Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Asymmetric Sizing of CMOS Circuits for Increased Transient Error Tolerance

Nanometer circuits are highly susceptible to transient errors due to atmospheric charged-particle or alpha-particle strikes. The susceptibility to transient errors is increasing in scaled-technologies as device scaling reduces node capacitances and voltage scaling reduces operating noise margins. This paper presents a novel methodology to increase the transient error tolerance in CMOS circuits by asymmetrically sizing the critical nodes according to their majority state. Majority state of a gate is defined as the output state of a gate which is true for a large number of gate inputs. The delay and power overhead of the proposed methodology is minimal compared to other transient error tolerance techniques. Using SPICE simulation, it is validated on ISCAS’85 benchmark circuits that the proposed methodology results in fewer transient errors propagating to primary outputs of the circuits.
Decentralised wide-area fractional order damping controller for a large-scale power system

This study presents the design of wide-area fractional order damping controller for low frequency inter-area oscillations in Western Electricity Coordinating Council (WECC) system. The developed wide-area damping control scheme is implemented in a decentralised manner by examining the entire system through decentralised identification at the level of each generator bus and FACTS devices in large-scale system. The decentralised identification is done by applying n4sid (Subspace State Space System Identification) algorithm to the time-domain simulated response of WECC system. The main features of the proposed approach are: (a) measurement-based control which does not require complete model of WECC; (b) minimise the communicating signals required for damping controller and incorporate practical method of time-delay compensator (TDC) design to reduce the effect of time-varying delay. The performance of wide-area control (WAC) scheme is tested on the practical WECC system and verified by non-linear time-domain simulation. The proposed decentralised WAC scheme is compared with local and centralised control scheme, which enhances the damping of inter-area oscillation effectively compared to local control scheme and more reliable compared to centralised control scheme and its robustness is verified over a wide-range of operating conditions.
Analyses of Stresses and Force Transmission Route in Box-Shaped Anchorage Zone for Cable-Stayed Bridges

The finite element method was used to investigate stresses in the box-shaped anchorage zone for a cable-stayed bridge in order to give the quantitative description of cable force distribution along principal welding lines,the mechanical characteristics of the main plates and the cause of stress concentration.The research shows that the pad plate of the anchorage box bears about 20% of the total cable force,and its main function is not to bear the cable force but to transmit it to the two webs of the anchorage box.The two welding lines between the two webs and the girder web bear about 80% of the total cable force,and they bear almost equal force.The distribution shape of shear stress on the two welding lines looks like a saddle,and the concentration of stresses on the main plates is caused by in-plane and out-of-plane concentrated forces and bending moments.
A Hierarchical Scheduling Model of Manufacturing Systems on Receding Horizon

A new hierarchical optimal control production and setup scheduling model is discussed in an inflexible manufacturing system with jump Markov disturbances consisting of a single machine. The system can produce several types of products, but each time it can produce only one type of product. A setup (with setup time or cost or both) is required if production is to be switched from one type of product to another. The objective is to minimize the costs of setup, production and inventory. The decision variables are a sequence of setups and the production plan. Based on the idea of hierarchical control policy, a new hierarchical framework and hedging point control policy construct the hierarchical optimal control policy. An algorithm on receding horizon is also addressed.
Functional Anatomy of the Arm for Muscle Forces Estimation

This article presents how we use functional anatomy to develop a simplified model of the arm usable to estimate muscle forces. The model is developed as a motion analysis tool. The first application is the muscle forces estimation of the flexion/extension and pronation/supination of the forearm joints. This estimation is based on an inverse dynamics method, improved with additional constraints such as co-contraction factor between flexors and extensors of a joint. The article first presents the context of the study, and then presents the biomechanical model developed. Then we present the estimation of muscle forces step. Some results obtained for samples movements of the arm are presented and discussed. At last we conclude on the method and the perspectives that it presents.
Sub-goal based path planning method for mobile robot under dynamic environment

In the field of path planning for mobile robot, the wall-following method is a simple but effective strategy for solving the local minimum problem in artificial potential field algorithm. However, the previous wall-following methods are usually designed for static environment. For guaranteeing the validity in dynamic environment while solving the local minimum problem in the artificial potential filed method, in this paper, the wall following method is improved and a sub-goal based approach is proposed. The new method utilizes the repulsive potential in the vicinity of the robot for controlling the distance to wall in a wall-following motion. Guided by the sub-goal, the robot can avoid the dynamic obstacles. Simulation studies have been carried out to verity the proposed method.
Potential EMI analysis of the LED display panel driving current

