Java Simulations Research Articles

An enhanced conventional neural network schema for structural class-based software fault prediction

ABSTRACT Malicious software detection is the most prominent process required by various industries to avoid server failure. It is required to detect malicious software accurately to avoid time and cost wastage. Various research works have been introduced earlier for the detection of malicious software. In the existing work Support Vector Machine (SVM) is introduced for malicious software detection. However, existing works cannot perform well where there are error modules in the software. It is addressed in this suggested study by developing Coupling and Cohesion Metrics-based Fault Detection (CCMFD). In this research work, structural measures are mainly examined which come under the cohesion measures and comprise deficient cohesion in approaches (LCOM), and Conceptual Coupling between Object Classes (CCBO). Failure situations and measures relating to information flow are used in other techniques. A high-quality service has a low coupling and a high cohesiveness. These extracted features will be given as input to the enhanced Conventional Neural Network (CNN) for software mistake forecasting. A complete study analysis is done in a Java simulator, indicating that the suggested approach tends to have superior fault prediction outcomes than the current method.

Translations of Cellular Automata for Efficient Simulation

Cellular automata can be described in many different ways, one of which is to use a special purpose description language. Here, the language CDL is used as the source for translations into Java or C code for computer simulations. Several coding styles are generated automatically: The state transition function can be coded as Java, as C with stubs for integration into a Java simulation environment, as a lookup table, or as Java code consisting of boolean functions which allow the parallel simulation of 32 or 64 cells on one processor. The coding styles are compared for several examples and it is found that the boolean function style (also called multispin-coding) realized in Java is often, but not always, significantly more efficient than even native C code.

Enabling massively parallel, ad hoc exploration of the design space for simulation models within a serverless environment

This paper presents a massively parallel, cloud-computing framework for the ad hoc evaluation of discrete-event simulation (DES) models to enable broad exploration of the design space for model parameters. Parallel evaluation is enabled through use of a serverless computing environment allowing thousands of simultaneous experiments, on demand, without the need to explicitly provision or manages hardware. A standard Simulation Evaluation application programming interface (API) was designed for evaluating simulation functions that enables language independence between client application and simulation model, encouraging reuse of simulation models for multiple purposes (what-if analysis, ranking and selection, sensitivity analysis, or optimization). Extensions to the Java Simulation Library (JSL)27 enable rapid deployment of models built with the JSL as parameterized serverless functions implementing the Simulation Evaluation API. New Java packages facilitate the calling of any serverless functions that implement the Simulation Evaluation API.

Solving Conformable Fractional Differential Equations with ``EJS Software and Visualization of Sub-diffusion Process

In this work, we numerically solve ordinary and conformable fractional differential equations using Easy Java Simulations software. Their solutions, including homogeneous and non-homogeneous parts, are compared in various time intervals. Using software’s visualization andsimulation features, we may better examine, compare, and evaluate solutions of analytical and numerical fractional differential equations. A kind of oscillatory behavior is seen in long enough times. In simulation of diffusion and sub-diffusion processes, two intriguing events have been observed.

Grid-connected hybrid PV-wind system simulation in urban Java

This research proposes optimizing the energy harvesting system based on solar and wind energy, using the enhanced PV-Wind Turbine hybrid power grid to supply electrical energy somewhere in the city of Yogyakarta, Indonesia. The analysis was conducted by researching the possibilities of wind and solar energy and gathering data from numerous sources. To examine the available data and the economic feasibility of the proposed hybrid power system, the Hybrid Optimization Model for Electric Renewable (HOMER) program was employed. The scheme was simulated and optimized using the National Renewable Energy Laboratory's Hybrid Optimization System for Electric Renewables model (NREL). Various analyses are examined, such as Net Present Value (NPV), Energy Expenditure, Energy Output, Usage, and Excess Energy created by each component of the resultant system. The results gained via the installation of this hybrid system are fairly excellent due to monthly production optimization and minimal maintenance costs with potential investments.

A Novel Structure Optoelectronic Biosensor for Detection of Infectious Diseases Using SALP Swarm Optimized Artificial Neural Network Technique

