Ai Usage In Development, Security, And Operations,
2023
Walden University
Ai Usage In Development, Security, And Operations, Maurice Ayidiya
Walden Dissertations and Doctoral Studies
Artificial intelligence (AI) has become a growing field in information technology (IT). Cybersecurity managers are concerned that the lack of strategies to incorporate AI technologies in developing secure software for IT operations may inhibit the effectiveness of security risk mitigation. Grounded in the technology acceptance model, the purpose of this qualitative exploratory multiple case study was to explore strategies cybersecurity professionals use to incorporate AI technologies in developing secure software for IT operations. The participants were 10 IT professionals in the United States with at least 5 years of professional experience working in DevSecOps and managing teams of at least …
Ai Usage In Development, Security, And Operations,
2023
Walden University
Ai Usage In Development, Security, And Operations, Maurice Ayidiya
Walden Dissertations and Doctoral Studies
Artificial intelligence (AI) has become a growing field in information technology (IT). Cybersecurity managers are concerned that the lack of strategies to incorporate AI technologies in developing secure software for IT operations may inhibit the effectiveness of security risk mitigation. Grounded in the technology acceptance model, the purpose of this qualitative exploratory multiple case study was to explore strategies cybersecurity professionals use to incorporate AI technologies in developing secure software for IT operations. The participants were 10 IT professionals in the United States with at least 5 years of professional experience working in DevSecOps and managing teams of at least …
Performance Analysis Of The Energy Harvesting Techniques In Cooperative Communication Systems Of Nbiot Devices With Amplify And Forward (Af) Relaying Protocol,
2022
Politeknik Elektronika Negeri Surabaya, Indonesia
Performance Analysis Of The Energy Harvesting Techniques In Cooperative Communication Systems Of Nbiot Devices With Amplify And Forward (Af) Relaying Protocol, Ines Sastre Umayya, Muhamad Milchan, Hendy Briantoro, Yoedy Moegiharto
Elinvo (Electronics, Informatics, and Vocational Education)
This study examines the system's performance with implementation of the energy harvesting (EH) techniques at source node, S and relay node, R. The RF signals which are used to energy harvesting proccess are broadcasted by destination node, D. The information signals from S are sent to D via a R in a cooperative communication framework. The R uses the amplify and forward (AF) protocol to forward the received signal from S to D. We propose a network system which contain of three femto cells, and an access point of each femto cells work as a relay (R), in a macro …
Monitoring And Controlling Temperature Egg Incubator Prototype Based Lora Communication,
2022
(Scopus ID: 57209224197) Institut Teknologi Telkom Purwokerto, Indonesia, Indonesia
Monitoring And Controlling Temperature Egg Incubator Prototype Based Lora Communication, Mas Aly Afandi, Fadhila Karin Purnomo, Raditya Artha Rochmanto, Sevia Indah Purnama
Elinvo (Electronics, Informatics, and Vocational Education)
Poultry industries encounter problem in produce day old chicken (DOC). Poultry industries usually produce DOC using egg incubator. Egg incubator must have high accuracy in reading environment temperature inside the machine. The temperature environment inside the egg incubator machine needs to keep in range 36°C - 40°C. On the other hand, hatcheries and chicken coop usually not in one place. Poultry industries require applied technology to solve this problem. This problem can be solved by using internet of things. But internet of things can be so expensive. This research is aim to implement monitoring and controlling temperature inside egg incubator …
Modeling Of Quad-Station Module Cluster Tools Using Petri Nets,
2022
New Jersey Institute of Technology
Modeling Of Quad-Station Module Cluster Tools Using Petri Nets, Aung Nay
Theses
The semiconductor industry is highly competitive, and with the recent chip shortage, the throughput of wafers has become more important than ever. One of the tools that the industry has deployed is to use of quad-station modules instead of the traditional single-station modules that allow for higher throughput and better wafer consistency by processing multiple wafers at the same time and distributing work. The industry trend is to use multiple transfer chamber robots to stack the quad-station modules in a series, particularly for etch products. In this work, the quad-station cluster tool wafer movement is modeled by using Petri net …
