The document provides an overview of communication capabilities in Android, including networking, useful networking libraries, Bluetooth, and Near Field Communication (NFC). It discusses how to connect to networks, perform network operations on a separate thread, check network connectivity, download data using HTTPURLConnection, and efficiently manage network usage. Libraries covered include Retrofit, okHTTP, Volley, and RoboSpice. The document also provides examples of discovering Bluetooth devices, connecting to Bluetooth devices, and implementing Bluetooth profiles. It concludes with a brief description of NFC technology.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/
Open Programmable Architecture for Java-enabled Network DevicesTal Lavian Ph.D.
Current network devices enable connectivity between end systems given a set of protocol software bundled with vendor hardware. It is impossible for customers to add software functionality running locally on top of network devices to augment vendor software. Our vision is to open network devices so that customized software can be downloaded, allowing for more flexibility and with a focus on industry and customer specific solutions. This brings considerable value to the customer. We have chosen to use Java because we can reuse its security mechanism and
dynamically download software. We can isolate the Java VM and downloaded Java programs from the core router functionality. We implemented Java Virtual Machines (JVMs) on a family of network devices,
implemented an Open Services framework, and developed an SNMP MIB API and a Network API upon which we can demonstate the value of openness and programmability of network devices.
Location Provider with Privacy Using Localized Server and GPS Editor IJCATR
Maps are an essential part of any handheld device and use constantly used for navigation and other resources by application for providing location based data which can be used for customized examination outcomes, however these data are conservatively stowed on a L.B.S Server which are susceptible to attacks and misuse as these data’s are not usually have any significant security so these data’s can be sold or misused by some other parties. We try to eliminate the problem as well as provided added functionality to the conventional maps by providing a customizable map which has the added functionality of offline use mode in addition to the online mode
FRONT END AND BACK END DATABASE SECURITY IN THREE TIER WEB APPLICATIONijiert bestjournal
This system turns away these sort of attacks and ke ep the customer record from request from hacking. By using IDS it can offer security to both web server and da tabase server using mapping of sender require and t he search from web server to database. This edge work is fit to distinguish the ambushes that past intrusion ide ntification framework was not ready to do. This structure or fr amework does this work by isolating the surge of information from each web server session. It assess es the disclosure precision when framework tries to model static and dynamic web request and queries. Additio nally this framework shows this stayed valid for el ement demand where both recuperation of information and u pdates to the back end database happen using the we b server front end.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANDROID BASED WS SECURITY AND MVC BASED UI REPRESENTATION OF DATAIJCSEIT Journal
Google’s Android is open source; Programmable software framework is subject to typical Smartphone
attacks. Such attacks can make the phone partially or fully unusable, cause unwanted changes. While
accessing data over web services there should be security mechanisms like encryption of data on server
side and decryption using key on client side so that attacks can cause minimal damage to device and data
integrity
In the second part we have tried to implement here is that representation of data in UI in MVC architecture
so that data can be separated from the representation details and user can view data in a manner
whichever gives him/her comfort in analyzing the data.
mumble: Framework for Seamless Message Transfer on SmartphonesAnand Bhojan
This work explores the possibility of transferring data between mobile devices that are nearby each other without the need of pairing, authentication, superuser access and Internet connectivity. Such technology can be used for emergency broadcast, traffic congestion avoidance, IoT, smart city, social and dating systems and games. Except Bluetooth Low Energy technology, there is no other protocol or technology available that allows pairing-free data transfer without Internet connectivity. Bluetooth Low Energy is capable of doing so but at a relatively short range. Using Wi-Fi Direct's Service Broadcast and Discovery, a simple yet novel method is developed which allows for seamless long range (Wi-Fi range) data transfer without Internet connectivity.
The design details of FATS-mumble can be found in the paper (http://www.comp.nus.edu.sg/~bhojan/papers/mumble15.pdf) published in ACM Mobicom 2015 SmartObjects. Please use it for all the references of this mumble project.
The project is open sourced (Github Link): https://github.com/FatsGW/FATS-Mumble.
