Digital Commons Network^™

Revisiting The Identification Of The Co-Evolution Of Production And Test Code, Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo

Research Collection School Of Computing and Information Systems

Many software processes advocate that the test code should co-evolve with the production code. Prior work usually studies such co-evolution based on production-test co-evolution samples mined from software repositories. A production-test co-evolution sample refers to a pair of a test code change and a production code change where the test code change triggers or is triggered by the production code change. The quality of the mined samples is critical to the reliability of research conclusions. Existing studies mined production-test co-evolution samples based on the following assumption: if a test class and its associated production class change together in one commit, …

Fair Cloud Auditing Based On Blockchain For Resource-Constrained Iot Devices, Lei Zhou, Anmin Fu, Guomin Yang, Yansong Gao, Shui Yu, Robert H. Deng

Research Collection School Of Computing and Information Systems

Internet of Things (IoT) devices upload their data into the cloud for storage because of their limited resources. However, cloud storage data has been subject to potential integrity threats, and consequently auditing techniques are demanded to ensure the integrity of stored data. Unfortunately, existing auditing approaches require owners to undertake expensive tag calculations, which is unsuitable for resource-constrained IoT devices. To resolve the issue, we present a Fair Cloud Auditing proposal by employing the Blockchain (FCAB). We combine certificateless signatures with the designed dynamic structure to constructively offload the cost of tag computation from the IoT device to the introduced …

Grasp Solution Approach For The E-Waste Collection Problem, Aldy Gunawan, Dang Viet Anh Nguyen, Pham Kien Minh Nguyen, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

The digital economy has brought significant advancements in electronic devices, increasing convenience and comfort in people’s lives. However, this progress has also led to a shorter life cycle for these devices due to rapid advancements in hardware and software technology. As a result, e-waste collection and recycling have become vital for protecting the environment and people’s health. From the operations research perspective, the e-waste collection problem can be modeled as the Heterogeneous Vehicle Routing Problem with Multiple Time Windows (HVRP-MTW). This study proposes a metaheuristic based on the Greedy Randomized Adaptive Search Procedure complemented by Path Relinking (GRASP-PR) to solve …

When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem In Peer-To-Peer Logistics Platforms, Zhiqin Zhang, Waldy Joe, Yuyang Er, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Peer-to-Peer (P2P) logistics platforms, unlike traditional last-mile logistics providers, do not have dedicated delivery resources (both vehicles and drivers). Thus, the efficiency of such operating model lies in the successful matching of demand and supply, i.e., how to match the delivery tasks with suitable drivers that will result in successful assignment and completion of the tasks. We consider a Same-Day Delivery Problem (SDDP) involving a P2P logistics platform where new orders arrive dynamically and the platform operator needs to generate a list of recommended orders to the crowdsourced drivers. We formulate this problem as a Dynamic Order Recommendations Problem (DORP). …

Autoconf: Automated Configuration Of Unsupervised Learning Systems Using Metamorphic Testing And Bayesian Optimization, Lwin Khin Shar, Goknil Arda, Erik Johannes Husom, Sagar Sen Sen, Naing Tun Yan, Kisub Kim

Research Collection School Of Computing and Information Systems

Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their effectiveness highly depends on their configuration, which requires domain-specific expertise and often involves numerous manual trials. Specifically, selecting appropriate algorithms and hyperparameters adds to the com- plexity of the configuration process. In this paper, we propose, apply, and assess an automated approach (AutoConf) for config- uring unsupervised learning systems using clustering, leveraging metamorphic testing and Bayesian optimization. Metamorphic testing is utilized to verify the configurations of unsupervised learning systems by applying a …

Understanding Multi-Homing And Switching By Platform Drivers, Xiaotong Guo, Andreas Haupt, Hai Wang, Rida Qadri, Jinhua Zhao

