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Topic Review
Accessibility and Sustainability in Context of Healthcare Platforms
A health platform is an IT system that provides a common infrastructure for delivering healthcare services. Organizations, including hospitals, clinics, home care providers, and governments, can use healthcare platforms. Examples of healthcare platforms include electronic health records (EHRs) and computer systems that store patients’ medical information, including health records, test results, and medications.
  • 974
  • 01 Dec 2023
Topic Review
Deep Learning in SOC Estimation for Li-Ion Batteries
As one of the critical state parameters of the battery management system, the state of charge (SOC) of lithium batteries can provide an essential reference for battery safety management, charge/discharge control, and the energy management of electric vehicles (EVs). The SOC estimation of a Li-ion battery in the deep learning method uses deep learning theory of computer science to build a model that builds the approximate relationship between input data (voltage, current, temperature, power, capacity, etc.) and output data (SOC) by available data. According to different neural network structures, it can be classified as a single, hybrid, or trans structure. 
  • 974
  • 02 Nov 2022
Topic Review
The Simple Function Point (SFP) Method
The Simple Function Point (SFP) method is a lightweight Functional Measurement Method. The Simple Function Point method was designed to be compliant with the ISO14143-1 standard and compatible with the International Function Points User Group (IFPUG) Function Point Analysis (FPA) method. The original method is described in a manual produced by the Simple Function Point Association: the Simple Function Point Functional Size Measurement Method Reference Manual is available under the Creatives Commons Attribution-NoDerivatives 4.0 International Public License.
  • 971
  • 27 Sep 2022
Topic Review
Hyperbolic Function
In mathematics, hyperbolic functions are analogs of the ordinary trigonometric functions defined for the hyperbola rather than on the circle: just as the points (cos t, sin t) form a circle with a unit radius, the points (cosh t, sinh t) form the right half of the equilateral hyperbola. Hyperbolic functions occur in the solutions of many linear differential equations (for example, the equation defining a catenary), of some cubic equations, in calculations of angles and distances in hyperbolic geometry, and of Laplace's equation in Cartesian coordinates. Laplace's equations are important in many areas of physics, including electromagnetic theory, heat transfer, fluid dynamics, and special relativity. The basic hyperbolic functions are: from which are derived: corresponding to the derived trigonometric functions. The inverse hyperbolic functions are: The hyperbolic functions take a real argument called a hyperbolic angle. The size of a hyperbolic angle is twice the area of its hyperbolic sector. The hyperbolic functions may be defined in terms of the legs of a right triangle covering this sector. In complex analysis, the hyperbolic functions arise as the imaginary parts of sine and cosine. The hyperbolic sine and the hyperbolic cosine are entire functions. As a result, the other hyperbolic functions are meromorphic in the whole complex plane. By Lindemann–Weierstrass theorem, the hyperbolic functions have a transcendental value for every non-zero algebraic value of the argument. Hyperbolic functions were introduced in the 1760s independently by Vincenzo Riccati and Johann Heinrich Lambert. Riccati used Sc. and Cc. (sinus/cosinus circulare) to refer to circular functions and Sh. and Ch. (sinus/cosinus hyperbolico) to refer to hyperbolic functions. Lambert adopted the names but altered the abbreviations to what they are today. The abbreviations sh, ch, th, cth are also at disposition, their use depending more on personal preference of mathematics of influence than on the local language.
  • 970
  • 10 Nov 2022
Topic Review
Flocking (Behavior)
thumb|200px|right|A swarm-like flock of starlings Flocking behavior is the behavior exhibited when a group of birds, called a flock, are foraging or in flight. There are parallels with the shoaling behavior of fish, the swarming behavior of insects, and herd behavior of land animals. During the winter months, Starlings are known for aggregating into huge flocks of hundreds to thousands of individuals, murmurations, which when they take flight altogether, render large displays of intriguing swirling patterns in the skies above observers. Computer simulations and mathematical models which have been developed to emulate the flocking behaviors of birds can also generally be applied to the "flocking" behavior of other species. As a result, the term "flocking" is sometimes applied, in computer science, to species other than birds. This article is about the modelling of flocking behavior. From the perspective of the mathematical modeller, "flocking" is the collective motion by a group of self-propelled entities and is a collective animal behavior exhibited by many living beings such as birds, fish, bacteria, and insects. It is considered an emergent behavior arising from simple rules that are followed by individuals and does not involve any central coordination. Flocking behavior was simulated on a computer in 1987 by Craig Reynolds with his simulation program, Boids. This program simulates simple agents (boids) that are allowed to move according to a set of basic rules. The result is akin to a flock of birds, a school of fish, or a swarm of insects.