In this study, we detail the use of a small, label-free optoelectronic biosensor for the detection of anti-dengue antibodies in human serum samples. The system consists of a vertical-cavity surface-emitting laser that can be tuned, a guided-mode resonant sensor surface, and two silicon pin detectors. After showing adequate sensitivity in a clinically relevant experiment, researchers hypothesized that this cutting-edge biosensor could serve as a novel platform for the development of efficient point-of-care diagnostic techniques for the identification of infectious diseases. Humans are susceptible to one of the world’s most common and contagious diseases, dengue fever, which is spread by the Aedes albopictis mosquito. Human deaths were also a direct outcome of the widespread increase in Dengue fever cases. A shortage of medical professionals and healthcare facilities only made matters worse. In order to achieve this goal, it will be necessary to employ archaic medical technologies. Recent innovations like Fog Computing and the success of remote healthcare in real time, Cloud Computing, and the Internet of Things have opened up new frontiers in technology (IoT). In this research, we proposed a new method for diagnosing dengue disease. Information gathered from those who have been afflicted by a disease will be shared with higher authorities. Various IoT devices compile comprehensive reports on each and every patient. Once medical history is gathered, the patient’s whereabouts must be ascertained. Sensors connected to the internet are used to gather information on the weather, the location, the effectiveness of medications, the safety of the surrounding environment, and the patients’ states of health. The fog computing layer is the bridge between IoT sensors and cloud servers. Two primary functions of the fog computing layer are the creation of notifications and the categorization of users’ health conditions. Dengue fevers are diagnosed using an Artificial Neural Network (ANN) trained with the Salp Swarm Optimization method Salp swarm algorithm (SSA). The dataset will be analyzed using an Internet of Things (IoT) scenario built with the Java simulator CupCarbon U-one 3.8.2. The proposed method achieves competitive or better outcomes than the state-of-the-art alternatives.

Optimization of Multi Two-Level Batch Testing

As the COVID-19 pandemic continues to spread, rapid testing could help curb asymptomatic transmission. Thus, it is paramount that the most efficient testing method be identified and implemented, as to reduce the strain on the medical community. This project introduces a novel batch testing method called multi two-level batch testing, which was hypothesized to increase the efficiency of batch testing in terms of minimizing the number of tests performed for a given population. While Dorfman’s two-level and Li’s multi-level batch testing methods already exist, this method offers a novel strategy distinct from existing methods. A Java simulation was created to iteratively compute the number of tests required for each testing method at various percentages of population infection rate, batch sizes, and other parameters specific to each method. Based on this simulation, it can be shown that the multi two-level procedure is more efficient than both the two-level and the multi-level procedures at an infection rate of 0.01, which is the anticipated rate at the University of Florida during the Spring 2021 semester. Additionally, at infection rates between 0.05 and 0.30, the multi two-level batch testing method slightly outperforms multi-level. When the infection rate exceeds 0.30, all methods are unviable and begin to require more tests than necessary to test each person in the population individually. If laboratories implement multi two-level batch testing, they may reduce costs and labor. Additionally, the novel batch testing procedure can be applied to other diseases and future pandemics.

A lightweight and secure handover authentication scheme for 5G network using neighbour base stations

The emerge of fifth-generation (5G) wireless networks has started a new era of the development of wireless mobile networks. Security of the 5G wireless networks is the major concern when they are deployed for commercial applications. The third-generation partnership project (3GPP) has specified the security functionality of 5G wireless in its standard release 16. However, it is prone to different attacks such as Denial of Service (DoS) attacks and false base-station attacks. Particularly, secure handover becomes a critical issue in the operation of the 5G mobile networks. In the paper, we propose an efficient and secure handover authentication protocol using the Chinese remainder theory at neighbour base stations, gNodeBs (gNBs) for secure handovers. The security of the proposal is formally evaluated to demonstrate its ability against various malicious attacks. The performance of the proposed scheme in terms of the delay incurred and energy consumption is evaluated by using JAVA simulation. The results obtained show that our scheme is secure and efficient with relatively low energy consumption, which is suitable for devices in high-speed movements.

RETRACTED: Integrity and memory consumption aware electronic health record handling in cloud

Cloud environment greatly necessitates two key factors namely integrity and memory consumption. In the proposed work, an efficient integrity check system (EICS) is presented for electronic health record (EHR) classification. The existing system does not concentrate on storage concerns such as storing and retrieving files in cloud and memory storage overheads. De-duplication is one of the solution, however original information loss might take place. This is mitigated by the suggested research work namely Integrity and Memory Consumption aware De-duplication Method (IMCDM), where health care files are stored in secured and reliable manner. File Indexed table are created for all the files for enhancing de-duplication performance before uploading it into server. Duplication existence can be obtained from the indexing table which comprises of file features and hash values. Support vector machine (SVM) classifier is used in indexing table construction for file feature learning. Labels allotted through SVM classifier is considered as index values. Two level encryption is used followed by indexing construction, and stored in cloud severs. For avoiding redundant data, a decrypted hash index comparison is performed with previously stored contents. Various security key based on individual user’s generation is carried for ensuring security and XOR operation is performed with received encrypted file. The evaluation is performed using the Java simulation tool, which aids in validating the proposed methodology against existing research.

