Latest in cs.oh

total 1735took 0.12s
Real-time stock analysis for blending recipes in industrial plantsAug 29 2019Many companies use Excel spreadsheets to keep stock records and to calculate process-specific data. These spreadsheets are often hard to understand and track. And if the user does not protect them, there is a risk that the user randomly changes or erase ... More
Modelagem de um Problema de Dimensionamento de Lotes com Demanda Variavel e Deterministica e Efeitos de Learning e ForgettingAug 20 2019The main goal of this paper was to analyze the importance that the effects of learning and forgetting might have in a lot-sizing problem. It assumes that the learning curve and the economies of scale are present in several industries yet are, in most ... More
How Downwards Causation Occurs in Digital ComputersAug 15 2019Digital computers carry out algorithms coded in high level programs. These abstract entities determine what happens at the physical level: they control whether electrons flow through specific transistors at specific times or not, entailing downward causation ... More
Received Signal Strength Based Wireless Source Localization with Inexact Anchor PositionAug 09 2019Received signal strength(RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact ... More
Received Signal Strength Based Wireless Source Localization with Inexact Anchor PositionAug 09 2019Aug 12 2019Received signal strength(RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact ... More
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous DrivingAug 05 2019Traffic congestion has become one of the most critical issues worldwide. The costs due to traffic gridlock and jams are approximately $160 billion in the United States, more than {\pounds}13 billion in the United Kingdom, and over one trillion dollars ... More
An adaptive architecture for portability of greenhouse modelsJul 29 2019This work deals with the portability of greenhouse models, as we believe that this is a challenge to their practical usage in control strategies under production conditions. We address this task by means of adaptive neural networks, which re-adjust their ... More
An adaptive architecture for portability of greenhouse modelsJul 29 2019Aug 12 2019This work deals with the portability of greenhouse models, as we believe that this is a challenge to their practical usage in control strategies under production conditions. We address this task by means of adaptive neural networks, which re-adjust their ... More
Prototype Software Monitoring Sarana dan Prasarana Perguruan TinggiJul 25 2019This study aims to facilitate the management system of monitoring infrastructure program of university facilities and infrastructure, through software engineering technology approach as an effort to improve productivity and quality of monitoring process ... More
DNA based Network Model and BlockchainJul 20 2019Biological cells can transmit, process and receive chemically encoded data in the same way as network devices transmit, process, and receive digitally encoded data. Communication protocols have led to the rapid development of computer networks. Therefore, ... More
Inferring Accurate Bus Trajectories from Noisy Estimated Arrival Time RecordsJul 19 2019Urban commuting data has long been a vital source of understanding population mobility behaviour and has been widely adopted for various applications such as transport infrastructure planning and urban anomaly detection. While individual-specific transaction ... More
TPM: A GPS-based Trajectory Pattern Mining SystemJul 05 2019With the development of big data and artificial intelligence, the technology of urban computing becomes more mature and widely used. In urban computing, using GPS-based trajectory data to discover urban dense areas, extract similar urban trajectories, ... More
Modeling and analysis of alternative distribution and Physical Internet schemes in urban areaJul 04 2019Urban logistics is becoming more complicated and costlier due to new challenges in recent years. Since the main problem lies on congestion, the clean vehicle is not necessarily the most effective solution. There is thus a need to redesign the logistics ... More
Autonomous CPS mobility securely designedJul 02 2019In the last years the interconnection and ongoing development of physical systems combined with cyber resources has led to increasing automation. Through this progress in technology, autonomous vehicles, especially autonomous trains are getting more attention ... More
A Theoretical Model For Artificial Learning, Memory Management And Decision Making SystemJul 02 2019Human beings are considered as the most intelligent species on Earth. The ability to think, to create, to innovate, are the key elements which make humans superior over other existing species on Earth. Machines lack all those elements, although machines ... More
SysMART Outdoor Services: A System of Connected and Smart SupermarketsJul 01 2019Smart cities are today's modern trend. Many high-tech industrial firms are exploring different approaches to implement smart cities. Various projects aim at internet-of-things and smart solutions. Current implementations are mostly localized to a specific ... More
Fashion Retail: Forecasting Demand for New ItemsJun 27 2019Fashion merchandising is one of the most complicated problems in forecasting, given the transient nature of trends in colours, prints, cuts, patterns, and materials in fashion, the economies of scale achievable only in bulk production, as well as geographical ... More