To control the electromagnetic interference(EMI) generated by the power supply of dimmed light emitting diode(LED) display panels,researches have been finished on the power supply current spectrum of the panel with three pulse width modulation(PWM) dimming approaches.Firstly,we compare the dimming principles of the linear PWM,the discrete PWM,the gated PWM,and their potential electromagnetic interference.And then an assessment method of electromagnetic interference based on current spectrum analysis is designed,and the validity of the method is verified by the simulation of the single brightness and the gradually-changed brightness images.Finally,by the current spectrum analysis of an LED panel displayed with real images,we compare the potential interference of the three dimming approaches.Experiment results demonstrate that large interference will be generated when LEDs are lighted simultaneously with the linear PWM,and it could be effectively reduced by the extension of consumed current and the code compensation effect with the discrete PWM,and the narrower minimum lighting pulse duration is not in favor of interference reduction with the increment of gating levels used in the gated PWM.The achieved analysis results could be applied to reasonably carry out electromagnetic interference analysis and distribution when designing new LED panels,and to forecast the electromagnetic compatibility of the products.
Academic Integrity and Plagiarism Prevention at Tata Institute of Social Sciences, Mumbai: A case Study

Plagiarism is not always a black and white issue. The boundary between plagiarism and research is often unclear. Learning to recognize the various forms of plagiarism, especially the more ambiguous ones, is an important step towards effective prevention. The study overview the concept and types of plagiarism and it`s benefits, Plagiarism Policies in India, and also discussed turnitin and its workflow process of the TISS comparison of the Turnitin and iThenticate plagiarism tools and other relevant areas.
Construction and Validation of Learning Organization Questionnaire

Only a Learning Organization (LO) will be capable of taking on the modern day challenges and to move ahead in this highly dynamic and completive world. An LO is a consciously managed organization having learning as a vital component in its values, visions and goals, and in everyday operations. The objective of the present study is to construct a tool to assess whether an organization is an LO. The tool (Learning Organization Questionnaire) has been developed scientifically based on procedures and practices put forth by experts in the field. Factor analysis yielded 19 items in a three factor model. The tool is also having high levels of reliability and validity. It is expected that the tool will trigger further studies, and enable enrichment of the literature in this area.
Detecting Usability and User Experience Issues in Stroke Caregiving Apps: An Analysis of User Reviews

: (1) Background: Existing research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since several apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the usability and user experience issues to promote long-term adherence and usage; (2) Methods: User reviews were extracted from the 47 previously identiﬁed apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and ﬁltered using python scripts. The ﬁnal corpus was classiﬁed based on usability and user experience dimensions to highlight issues within the app; (3) Results: A total of 162,095 were extracted from the two app stores. After ﬁltration, 15,818 reviews were included and classiﬁed based on the usability and user experience dimensions. Findings highlight critical issues related to the errors/effectiveness, efﬁciency and support that contribute to decreased satisfaction, emotion and frustration in using the app; (4) Conclusion: The study identiﬁed several usability and user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.
Research on the algorithm of consonant feature extraction for speech training aid

In this paper,an algorithm of consonant feature extraction for the speech training aid is proposed.The voiced stops have several effective acoustic features achieved from time domain and frequency domain by speech processing,which can guide hearing impaired to practice articulation.The algorithm analyzes the three voice stops /b/,/d/and /g/with the successive vowel /a/by show-time linear predictive coding(LPC),and then gives the spectrogram from which the first three formants of the whole speech can be tracked.The second and third formant trajectory of the transition cue between voiced stop and vowel give the information about place of articulation which can not only gives advice to inarticulate trainees but also identify the three voiced stop.A group of 10 subjects(6 males and 4 females)was selected to take part in a test of three voiced stops articulation,and a satisfactory result was gained.
Stabilization of DC Link Voltage Using Redundant Vectors for Five-Level Diode Clamped Shunt Active Power Filter

In this paper, the control of DC link capacitor voltages of five-level diode clamped Active Power Filter (APF) using simplified Space Vector Pulse Width Modulation (SVPWM) associated with the redundant vectors of this topology is proposed. The space vector diagram of the five-level inverter is simplified into that of three-level inverter. In turn, the three-level inverter space vector diagram is simplified into that of two-level inverter. Thus, the algorithm of five-level SVPWM becomes very similar to that of conventional two-level inverter SVPWM. Concerning the self stabilization of dc link capacitor voltages, on the base of position of reference voltage vector in space vector diagram, we explain how to choose switching states that will be used to generate the output voltages. The redundancies of some switching states are thoughtfully used to cancel imbalance of dc link capacitor voltages, on the base of a closed loop that use measurements of input and output currents of the APF. The performance of the proposed redundant vector algorithm associated with sliding regulator used to control the shunt APF is illustrated through the compensation of harmonic currents and reactive power produced by a non-linear load in medium voltage network.
Maintenance Optimization of Concrete Bridge Deck Using the Niched Pareto Genetic Algorithm