Demo: http://youtu.be/ACmNYLd2NlI
Offline and Online Bank Data Synchronization Systemijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Configuring lifa for remote communication using web architectureVatsal N Shah
This paper presents remote transmission of Temperature parameters using web architecture based on LIFA to remote Engineer for analysis. Web services enable the invocation of a method on a remote target using standard Web-based protocols. A client sends a request to a remote server, which processes the request and replies with a response, which is then interpreted and displayed by the client application. One relies on this communication method for everyday activities such as browsing the Web, checking e-mails, etc. Online data from the sensors can viewed in graphical form showing changes with respect to time.
Contemporary Energy Optimization for Mobile and Cloud Environmentijceronline
Cloud and mobile computing applications are increasing heavily in terms of usage. These two areas extending usability of systems. This review paper gives information about cloud and mobile applications in terms of resources they consume and the need of choosing variety of features for users from several locations and the evolutionary provisions for service provider and end users. Both the fields are combined to provide good functionality, efficiency and effectiveness with mobile phones. The enhancement by considering power consumption by means of resource constrained nature of devices, communication media and cost effectiveness. This paper discuss about the concepts related to power consumption, underlying protocols and the other performance issues
Optimize Data Connectivity in .NET ApplicationsAbhishek Kant
When it comes to Data Access performance of .NET application, many people focus on the tuning and optimizing the Backend datasources. But there is lot to gain from just tuning your connectivity solutions for the need of your application.
This presentation focuses on how to tune your ADO.NET connectivity solution to get the best performance out of them, with the examples.
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/
Open Programmable Architecture for Java-enabled Network DevicesTal Lavian Ph.D.
Current network devices enable connectivity between end systems given a set of protocol software bundled with vendor hardware. It is impossible for customers to add software functionality running locally on top of network devices to augment vendor software. Our vision is to open network devices so that customized software can be downloaded, allowing for more flexibility and with a focus on industry and customer specific solutions. This brings considerable value to the customer. We have chosen to use Java because we can reuse its security mechanism and
dynamically download software. We can isolate the Java VM and downloaded Java programs from the core router functionality. We implemented Java Virtual Machines (JVMs) on a family of network devices,
implemented an Open Services framework, and developed an SNMP MIB API and a Network API upon which we can demonstate the value of openness and programmability of network devices.
Location Provider with Privacy Using Localized Server and GPS Editor IJCATR
Maps are an essential part of any handheld device and use constantly used for navigation and other resources by application for providing location based data which can be used for customized examination outcomes, however these data are conservatively stowed on a L.B.S Server which are susceptible to attacks and misuse as these data’s are not usually have any significant security so these data’s can be sold or misused by some other parties. We try to eliminate the problem as well as provided added functionality to the conventional maps by providing a customizable map which has the added functionality of offline use mode in addition to the online mode
FRONT END AND BACK END DATABASE SECURITY IN THREE TIER WEB APPLICATIONijiert bestjournal
This system turns away these sort of attacks and ke ep the customer record from request from hacking. By using IDS it can offer security to both web server and da tabase server using mapping of sender require and t he search from web server to database. This edge work is fit to distinguish the ambushes that past intrusion ide ntification framework was not ready to do. This structure or fr amework does this work by isolating the surge of information from each web server session. It assess es the disclosure precision when framework tries to model static and dynamic web request and queries. Additio nally this framework shows this stayed valid for el ement demand where both recuperation of information and u pdates to the back end database happen using the we b server front end.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANDROID BASED WS SECURITY AND MVC BASED UI REPRESENTATION OF DATAIJCSEIT Journal
Google’s Android is open source; Programmable software framework is subject to typical Smartphone
attacks. Such attacks can make the phone partially or fully unusable, cause unwanted changes. While
accessing data over web services there should be security mechanisms like encryption of data on server
side and decryption using key on client side so that attacks can cause minimal damage to device and data
integrity
In the second part we have tried to implement here is that representation of data in UI in MVC architecture
so that data can be separated from the representation details and user can view data in a manner
whichever gives him/her comfort in analyzing the data.
mumble: Framework for Seamless Message Transfer on SmartphonesAnand Bhojan
This work explores the possibility of transferring data between mobile devices that are nearby each other without the need of pairing, authentication, superuser access and Internet connectivity. Such technology can be used for emergency broadcast, traffic congestion avoidance, IoT, smart city, social and dating systems and games. Except Bluetooth Low Energy technology, there is no other protocol or technology available that allows pairing-free data transfer without Internet connectivity. Bluetooth Low Energy is capable of doing so but at a relatively short range. Using Wi-Fi Direct's Service Broadcast and Discovery, a simple yet novel method is developed which allows for seamless long range (Wi-Fi range) data transfer without Internet connectivity.
