 ◽  
pp. 516-535
Author(s):  
Lokesh Jain ◽  
Harish Kumar
Keyword(s):  
Mobile Networks ◽  
Information Dissemination ◽  
Agricultural Sector ◽  
Fuzzy Rule ◽  
Mobile Network ◽  
Application Programming Interface ◽  
Application Architecture ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interface

Information dissemination in agricultural sector for its growth using information and communication technology (ICT) as a tool is need of the hour. This can be achieved using information systems. ICT benefits are helpful in exchange and dissemination of information among farming stakeholders. By using the latest tool of mobile technology, farmers can get the current information related to their farming jobs around the clock and at any location, as the mobile network have touched every part/location of the India. Using the features of the mobile-phones like GPS etc. one can get the localized information. Only need is to structure the abundant information available across the various organizations. So, a mobile based agricultural information system framework ‘mAgIDS' has been proposed employing the hybrid mobile application architecture approach. Client-server architecture using the location Application Programming Interface (API) has been proposed. Inference mechanism of the system has implemented on the basis of improved fuzzy rule promotion technique.

scholarly journals 2020 Global Conference on Wireless and Optical Technologies (GCWOT) Help Pro

2021 ◽  
Author(s):  
ALI YOUSUF KHAN ◽  
Miguel Angel Luque-Nieto ◽  
Samiya Batool ◽  
Hammad Ahmed ◽  
Abdul Hadi Saeed ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Application Programming Interface ◽  
Communication Technologies ◽  
Dijkstra Algorithm ◽  
The World ◽  
Information And Communication ◽  
Smart Tv ◽  
Application Programming ◽  
Programming Interface ◽  
Global Conference

Abstract Information and Communication Technologies are regularly used in medicinal services and associations around the world. The Android working framework-based electronic contraptions, for example, Smartphones, smart TV and tablets are comprehensively utilized for numerous purposes. Within android devices, there are distinctive types of health and medical applications that provide ease to patients and their caretakers to lessen time [1]. This undertaking includes a thought that is proposed, to save lives by a single tap. It is very advantageous for users in case of emergency: through this application, an ambulance could be available within 100 meters of the user’s real-time location. The Dijkstra algorithm is used in this application by Google Maps API (Application Programming Interface) and this way nearest ambulance arrives on time. Consequently, not only time is efficiently saved but also precious lives.

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