  • 970
  • 27 Oct 2022
Topic Review
Quantum Stream Cipher
Quantum cryptography includes quantum key distribution (QKD) and quantum stream cipher, but the researchers point out that the latter is expected as the core technology of next-generation communication systems. Various ideas have been proposed for QKD quantum cryptography, but most of them use a single-photon or similar signal. Then, although such technologies are applicable to special situations, these methods still have several difficulties to provide functions that surpass conventional technologies for social systems in the real environment. Thus, the quantum stream cipher has come to be expected as one promising countermeasure, which artificially creates quantum properties using special modulation techniques based on the macroscopic coherent state. In addition, it has the possibility to provide superior security performance than one-time pad cipher.
  • 969
  • 25 May 2022
Topic Review
Weierstrass's Elliptic Functions
In mathematics, Weierstrass's elliptic functions are elliptic functions that take a particularly simple form. They are named for Karl Weierstrass. This class of functions are also referred to as p-functions and they are usually denoted by the symbol ℘. They play an important role in theory of elliptic functions. A ℘-function together with its derivative can be used to parameterize elliptic curves and they generate the field of elliptic functions with respect to a given period lattice.
  • 969
  • 01 Dec 2022
Topic Review
IBM App Connect Enterprise
IBM App Connect Enterprise (abbreviated as IBM ACE, formerly known as IBM Integration Bus or WebSphere Message Broker) is IBM's integration broker from the WebSphere product family that allows business information to flow between disparate applications across multiple hardware and software platforms. Rules can be applied to the data flowing through the message broker to route and transform the information. The product is an Enterprise Service Bus supplying a communication channel between applications and services in a service-oriented architecture. IBM ACE provides capabilities to build solutions needed to support diverse integration requirements through a set of connectors to a range of data sources, including packaged applications, files, mobile devices, messaging systems, and databases. A benefit of using IBM ACE is that the tool enables existing applications for Web Services without costly legacy application rewrites. ACE avoids the point-to-point strain on development resources by connecting any application or service over multiple protocols, including SOAP, HTTP and JMS. Modern secure authentication mechanisms, including the ability to perform actions on behalf of masquerading or delegate users, through MQ, HTTP and SOAP nodes are supported such as LDAP, X-AUTH, O-AUTH, and two-way SSL. A major focus of IBM ACE in its latest release is the capability of the product's runtime to be fully hosted in a cloud. Hosting the runtime in the cloud provides certain advantages and potential cost savings compared to hosting the runtime on premises as it simplifies the maintenance and application of OS-level patches which can sometimes be disruptive to business continuity. Also, cloud hosting of IBM ACE runtime allows easy expansion of capacity by adding more horsepower to the CPU configuration of a cloud environment or by adding additional nodes in an Active-Active configuration. Another advantage of maintaining ACE runtimes in the cloud is the ability to configure access to your ACE functionality separate and apart from your internal network using DataPower or API Connect devices. This allows people or services on the public internet to access your Enterprise Service Bus without passing through your internal network, which can be a more secure configuration than if your ESB was deployed to your internal on premises network. IBM ACE embeds a Common Language Runtime to invoke any .NET logic as part of an integration. It also includes full support for the Visual Studio development environment, including the integrated debugger and code templates. IBM Integration Bus includes a comprehensive set of patterns and samples that demonstrate bi-directional connectivity with both Microsoft Dynamics CRM and MSMQ. Several improvements have been made to this current release, among them the ability to configure runtime parameters using a property file that is part of the deployed artifacts contained in the BAR ('broker archive') file. Previously, the only way to configure runtime parameters was to run an MQSI command on the command line. This new way of configuration is referred to as a policy document and can be created with the new Policy Editor. Policy documents can be stored in a source code control system and a different policy can exist for different environments (DEV, INT, QA, PROD). IBM ACE is compatible with several virtualization platforms right out-of-the-box, Docker being a prime example. With ACE, you can download from the global Docker repository a runtime of IBM ACE and run it locally. Because ACE has its administrative console built right into the runtime, once the Docker image is active on your local, you can do all the configuration and administration commands needed to fully activate any message flow or deploy any BAR file. In fact, you can construct message flows that are microservices and package these microservices into a Docker deployable object directly. Because message flows and BAR files can contain Policy files, this node configuration can be automatic and no or little human intervention is needed to complete the application deployment.
  • 968
  • 11 Oct 2022
Topic Review
Overview of Deep Learning-Based Visual Multi-Object Tracking
Multi-target tracking is an advanced visual work in computer vision, which is essential for understanding the autonomous driving environment. Due to the excellent performance of deep learning in visual object tracking, many state-of-the-art multi-target tracking algorithms have been developed.
  • 968
  • 22 Nov 2022
Topic Review
Artificial Intelligence Techniques in Surveillance Video Anomaly Detection
The Surveillance Video Anomaly Detection (SVAD) system is a sophisticated technology designed to detect unusual or suspicious behavior in video surveillance footage without human intervention. The system operates by analyzing the video frames and identifying deviations from normal patterns of movement or activity. This is achieved through advanced algorithms and machine learning techniques that can detect and analyze the position of pixels in the video frame at the time of an event.
  • 967
  • 10 May 2023
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