The design details of FATS-mumble can be found in the paper (http://www.comp.nus.edu.sg/~bhojan/papers/mumble15.pdf) published in ACM Mobicom 2015 SmartObjects. Please use it for all the references of this mumble project.
The project is open sourced (Github Link): https://github.com/FatsGW/FATS-Mumble.
Demo: http://youtu.be/ACmNYLd2NlI
Offline and Online Bank Data Synchronization Systemijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Configuring lifa for remote communication using web architectureVatsal N Shah
This paper presents remote transmission of Temperature parameters using web architecture based on LIFA to remote Engineer for analysis. Web services enable the invocation of a method on a remote target using standard Web-based protocols. A client sends a request to a remote server, which processes the request and replies with a response, which is then interpreted and displayed by the client application. One relies on this communication method for everyday activities such as browsing the Web, checking e-mails, etc. Online data from the sensors can viewed in graphical form showing changes with respect to time.
Contemporary Energy Optimization for Mobile and Cloud Environmentijceronline
Cloud and mobile computing applications are increasing heavily in terms of usage. These two areas extending usability of systems. This review paper gives information about cloud and mobile applications in terms of resources they consume and the need of choosing variety of features for users from several locations and the evolutionary provisions for service provider and end users. Both the fields are combined to provide good functionality, efficiency and effectiveness with mobile phones. The enhancement by considering power consumption by means of resource constrained nature of devices, communication media and cost effectiveness. This paper discuss about the concepts related to power consumption, underlying protocols and the other performance issues
Optimize Data Connectivity in .NET ApplicationsAbhishek Kant
When it comes to Data Access performance of .NET application, many people focus on the tuning and optimizing the Backend datasources. But there is lot to gain from just tuning your connectivity solutions for the need of your application.
This presentation focuses on how to tune your ADO.NET connectivity solution to get the best performance out of them, with the examples.
Energy Optimized Link Selection Algorithm for Mobile Cloud ComputingEswar Publications
Mobile cloud computing is the revolutionary distributed computing research area which consists of three different domains: cloud computing, wireless networks and mobile computing targeting to improve the task computational capabilities of the mobile devices in order to minimize the energy consumption. Heavy computations can be offloaded to the cloud to decrease energy consumption for the mobile device. In some mobile cloud applications, it has been more energy inefficient to use the cloud compared to the conventional computing conducted in the local device. Despite mobile cloud computing being a reliable idea, still faces several
problems for mobile phones such as storage, short battery life and so on. One of the most important concerns for mobile devices is low energy consumption. Different network links has different bandwidths to uplink and downlink task as well as data transmission from mobile to cloud or vice-versa. In this paper, a novel optimal link selection algorithm is proposed to minimize the mobile energy. In the first phase, all available networks are
scanned and then signal strength is calculated. All the calculated signals along with network locations are given
input to the optimal link selection algorithm. After the execution of link selection algorithm, an optimal network link is selected.
Weighted Round Robin Load Balancer to Enhance Web Server Cluster in OpenFlow ...TELKOMNIKA JOURNAL
Web server clusters require a reliable network management for increasing the quality of service
(QoS). A load balancer system installed in a software-defined network (SDN) is one method that can
improve the performance and availability of web server services. SDN is a dynamic and a programmable
network management approach, and one protocol that supports it is OpenFlow. This research aims to
design and analyse a model of a load balancer on OpenFlow networks, implementing a Weighted Round
Robin (WRR) algorithm. The analysis process is conducted by measuring the value of a QoS web server
performance parameters, such as response time, throughput, HTTP success, and loss connection. The
results showed the WRR algorithm can be implemented for balancing a network system with dynamic
resource allocation. The weight workload of each service can be obtained from the needs and existing
network resources. The performance of a load balancer on an OpenFlow network is 57% better than in a
traditional one for testing of response time conducted in a high connection. However, the throughput and
HTTP success connection decreased by 2% and 10%, respectively, while HTTP loss connection increased
by 49%.