Nondirect Line-Of-Sight Free-Space Optical Communications And Networks,
2022
New Jersey Institute of Technology
Nondirect Line-Of-Sight Free-Space Optical Communications And Networks, Paa Kwesi Affir Esubonteng
Dissertations
Nondirect Line-of-Sight Free-Space Optical Communications (NLoS-FSOC) uses diffuse reflected light to establish communication between two or more stations that are with or without line-of-sight (LoS) to each other. Different from free-space optical communications (FSOC), NLoS-FSOC uses a diffuse reflector (DR) between a transmitter and a receiver so that LoS is not required between them but between the station and the DR. Unlike a mirror, the DR reflects the incident light to all directions and except to itself. That multidirectional reflection broadcast the optical transmission to all receivers with LoS to the DR. The optical broadcast channel establishes a true optical …
The Metaverse: A Virtual World In The Palm Of Your Hand,
2022
Faculty of Engineering, Beirut Arab University
The Metaverse: A Virtual World In The Palm Of Your Hand, Ziad Doughan, Hadi Al Mubasher, Mustafa El Bizri, Ali Haidar
BAU Journal - Science and Technology
This paper explores the actual and future impact of the Metaverse as a virtual space. Thus, it focuses the probe on the technical challenges that face this everlasting emerging technology. Today, the Metaverse presents a digital environment to build collective architecture and historical heritage in a virtual space. In this digital world, the modeling and design methodology is based on individual archetypes that can puzzle new elements. Currently, traditional methods require change and adaptation in both the education and work market, especially due to the remote-work integration in the last few years. For example, many components are required to build …
Damage Stability Study Of A 500 Dw Ro-Ro Ferry Vessel,
2022
Departement of Industrial Technology, Vocational School, Universitas Diponegoro, Semarang 50275, Indonesia
Damage Stability Study Of A 500 Dw Ro-Ro Ferry Vessel, Zulfaidah Ariany, Budhi Santoso, Sarwoko Sarwoko, Nauval Abdurrahman Prasetyo
Makara Journal of Technology
The development of the crossing transportation industry is currently increasing in the island areas. The use of Ro-Ro type ferry boats is extremely efficient in moving people, goods, and vehicles. The current research focuses on the damage stability of the 500 DWT Ro-Ro ferry, which aims to meet the needs of the Ro-Ro ferry in the archipelago area. The previously existing initial design of a barge hull with a main size Lpp = 40.15 m, B = 12 m, H = 3.2 m, and T = 2.15 m was used to analyze the damage stability condition further. First, the drawings …
An Accurate Real-Time Method For Face Mask Detectionusing Cnn And Svm,
2022
University of Tabuk
An Accurate Real-Time Method For Face Mask Detectionusing Cnn And Svm, Shili Hechmi
Knowledge Engineering and Data Science
Infectious respiratory diseases, including COVID-19, pose a significant challenge to humanity and a potential threat to life due to their severity and rapid spread. Using a surgical mask is among the most significant safety precautions that can help keep this sort of pandemic from spreading, and manual monitoring of large crowds in public places for face masks is problematic. In this research, we suggest a real-time approach for face mask detection. First, we use a multi-scale deep neural network to extract features. As a result, the attributes are better suited for training the detection system. We employ SVM post-processing in …
Design And Prototyping Of A Low-Cost High Frequency Antenna For Vicinity Coupling Devices,
2022
Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana
Design And Prototyping Of A Low-Cost High Frequency Antenna For Vicinity Coupling Devices, Benjamin Kommey, Ernest Ofosu Addo, Elvis Tamakloe
Makara Journal of Technology
This paper describes the development of a high frequency (HF) antenna for high output power vicinity coupling devices (VCDs) operating at 13.56 MHz. Key design parameters, such as RF power level, antenna size, and communication protocol, and their link to the antenna features and requirements, have been discussed. For efficient reader interrogation, detection, and recovery of transponder responses, a tuning circuit necessary to adjust the antenna power matching and resonance characteristics was designed and prototyped. The antenna was fed to an industry standard reader and evaluated for read range performance with vicinity cards. The designed antenna on the reader achieved …