Research Collection School Of Computing and Information Systems

Freelance drivers in the shared mobility market frequently switch or work for multiple platforms, affecting driver labor supply. Due to the importance of driver labor supply for the shared mobility market, understanding drivers’ switching and multi-homing behavior is vital to managing service quality on – and effective regulation of – mobility platforms. However, a lack of individual-level data on driver behavior has thus far impeded a deeper understanding. This paper taxonomizes and estimates perceived switching and multi-homing frictions on mobility platforms. Based on a structural model of driver labor supply, we estimate switching and multi-homing costs in a platform duopoly …

Arduinoprog: Towards Automating Arduino Programming, Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Writing code for Arduino poses unique challenges. A developer 1) needs hardware-specific knowledge about the interface configuration between the Arduino controller and the I/Ohardware, 2) identifies a suitable driver library for the I/O hardware, and 3) follows certain usage patterns of the driver library in order to use them properly. In this work, based on a study of real-world user queries posted in the Arduino forum, we propose ArduinoProg to address such challenges. ArduinoProg consists of three components, i.e., Library Retriever, Configuration Classifier, and Pattern Generator. Given a query, Library Retriever retrieves library names relevant to the I/O hardware identified …

A Learning‑Based Approach For Estimating Inertial Properties Of Unknown Objects From Encoder Discrepancies, Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory S. Chirikjian

Research Collection School Of Computing and Information Systems

Many robots utilize commercial force/torque sensors to identify inertial properties of unknown objects. However, such sensors can be difficult to apply to small-sized robots due to their weight, size, and cost. In this letter, we propose a learning-based approach for estimating the mass and center of mass (COM) of unknown objects without using force/torque sensors at the end effector or on the joints. In our method, a robot arm carries an unknown object as it moves through multiple discrete configurations. Measurements are collected when the robot reaches each discrete configuration and stops. A neural network then estimates joint torques from …

Are We Ready To Embrace Generative Ai For Software Q&A?, Bowen Xu, Thanh-Dat Nguyen, Thanh Le Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo

Research Collection School Of Computing and Information Systems

Stack Overflow, the world's largest software Q&A (SQA) website, is facing a significant traffic drop due to the emergence of generative AI techniques. ChatGPT is banned by Stack Overflow after only 6 days from its release. The main reason provided by the official Stack Overflow is that the answers generated by ChatGPT are of low quality. To verify this, we conduct a comparative evaluation of human-written and ChatGPT-generated answers. Our methodology employs both automatic comparison and a manual study. Our results suggest that human-written and ChatGPT-generated answers are semantically similar, however, human-written answers outperform ChatGPT-generated ones consistently across multiple aspects, …

An End-To-End Cnn Approach For Enhancing Underwater Images Using Spatial And Frequency Domain Techniques, Dr Khaled Nagaty, Ayah Hesham Abo El Rejal, The British University In Egypt

Computer Science

Underwater image processing area has been a central point of interest to many people in many fields such as control of underwater vehicles, archaeology, marine biology research, etc. Underwater exploration is becoming a big part of our life such as underwater marine and creatures research, pipeline and communication logistics, military use, touristic and entertainment use. Underwater images are subject to poor visibility, distortion, poor quality, etc., due to several reasons such as light propagation. The real problem occurs when these images have to be taken at a depth which is more than 500 feet where artificial light needs to be …

Tailoring Strontium-Promoted Alumina-Zirconia Supported Ni-Catalysts For Enhanced Co2 Utilization Via Dry Reforming Of Methane: Sr Loading Effects And Process Optimization, Ahmed Al-Fatesh, Maher Alrashed, Radwa El-Salamony, Mai H. Roushdy, Saba Alwan, Ahmed Osman, Mohamed Bayazed, Anis Fakeeha, Ahmed Ibrahim, Rawesh Kumar