Load Balance in Data Center SDN Networks IJECEIAES
In the last two decades, networks had been changed according to the rapid changing in its requirements. The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations. The current networking devices with its control a nd forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs. Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce un derutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
3. Connecting to the Network
We are going to learn how to implement a simple application that connects to the
network. It explains some of the best practices you should follow in creating even
the simplest network-connected app.
Note that to perform the network operations described in this lecture, your
application manifest must include the following permissions:
<uses-permission android:name="android.permission.INTERNET"/>
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE"/>
Most network-connected Android apps use HTTP to send and receive data. The
Android platform includes the HttpURLConnection client, which supports HTTPS,
streaming uploads and downloads, configurable timeouts, IPv6, and connection
pooling.
3
4. Check the Network Connection
Before your app attempts to connect to the network, it should check to see whether a
network connection is available using getActiveNetworkInfo() and isConnected().
Remember, the device may be out of range of a network, or the user may have disabled
both Wi-Fi and mobile data access.
ConnectivityManager connMgr = (ConnectivityManager)
context.getSystemService(Context.CONNECTIVITY_SERVICE);
NetworkInfo networkInfo = connMgr.getActiveNetworkInfo();
if (networkInfo != null && networkInfo.isConnected()) {
// fetch data
} else {
// display error
}
4
5. Network Operations on a Separate Thread
Network operations can involve unpredictable delays. To prevent this from causing a poor user
experience, always perform network operations on a separate thread from the UI. The AsyncTask
class provides one of the simplest ways to fire off a new task from the UI thread.
private class DownloadWebpageTask extends AsyncTask<String, Void, String> {
@Override
protected String doInBackground(String... urls) {
try {
return downloadUrl(urls[0]);
} catch (IOException e) {
return "Unable to retrieve web page. URL may be invalid.";
}
}
@Override
protected void onPostExecute(String result) {
textView.setText(result); // Executes in Main Thread
}
} 5
6. Connect and Download Data
In your thread that performs your network transactions, you can use HttpURLConnection to
perform a GET and download your data. After you call connect(), you can get an InputStream of
the data by calling getInputStream().
private String downloadUrl(String myurl) throws IOException {
InputStream is = null;
int len = 500; // Only display the first 500 characters
try {
URL url = new URL(myurl);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod("GET");
connection.setDoInput(true);
connection.connect(); // Starts the query
Log.d(DEBUG_TAG, "The response code is: " + conn.getResponseCode()); // HTTP Response code
is = connection.getInputStream();
return readToString(is, len); // Convert the InputStream into a string; See next slide
} finally {
if (is != null)
is.close(); // Makes sure that the InputStream is close
}
} 6
7. Convert the InputStream to a Data
7
In the example shown above, the InputStream represents the text of a web page. This is how the
example converts the InputStream to a string so that the activity can display it in the UI:
public String readToString(InputStream stream, int len) throws IOException, UnsupportedEncodingException {
Reader reader = null;
reader = new InputStreamReader(stream, "UTF-8");
char[] buffer = new char[len];
reader.read(buffer);
return new String(buffer);
}
An InputStream is a readable source of bytes. Once you get an InputStream, it's common to
decode or convert it into a target data type. For example, if you were downloading image data, you
might decode and display it like this:
InputStream is = null;
… // Get some data
Bitmap bitmap = BitmapFactory.decodeStream(is);
ImageView imageView = (ImageView) findViewById(R.id.image_view);
imageView.setImageBitmap(bitmap);
8. Managing Network Usage
It is important to know how to write applications that have fine-grained control over
their usage of network resources.
If your application performs a lot of network operations, you should provide user
settings that allow users to control your app’s data habits, such as how often your
app syncs data, whether to perform uploads/downloads only when on Wi-Fi,
whether to use data while roaming, and so on. With these controls available to
them, users are much less likely to disable your app’s access to background data
when they approach their limits, because they can instead precisely control how
much data your app uses.
8
9. Check a Device's Network Connection
A device can have various types of network connections. This lesson focuses on using either a
Wi-Fi or a mobile network connection. For the full list of possible network types, see
ConnectivityManager.
Wi-Fi is typically faster. Also, mobile data is often metered, which can get expensive. A common
strategy for apps is to only fetch large data if a Wi-Fi network is available.