Hybrid Artificial Bee Colony And Improved Simulatedannealing For The Capacitated Vehicle Routing Problem,
2022
University of Muhammadiyah Gresik, Indonesia
Hybrid Artificial Bee Colony And Improved Simulatedannealing For The Capacitated Vehicle Routing Problem, Farhanna Mar'i, Hafidz Ubaidillah, Wayan Firdaus Mahmudy, Ahmad Afif Supianto
Knowledge Engineering and Data Science
Capacitated Vehicle Routing Problem (CVRP) is a type of NP-Hard combinatorial problem that requires a high computational process. In the case of CVRP, there is an additional constraint in the form of a capacity limit owned by the vehicle, so the complexity of the problem from CVRP is to find the optimum route pattern for minimizing travel costs which are also adjusted to customer demand and vehicle capacity for distribution. One method of solving CVRP can be done by implementing a meta-heuristic algorithm. In this research, two meta-heuristic algorithms have been hybridized: Artificial Bee Colony (ABC) with Improved Simulated Annealing …
Adaptive Neuro-Fuzzy Inference System For Waste Prediction,
2022
Universitas Mulawarman, Indonesia
Adaptive Neuro-Fuzzy Inference System For Waste Prediction, Haviluddin Haviluddin, Herman Santoso Pakpahan, Novianti Puspitasari, Gubtha Mahendra Putra, Rima Yustika Hasnida, Rayner Alfred
Knowledge Engineering and Data Science
The volume of landfills that are increasingly piled up and not handled properly will have a negative impact, such as a decrease in public health. Therefore, predicting the volume of landfills with a high degree of accuracy is needed as a reference for government agencies and the community in making future policies. This study aims to analyze the accuracy of the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The prediction results' accuracy level is measured by the value of the Mean Absolute Percentage Error (MAPE). The final results of this study were obtained from the best MAPE test results. The best …
Indonesian Language Term Extraction Using Multi-Task Neural Network,
2022
Institut Sains dan Teknologi Terpadu Surabaya
Indonesian Language Term Extraction Using Multi-Task Neural Network, Joan Santoso, Esther Irawati Setiawan, Fransiskus Xaverius Ferdinandus, Gunawan Gunawan, Leonel Hernandez Collantes
Knowledge Engineering and Data Science
The rapidly expanding size of data makes it difficult to extricate information and store it as computerized knowledge. Relation extraction and term extraction play a crucial role in resolving this issue. Automatically finding a concealed relationship between terms that appear in the text can help people build computer-based knowledge more quickly. Term extraction is required as one of the components because identifying terms that play a significant role in the text is the essential step before determining their relationship. We propose an end-to-end system capable of extracting terms from text to address this Indonesian language issue. Our method combines two …
Associated Patterns In Open-Ended Concept Maps Within E-Learning,
2022
Universitas Negeri Malang
Associated Patterns In Open-Ended Concept Maps Within E-Learning, Didik Dwi Prasetya, Tsukasa Hirasama
Knowledge Engineering and Data Science
A concept map is a diagram that visualizes the structure of individual cognitive knowledge. An approach to creating a concept map structure that allows users to contribute concepts and linkages that express their understanding freely is known as an "open-ended concept map." It has been demonstrated that an open-ended concept map accurately depicts student knowledge structures and reveals student differences. However, manually analyzing an open-ended map is difficult, time-consuming, and includes many propositions, especially in a big classroom. Educational data mining could be used to further process and analyze a collection of concept maps. However, many works attempted to employ …
Examining Early Elementary Computer Science Identity Repertoires Within A Curriculum: Implications For Epistemologically Pluralistic Identities,
2022
University of Massachusetts
Examining Early Elementary Computer Science Identity Repertoires Within A Curriculum: Implications For Epistemologically Pluralistic Identities, Eleanor Richard, Shakhnoza Kayumova
Journal of Computer Science Integration
As computer science (CS) enters an increasing number of elementary classrooms, researchers must investigate the representations of what kinds of people are presented as doing computer science within CS curricula. In this paper, we explore a widely used, freely accessible, web-based, early elementary CS curriculum to examine the kinds of identity repertoires (behaviors, actions, skills, and socioemotional norms) that are promoted as representative of being/becoming a CS person. More specifically, we draw on identity studies and employ critical discourse analysis to examine how the kinds of norms and repertoires of CS practice made available in the curricular materials might construct …