As the most damageable component of bridge,the concrete bridge deck is most required to maintain.The problem of obtaining the optimal maintenance strategy of concrete bridge deck under limited resources restriction is investigated.A multiobjective optimization model of concrete bridge deck is therefore developed for several objectives which conflict with each other,such as minimizing the total cost but maximizing the performance simultaneously,and the niched Pareto genetic algorithm(NPGA) is introduced to solve the model.The multiobjective optimization of bridge deck maintenance based on NPGA provides bridge managers with a set of feasible solutions for selection in accordance to their own preference,by which not only the disadvantage of single objective optimization without other influencing factors taken into account can be avoided but also some defects can be overcome in conventional solutions to the problem of multiobjective optimization.In this way the maintenance decision will be made more scientific and rational so as to make the maintenance for existing bridges proper.
CS262A Final Report: Privacy Preserving Data Muling

We explore the challenges of implementing a privacy-preserving opportunistic network for Internet of Things (IoT) sensor data collection. Opportunistic networks require no fixed infrastructure and allow edge devices to piggy-back messages through “mule” gateway devices, which can be stationary or mobile. While research interest in such networks has waxed and waned over the years, several large-scale commercial deployments have recently been launched, most notably Amazon’s Sidewalk, fueling renewed interest. As these networks become more prevalent, maintaining the privacy of the individuals who participate in them as mules will become increasingly important. In this project, we demonstrate that current implementations of opportunistic backhaul networks leak access patterns through communication metadata, which network providers can leverage to reconstruct location traces. We further argue that oppor-tunisticnetworkandprivacyarenotmutuallyexclusive,andsuggest somepotentialdirectionstostrengthenthenetworks’privacyprop-erties.Last,webuildandevaluateasystemthatappliestheExpress anonymouscommunicationsystem(USENIXSecurity’21)inadata mulingcontexttohideidentifyingmetadata,andevaluateitsper-formancecomparedtoaplaintextbaselinebackhaulsystem.Given thatopportunisticnetworksarenowseeinglarge-scalecommercial deployments,thisprojectservesasamotivationfordesigningthese systemsfromthegrounduptobeprivacypreserving.
Crowd-centric requirements engineering: A method based on crowdsourcing and gamification

Requirements Engineering (RE) is an essential process in the continuous development of software products. User involvement has a large potential for improving the quality of RE and thereby the quality of software. Shortcomings of current RE methods and threats in the complex environment of Software Product Organizations (SPO) trigger the need for an innovative method. Crowdsourcing and gamification are two emerging trends that provide opportunities to overcome the shortcomings and threats. In this thesis, the Crowd-Centric Requirements Engineering (CCRE) method, which guides SPOs in involving all stakeholders in the RE process, is described. A prototype, Refine, is built to demonstrate the method. Although some obstacles to large-scale adoption exist, the evaluation of this demonstration shows that CCRE can provide a useful process, useful requirements, engaged stakeholders and valuable interaction among those stakeholders. Through these aspects, the method has shown potential to improve requirements engineering in software production.
TEMPERATURE PREDICTION USING TIME SERIES MODELLING

Abstract: Temperature prediction is an attempt to forecast the temperature of a particular region at a particular time. Temperature prediction is very important as it helps to plan various activities. A prime example of its application is in the field of agriculture. Knowing the range of temperature on a particular day can help a farmer prepare for the next day in advance and plan his activities to obtain optimal output. Temperature forecasts are required by utility companies because they help in estimat ing demand [1]. An example would be in helping people decide the clothes they should wear on a particular day and hence predict the upcoming demand. If a person expects a sudden drop in temperature, he/she can dress accordingly. On top of that, it helps in various aerial activities such as planning flights and optimizing air traffic. It can be applied to several other areas of interest including marine and military applications. Hence it becomes an essential part of our daily lives. This paper uses four different Machine Learning algorithms Linear regression, KNN, RandomForest, Neural network to predict temperatures at a particular time. Proposed algorithms are evaluated using standard evaluation metrics. The results of all the algorithms are analysed and the paper also discusses the performance of the proposed algorithm. The goal of this paper is to accurately predict the temperature in a particular region at a particular time, given the temperature history of that region over the past few days.
On applications of ant colony optimisation techniques in solving assembly line balancing problems