Wise Data: A Novel Approach in Data Science from a Network Science PerspectiveJun 26 2019Human beings have been generating data since very long times ago. We ask the following common-sense and wise questions (WizQuestions): 1. Why do we refer to some pieces of data more often than referring to other pieces? 2. What does make those commonly-referred ... More
Wise Data: A Novel Approach in Data Science from a Network Science PerspectiveJun 26 2019Jul 28 2019Human beings have been generating data since very long times ago. We ask the following common-sense and wise questions (WizQuestions): 1. Why do we refer to some pieces of data more often than referring to other pieces? 2. What does make those commonly-referred ... More
EU H2020 Gauss project. Geo-Fencing Software SystemJun 25 2019The Geofencing system is the key to operate the Unmanned Aerial Vehicle (UAV) within the safe and appropriate zone to avoid public concerns and other privacy issues. The system is designed to keep the UAV away from geofenced obstacles using the onboard ... More
Inverse reinforcement learning conditioned on brain scanJun 24 2019We outline a way for an agent to learn the dispositions of a particular individual through inverse reinforcement learning where the state space at time t includes an fMRI scan of the individual, to represent his brain state at that time. The fundamental ... More
Characterizing IoT Data and its Quality for UseJun 23 2019The Internet of Things (IoT) is a cyber physical social system that encompasses science, enterprise and societal domains. Data is the most important commodity in IoT, enabling the "smarts" through analytics and decision making. IoT environments can generate ... More
Emergency Management Systems and Algorithms: a Comprehensive SurveyJun 21 2019Owing to the increasing frequency and destruction of natural and manmade disasters to modern highly-populated societies, emergency management, which provides solutions to prevent or address disasters, have drawn considerable research over the last few ... More
Algorithmic measurement proceduresJun 18 2019Measurements are shown to be processes designed to return figures: they are effective. This effectivity allows for a formalization as Turing machines, which can be described employing computation theory. Inspired in the halting problem we draw some limitations ... More
Assessment of Urban Ecological Service value used in Urban Rail Transit ProjectJun 15 2019Ecosystem services refer to the ones human beings often obtain from the natural environment ecosystem. In order to solve the problem of environmental degradation, based on the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST model), this ... More
FPScreen: A Rapid Similarity Search Tool for Massive Molecular Library Based on Molecular Fingerprint ComparisonJun 13 2019We designed a fast similarity search engine for large molecular libraries: FPScreen. We downloaded 100 million molecules' structure files in PubChem with SDF extension, then applied a computational chemistry tool RDKit to convert each structure file into ... More
Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet LayoutJun 04 2019Determining the optimal location of control cabinet components requires the exploration of a large configuration space. For real-world control cabinets it is impractical to evaluate all possible cabinet configurations. Therefore, we need to apply methods ... More
Using AI for Economic Upliftment of Handicraft IndustryMay 31 2019The handicraft industry is a strong pillar of Indian economy which provides large-scale employment opportunities to artisans in rural and underprivileged communities. However, in this era of globalization, diverse modern designs have rendered traditional ... More
Definitively Identifying an Inherent Limitation to Actual CognitionMay 29 2019May 31 2019A century ago, discoveries of a serious kind of logical error made separately by several leading mathematicians led to acceptance of a sharply enhanced standard for rigor within what ultimately became the foundation for Computer Science. By 1931, Godel ... More
Earthquake Prediction With Artificial Neural Network Method: The Application Of West Anatolian Fault In TurkeyMay 26 2019A method that exactly knows the earthquakes beforehand and can generalize them cannot still been developed. However, earthquakes are tried to be predicted through numerous methods. One of these methods, artificial neural networks give appropriate outputs ... More
Deep Fuzzy SystemsMay 23 2019An investigation of deep fuzzy systems is presented in this paper. A deep fuzzy system is represented by recursive fuzzy systems from an input terminal to output terminal. Recursive fuzzy systems are sequences of fuzzy grade memberships obtained using ... More
Digital Availability of Product Information for Collaborative Engineering of SpacecraftMay 22 2019In this paper, we introduce a system to collect product information from manufacturers and make it available in tools that are used for concurrent design of spacecraft. The planning of a spacecraft needs experts from different disciplines, like propulsion, ... More
Quartierstrom -- Implementation of a real world prosumer centric local energy market in Walenstadt, SwitzerlandMay 17 2019Jul 29 2019Prosumers in many regions are facing reduced feed-in tariffs and currently have no possibility to influence the level of remuneration for the locally produced solar energy. Peer-to-peer communities may offer an alternative to the feed-in tariff model ... More