Intelligent SLA-Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment

Cloud computing is the most prominent established framework; it offers access to resources and services based on large-scale distributed processing. An intensive management system is required for the cloud environment, and it should gather information about all phases of task processing and ensuring fair resource provisioning through the levels of Quality of Service (QoS). Virtual machine allocation is a major issue in the cloud environment that contributes to energy consumption and asset utilization in distributed cloud computing. Subsequently, in this paper, a multiobjective Emperor Penguin Optimization (EPO) algorithm is proposed to allocate the virtual machines with power utilization in a heterogeneous cloud environment. The proposed method is analyzed to make it suitable for virtual machines in the data center through Binary Gravity Search Algorithm (BGSA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). To compare with other strategies, EPO is energy-efficient and there are significant differences. The results of the proposed system have been evaluated through the JAVA simulation platform. The exploratory outcome presents that the proposed EPO-based system is very effective in limiting energy consumption, SLA violation (SLAV), and enlarging QoS requirements for giving capable cloud service.

Converting Physlets and Other Java Programs to JavaScript

Physlets, educational applets developed at Davidson College, are a widely used teaching resource designed to simulate a variety of physical phenomena. Originally, each Physlet was a Java simulation that was embedded in an HTML page as an applet and then customized using JavaScript to simulate a specific physics concept. The use of Java to simulate the physics and HTML + JavaScript to add narrative and to customize the web page allowed teachers to create thousands of Physlet-based illustrations, explorations, and problems. Unfortunately, changes in technology standards have required a drastic change in how these learning resources can be delivered.

JavaSim-IBFD-CRNs: Novel java simulator for in-band Full-Duplex cognitive radio networks over Internet of Things environment

Multi-channel non-time-slotted cognitive radio ad hoc networks are attractive to researchers nowadays; because they utilize the spectrum efficiently and represent a useful network design for Internet of Things (IoT) applications. From this point, a simulator that mimics these networks is developed using Java language. Further, researchers have proven that many problems facing these networks can be solved by using Full Duplex (FD) nodes. Thus, the proposed simulator is extended to support FD cognitive radio nodes. Each one of these nodes is allowed to receive in a sweeping pattern from various nodes, while transmitting to another node. In an alternative scenario, the node can transmit in a sweeping pattern to various nodes while receiving from one node in a specific direction. Both scenarios are adopted in the route request packet broadcasting phase. However, in the route reply packet delivery, the nodes are allowed to operate in FD transmit and sense or in FD transmit and receive modes. Interestingly, the simulator is tested using FD protocol, also introduced in this paper, that can be useful for IoT applications. Besides the proposed protocol is compared with very recent and close related routing protocol called Probabilistic and Deterministic Path Selection (PDPS). The results are logical; as they are compatible with the theoretical expectations, and the FD protocol surpassed PDPS by almost doubling the throughput.

Symmetric Encryption Algorithms: Review and Evaluation Study

The increased exchange of data over the Internet in the past two decades has brought data security and confidentiality to the fore front. Information security can be achieved by implementing encryption and decryption algorithms to ensure data remains secure and confidential, especially when transmitted over an insecure communication channel. Encryption is the method of coding information to prevent unauthorized access and ensure data integrity and confidentiality, whereas the reverse process is known as decryption. All encryption algorithms aim to secure data, however, their performance varies according to several factors such as file size, type, complexity, and platform used. Furthermore, while some encryption algorithms outperform others, they have been proven to be vulnerable against certain attacks. In this paper, we present a general overview of common encryption algorithms and explain their inner workings. Additionally, we select ten different symmetric encryption algorithms and conduct a simulation in Java to test their performance. The algorithms we compare are: AES, BLOWFISH, RC2, RC4, RC6, DES, DESede, SEED, XTEA, and IDEA. We present the results of our simulation in terms of encryption speed, throughput, and CPU utilization rate for various file sizes ranging from 1MB to 1GB. We further analyze our results for all measures that have been tested, taking into account the level of security they provide.

RETRACTED ARTICLE: Enhanced security in cloud applications using emerging blockchain security algorithm

Cloud computing is one of the biggest distributed platforms accomplishing with parallel processing. Cloud computing is a household buzzword. A highest portion of data transmission in entire world is using cloud. Since cloud is distributed and involved parallel processing, it is not assured that it can provide security. One of the invisible technologies changing the world is block chain (BC). Various core functions of Governments, societies, and economics using internet are highly secured due to blockchain. Blockchain is a historical record about every digital activity happen in the internet. Blockchain is a continuous collection of blocks interlinked by chains which encrypt blocks, and it cannot be modified by anyone in the world. Most of the emerging applications are suffering from intruders, anomalies, thieves and insurance companies fetching the personal information and disturbing the customer daily activities. In order to provide enhance and tighten the security level, this paper focused on designing and implementing a blockchain security for cloud applications. The entire process of the paper is simulated using JAVA and Cloud Simulator for verifying the performance. It is also evaluated by comparing the performance with the existing approaches.