Chemical Engineering

An urgent need exists in the dry reforming of methane (DRM) community for a cost-effective and high performance catalyst system to facilitate the industrial production of H2-rich syngas. In this study, we propose a catalyst composed of a 10 wt% ZrO2-90 wt% Al2O3 support, Ni as active sites, and a strontium promoter, which offers a promising solution. Characterization of the 5NixSr/10Zr+Al catalyst series (x = 0–4 wt%) was conducted using XRD, surface area and porosity analysis, and TPR, TPO, TPD techniques, revealing the stability of metallic Ni derived from the reduction of "moderately interacted NiO-species" under oxidizing-reducing conditions. Incorporating 3 …

Benewind: An Adaptive Benefit Win–Win Platform With Distributed Virtual Emotion Foundation, Hyunbum Kim, Jalel Ben-Othman

All Works

In recent decades, online platforms that use Web 3.0 have tremendously expanded their goods, services, and values to numerous applications thanks to its inherent advantages of convenience, service speed, connectivity, etc. Although online commerce and other relevant platforms have clear merits, offline-based commerce and payments are indispensable and should be activated continuously, because offline systems have intrinsic value for people. With the theme of benefiting all humankind, we propose a new adaptive benefit platform, called BeneWinD, which is endowed with strengths of online and offline platforms. Furthermore, a new currency for integrated benefits, the win–win digital currency, is used in …

Sentence Embedding Approach Using Lstm Auto-Encoder For Discussion Threads Summarization, Abdul Wali Khan, Feras Al-Obeidat, Afsheen Khalid, Adnan Amin, Fernando Moreira

All Works

Online discussion forums are repositories of valuable information where users interact and articulate their ideas and opinions, and share experiences about numerous topics. These online discussion forums are internet-based online communities where users can ask for help and find the solution to a problem. A new user of online discussion forums becomes exhausted from reading the significant number of irrelevant replies in a discussion. An automated discussion thread summarizing system (DTS) is necessary to create a candid view of the entire discussion of a query. Most of the previous approaches for automated DTS use the continuous bag of words (CBOW) …

Perceptions And Barriers To Adopting Artificial Intelligence In K-12 Education: A Survey Of Educators In Fifty States, Karen Woodruff, James Hutson, Kathryn Arnone

Faculty Scholarship

Artificial Intelligence (AI) is making significant strides in the field of education, offering new opportunities for personalized learning and access to education for a more diverse population. Despite this potential, the adoption of AI in K-12 education is limited, and educators’ express hesitancy towards its integration due to perceived technological barriers and misconceptions. The purpose of this study is to examine the perceptions of K-12 educators in all 50 states of the USA towards AI, policies, training, and resources related to technology and AI, their comfort with technology, willingness to adopt new technologies for classroom instruction, and needs assessment for …

Contribution Of Implicit Memory To Adaptation Of Movement Extent During Reaching Against Unpredictable Spring-Like Loads: Insensitivity To Intentional Suppression Of Kinematic Performance, Devon D. Lantagne, Leigh A. Mrotek, James B. Hoelzle, Danny G. Thomas, Robert A. Scheidt

Psychology Faculty Research and Publications

We examined the extent to which intentionally underperforming a goal-directed reaching task impacts how memories of recent performance contribute to sensorimotor adaptation. Healthy human subjects performed computerized cognition testing and an assessment of sensorimotor adaptation, wherein they grasped the handle of a horizontal planar robot while making goal-directed out-and-back reaching movements. The robot exerted forces that resisted hand motion with a spring-like load that changed unpredictably between movements. The robotic test assessed how implicit and explicit memories of sensorimotor performance contribute to the compensation for the unpredictable changes in the hand-held load. After each movement, subjects were to recall and …

Strong-Field Vacuum Polarisation With High Energy Lasers, A. J. Macleod, J. P. Edwards, T. Heinzl, B. King, S. V. Bulanov