Quartierstrom - Implementation of a real world prosumer centric local energy market in Walenstadt, SwitzerlandMay 17 2019Prosumers in many regions are facing reduced feed-in tariffs and currently have no possibility to influence the level of remuneration for the locally produced solar energy. Peer-to-peer communities may offer an alternative to the feed-in tariff model ... More
Simulation Typology and Termination RisksMay 12 2019The goal of the article is to explore what is the most probable type of simulation in which humanity lives (if any) and how this affects simulation termination risks. We firstly explore the question of what kind of simulation in which humanity is most ... More
Quantifying ComplexityMay 11 2019In spite of all the interest and importance of complexity, this concept remains elusive. In particular, several attempts at defining and/or quantifying complexity have, at some point, run into intrinsic difficulties. This didactic text provides a brief ... More
Analytical review of medical mobile diagnostic systemsMay 03 2019This article analyzes the mobile medical diagnostic systems and compare them with the proposed HealthTracker system based on smartwatch Apple Watch. Before the development of the system HealthTracker, there was conducted a review and analysis of existing ... More
Logic DesignMay 03 2019Electronic circuits can be separated into two groups, digital and analog circuits. Analog circuits operate on analog quantities that are continuous in value, whereas digital circuits operate on digital quantities that are discrete in value and limited ... More
High-level SynthesisMay 03 2019Hardware synthesis is a general term used to refer to the processes involved in automatically generating a hardware design from its specification. High-level synthesis (HLS) could be defined as the translation from a behavioral description of the intended ... More
Programmable Logic ArraysMay 03 2019Programmable logic arrays (PLAs) are traditional digital electronic devices. A PLA is a simple programmable logic device (SPLD) used to implement combinational logic circuits. A PLA has a set of programmable AND gates, which link to a set of programmable ... More
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI BehaviourApr 30 2019Jun 11 2019Artificial Intelligence (AI) applications are being used to predict and assess behaviour in multiple domains, such as criminal justice and consumer finance, which directly affect human well-being. However, if AI is to improve people's lives, then people ... More
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI BehaviourApr 30 2019Artificial Intelligence (AI) applications are being used to predict and assess behaviour in multiple domains, such as criminal justice and consumer finance, which directly affect human well-being. However, if AI is to improve people's lives, then people ... More
Inquiry of P-reduction in Cook's 1971 Paper -- from Oracle machine to Turing machineApr 30 2019In this paper, we inquire the key concept P-reduction in Cook's theorem and reveal that there exists the fallacy of definition in P-reduction caused by the disguised displacement of NDTM from Oracle machine to Turing machine. The definition or derivation ... More
PowerNet: Neural Power Demand Forecasting in Smart GridApr 27 2019Power demand forecasting is a critical task for achieving efficiency and reliability in power grid operation. Accurate forecasting allows grid operators to better maintain the balance of supply and demand as well as to optimize operational cost for generation ... More
A Method for Expressing and Displaying the Vehicle Behavior Distribution in Maintenance Work ZonesApr 25 2019Maintenance work zones on the road network have impacts on the normal travelling of vehicles, which increase the risk of traffic accidents. The traffic characteristic analysis in maintenance work zones is a basis for maintenance work zone related research ... More
Appliance Event Detection -- A Multivariate, Supervised Classification ApproachApr 24 2019Non-intrusive load monitoring (NILM) is a modern and still expanding technique, helping to understand fundamental energy consumption patterns and appliance characteristics. Appliance event detection is an elementary step in the NILM pipeline. Unfortunately, ... More
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling FrameworkApr 23 2019In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an alternative of compact model of new devices without prior knowledge of device ... More
Clifford algebras, Spin groups and qubit treesApr 22 2019Representations of Spin groups and Clifford algebras derived from structure of qubit trees are introduced in this work. For ternary trees the construction is more general and reduction to binary trees is formally defined by deleting of superfluous branches. ... More
Clifford algebras, Spin groups and qubit treesApr 22 2019May 14 2019Representations of Spin groups and Clifford algebras derived from structure of qubit trees are introduced in this work. For ternary trees the construction is more general and reduction to binary trees is formally defined by deleting of superfluous branches. ... More
Galaxy Learning -- A Position PaperApr 22 2019The recent rapid development of artificial intelligence (AI, mainly driven by machine learning research, especially deep learning) has achieved phenomenal success in various applications. However, to further apply AI technologies in real-world context, ... More
Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous DronesApr 22 2019In this paper we present an algorithm-hardware codesign for camera-based autonomous flight in small drones. We show that the large write-latency and write-energy for nonvolatile memory (NVM) based embedded systems makes them unsuitable for real-time reinforcement ... More
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building EnvironmentsApr 16 2019In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the ... More
Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in BioinformaticsApr 16 2019In contemporary age, Computational Intelligence (CI) performs an essential role in the interpretation of big biological data considering that it could provide all of the molecular biology and DNA sequencing computations. For this purpose, many researchers ... More
The Rise of Internet of Things (IoT) in Big Healthcare Data: Review and Open research IssuesApr 16 2019Health is one of the sustainable development areas in all of the countries. Internet of Things has a variety of use in this sector which was not studied yet. The aim of this research is to prioritize IoT usage in the healthcare sector to achieve sustainable ... More
Smart Laptop Bag with Machine Learning for Activity RecognitionApr 14 2019In todays world of smart living, the smart laptop bag, presented in this paper, provides a better solution to keep track of our precious possessions and monitoring them in real time. As the world moves towards a much tech-savvy direction, the novel laptop ... More
Combining Conformance Checking and Classification of XES Log Data for the Manufacturing DomainApr 11 2019Currently, data collection on the shop floor is based on individual resources such as machines, robots, and Autonomous Guided Vehicles (AGVs). There is a gap between this approach and manufacturing orchestration software that supervises the process of ... More
Charging control of electric vehicles using contextual bandits considering the electrical distribution gridApr 10 2019With the proliferation of electric vehicles, the electrical distribution grids are more prone to overloads. In this paper, we study an intelligent pricing and power control mechanism based on contextual bandits to provide incentives for distributing charging ... More
Image-based reconstruction for strong-nonlinear transient problems by using an enhanced ReConNNApr 08 2019May 10 2019With the improvement of pattern recognition and feature extraction of Deep Neural Networks (DNNs), more and more problems are attempted to solve from the view of images. Recently, a Reconstructive Neural Network (ReConNN) was proposed to obtain an image-based ... More
Image-based reconstruction for the impact problems by using DPNNsApr 08 2019Jun 03 2019With the improvement of the pattern recognition and feature extraction of Deep Neural Networks (DPNNs), image-based design and optimization have been widely used in multidisciplinary researches. Recently, a Reconstructive Neural Network (ReConNN) has ... More
Algorithms Clearly Beat Gamers at Quantum Moves. A VerificationApr 01 2019Apr 12 2019The paper [S{\o}rensen et al., Nature 532] presents and discusses results for a Quantum Moves game, BringHomeWater, where players have attempted to move a quantum state from one position to another in a simulated optical tweezer and atoms setup. The paper ... More
Algorithms Clearly Beat Gamers at Quantum Moves. A VerificationApr 01 2019May 15 2019The paper [S{\o}rensen et al., Nature 532] presents and discusses results for a Quantum Moves game, BringHomeWater, where players have attempted to move a quantum state from one position to another in a simulated optical tweezer and atoms setup. The paper ... More
Algorithms Clearly Beat Gamers at Quantum Moves. A VerificationApr 01 2019The paper [sorensen16] presents and discusses results for a Quantum Moves game, BringHomeWater, where players have attempted to move a quantum state from one position to another in a simulated optical tweezer and atoms setup. The paper compares the player ... More
A Blockchain-based Educational Record RepositoryMar 31 2019The Blockchain technology was initially adopted to implement various cryptocurrencies. Currently, Blockchain is foreseen as a general purpose technology with a huge potential in many areas. Blockchain-based applications have inherent characteristics like ... More
MoA Interpretation of the Iterative Conjugate Gradient Method with Psi Reduction - A Tutorial to teach the Mathematically literate in Linear and Tensor Algebra: Part IMar 24 2019It is often difficult to learn new mathematics semantically and syntactically, even when there are similarities in the words and meaning when discussed aloud. The goal of this document is to facilitate learning through explanations and definitions relating ... More
Anti-Turing MachineMar 22 2019The invention of CPU-centric computing paradigm was incredible breakthrough of computer science that revolutionized our everyday life dramatically. However, the CPU- centric paradigm is based on the Turing machine concept and, as a result, expensive and ... More
Substation One-Line Diagram Automatic Generation and VisualizationMar 20 2019In Energy Management System (EMS) applications and many other off-line planning and study tools, one-line diagram (OLND) of the whole system and stations is a straightforward view for planners and operators to design, monitor, analyze, and control the ... More