Before you perform network operations, it's good practice to check the state of network
connectivity. Among other things, this could prevent your app from inadvertently using the
wrong radio. If a network connection is unavailable, your application should respond gracefully.
9
10. Network Connection Type Example
To check the network connection, you typically use the following classes:
● ConnectivityManager: Answers queries about the state of network connectivity. It also
notifies applications when network connectivity changes.
● NetworkInfo: Describes the status of a network interface of a given type (currently either
Mobile or Wi-Fi).
private static final String DEBUG_TAG = "NetworkStatusExample";
ConnectivityManager connMgr = (ConnectivityManager)
getSystemService(Context.CONNECTIVITY_SERVICE);
NetworkInfo networkInfo = connMgr.getNetworkInfo(ConnectivityManager.TYPE_WIFI);
boolean isWifiConnected = networkInfo.isConnected();
networkInfo = connMgr.getNetworkInfo(ConnectivityManager.TYPE_MOBILE);
boolean isMobileConnected = networkInfo.isConnected();
Log.d(DEBUG_TAG, "Wifi connected: " + isWifiConnected);
Log.d(DEBUG_TAG, "Mobile connected: " + isMobileConnected);
10
11. Efficient Network Access
Using the wireless radio to transfer data is potentially one of your
app's most significant sources of battery drain. To minimize the
battery drain associated with network activity, it's critical that you
understand how your connectivity model will affect the underlying
radio hardware.
It is good approach to minimize your data connections, use
prefetching, and bundle your transfers in order to minimize the
battery drain associated with your data transfers.
11
12. The Radio State Machine
The state machine for a typical 3G network radio consists of three energy states:
● Full power: Used when a connection is active, allowing the device to transfer
data at its highest possible rate.
● Low power: An intermediate state that uses around 50% of the battery power
at the full state.
● Standby: The minimal energy state during which no network connection is
active or required.
12
13. How Apps Impact the Radio States
13
For example, an app that transfers unbundled data for 1 second every 18 seconds will keep the
wireless radio perpetually active, moving it back to high power just as it was about to become idle.
As a result, every minute it will consume battery at the high power state for 18 seconds, and at the
low power state for the remaining 42 seconds.
By comparison, the same app that bundles transfers of 3 seconds of every minute will keep the
radio in the high power state for only 8 seconds, and will keep it in the low power state for only an
additional 12 seconds.
14. Prefetch Data
14
“The single most important measure: transmit as much data
as possible in a single burst and then end the connection.”
AT&T Labs
By front loading your transfers, you reduce the number of radio activations required to
download the data. As a result you not only conserve battery life, but also improve the
latency, lower the required bandwidth, and reduce download times.
Prefetching also provides an improved user experience by minimizing in-app latency
caused by waiting for downloads to complete before performing an action or viewing
data.
15. Android Libs for Effective Networking
15
Just a small amount of them
● Retrofit
● okHttp
● Volley
● RoboSpice
16. Retrofit Advantages
16
A type-safe HTTP client for Android for REST interfaces
From their site: "Retrofit turns your REST API into a Java interface.” It’s an elegant solution for
organizing API calls in a project. The request method and relative URL are added with an annotation,
which makes code clean and simple.
With annotations, you can easily add a request body, manipulate the URL or headers and add query
parameters.
Adding a return type to a method will make it synchronous, while adding a Callback will allow it to
finish asynchronously with success or failure.
Retrofit uses Gson by default, so there is no need for custom parsing. Other converters are supported
as well.
17. Retrofit Example
17
public interface RetrofitInterface {
@GET("/api/user")
User getUser(@Query("user_id") int userId, Callback<User> callback);// asynchronously with a callback
@POST("/api/user/register")
User registerUser(@Body User user);// synchronously
}
RetrofitInterface retrofitInterface = new RestAdapter.Builder()
.setEndpoint(API.API_URL).build().create(RetrofitInterface.class);
// fetch user with id 42
retrofitInterface.getUser(42, new Callback<User>() {
@Override
public void success(User user, Response response) {
}
@Override
public void failure(RetrofitError retrofitError) {
}
});
18. okHttp
18
OkHttp is an modern, fast and efficient Http client which supports HTTP/2 and SPDY and does a lot of
stuff for you. Reading how many things OkHttp does it’s a good way to understand how hard
networking is: Connection pooling, gziping, caching, recovers from network problems, sync and async
calls, redirects, retries … and so on.