30 Años De Transformación Regional. Chía Y Zipaquirá,
2022
Universidad de Cundinamarca
30 Años De Transformación Regional. Chía Y Zipaquirá, José Zacarías Mayorga Sánchez, Luz Deicy Flórez Espinal, Viviana Andrea Caballero Moreno, Luz Mireya Rincón Mora, John Jairo Zambrano Rocha, Eduard Neftali Gutiérrez, Carlos Augusto Trujillo Padilla, Carlos Germán González Pedraza, Juan Manuel Urrego Laurin, León Fabio Salcedo Ortiz, Ana Betina Morgante Combariza, Eduardo Ernesto Castro Neira
Institucional
En el trigésimo aniversario de vida universitaria de nuestro claustro académico, la Extensión Chía, recordamos con agrado el proceso desarrollado en esta corta pero muy exitosa actividad universitaria. Conocida como la ciudad de La Luna, el municipio de Chía es un importante centro empresarial e industrial del departamento de Cundinamarca, sede de varias instituciones de educación superior. Hoy es un referente de primer orden el proceso de desarrollo económico y social que ha atravesado la provincia Sabana Centro, en especial, debido a la cercanía a la capital del país. Es un centro cultural y turístico por excelencia con una rica …
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation,
2022
Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation, Ruoxuan Wang, Jianping Wu, Hui Xu
Journal of System Simulation
Abstract: Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of …
Anomaly Detection Method Of Electrical Power Consumption Based On Deep Autoencoder,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Anomaly Detection Method Of Electrical Power Consumption Based On Deep Autoencoder, Ningke Sun, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: Aiming at the nonlinear and non-stationary characteristics of electrical power consumption data, an abnormal electrical power consumption detection model based on deep autoencoder is proposed. Gated recurrent unit (GRU) network of the deep learning is combined with autoencoder structure, and the encoder and decoder parts of traditional autoencoder are realized by gated recurrent unit network, which gives full play to the data feature extraction capability of gated recurrent unit and the data reconstruction function of autoencoder structure. Based on the reconstruction error between original data and reconstructed data, abnormal data points of the electrical power consumption are detected. By …
Short-Term Prediction Method Of Wind Power Based On Blp-Alo-Svm,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Short-Term Prediction Method Of Wind Power Based On Blp-Alo-Svm, Yefeng Jiao, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: To effectively predict the short-term wind power and its fluctuation range, a prediction method based on hybrid algorithm-optimized support vector machine is proposed. Exploratory data analysis is used to preprocess the original wind speed data to improve the data quality. Chaotic map, Levy flight strategy and particle swarm optimization are used to improve the ant lion algorithm. The support vector machine model optimized by hybrid algorithm is used to predict the wind power. The experimental results show that, compared with the new wind power prediction model, the prediction error of the output results of the method is lower, and …
Simulation-Driven Based Utility Evaluation And Recommendation Of Expressway Proactive Speed Limit,
2022
1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China;3.Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China;
Simulation-Driven Based Utility Evaluation And Recommendation Of Expressway Proactive Speed Limit, Geqi Qi, Sijin Liu, Yikang He, Meng Wang, Ailing Huang
Journal of System Simulation
Abstract: Outside the specific punishment area, the traditional roadside passive speed limit mode lacks traffic management, and thus which indirectly leads to the inconsistency or even sudden change of vehicle behaviors in time and space, thereby affects the traffic efficiency and safety. Focusing on the proactive speed limit mode at vehicle side, a utility evaluation and recommendation method is proposed, which carries out the multi-scenario traffic simulation for varied proactive and passive speed limit considering road line types, traffic flow and vehicle type proportion. From the two perspectives of safety and efficiency, the utility evaluation indicators and weights are extracted …
