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Articles 1 - 30 of 2767
Full-Text Articles in Computer Sciences
Kodysynth, Ryan Kody
Kodysynth, Ryan Kody
Williams Honors College, Honors Research Projects
KodySynth is a VST digital synthesizer that can be loaded into any digital audio workstation such as FL Studio, Ableton, or Garageband. The program was made using the JUCE library which helped with streamlining the process and making it easier to create clean and intuitive looking graphics. The project also needs the Maximilian Library of sounds to create the sound waves that listeners will hear when playing the synthesizer. Users will also be able to plug in a MIDI keyboard to play KodySynth. The functionalities include a choice of 5 oscillator wave types, as well as an attack, decay, sustain, …
Rancang Bangun Aplikasi E-Report Pengaduan Masyarakat Design Public Complaint E-Report Application, Roviana H. Dai
Rancang Bangun Aplikasi E-Report Pengaduan Masyarakat Design Public Complaint E-Report Application, Roviana H. Dai
Elinvo (Electronics, Informatics, and Vocational Education)
Ombudsman RI merupakan lembaga negara yang bertugas menerima laporan dugaan maladministrasi. Ombudsman RI perwakilan provinsi Gorontalo menerima jumlah laporan yang cukup signifikan setiap tahunnya yaitu 122 laporan ditahun 2014, 138 laporan ditahun 2015 dan 146 laporan sepanjang tahun 2016. Tingginya beban penyelesaian laporan setiap Asisten mengakibatkan laporan-laporan jadi tidak tertanggulangi. Adapun tujuan dari penelitian ini yaitu mengusulkan sebuah sistem yang dapat menjadi early warning system, reminder/pengingat sekaligus membantu dalam monitoring laporan baik oleh internal Ombudsman maupun masyarakat sebagai Pelapor. Sistem yang akan dibuat menggunakan fitur sms gateway dan sistem berbasiskan web. Hasil dari penelitian ini yaitu dibuatkannya …
Pengujian Functionality Dan Performance Sistem Inforamasi Berbasis Web Menggunakan Framework Codeigniter Di Smk Negeri 1 Jogonalan Klaten, Patan Pindoyono
Pengujian Functionality Dan Performance Sistem Inforamasi Berbasis Web Menggunakan Framework Codeigniter Di Smk Negeri 1 Jogonalan Klaten, Patan Pindoyono
Elinvo (Electronics, Informatics, and Vocational Education)
Penelitian ini bertujuan untuk menganalisis kualitas sistem informasi alumni berbasis web menggunakan framework CodeIgniter sehingga mampu: (1) mengurangi kesalahan pengelolaan data alumni SMK N 1 Jogonalan. (2) menyingkat waktu pencarian data alumni SMK N 1 Jogonalan. Pengujian yang digunakan pada penelitian ini adalah aspek functionality suitability dan aspek performance efficiency. Aspek functionality menggunakan test case yang mengacu pada analisis kebutuhan perangkat lunak. Sedangkan aspek performance efficiency dilakukan dengan menghitung waktu rata-rata respon dari sistem sebanyak lima kali percobaan. Hasil penelitian yang telah dilakukan menunjukan bahwa: (1) Sistem informasi yang dikembangkan dapat mengurangi kesalahan pegelolaan data, hal ini dibuktikan pada pada …
Uji Kelayakan Sistem Informasi Unit Kesehatan Sekolah Berbasis Website Di Smk Muhammadiyah 1 Bantul Dengan Faktor Kualitas Mccall, Daya Prisandi Mandala
Uji Kelayakan Sistem Informasi Unit Kesehatan Sekolah Berbasis Website Di Smk Muhammadiyah 1 Bantul Dengan Faktor Kualitas Mccall, Daya Prisandi Mandala
Elinvo (Electronics, Informatics, and Vocational Education)