School of Engineering, Computing and Mathematics

When photons propagate in vacuum they may fluctuate into matter pairs thus allowing the vacuum to be polarised. This linear effect leads to charge screening and renormalisation. When exposed to an intense background field a nonlinear effect can arise when the vacuum is polarised by higher powers of the background. This nonlinearity breaks the superposition principle of classical electrodynamics, allowing for light-by-light scattering of probe and background photons mediated through virtual pairs dressed by the background. Vacuum polarisation is a strong-field effect when all orders of interaction between the virtual pair and the background must be taken into account. In …

Challenges In Estimating The Effectiveness Of 2 Doses Of Covid-19 Vaccine Beyond 6 Months In England, Elsie M.F. Horne, William J. Hulme, Ruth H. Keogh, Tom M. Palmer, Elizabeth J. Williamson, Edward P.K. Parker, Venexia M. Walker, Rochelle Knight, Yinghui Wei, Kurt Taylor, Louis Fisher, Jessica Morley, Amir Mehrkar, Iain Dillingham, Sebastian Bacon, Ben Goldacre, Jonathan A.C. Sterne

School of Engineering, Computing and Mathematics

Understanding how the effectiveness of coronavirus disease 2019 (COVID-19) vaccine changes over time and in response to new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is crucial to scheduling subsequent doses. In a previous study, Horne et al. (1) quantified vaccine effectiveness (VE) over 6 consecutive 4-week periods from 2 weeks to 26 weeks after the second dose. Waning of hazard ratios (HRs) when comparing vaccinated persons with unvaccinated persons was approximately log-linear over time and was consistent across COVID-19– related outcomes and risk-based subgroups. To investigate waning beyond 26 weeks and in the era of the Omicron variant, …

Simulations Of Laser-Driven Strong-Field Qed With Ptarmigan: Resolving Wavelength-Scale Interference And Γ-Ray Polarization, T. G. Blackburn, B. King, S. Tang

School of Engineering, Computing and Mathematics

Accurate modeling is necessary to support precision experiments investigating strong-field QED phenomena. This modeling is particularly challenging in the transition between the perturbative and nonperturbative regimes, where the normalized laser amplitude a0 is comparable to unity and wavelength-scale interference is significant. Here, we describe how to simulate nonlinear Compton scattering, Breit–Wheeler pair creation, and trident pair creation in this regime, using the Monte Carlo particle-tracking code Ptarmigan. This code simulates collisions between high-intensity lasers and beams of electrons or γ rays, primarily in the framework of the locally monochromatic approximation. We benchmark our simulation results against full QED calculations for …

Experimental And Numerical Investigation On Thermal Properties Of Alkali-Activated Concrete At Elevated Temperatures, Min Yu, Hanjie Lin, Tan Wang, Feiyu Shi, Dawang Li, Yin Chi, L-Y Li

School of Engineering, Computing and Mathematics

his paper presents the experimental and numerical investigation on the thermal properties of steel fibre-reinforced alkali-activated concrete (AAC) made by using multiple precursors at elevated temperatures. The temperature-dependent thermal properties such as mass change, thermal conductivity, density, specific heat, and thermal expansion are reported. The effects of temperature heating AAC, coarse aggregate, and steel fibre on the thermal performance of AAC are evaluated quantitatively. Experimental results show that high temperature greatly affects the thermal properties of AAC. Coarse aggregate and steel fibre also have a considerable influence on the thermal properties. Based on the test results, a multi-phase mesoscale model …

Repeatability Of Morphological Change On A Sandy Beach Across Multiple Timescales, Chris Blenkinsopp, Paul Bayle, Tom Baldock, Daniel Conley, Gerd Masselink

School of Biological and Marine Sciences

No abstract provided.

