Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction,
2020
Singapore Management University
Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Research Collection School Of Computing and Information Systems
Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimization problem which tries to minimize passengers’ average waiting time. However, many investigations have confirmed that the user satisfaction drops faster as the waiting time increases. Consequently, this paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services …
Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing,
2020
Singapore Management University
Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Research Collection School Of Computing and Information Systems
Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the "right" requests to travel together in the "right" available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. This challenge has been addressed in existing work by: (i) generating as many relevant feasible (with respect to the available delay for customers) combinations of requests as possible …
A Hybrid Framework Using A Qubo Solver For Permutation-Based Combinatorial Optimization,
2020
Singapore Management University
A Hybrid Framework Using A Qubo Solver For Permutation-Based Combinatorial Optimization, Siong Thye Goh, Sabrish Gopalakrishnan, Jianyuan Bo, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In this paper, we propose a hybrid framework to solve large-scale permutation-based combinatorial problems effectively using a high-performance quadratic unconstrained binary optimization (QUBO) solver. To do so, transformations are required to change a constrained optimization model to an unconstrained model that involves parameter tuning. We propose techniques to overcome the challenges in using a QUBO solver that typically comes with limited numbers of bits. First, to smooth the energy landscape, we reduce the magnitudes of the input without compromising optimality. We propose a machine learning approach to tune the parameters for good performance effectively. To handle possible infeasibility, we introduce …
A Comprehensive And Absolute Corporate Sustainability Assessment And Enhanced Input Output Life Cycle Assessment,
2020
New Jersey Institute of Technology
A Comprehensive And Absolute Corporate Sustainability Assessment And Enhanced Input Output Life Cycle Assessment, Joseph M. Wright
Dissertations
Stresses due to economic activity are threatening to exceed environmental and societal limits with the potential to jeopardize local communities and create global crises. This research proposes new methodologies and analytic techniques to comprehensively assess corporate sustainability and enhance the efficiency of estimating environmental and social impacts with Input Output Life Cycle Assessment (IOLCA).
Sustainability assessments and management require consideration of both social and environmental impacts as outflows of economic activity. There are a number of assessment tools available to gain insight into environmental and social impacts; but in most cases, these approaches lack essential components for a comprehensive and …
A Study Of Security Problems In Big Data And Their Solutions,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 108, Amir Temur st., 100200, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-93-508-31-23
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
Chemical Technology, Control and Management
Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.
Optimal Ratio Of Primary And Secondary Clarifier Characteristics In Wastewater Treatment Plants,
2020
The head of department “Energy Audit”, Bukhara Engineering Technological Institute, Bukhara, Uzbekistan, E-mail: [email protected], Phone: (+99899) 7061166;
Optimal Ratio Of Primary And Secondary Clarifier Characteristics In Wastewater Treatment Plants, Makhsud Idrisovich Makhmudov, Zafarbek Esanovich Kuziev, Siroj Sobirovich Nurov, Sanjar Siroj Ugli Sidikov
Chemical Technology, Control and Management
The issues of optimization of aerobic biological wastewater treatment processes are considered. Optimal ratios of characteristics and sizes of primary and secondary sedimentation tanks, as well as their relationship with the concentration of activated sludge by volume, are revealed. Graphical representations of the dependence of the volumes of primary, secondary and total volumes of structures on the concentration of activated sludge in cleaning processes with low and high loads are obtained. Experimental studies have shown that the concentration of activated sludge in the aeration tank and the silt index directly affect the deposition characteristics of activated sludge, in particular the …
Conceptual Basis For Modeling Multi-Cordinate Mechatronic Robot Modules,
2020
Tashkent State Technical University named after Islam Karimov Address: 2, University str., 100095, Tashkent, Uzbekistan
Conceptual Basis For Modeling Multi-Cordinate Mechatronic Robot Modules, Yusupbekov Azizbek Nodirbekovich, Nazarov Khayriddin Nuritdinovich, Matyokubov Nurbek Rustamovich, Temurbek Omonboyevich Rakhimov
Chemical Technology, Control and Management
The conceptual foundations of modeling multi-coordinate mechatronic modules of robots are considered. The use of a multi-coordinate mechatronic movement module in robots made it possible to obtain at the output of one module several linear and angular coordinates, which reduces the weight and dimensions of the robot and thereby improves its dynamic characteristics. The proposed original concept of the mathematical description of a multi-coordinate mechatronic module, which is focused on displaying their structural and operating features. A structural diagram of a developed industrial robot operating in a Cartesian coordinate system and built on the basis of a multi-coordinate mechatronic module …