Penelitian ini bertujuan untukmengetahuitingkatkelayakan Sistem Informasi Unit Kesehatan Sekolah Berbasis Website di SMK Muhammadiyah 1 Bantul. Metode yang digunakan dalam penelitian ini adalahkuantitatif. Prosedur pengujiandalam penelitian ini adalah White-Box Testing, Black-Box Testing, Alpha Testing dan Beta Testing. Objek penelitian ini adalah perangkat lunak Sistem Informasi Unit Kesehatan Sekolah Berbasis Website di SMK Muhammadiyah 1 Bantul. Teknik pengumpulan data dilakukan dengan kuesioner. Analisis data menggunakan analisis data kuantitatif. Hasil penelitian yang diperolehdariujikelayakan terhadap Sistem Informasi Unit Kesehatan Sekolah Berbasis Website di SMK Muhammadiyah 1 Bantul dengan menggunakan faktor kualitas McCall, diperoleh hasil kelayakan oleh ahli menyatakan Layak dan pengguna menyatakan …
Analisis Aplikasi Jadwal Perkuliahan Berbasis Android, Daniswara Galuh Sukmandari
Analisis Aplikasi Jadwal Perkuliahan Berbasis Android, Daniswara Galuh Sukmandari
Elinvo (Electronics, Informatics, and Vocational Education)
Penelitian ini bertujuan untuk menganalisis kualitas perangkat lunak pada aplikasi mobile jadwal perkuliahan berdasarkan standar kualitas ISO 25010 ysng mencakup aspek funtional suitability, compatibility, usability, dan performance efficiency. Metode yang digunakan dalam penelitian adalah Research and Development (R&D) dengan model waterfall. Hasil dari penelitian adalah aplikasi jadwal perkuliahan telah memenuhi standar kualitas perangkat lunak berdasarkan standar ISO 25010. Pengujian functional suitabilitymendapatkan hasil sebesar 100% yang berarti fungsi aplikasi telah berjalan dengan benar.Pengujian compatibilitymendapatkan hasil sebesar 100%. Pengujian usabilitymendapatkan hasil sebesar 79,63% dengan kategori Layak. Pengujian performance efficiencymendapatkan rata-rata waktu launchingsebesar 2,048 detik dan 0,095 detik untuk rata-rata waktu rendering
Evaluasi Kualitas Aplikasi Mobile Kamus Istilah Jaringan Pada Platform Android Dengan Standar Iso/Iec 25010, Rohmad Dwi Jayanto
Evaluasi Kualitas Aplikasi Mobile Kamus Istilah Jaringan Pada Platform Android Dengan Standar Iso/Iec 25010, Rohmad Dwi Jayanto
Elinvo (Electronics, Informatics, and Vocational Education)
Penelitian ini bertujuan untuk menguji aplikasi mobile kamus istilah jaringan komputer pada platform android menggunakan standar kualitas perangkat lunak ISO/IEC 25010 pada aspek functional suitability, compatibility, performance efficiency, danusability. Metode yang digunakan adalah research and development. Hasil dari penelitian ini menunjukkan bahwa aplikasi telah memenuhi standar ISO/IEC 25010 pada aspek (1) functional suitability seluruh fungsi dari aplikasi berjalan 100% yang artinya tidak ada fungsi yang gagal saat dilakukan pengujian, (2) compatibility aplikasi kompatibel 100% darisisico-existence, berbagai sistem operasi dan tipe perangkat yang digunakan untuk pengujian, (3) performance efficiency aplikasi berhasil dijalankan di 436 dari 452 perangkatuji AWS Device …
Sistem Pendukung Keputusan Klinis Untuk Memprediksi Kejadian Asfiksia Neonatorum, Efi Laila Latifah
Sistem Pendukung Keputusan Klinis Untuk Memprediksi Kejadian Asfiksia Neonatorum, Efi Laila Latifah
Elinvo (Electronics, Informatics, and Vocational Education)
Asfiksia neonatorum merupakan kegawatdaruratan bayi baru lahir berupa depresi pernafasan yang berlanjut sehingga menimbulkan berbagai komplikasi bahkan mengakibatkan kematian. Menurut RISKESDAS Indonesia 2007, 78,5% kematian bayi merupakan kematian neonatal dini dengan penyebab terbesar karena asfiksia neonatorum. Oleh karena itu diperlukan suatu alat untuk mendeteksi dini potensi atau resiko kejadian asfiksia neonatorum pada setiap kehamilan. Identifikasi dini tersebut dapat dilakukan dengan mengaplikasikan Rule Based Reasoning dengan metode Forward Chaining yang dilanjutkan dengan Case Based Reasoning dalam sebuah sistem. Sistem yang dikembangkan dalam penelitian ini menghasilkan output berupa prediksi skor APGAR neonatus. Hasil pengujian sistem dalam penelitian ini menunjukkan bahwa penerimaan sistem …