Recently, there is an increasing interest in applications of meta-heuristic approaches in solving various engineering problems. Meta-heuristics help both academics and practitioners to get not only feasible but also near optimal solutions where obtaining a solution for the relevant problem is not possible in a reasonable time using traditional optimisation techniques. Ant colony optimisation algorithm is inspired from the collective behaviour of ants and one of the most efficient meta-heuristics in solving combinatorial optimisation problems. One of the main application areas of ant colony optimisation algorithm is assembly line balancing problem. In this paper, we first give the running principle of ant colony optimisation algorithm and then review the applications of ant colony optimisation based algorithms on assembly line balancing problems in the literature. Strengths and weaknesses of proposed algorithms to solve various problem types in the literature have also been discussed in this research. The main aim is to lead new researches in this domain and spread the application areas of ant colony optimisation techniques in various aspects of line balancing problems. Existing researches in the literature indicate that ant colony optimisation methodology has a promising solution performance to solve line balancing problems especially when integrated with other heuristic and/or meta-heuristic methodologies.
Development of high quality time synchronous device based on GPS

A new time synchronous device based on GPS(Global Positioning System)is introduced.Its principle and characteristics are discussed.By using accurate frequency multiplication,OCXO(Oven Con trolled Crystals Oscillator),and real-time error compensation,this time synchronous device has high accuracy and high reliability.It maintains the high accuracy output pulses when GPS is out of work and provides the powerful foundation for the accurate and reliable real-time state monitoring in power system and all high accuracy synchronous sampling systems.
ANALYSING BROWSE PATTERNS TO IMPROVE VIEWER INTEREST ON E-C0MMERCE PORTALS

Web mining is the extraction of interesting and potentially useful patterns and hidden information from web documents and web activities by applying data mining technology. The most important challenge of electronic commerce (E-commerce) is to understand as much as possible the customers’ wants, desires, and buying patterns to ensure competitiveness in the E-commerce era. Nowadays, any information related to consumer behavior has an important value in the highly competitive nature of the E-commerce market. Therefore, web mining can be used to find those obvious data that have potential value to reduce competition and simultaneously increase business profit. In this work, a new approach for creating and recognizing automatically the behavior profile of a computer user is presented. A user profile is not necessarily fixed but rather it evolves/changes, we propose an evolving method to keep up to date the created profiles using an Evolving Systems approach. Here also develop further the recursive formula of the potential of a data point to become a cluster center using SimRank namely, Evolving User Behavior Classification based on Sequence of similar events algorithm. The novel approach proposed in this work can be applicable to any problem of dynamic/evolving user behavior modeling where it can be represented as a sequence of actions or events.
Application of the Ensemble Kalman Filter to a One-Dimensional Linear Advection Model

Data assimilation is used in numerical weather prediction to improve weather forecasts by incorporating observation data into the model forecast. The Ensemble Kalman Filter (EnKF) is a method of data assimilation which updates an ensemble of states to provide a state estimate and associated error at each step. The atmospheric model that is used in this research is a one-dimensional linear advection model. This model describes the motion of a scalar field as it is advected by a known speed field. The result shows that by selecting appropriate initial ensemble, model noise and measurement perturbations, it is possible to achieve a significant improvement in the EnKF results. The accuracy of the EnKF increases when the number of ensemble member grows. That is, the larger ensemble sizes perform better than those of smaller sizes.
Hydraulic slotting technology to prevent coal and gas outburst during heading excavation

The technology of measures to prevent coal and gas outburst was analyzed in serious outburst coal seam under research and experiment with real situation.A new measure,called hydraulic slotting,was described and studied in detail,and the mechanism of hydraulic slotting was put forward and analyzed.The characteristic parameter of hydraulic slotting was given in Jiaozuo mining area and the characteristic of validity,adaptability and security was evaluated.The research results show that,while slotting heading by high pressure large diameter jet,not only the stress surrounding the strata but also the gas in coal seam is released efficiently and thoroughly after the new measure was taken.The resistance to coal and gas outbursts was increased dramatically at once if the area of slot was big enough.The experimentation succeeded in 2 000 m heading excavation,and coal and gas outburst didn't happen.The measure had a potential effect to prevent and control coal and gas outburst during heading excavation,and the heading driving speed was increased more than 2 times.