OkHttp is a very capable networking tool out of the box, without the need of any REST library (Retrofit,
Volley…) and probably is the library most developers would choose if they could only include one
library in their projects.
OkHttp sits on top of Okio, a library that complements java.io and java.nio to make it much easier to
access, store, and process your data. It provides fast I/O and resizable buffers.
OkHttp depends Okio, but Okio can be used by its own.
19. Volley
19
Volley is a REST client that makes easy common networking tasks. Takes care of requesting, loading,
caching, threading, synchronization and some more stuff. It’s ready to deal with JSON, images,
caching, raw text and allow some customization.
Volley was design for RPC style network operations that populate the UI. Is good for short operations.
Volley by default uses as transport layer the Apache Http stack on Froyo and HttpURLConnection
stack on Gingerbread and above. The reason is there are problems with those http stacks have on
different Android versions.
Volley allow us to easily set up OkHttp as its transport layer.
Volley was developed by Google.
20. Volley Example
20
final TextView mTextView = (TextView) findViewById(R.id.text);
… // Do something important
// Instantiate the RequestQueue.
RequestQueue queue = Volley.newRequestQueue(this);
String url ="http://www.google.com";
// Request a string response from the provided URL.
StringRequest stringRequest = new StringRequest(Request.Method.GET, url,
new Response.Listener<String>() {
@Override
public void onResponse(String response) {
// Display the first 500 characters of the response string.
mTextView.setText("Response is: "+ response.substring(0,500));
}
}, new Response.ErrorListener() {
@Override
public void onErrorResponse(VolleyError error) {
mTextView.setText("That didn't work!");
}
});
queue.add(stringRequest); // Add the request to the RequestQueue.
21. RoboSpice
21
● perform a REST request to a web service (e.g. GitHub API)
● convert JSON results to POJOs (Plain Old Java Object)
● cache them on disk
● let you control cache expiry
● notify you app, on the UI thread, when result is ready.
public class DataListRequest extends SpringAndroidSpiceRequest<DataList> {
private String user;
public DataListRequest (String user) {
super(DataList.class);
this.user = user;
}
@Override
public DataList loadDataFromNetwork() throws Exception {
String url = String.format("https://api.site.com/users/%s/data", user);
return getRestTemplate().getForObject(url, DataList.class);
}
}
23. Bluetooth
23
The Android platform includes support for the Bluetooth network stack, which allows a
device to wirelessly exchange data with other Bluetooth devices. The application
framework provides access to the Bluetooth functionality through the Android Bluetooth
APIs. These APIs let applications wirelessly connect to other Bluetooth devices, enabling
point-to-point and multipoint wireless features.
Using the Bluetooth APIs, an Android application can perform the following:
● Scan for other Bluetooth devices
● Query the local Bluetooth adapter for paired Bluetooth devices
● Establish RFCOMM channels
● Connect to other devices through service discovery
● Transfer data to and from other devices
● Manage multiple connections
24. Bluetooth Permissions
24
In order to use Bluetooth features in your application, you must declare the Bluetooth
permission BLUETOOTH. You need this permission to perform any Bluetooth
communication.
If you want your app to initiate device discovery or manipulate Bluetooth settings, you
must also declare the BLUETOOTH_ADMIN permission. Most applications need this
permission solely for the ability to discover local Bluetooth devices. The other abilities
granted by this permission should not be used, unless the application is a "power
manager" that will modify Bluetooth settings upon user request. If you use
BLUETOOTH_ADMIN permission, then you must also have the BLUETOOTH permission.
<uses-permission android:name="android.permission.BLUETOOTH" />
25. Beginning work with Bluetooth
25
Get the BluetoothAdapter
BluetoothAdapter mBluetoothAdapter = BluetoothAdapter.getDefaultAdapter();
if (mBluetoothAdapter == null) {
// Device does not support Bluetooth
}
Enable Bluetooth if not enabled
if (!mBluetoothAdapter.isEnabled()) {
Intent enableBluetoothIntent= new Intent(BluetoothAdapter.ACTION_REQUEST_ENABLE);
startActivityForResult(enableBluetoothIntent, REQUEST_ENABLE_BT);
}
Optionally, your application can also listen for the ACTION_STATE_CHANGED broadcast Intent, which
the system will broadcast whenever the Bluetooth state has changed. This broadcast contains the
extra fields EXTRA_STATE and EXTRA_PREVIOUS_STATE, containing the new and old Bluetooth
states, respectively. Possible values for these extra fields are STATE_TURNING_ON, STATE_ON,
STATE_TURNING_OFF, and STATE_OFF.