Pengembangan Sistem Informasi Manajemen Praktik Industri Di Jurusan Pendidikan Teknik Elktronika Uny Berbasis Website Menggunakan Yii Framework, Agung Rizki Subhan
Pengembangan Sistem Informasi Manajemen Praktik Industri Di Jurusan Pendidikan Teknik Elktronika Uny Berbasis Website Menggunakan Yii Framework, Agung Rizki Subhan
Elinvo (Electronics, Informatics, and Vocational Education)
Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Manajemen Praktik Industri di Jurusan Pendidikan Teknik Elektronika Universitas Negeri Yogyakarta. Pengembangan dilakukan pada Juli 2016 sampai Desember 2016 di Jurusan Pendidikan Teknik Elektronika UNY. Pengembangan dilakukan dengan menggunakan model waterfall. Model waterfall terdiri dari analisis kebutuhan sistem, desain sistem, implementasi sistem dan pengujian sistem. Hasil dari penelitian ini adalah software Sistem Informasi Manajemen Praktik Industri di Jurusan Pendidikan Teknik Elektronika UNY berbasis web menggunakan Yii Framework. Fungsionalitas sistem diuji oleh 3 orang penguji yang masing masing menguji 52 fungsi. Dari pengujian tersebut, semua fungsi yang telah diuji dapat berjalan dengan baik. Sehingga, …
Pengujian Kualitas Kelayakan Perangkat Lunak Dengan Penerapanperancangan Model Rapid Application Development, Hari Toha Hidayat
Pengujian Kualitas Kelayakan Perangkat Lunak Dengan Penerapanperancangan Model Rapid Application Development, Hari Toha Hidayat
Elinvo (Electronics, Informatics, and Vocational Education)
Membangun suatu perangkat lunak yang berkualitas tidaklah mudah. Banyak hal yang harus diperhatikan dalam membuat suatu perangkat lunak yang berkualitas. Semakin berkualitas suatu perangkat lunak atau aplikasi maka akan semakin mahal harga yang dijual. Perangkat lunak yang berkualitas tidak hanya sekedar mencari keuntungan belaka akan tetapi mutu dari kualitas dan kuantitasnya yang sudah menjadi jaminan dari aplikasi yang ditawarkan. Pembuatan suatu perangkat lunak yang berkualitas selalu memperhatikan kebutuhan akan penggunanya, sehingga mampu memberikan solusi dari permasalahan yang dihadapi oleh para penggunanya. Selain itu, suatu aplikasi yang berkualitas selalu melalui tahapan - tahapan pengujian yang tidak singkat sehingga benar - benar …
Analisis Prinsip Layout And Composition Pada Web Design Perusahaan Pt. Bank Rakyat Indonesia, Tbk Dan Pt. Fif Group Berdasarkan Buku "The Principle Of Beautifull Website Design (2nd Edition) By Jason Beaird", Heri Kuswanto
Elinvo (Electronics, Informatics, and Vocational Education)
Kajian ini bertujuan untuk mengetahui prinsip-prinsip desain web yang menarik berdasarkan buku "The Principle of The Beatiful Website Design (2nd edition) by Jason Beaird yang difokuskan pada prinsip Layout and Composition, sekaligus menjawab apakah perusahaan yang memiliki divisi IT menerapkan prinsip tersebut. Metode yang digunakan adalah pendekatan studi kasus, dengan tujuh variabel yakni web page anatomy, grid theory, balance, unity, emphasis, fresh trend dan resizing: fixed, fluid, or responsive layouts. Kajian dilakukan dengan menganalisis dan membandingkan dua buah website perusahaan nasional dengan hasil yang menunjukkan bahwa rancangan website lebih dipengaruhi oleh faktor pandangan dari sisi kegunaan dan estetika.