Numerical Algorithmic Science and Engineering within Computer Science: Rationale, Foundations and OrganizationMar 20 2019A re-calibration is proposed for "numerical analysis" as it arises specifically within the broader, embracing field of modern computer science (CS). This would facilitate research into theoretical and practicable models of real-number computation at the ... More
Power and Thermal Analysis of Commercial Mobile Platforms: Experiments and Case StudiesMar 19 2019State-of-the-art mobile processors can deliver fast response time and high throughput to maximize the user experience. However, high performance comes at the expense of larger power density, which leads to higher skin temperatures. Since this can degrade ... More
Simulation-Based Analytics for Fabrication Quality-Associated Decision SupportMar 18 2019Automated, data-driven quality management systems, which facilitate the transformation of data into useable information, are desired to enhance decision-making processes. Integration of accurate, reliable, and straightforward approaches that measure uncertainty ... More
On the Spectrum of Finite Rooted Homogeneous TreesMar 17 2019In this paper we study the spectrum of families of finite rooted trees with regular branching properties. In particular, we show that in the case of constant branching the eigenvalues are realized as the roots of a family of generalized Fibonacci polynomials ... More
Hyperspectral Calibration of Art: Acquisition and Calibration WorkflowsMar 11 2019Hyperspectral imaging has become an increasingly used tool in the analysis of works of art. However, the quality of the acquired data and the processing of that data to produce accurate and reproducible spectral image cubes can be a challenge to many ... More
Pragmatic inference and visual abstraction enable contextual flexibility during visual communicationMar 11 2019Visual modes of communication are ubiquitous in modern life. Here we investigate drawing, the most basic form of visual communication. Communicative drawing poses a core challenge for theories of how vision and social cognition interact, requiring a detailed ... More
Pragmatic inference and visual abstraction enable contextual flexibility during visual communicationMar 11 2019Mar 28 2019Visual modes of communication are ubiquitous in modern life --- from maps to data plots to political cartoons. Here we investigate drawing, the most basic form of visual communication. Participants were paired in an online environment to play a drawing-based ... More
Grounds for trust: Essential Epistemic Opacity and Computational ReliabilismMar 09 2019Several philosophical issues in connection with computer simulations rely on the assumption that results of simulations are trustworthy. Examples of these include the debate on the experimental role of computer simulations \cite{Parker2009, Morrison2009}, ... More
Computer simulations in science and engineering - Concepts - Practices - PerspectivesMar 09 2019The ubiquitous presence of computer simulations in all kinds of research areas evidence their role as the new driving force for the advancement of science and engineering research. Nothing seems to escape the image of success that computer simulations ... More
Varying the explanatory span: scientific explanation for computer simulationsMar 09 2019This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? and what kind of epistemic gain should be expected? For ... More
Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing imagesMar 08 2019During the rapid urbanization construction of China, acquisition of urban geographic information and timely data updating are important and fundamental tasks for the refined management of cities. With the development of domestic remote sensing technology, ... More
Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT TechnologiesMar 08 2019This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating ... More
TinBiNN: Tiny Binarized Neural Network Overlay in about 5,000 4-LUTs and 5mWMar 05 2019Reduced-precision arithmetic improves the size, cost, power and performance of neural networks in digital logic. In convolutional neural networks, the use of 1b weights can achieve state-of-the-art error rates while eliminating multiplication, reducing ... More
Trial of an AI: Empowering people to explore law and science challengesMar 05 2019Artificial Intelligence represents many things: a new market to conquer or a quality label for tech companies, a threat for traditional industries, a menace for democracy, or a blessing for our busy everyday life. The press abounds in examples illustrating ... More
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between ClustersMar 04 2019Increased deployment of residential smart meters has made it possible to record energy consumption data on short intervals. These data, if used efficiently, carry valuable information for managing power demand and increasing energy consumption efficiency. ... More
Monitorology the art of observing the worldFeb 22 2019In the age of ever increasing demand for big data and data analytics, a question of collecting the data becomes fundamental. What and how to collect the data is essential as it has direct impact on decision making, system operation and control. Specifically, ... More
Was ist eine Professur fuer Kuenstliche Intelligenz?Feb 17 2019The Federal Government of Germany aims to boost the research in the field of Artificial Intelligence (AI). For instance, 100 new professorships are said to be established. However, the white paper of the government does not answer what an AI professorship ... More