26. Discovery
26
Device discovery is a scanning procedure that
searches the local area for Bluetooth enabled devices
and then requesting some information about each one
(this is sometimes referred to as "discovering,"
"inquiring" or "scanning"). However, a Bluetooth device
within the local area will respond to a discovery
request only if it is currently enabled to be
discoverable. If a device is discoverable, it will respond
to the discovery request by sharing some information,
such as the device name, class, and its unique MAC
address. Using this information, the device performing
discovery can then choose to initiate a connection to
the discovered device.
27. Querying paired devices
27
Before performing device discovery, its worth querying the set of paired devices to see if
the desired device is already known. To do so, call getBondedDevices(). This will return
a Set of BluetoothDevices representing paired devices. For example, you can query all
paired devices and then show the name of each device to the user:
Set<BluetoothDevice> pairedDevices = mBluetoothAdapter.getBondedDevices();
if (pairedDevices.size() > 0) {
// Loop through paired devices
for (BluetoothDevice device : pairedDevices) {
// Just output Name and Address to log
Log.d("Devices Info: ", device.getName() + "n" + device.getAddress());
}
}
28. Connecting to Devices
28
When you want to connect two devices, one must act as a server by holding an open
BluetoothServerSocket. The purpose of the server socket is to listen for incoming
connection requests and when one is accepted, provide a connected BluetoothSocket.
When the BluetoothSocket is acquired from the BluetoothServerSocket, the
BluetoothServerSocket can (and should) be discarded, unless you want to accept
more connections.
● Get a BluetoothServerSocket by calling the
listenUsingRfcommWithServiceRecord(String, UUID).
● Start listening for connection requests by calling accept().
● Unless you want to accept additional connections, call close().
See more, e.g. on https://developer.android.com/guide/topics/connectivity/bluetooth.html
29. Bluetooth Profiles
29
You can implement the interface BluetoothProfile to write your own classes to support a
particular Bluetooth profile. The Android Bluetooth API provides implementations for the
following Bluetooth profiles:
● Headset. The Headset profile provides support for Bluetooth headsets to be used
with mobile phones.
● A2DP. The Advanced Audio Distribution Profile (A2DP) profile defines how high
quality audio can be streamed from one device to another over a Bluetooth
connection.
● Health Device. Android 4.0 (API level 14) introduces support for the Bluetooth
Health Device Profile (HDP). This lets you create applications that use Bluetooth to
communicate with health devices that support Bluetooth, such as heart-rate
monitors, blood meters, thermometers, scales, and so on.
30. Near Field Communication
30
Near Field Communication (NFC) is a set of short-range wireless technologies, typically
requiring a distance of 4cm or less to initiate a connection. NFC allows you to share small
payloads of data between an NFC tag and an Android-powered device, or between two
Android-powered devices.
Tags can range in complexity. Simple tags offer just read and write semantics, sometimes
with one-time-programmable areas to make the card read-only. More complex tags offer
math operations, and have cryptographic hardware to authenticate access to a sector.
The most sophisticated tags contain operating environments, allowing complex
interactions with code executing on the tag. The data stored in the tag can also be
written in a variety of formats, but many of the Android framework APIs are based around
a NFC Forum standard called NDEF (NFC Data Exchange Format).
31. NFC Modes
31
Android-powered devices with NFC simultaneously support three main modes of
operation:
● Reader/writer mode, allowing the NFC device to read and/or write passive NFC tags
and stickers.
● P2P mode, allowing the NFC device to exchange data with other NFC peers; this
operation mode is used by Android Beam.
● Card emulation mode, allowing the NFC device itself to act as an NFC card. The
emulated NFC card can then be accessed by an external NFC reader, such as an
NFC point-of-sale terminal.
32. NFC: is it all?
32
NFC is a technology which is complex enough.
NFC communication performs through Magnetic Field coupling, like RFID.