Analisis Desain Website Bni, Bukopin, J.Co Donuts Dan Mcdonals Menurut Buku "The Principles Of Beautiful Web Design", Fitria Ekarini
Analisis Desain Website Bni, Bukopin, J.Co Donuts Dan Mcdonals Menurut Buku "The Principles Of Beautiful Web Design", Fitria Ekarini
Elinvo (Electronics, Informatics, and Vocational Education)
Paper ini bertujuan untuk mengetahui hasil analisis desain beberapa tampilan website berdasarkan teori "The Principle Beautiful Web Design" menggunakan tujuh variabel antara lain Defining good Design, Web Page Anatomy, Grid Theory, Balance, Unity, Bread and Butter Layout dan Fresh Trends. Penelitian ini membandingkan empat website yang terdiri 2 jenis website perbankan dan 2 jenis food company. yaitu website BNI, website Bank BUKOPIN, website Jco Donuts, dan website McDonals. Hasilnya didapatkan bahwa website food company lebih baik dalam desain tampilan websitenya dibandingan dengan website perbankan. Dalam website food company hampir seluruh variabel digunakan dalam mendesain tampilan websitenya.
Characteristics Of Different Deep Neural Networks And Application Of Pre-Trained Model Without Transfer Learning, Zhiqi Peng
Theses
Deep neural networks have been successful in many areas, some of them even surpass human performances. The goal of this thesis is using data simulations to present different characteristics of three deep neural networks: fully connected deep neural network, convolutional neural network, recurrent neural network, which will perform best when dealing with different feature patterns. By using these characteristics to design a deep neural network on top of an adopted pre-trained model with untrainable layers, achieved an averagely 11.1% improvement than a model with transfer learning method.
Looping Predictive Method To Improve Accuracy Of A Machine Learning Model, Subramanyam Reddy Pogili
Looping Predictive Method To Improve Accuracy Of A Machine Learning Model, Subramanyam Reddy Pogili
Theses
The topic of this project is an analysis of drug-related tweets. The goal is to build a Machine Learning Model that can distinguish between tweets that indicate drug abuse and other tweets that also contain the name of a drug but do not describe abuse. Drugs can be illegal, such as heroin, or legal drugs with a potential of abuse, such as painkillers. However, building a good Machine Learning Model requires a large amount of training data. For each training tweet, a human expert has determined whether it indicates drug abuse or not. This is difficult work for humans. …
Gaze-Contingent Displays For Interactive Text Enhancement, Divya Bajaj
Gaze-Contingent Displays For Interactive Text Enhancement, Divya Bajaj
Graduate Masters Theses
Eye trackers are used for measuring a person’s eye movements, for example, while reading text on a screen. This information can be used by scientists to study the human visual system during object recognition or text comprehension. Moreover, engineers can build gaze-controlled interfaces that trigger a variety of actions when the user looks at pre-specified icons on a screen. In my research, I studied how gaze-contingent displays can be used to enhance the information that is provided by texts. First, I implemented a simple scripting language that allows even users without programming experience to set up gaze-contingent text displays. The …
Semantic Hierarchies For Extracting, Modeling, And Connecting Compliance Requirements In Information Security Control Standards, Matthew L. Hale, Rose F. Gamble
Semantic Hierarchies For Extracting, Modeling, And Connecting Compliance Requirements In Information Security Control Standards, Matthew L. Hale, Rose F. Gamble
Interdisciplinary Informatics Faculty Publications
Companies and government organizations are increasingly compelled, if not required by law, to ensure that their information systems will comply with various federal and industry regulatory standards, such as the NIST Special Publication on Security Controls for Federal Information Systems (NIST SP-800-53), or the Common Criteria (ISO 15408-2). Such organizations operate business or mission critical systems where a lack of or lapse in security protections translates to serious confidentiality, integrity, and availability risks that, if exploited, could result in information disclosure, loss of money, or, at worst, loss of life. To mitigate these risks and ensure that their information systems …