On Double-Sided QR-CodesFeb 15 2019Due to the widespread adoption of the smart mobile devices, QR codes have become one of the most-known types of 2D codes around the world. However, the data capacity properties of modern QR codes are still not perfect. To address this issue, in this paper, ... More
Detecting Multiple Communities Using Quantum Annealing on the D-Wave SystemJan 28 2019A very important problem in combinatorial optimization is partitioning a network into communities of densely connected nodes; where the connectivity between nodes inside a particular community is large compared to the connectivity between nodes belonging ... More
Teleporting digital imagesJan 23 2019Apr 18 2019During the last 25 years the scientific community has coexisted with the most fascinating protocol due to Quantum Physics: quantum teleportation (QTele), which would have been impossible if quantum entanglement, so questioned by Einstein, did not exist. ... More
Teleporting digital imagesJan 23 2019Jul 18 2019During the last 25 years the scientific community has coexisted with the most fascinating protocol due to Quantum Physics: quantum teleportation (QTele), which would have been impossible if quantum entanglement, so questioned by Einstein, did not exist. ... More
Teleporting digital imagesJan 23 2019Aug 18 2019During the last 25 years the scientific community has coexisted with the most fascinating protocol due to Quantum Physics: quantum teleportation (QTele), which would have been impossible if quantum entanglement, so questioned by Einstein, did not exist. ... More
Information Operations Recognition: from Nonlinear Analysis to Decision-makingJan 22 2019Feb 07 2019The book is dedicated to the issues of information operations recognition based on analysis of information space, particularly, web-resources, social networks, and blogs. In this context, open source intelligence technology (OSINT) solves the problem ... More
Trustworthy Experimentation Under Telemetry LossJan 22 2019Failure to accurately measure the outcomes of an experiment can lead to bias and incorrect conclusions. Online controlled experiments (aka AB tests) are increasingly being used to make decisions to improve websites as well as mobile and desktop applications. ... More
Realize special instructions on clustering VLIW DSP: multiplication-accumulation instructionJan 16 2019BWDSP is a 32bit static scalar digital signal processor with VLIW and SIMD features, which is designed for high-performance computing. Associated special instructions are designed for its special architecture and application scenarios. However, the existing ... More
Putting Natural Time into ScienceJan 11 2019This contribution argues that the notion of time used in the scientific modeling of reality deprives time of its real nature. Difficulties from logic paradoxes to mathematical incompleteness and numerical uncertainty ensue. How can the emergence of novelty ... More
Real-time Structural Health Monitoring System Using Internet of Things and Cloud ComputingJan 03 2019Real-time monitoring of various structural behaviors, particularly displacement and acceleration, serves important and valuable information for people; for example, they can be used for active control or damage warning. With recent advancement of the ... More
Open Source Software Opportunities and RisksDec 31 2018Open Source Software (OSS) history is traced to initial efforts in 1971 at Massachusetts Institute of Technology (MIT) Artificial Intelligence (AI) Lab, the initial goals of OSS around Free vs. Freedom, and its evolution and impact on commercial and custom ... More
Towards Modernising Data Collection and Archive for the Tor NetworkDec 20 2018CollecTor is developed by Tor Project's Metrics Team for the purpose of archiving data relating to the public Tor network and applications developed by Tor Project. This report distills the requirements for a prototype modernized replacement of the CollecTor ... More
Schrödinger's ManDec 14 2018What if someone built a "box" that applies quantum superposition not just to quantum bits in the microscopic but also to macroscopic everyday "objects", such as Schr\"odinger's cat or a human being? If that were possible, and if the different "copies" ... More
A Graphical Simulator for Teaching Operating SystemsDec 12 2018We present a graphical simulation tool for visually and interactively exploring the processing of a variety of events handled by an operating system when running a program. Our graphical simulator is available for use on the web by both instructors and ... More
An intelligent household greenhouse system design based on Internet of ThingsDec 12 2018In order to combine indoor greenery conservation with Internet of Things (IOT) Technologies, this paper designs an intelligent household greenhouse project with the features of comprehensive sensing, reliable transmission and intelligent processing. Through ... More
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly NetworksDec 06 2018This project aims to shed light on how man-made carbon emissions are affecting global wind patterns by looking for temporal and geographical correlations between carbon emissions, surface temperatures anomalies, and wind speed anomalies at high altitude. ... More
Solving High Volume Capacitated Vehicle Routing Problem with Time Windows using Recursive-DBSCAN clustering algorithmDec 05 2018Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) is a problem often encountered in the logistics industry, where, on a daily basis, vehicles are required to pick up parcels from depots and deliver them to clients. This paper introduces an ... More