Physics in traditions: the ritual of the owners of the Mexican sky.

Mexico is characterized by its immense cultural diversity, one culture of many is in the state of Veracruz where the Totonac culture lived. His developed of a ritual known as “The Papantla flyers”[1], which is related to fertility of the earth, this ritual consists of a group of five men who climb to the top of a 31-meter pole, tie a rope around their waist and throw themselves headlong into the void with open arms. A child, observing this ritual asks his father, “at the top, the pole has an engine that unrolls the rope and causes men to descend?”. In this work, we study the equations of motion associated to the trajectory of the men who are thrown into the void, through the design and construction of an experimental model. To compare the experimental results with the analytical solution obtained by proposing the analytical equation that describes its movement, at the same time emphasizing the use of computational tools for simulation of the model using Easy Java Simulation.

Design and evaluation of a three‐dimensional virtual laboratory on vector operations

AbstractIn Physics, many quantities are vectors, and their use requires typical operations such as addition, subtraction, scalar multiplication, scalar product (dot product), vector product (cross product), and scalar triple product. This is a very basic topic in all General Physics courses for Engineering degrees. However, we have detected that some students lack a deep understanding of vector operations and their properties. In this study, we present a virtual laboratory (developed using the tool “Easy Java Simulations”) for the study and understanding of these topics. The user can introduce the components of the input vectors and gets a three‐dimensional representation, which can be scaled and rotated for better visualization. Any of the aforementioned operations can be selected, and the result is shown both numerically and graphically. The user can also modify any represented vector. In this way, the virtual lab provides a real‐time visualization of how the change affects the result. The possibility of limiting the changes to either magnitude or direction is also included. The efficiency of the virtual laboratory has been tested analyzing the results obtained in two groups of students (virtual laboratory vs traditional resources). A satisfaction survey has been also carried out.

SIMULACIÓN CON EASY JAVA SIMULATIONS Y RENDIMIENTO ACADÉMICO DE LOS ESTUDIANTES DE ANÁLISIS MATEMÁTICO

Se implementa el Easy Java Simulations (EJS) como instrumento de apoyo en el proceso de enseñanza aprendizaje de los estudiantes de análisis matemático. Inicialmente se identifican las variables involucradas en el proceso de enseñanza - aprendizaje que desarrollan los estudiantes de la materia de análisis matemático, así como las dificultades que estos tienen, para con ello estructurar una guía de uso del EJS. La propuesta desarrollada permite obtener una aproximación teórica – práctica, identificando aquellos elementos que pueden ser de utilidad y aporte tanto para el docente como para el estudiante en el proceso de enseñanza aprendizaje de la matemática a través del EJS. Para culminar se comprueba que existen diferencias significativas entre un grupo de control y un grupo de intervención, al cual se implementó EJS, en el proceso de enseñanza aprendizaje de análisis matemático. Se concluye un efecto positivo en el rendimiento académico.

Solar collector performance analysis with flat and V grooved absorber using java simulation and validation by experiment

The evolving technologies and the diminishing energy resources focuses on utilisation of solar energy. The paper throws a light on the performance analysis of solar collector with flat and v grooved absorber plate utilising simulation (mathematical modelling through JAVA based application) and experimental values. JAVA coding is included to identify the mean outlet temperature of the collector through iteration. The experiment was conducted with varying time of flat and v grooved absorber plate and compared with the values simulated through JAVA application. The simulated results have less than 5% deviation with experimental values. The results figure out that there is an increase in collector efficiency by 5% of solar flat plate absorber plate.

Pengembangan Laboratorium Virtual Fisika Osilasi

This research aims to develop a virtual lab application with oscillation concept. Oscillation concept in this application is described as pendulum motion. The application was developed by using the ADDIE model and Easy Java Simulations (EJSs) software. It has advantages compared with similar applications, which has a damping coefficient that similar with real world condition. Some other features of the application are the users can run and pause the simulation, observe the details of changes in pendulum movement angle by using step forward button, users can change pendulum mass, adjust the length of the rope, gravitational force, initial angle, damping coefficient, and can observe the change of pendulum angular position in parabolic graphs in real-time. The application was tested using the Technology Acceptance Model (TAM) concept. Based on the research results, the user satisfaction level is categorized as very useful. Therefore, it can be conclude that the application can be accepted and used well by the user.

Integrated Approach for Sclera Recognition and Eye Gaze Detection

In this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.