Stable Solution To L 2,1-Based Robust Inductive Matrix Completion And Its Application In Linking Long Noncoding Rnas To Human Diseases, Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Chris Ding, Jean X. Gao
Stable Solution To L 2,1-Based Robust Inductive Matrix Completion And Its Application In Linking Long Noncoding Rnas To Human Diseases, Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Chris Ding, Jean X. Gao
Computer Science Faculty Publications
Backgrounds
A large number of long intergenic non-coding RNAs (lincRNAs) are linked to a broad spectrum of human diseases. The disease association with many other lincRNAs still remain as puzzle. Validation of such links between the two entities through biological experiments are expensive. However, a plethora lincRNA-data are available now, thanks to the High Throughput Sequencing (HTS) platforms, Genome Wide Association Studies (GWAS), etc, which opens the opportunity for cutting-edge machine learning and data mining approaches to extract meaningful relationships among lincRNAs and diseases. However, there are only a few in silico lincRNA-disease association inference tools available to date, and …
Stable Solution To L 2,1-Based Robust Inductive Matrix Completion And Its Application In Linking Long Noncoding Rnas To Human Diseases, Ashis Kumer Biswas, Dongchul Kim, Mingon Kang, Chris Ding
Stable Solution To L 2,1-Based Robust Inductive Matrix Completion And Its Application In Linking Long Noncoding Rnas To Human Diseases, Ashis Kumer Biswas, Dongchul Kim, Mingon Kang, Chris Ding
Faculty Articles
Backgrounds A large number of long intergenic non-coding RNAs (lincRNAs) are linked to a broad spectrum of human diseases. The disease association with many other lincRNAs still remain as puzzle. Validation of such links between the two entities through biological experiments are expensive. However, a plethora lincRNA-data are available now, thanks to the High Throughput Sequencing (HTS) platforms, Genome Wide Association Studies (GWAS), etc, which opens the opportunity for cutting-edge machine learning and data mining approaches to extract meaningful relationships among lincRNAs and diseases. However, there are only a few in silico lincRNA-disease association inference tools available to date, and …
Encoding Lexicographical Ordering Constraints In Sat, Wenting Zhao
Encoding Lexicographical Ordering Constraints In Sat, Wenting Zhao
Honors Projects
Symmetry occurs in many constraint satisfaction problems, and it is important to deal with it efficiently and effectively, as it often leads to an exponential number of isomorphic assignments. Symmetric rows and columns in matrices are an important class of symmetries in constraint programming. In this work, we develop a new SAT encoding for partial lexicographical ordering constraints to break symmetries in such places. We also survey all the previous complete lex-leader encodings in literature and translate them into SAT encodings. We perform experimental analysis on how these lex-leader constraints impact the solving of Balanced Incomplete Block Design (BIBD) instances. …
Visual Odometry Using Convolutional Neural Networks, Alec Graves, Steffen Lim, Thomas Fagan, Kevin Mcfall Phd.
Visual Odometry Using Convolutional Neural Networks, Alec Graves, Steffen Lim, Thomas Fagan, Kevin Mcfall Phd.
The Kennesaw Journal of Undergraduate Research
Visual odometry is the process of tracking an agent's motion over time using a visual sensor. The visual odometry problem has only been recently solved using traditional, non-machine learning techniques. Despite the success of neural networks at many related problems such as object recognition, feature detection, and optical flow, visual odometry still has not been solved with a deep learning technique. This paper attempts to implement several Convolutional Neural Networks to solve the visual odometry problem and compare slight variations in data preprocessing. The work presented is a step toward reaching a legitimate neural network solution.