Isolation Of Tumour-Reactive Lymphocytes From Peripheral Blood Via Microfluidic Immunomagnetic Cell Sorting, Zongjie Wang, Sharif Ahmed, Mahmoud Labib, Hansen Wang, Licun Wu, Fatemeh Bavaghar-Zaeimi, Nastaran Shokri, Soraly Blanco, Saraf Karim, Kasia Czarnecka-Kujawa, Edward H. Sargent, A. J.Robert Mcgray, Marc De Perrot, Shana O. Kelley

Peninsula Medical School

The clinical use of tumour-infiltrating lymphocytes for the treatment of solid tumours is hindered by the need to obtain large and fresh tumour fractions, which is often not feasible in patients with unresectable tumours or recurrent metastases. Here we show that circulating tumour-reactive lymphocytes (cTRLs) can be isolated from peripheral blood at high yield and purity via microfluidic immunomagnetic cell sorting, allowing for comprehensive downstream analyses of these rare cells. We observed that CD103 is strongly expressed by the isolated cTRLs, and that in mice with subcutaneous tumours, tumour-infiltrating lymphocytes isolated from the tumours and rapidly expanded CD8+CD103+ cTRLs isolated …

Kentucky Traffic Collision Facts 2022 Report, Paul Ross, Eric Green, Christopher Blackden, Kenneth R. Agent, Christopher Van Dyke

Kentucky Transportation Center Research Report

Kentucky’s Traffic Collision Facts is based on collision reports submitted to the Kentucky State Police Records Branch. As required by Kentucky Revised Statute 189.635: “Every law enforcement agency whose officers investigate a vehicle accident of which a report must be made...shall file a report of the accident...within ten days after investigation of the accident upon forms supplied by the bureau.” The stated purpose of this requirement is to utilize data on traffic collisions to improve the Commonwealth’s traffic safety program. Unless otherwise noted, data in this publication are for public roads only. Data contained in this report are based solely …

Analysis Of Traffic Crash Data In Kentucky 2018-2022, Paul Ross, Eric Green, Christopher Blackden, Christopher Van Dyke

Kentucky Transportation Center Research Report

This report documents analysis of traffic crash data in Kentucky. A primary objective of this study was to determine average crash statistics for Kentucky highways. Where used, rates were calculated for various highway types and for counties and cities. Difference criteria were used for exposure. Average and critical numbers, SPFs, and crash rates were calculated for various highway types in rural and urban areas. These metrics rely on crashes identified on highways where Annual Average Daily Traffic (AADT) volumes were available. Data in this report may be used to help identify problem areas. The other primary objective of this study …

Inspection Training Course On Bridge Preventive Maintenance Activities, Danny Wells, Sudhir Palle

Kentucky Transportation Center Research Report

Despite over 30 percent of bridges in the United States having exceeded their 50-year design lives, most state departments of transportation (DOTs) lack the funding needed to replace bridges on a large scale. In response, agencies have increasingly turned to bridge preventive maintenance activities to prolong bridge service lives. These activities provide a safe and cost-effective way to slow the rate at which structures deteriorate, mitigate the effects of aging, and improve bridge functional condition. The Kentucky Transportation Cabinet (KYTC) has become increasingly reliant on preventive maintenance to preserve and extend the service lives of its steel and concrete bridges. …

Challenges And Solutions For Autonomous Ground Robot Scene Understanding And Navigation In Unstructured Outdoor Environments: A Review, Liyana Wijayathunga, Alexander Rassau, Douglas Chai

Research outputs 2022 to 2026

The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively high levels of autonomy. In more unstructured environments, however, the development of fully autonomous mobile robots remains challenging due to the complexity of understanding these environments. Many autonomous mobile robots use classical, learning-based or hybrid approaches for navigation. More recent learning-based methods may replace the complete navigation pipeline or selected stages of the classical approach. For effective deployment, autonomous robots must understand their external environments at a …