Ecg Processing And Analysis Technique Based On Neural Network Learning Vector Quantization,
2020
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone: +998-93-535-17-30;
Ecg Processing And Analysis Technique Based On Neural Network Learning Vector Quantization, Talat Madievich Magrupov, Sherzod Kalandarovich Nеmatov, Yokubjon Talatovich Talatov
Chemical Technology, Control and Management
The main parameters of the electrocardiogram (ECG) were processed on the basis of the neural network apparatus. A decision support algorithm for ECG analysis using a neural network for learning vector quantization is proposed. For the study was chosen such features as the duration of QRS complex, RR interval, amplitude of R-wave and the change in the slope of ST segment and heart rate, which are five inputs to the neural network learning vector quantization. Methods of pre-processing and analysis of extraction of ECG functions based on the ECG database of a medical institution in Matlab are presented. The generalized …
Capacity Transformer Of Coaxial And Cylindrical Form Of Humidity Meter,
2020
Doctor of technical sciences, Professor, Information processing, and control systems department at Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan, E-mail: [email protected];
Capacity Transformer Of Coaxial And Cylindrical Form Of Humidity Meter, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Shohrux Nurali O'G'Li Narzullaev
Chemical Technology, Control and Management
The question of development and calculation of construction of a coaxial and cylindrical form of the capacity transformer of a humidity meter is considered. As basic data, the sizes and the materials ditches allowing to measure the humidity of different volumes of bulks from 5 to 50 gr are selected. As materials of a ditch, plastic are selected, and as tanks, the magnetizing materials are selected. It is briefly cited the advantages and disadvantages of ways to measure humidity and the basic dielectric characteristics of capacitive converters. The electrical replacement scheme of the proposed capacitive converter was provided and the …
Static Characteristics Of Thermal Humidity Converters Of Liquid Materials In Continuous Flow,
2020
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan;
Static Characteristics Of Thermal Humidity Converters Of Liquid Materials In Continuous Flow, N.I. Avezova, P.R. Ismatullaev, Paraxat Matyakubova
Chemical Technology, Control and Management
Thermal systems with distributed heat sources based on a pipeline segment with radial holes are proposed for the development of designs of thermal humidity converters for liquid materials. Across the liquid flow there are tubular arguments with cylindrical heat-sensitive elements, on the surface of which the heating element winding was wound, which significantly increased their sensitivity, speed, reliability and allowed the use of standard semiconductor heat-sensitive elements.
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 108, Amir Temur st., 100200, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-94-343-54-91
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters, Akmal Abdumalikov
Chemical Technology, Control and Management
The issues of continuity, accuracy, speed and reliability of signal conversion, which are the main problems of quality control and management of production processes, remain relevant. Research shows that in practice there are different signal variables, the study of which is highly formalized in a number of modeling tasks and basic classification studies, in particular transients in converters, its sources and elements requires a unified mathematical approach, that is, visual, highly formalized modeling and research based on it. The paper presents a graph model of multifunctional signal converters that provide microprocessor and electronic devices with signals in the form of …
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition,
2020
Tashkent State Technical University Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan E-mail: [email protected]
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov
Chemical Technology, Control and Management
The questions of formation and construction of algorithms for identification of elements of the transition matrix of controlled objects in conditions of parametric uncertainty are considered. To identify elements of the transition matrix, we suggest using a custom model based on the type of Kalman filtration equations. Algorithms for stable calculation of a pseudo-inverse matrix using matrix decomposition are analyzed. Regular algorithms for solving argumentative problems of minimization of the identification quality criterion are given. These algorithms allow us to regularize the problem of adaptive identification of the transition matrix of an object based on regular methods for minimizing functionals …
Structural – Parametric Analysis And Synthesis Of Glass Furnace Condition Observer,
2020
Tashkent State Technical University Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-94-408-09-02;
Structural – Parametric Analysis And Synthesis Of Glass Furnace Condition Observer, Utkir Uktam O‘G‘Li Kholmanov
Chemical Technology, Control and Management
A modified Kalman filter of the glass cooking process is synthesized, taking into account perturbations in the form of a sequence of colored noises. The possibility of expanding this filter by noise filters to improve functioning in the presence of low-frequency disturbances is studied and a corresponding estimation scheme with additional noise filters is proposed. The results of the simulation allow us to assume that low-frequency disturbances in the glass furnace act at the input and affect the state of the control object.