Atomistic Simulations And Network-Based Modeling Of The Hsp90-Cdc37 Chaperone Binding With Cdk4 Client Protein: A Mechanism Of Chaperoning Kinase Clients By Exploiting Weak Spots Of Intrinsically Dynamic Kinase Domains, John Czemeres, Kurt Buse, Gennady M. Verkhivker
Atomistic Simulations And Network-Based Modeling Of The Hsp90-Cdc37 Chaperone Binding With Cdk4 Client Protein: A Mechanism Of Chaperoning Kinase Clients By Exploiting Weak Spots Of Intrinsically Dynamic Kinase Domains, John Czemeres, Kurt Buse, Gennady M. Verkhivker
Mathematics, Physics, and Computer Science Faculty Articles and Research
A fundamental role of the Hsp90 and Cdc37 chaperones in mediating conformational development and activation of diverse protein kinase clients is essential in signal transduction. There has been increasing evidence that the Hsp90-Cdc37 system executes its chaperoning duties by recognizing conformational instability of kinase clients and modulating their folding landscapes. The recent cryo-electron microscopy structure of the Hsp90-Cdc37- Cdk4 kinase complex has provided a framework for dissecting regulatory principles underlying differentiation and recruitment of protein kinase clients to the chaperone machinery. In this work, we have combined atomistic simulations with protein stability and network-based rigidity decomposition analyses to characterize dynamic …
Remote Sensing Of Forests Using Discrete Return Airborne Lidar, Hamid Hamraz, Marco A. Contreras
Remote Sensing Of Forests Using Discrete Return Airborne Lidar, Hamid Hamraz, Marco A. Contreras
Forestry and Natural Resources Faculty Publications
Airborne discrete return light detection and ranging (LiDAR) point clouds covering forested areas can be processed to segment individual trees and retrieve their morphological attributes. Segmenting individual trees in natural deciduous forests, however, remained a challenge because of the complex and multi-layered canopy. In this chapter, we present (i) a robust segmentation method that avoids a priori assumptions about the canopy structure, (ii) a vertical canopy stratification procedure that improves segmentation of understory trees, (iii) an occlusion model for estimating the point density of each canopy stratum, and (iv) a distributed computing approach for efficient processing at the forest level. …
Automated Species Classification Methods For Passive Acoustic Monitoring Of Beaked Whales, John Lebien
Automated Species Classification Methods For Passive Acoustic Monitoring Of Beaked Whales, John Lebien
LSU New Orleans Theses and Dissertations
The Littoral Acoustic Demonstration Center has collected passive acoustic monitoring data in the northern Gulf of Mexico since 2001. Recordings were made in 2007 near the Deepwater Horizon oil spill that provide a baseline for an extensive study of regional marine mammal populations in response to the disaster. Animal density estimates can be derived from detections of echolocation signals in the acoustic data. Beaked whales are of particular interest as they remain one of the least understood groups of marine mammals, and relatively few abundance estimates exist. Efficient methods for classifying detected echolocation transients are essential for mining long-term passive …
Underwater Acoustic Signal Analysis Toolkit, Kirk Bienvenu Jr
Underwater Acoustic Signal Analysis Toolkit, Kirk Bienvenu Jr
LSU New Orleans Theses and Dissertations
This project started early in the summer of 2016 when it became evident there was a need for an effective and efficient signal analysis toolkit for the Littoral Acoustic Demonstration Center Gulf Ecological Monitoring and Modeling (LADC-GEMM) Research Consortium. LADC-GEMM collected underwater acoustic data in the northern Gulf of Mexico during the summer of 2015 using Environmental Acoustic Recording Systems (EARS) buoys. Much of the visualization of data was handled through short scripts and executed through terminal commands, each time requiring the data to be loaded into memory and parameters to be fed through arguments. The vision was to develop …
Virtual Reality As A Training Tool To Treat Physical Inactivity In Children, Adam W. Kiefer, David Pincus, Michael J. Richardson, Gregory D. Myer
Virtual Reality As A Training Tool To Treat Physical Inactivity In Children, Adam W. Kiefer, David Pincus, Michael J. Richardson, Gregory D. Myer
Psychology Faculty Articles and Research
Lack of adequate physical activity in children is an epidemic that can result in obesity and other poor health outcomes across the lifespan. Physical activity interventions focused on motor skill competence continue to be developed, but some interventions, such as neuromuscular training (NMT), may be limited in how early they can be implemented due to dependence on the child’s level of cognitive and perceptual-motor development. Early implementation of motor-rich activities that support motor skill development in children is critical for the development of healthy levels of physical activity that carry through into adulthood. Virtual reality (VR) training may be beneficial …