Experimental Investigation On Coal Fines Migration Through Proppant Packs: Assessing Variation Of Formation Damage And Filtration Coefficients, Faisal Ur Rahman Awan, Mohsen Farrokhrouz, Hamed Akhondzadeh, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Coalbed methane reservoirs generate coal fines during production that cause irreversible damage to cleat conductivity. In severe scenarios, this can result in temporary closure of recovery operations from the gas well(s). In this work, we simulate the impact of coal fines on proppant conductivity. Four sets of experiments were conducted: effect of salinity – 0 to 3.5 NaCl wt.%, pH – 2 to 11, coal rank - anthracite, high volatile bituminous, and sub-bituminous; and 0.01 wt% additives – Sodium Dodecyl Benzene Sulfonate (SDBS) and Cetrimonium bromide (CTAB) and validated with established analytical models. Moreover, medical computed tomography of three extreme …

Low-Frequency Laboratory Measurements Of The Elastic Properties Of Solids Using A Distributed Acoustic Sensing System, Vassily Mikhaltsevitch, Maxim Lebedev, Roman Pevzner, Alexey Yurikov, Konstantin Tertyshnikov

Research outputs 2022 to 2026

In recent decades, low-frequency (LF) experiments based on the forced-oscillation (FO) method have become common practice in many rock physics laboratories for measuring the elastic and anelastic properties of rocks. However, the use of the electronic displacement sensors in traditional acquisition systems of FO devices such as conventional capacitive transducers or strain gauges seriously limits both the efficiency and productivity of LF measurements, and, due to the limited contact area of the displacement sensors with a sample under test, increases the requirements for sample homogeneity. In this paper, we present the first results obtained in the development of a new …

Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou

Research Collection Lee Kong Chian School Of Business

Uncertain job types can arise as a result of predictive or diagnostic inaccuracy in healthcare or repair service systems and unknown preferences in matching service systems. In this paper, we study systems with multiple types of jobs, in which type information is imperfect and will be updated dynamically. Each job has a prior probability of belonging to a certain type which may be predicted by data, models, or experts. A job can only be processed by the right machine, and a job assigned to the wrong machine must be rescheduled. More information is learned from the mismatch, and job type …

Public Sentiments And The Influence Of Information-Seeking Preferences On Knowledge, Attitudes, Death Conversation And Receptiveness Towards Palliative Care: Results From A Nationwide Survey In Singapore, Su Lin Yeo, Raymond Han Lip Ng, Tan Ying Peh, May O. Lwin, Poh Heng Chong, Patricia Soek Hui Neo, Jamie Xuelian Zhou, Angel Lee

Research Collection Lee Kong Chian School Of Business

Background: Low awareness about palliative care among the global public and healthcare communities has been frequently cited as a persistent barrier to palliative care acceptance. Given that knowledge shapes attitudes and encourages receptiveness, it is critical to examine factors that influence the motivation to increase knowledge. Health information-seeking from individuals and media has been identified as a key factor, as the process of accessing and interpreting information to enhance knowledge has been shown to positively impact health behaviours. Objective: Our study aimed to uncover public sentiments toward palliative care in Singapore. A conceptual framework was additionally developed to investigate the …

Biomolecule-Functionalized Nanoformulations For Prostate Cancer Theranostics, Fnu Pranav, Partha Laskar, Meena Jaggi, Subhash C. Chauhan, Murali M. Yallapu

School of Medicine Publications

Highlights

• Nanomaterials for prostate cancer therapy and their current clinical trial status.

• Strategies for conjugating different biomolecules with nanomaterials.

• Biofunctionalized nanosystems used for the detection of different prostate-specific biomarkers and direct visualization of tumor cells.

• Biofunctionalized nanosystems used for the targeted delivery of drugs and biomacromolecules.

• Design and synthesis of biomimetic nanomaterials especially exosomes and viral particle functionalized nanomaterials against prostate cancer.

Abstract

Background

Even with the advancement in the areas of cancer nanotechnology, prostate cancer still poses a major threat to men’s health. Nanomaterials and nanomaterial-derived theranostic systems have been explored for diagnosis, imaging, and therapy for different types …