Reliable Risk Assessment Method For Effective Organization Of Information Security At Enterprise,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 118, Amir Temur st., 100095, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-97-751-16-97
Reliable Risk Assessment Method For Effective Organization Of Information Security At Enterprise, Fayzullajon Bakhtiyorovich Botirov
Chemical Technology, Control and Management
The problems of the new industry 4.0 automation paradigm are considered and the latest technologies in the field of information and communication technologies that stimulate it are analyzed, including cyber-physical systems, cloud computing, the Internet of things and big data. Some methods of multidimensional, multi-faceted industrial representation and analysis of big data are proposed. The basics of big data processing using granular computing methods have been developed. Marked the emergence of the problem of creation of special cognitive tool for constructing artificial agents, understanding integrated intelligence enterprises. In the process of information protection at the enterprise, it is proposed to …
Analysis Of Information Security System Standards And Key Aspects Of Security Control,
2020
Tashkent University of Information Technology named after Muhammad al-Khwarizmi Address: 108, Amir Temur street, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-99-835-67-30
Analysis Of Information Security System Standards And Key Aspects Of Security Control, Abduhalil Abdujalilovich Ganiyev
Chemical Technology, Control and Management
The standards of the information security management system (IMS) are considered and the main aspects of information security management are studied, in particular the international standard ISO/IEC 27001, the Process approach to the management of IS, the stages of development of the information security management system. The measures taken for the organization of information security management systems are defined. Organizational measures include the implementation of information security management systems in the organization.
Detection Method For “Denial Of Service” Attacks On Web Applications,
2020
State Unitary Enterprise "Centre of cyber security” Address: 10A, Kirk-Kiz street, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-97-701-05-43;
Detection Method For “Denial Of Service” Attacks On Web Applications, Azizbek Ravshonbek Ugli Ibrohimov
Chemical Technology, Control and Management
A method for detecting denial-of-service attacks on web applications based on the use of a multi-layer perceptron is considered. The main issues related to the use of the neural network are described: the process of collecting and preparing statistical data, the features of forming indicators that characterize the state of the web application, as well as the issues of training and evaluating the quality of the neural network.
Paralleling Simulation Of Operation Plan Based On Decision Point Controlling,
2020
IO and Command Training Dept., National Defense University, Beijing 100091, China;
Paralleling Simulation Of Operation Plan Based On Decision Point Controlling, Zhanguang Cao, Pinggang Yu, Kuo Wang
Journal of System Simulation
Abstract: Operation plan simulation traditionally uses serial and static method. It can't be fulfilled for the military need of swift simulation and real-time decision in the modern complicated and dynamically battle field. So, the higher complexity and dynamical decision according to situation of the operation plan bring new challenge to the simulation. Operation Plan Paralleling Simulation Based on Decision Point Controlling (P2SDPC) can realize the operation plan's dynamic adjusting and cutting impossible branch based on decision point controlling technology. From then on, the efficiency of operation plan's simulation could be improved by the way of paralleling simulation. Thus the problem …
Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven,
2020
1. Lab of Virtual Reality, South China Agricultural University, Guangzhou 510642, China;;2. Mechanical Engineering College, Tianjin University of Technology and Education, Tianjin 300222, China;
Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven, Lufeng Luo, Xiangjun Zou, Zhang Cong, Xie Lei
Journal of System Simulation
Abstract: The real-time control of virtual character behavior is a challenge in simulating virtual exercise. A kind of virtual character running behavior control method based on real-time data-driven was proposed, the real-time data acquisition with the help of sensor was expounded, the time-series law of human body running was analyzed, the human body posture mathematics expression was modeled, and a limb movement parts and rotation degrees of freedom computing model was proposed. By use of rotation angle method, the space and time relationship of each part of human movement chains was established and the movement process frame when moving was …
Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary,
2020
1. School of Film and TV Arts and Technology, Shanghai University, Shanghai 200072, China;;
Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary, Jingjing Sun, Jiajun Yu, Li Bei, Zhifeng Xie, Youdong Ding
Journal of System Simulation
Abstract: An efficient method of auto-generating portrait cartoon based on true portrait pictures was proposed. The first step was to establish a set of portrait dictionary. As a result, the portrait was divided into six components including eyebrows, eyes, nose, mouth, face, hair, so that the material library of cartoon corresponding to each component could be established. The next was to collect some real portrait images and synthesize them using the component material, meanwhile to calculate the facial shape features and the texture features of hair corresponding to each portrait. The second step was to input a real portrait image …
Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill,
2020
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;
Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill, Bai Yan, He Fang
Journal of System Simulation
Abstract: A dynamic mathematical model of coal pulverizing system was analyzed. Simulation experiments on mill operation process were conducted by PFC3D software platform based on discrete element method. The associated data between different coal quality, coal storage and balls' motion were obtained under certain quantitative optimized operating parameters configuration. Neural network model of information fusion for coal storage and kinetic energy of ball mill was established by using an adaptive combination learning algorithm. Coal storage in mill cylinder was predicted from the energy point of view. The results indicate that there is a close relationship between coal storage, pulverizing efficiency …