Redesign Of The Bridgewater State University Website, Jordan Rossetti
Redesign Of The Bridgewater State University Website, Jordan Rossetti
Honors Program Theses and Projects
In this thesis, I studied human-computer interaction (HCI), analyzed the usability of the Bridgewater State University website, and redesigned it guided by HCI principles and user experiments. A goal of the project is to apply suggestions from HCI research to the usability analysis of an existing website. I redesigned the website based on this analysis and by conducting user experiments compare the redesign against the existing BSU website. With this project, I redesigned a website that demonstrably improves users’ success at information seeking and navigation while reducing frustration and hassle compared to the current Bridgewater State University (BSU) website. This …
Developing A Virtual Reality Android Application To Remote Explore A Room, Jamie Nelson
Developing A Virtual Reality Android Application To Remote Explore A Room, Jamie Nelson
Honors Program Theses and Projects
Virtual reality is a rapidly growing area of research. Many scholars are emphasizing its importance and creators are designing cheaper equipment to acquire it. The purpose of this research was to create a simple virtual reality mobile application that allows the user to explore a room. For this thesis, we created a robot and, with the help from a fellow researcher, we optimized the robot for this specific task. We programed the robot to move forward in small increments and to spin a platform holding a Go Pro camera. The camera sends a live stream video to an Android mobile …
A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard K. Nilsen, Yair Levy, Steven R. Terrell Ph.D., Dawn Beyer
A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard K. Nilsen, Yair Levy, Steven R. Terrell Ph.D., Dawn Beyer
Journal of Cybersecurity Education, Research and Practice
Organizational information system users (OISUs) that are open to cyber threats vectors are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. The main goal of this research study was to propose and validate, using subject matter experts (SMEs), a reliable hands-on assessment prototype tool for measuring the knowledge, skills, and abilities (KSAs) that comprise the cybersecurity competency of an OISU. Primarily using the Delphi methodology, this study implemented four phases of data collection using cybersecurity SMEs for proposing and …
A Toolkit Approach To Information Security Awareness And Education, Peter Korovessis, Steven Furnell, Maria Papadaki, Paul Haskell-Dowland
A Toolkit Approach To Information Security Awareness And Education, Peter Korovessis, Steven Furnell, Maria Papadaki, Paul Haskell-Dowland
Journal of Cybersecurity Education, Research and Practice
In today’s business environment where all operations are enabled by technology, information security has become an established discipline as more and more businesses realize its value. The human component has been recognized to have an important role in information security since the only way to reduce security risks is through making employees more information security aware. Towards this goal the research will appreciate the importance of information security awareness by illustrating the need for more effective user training. Further to that it proposes and develops an information security toolkit as a prototype awareness raising initiative. Apart from the elements of …
From The Editors, Herbert J. Mattord, Michael E. Whitman, Carole L. Hollingsworth
From The Editors, Herbert J. Mattord, Michael E. Whitman, Carole L. Hollingsworth
Journal of Cybersecurity Education, Research and Practice
No abstract provided.
Social Media Risk Perceptions Of Human Resource Professionals: Issues Undergraduate Students Should Consider, Julio C. Rivera, Jack Howard, Samuel Goh, James L. Worrell, Paul Di Gangi
Social Media Risk Perceptions Of Human Resource Professionals: Issues Undergraduate Students Should Consider, Julio C. Rivera, Jack Howard, Samuel Goh, James L. Worrell, Paul Di Gangi
Journal of Cybersecurity Education, Research and Practice
This study contrasts the social media risk perceptions of undergraduate students, versus those of certified Human Resource professionals. Social media is widely used by most segments of the population, and particularly among the age group that includes most undergraduate students. Organizations hiring employees are increasingly examining job applicant's social media postings as part of the applicant screening process. In this study we examine how these groups differ in their perceptions of the risks inherent in using social media, and what these differences may mean for students seeking employment. Recommendations are made for raising undergraduate student awareness of these risks.