Driver identification is an emerging area of interest in vehicle telematics, automobile control, and insurance. Recent body works indicates that it may be possible to uniquely identify a driver using multiple dedicated sensors. In this paper, we present approach for smartphone GPS data alone. For our experiments, collected from 38 drivers two months. We quantified the driver’s natural style by extracting set 137 statistical features generated each completed trip. The analysis shows that,...

The availability of large-scale online social data, coupled with computational methods can help us answer fundamental questions relat- ing to our lives, particularly health and well-being. #MeToo trend has led people talking about personal experiences harassment more openly. This work at- tempts aggregate such sex- ual abuse facilitate a better understanding media constructs bring change. It been found that disclo- sure positive psychological im- pacts. Hence, we contend informa- tion...

Large Language Models (LLMs) have become a cornerstone in the field of Natural Processing (NLP), offering transformative capabilities understanding and generating human-like text. However, with their rising prominence, security vulnerability aspects these models garnered significant attention. This paper presents comprehensive survey various forms attacks targeting LLMs, discussing nature mechanisms attacks, potential impacts, current defense strategies. We delve into topics such as...

Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Student Research Workshop. 2019.

Assessment of driving behavior and estimation risk therein is an important use case for telematics vehicular networking technology domain, which has gained interest in the fleet management consumer verticals, but above all with car insurance firms. These firms have started incorporating results such analysis to provide their customers "pay as you drive" plans, decide initial premium based on driver's past history crashes violations. Then parties enter into evaluation period about two months...

The rapid widespread of social media has lead to some undesirable consequences like the increase hateful content and offensive language. Religious Hate Speech, in particular, often leads unrest sometimes aggravates violence against people on basis their religious affiliations. richness Arabic morphology limited available resources makes this task especially challenging. current state-of-the-art approaches detect hate speech rely entirely textual (lexical semantic) cues. Our proposed...

Models with a large number of parameters are prone to over-fitting and often fail capture the underlying input distribution. We introduce Emix, data augmentation method that uses interpolations word embeddings hidden layer representations construct virtual examples. show Emix shows significant improvements over previously used interpolation based regularizers techniques. also demonstrate how our proposed is more robust sparsification. highlight merits methodology by performing thorough...

The Global Positioning System (GPS) receivers are now an integral part of smartphones. However, phone based GPS measurements display much less accuracy as compared to professional grade receivers. On the other hand, deep penetration smartphones in consumer market offers opportunity for customizing new solutions. One such possible application is targeted towards identifying risky driving profile purpose auto-insurance premium. For this be successful, one needs estimate true vehicle speed. In...

This article presents a geometrical region-based shape control methodology for navigating cohesive swarm-robotic structure toward the goal even in field occluded by unknown obstacles. In this approach, initially, robotic swarm is conceived to lie within well-defined virtual circular region thus preserving strict interagent cohesiveness among them. However, during progression, evading severely constricted obstacles, circle has been allowed change its and process, varied elliptical shapes are...

This paper presents a switching strategy of region-based shape controller for swarm-robotic framework to overcome the traditional obstacle-avoidance problem in virtual structure methodology. In this control approach, initially, robots move as group inside circular region which we conceive be initial structure, while preserving specific pattern, say triangular formation, among them. order avoid static/dynamic obstacles, approaching towards target without any prior knowledge about environment,...

It is well known that n-length stabilizer quantum error correcting codes (QECCs) can be obtained via classical correction (CECCs) over GF(4), are additive and self-orthogonal with respect to the trace Hermitian inner product. But, most of CECCs have been studied Euclidean In this paper, it shown QECCs constructed 3n-length linear GF(2) This facilitates usage widely construct QECCs. Moreover, classical, binary, cyclic used obtain guaranteed capability. facilitated by fact (i) self-orthogonal,...

Fruits provide essential nutrition in most natural form suitable for human beings. They are best when ripened naturally. However, industrialization has provided many ways quick ripening and extended shelf life of fruits. Detection artificial could be done by sophisticated methods like chemical analysis lab or visual inspection experts, which may not feasible all the time. Of fruits, banana is consumed fruit around world. Adulteration can have devastating effects on masses scale. It figured,...

Mental workload or cognitive load is the total amount of mental resources required while doing a task. Apart from qualitative measures, various physiological signals are being used for assessment workload. However, very limited research has been done on respiratory signals. In present study, we have tried to analyze mainly based features. n-back memory test modified impart low and high load. The peripheral blood volume signal (PPG) collected executing task reconstruct breathing pattern...

In this paper we propose an IoT based framework for driving style assessment using the driver owned smartphone as sensing platform. The GPS and inertial sensors, embedded in phone are used to continually sample measurements of position, speed acceleration moving vehicle. required computation is segregated between a remote server. We present fusion algorithm which offers accurate estimation velocity, thereby position. To obviate need human intervention, adaptive process multi-sensor...

In the past two decades, radar-based human sensing has become a topic of intense research. Unlike vision-based techniques which require use camera, radars are unobtrusive and privacy preserving in nature. Further, agnostic lighting conditions can be used for through-the-wall imaging thereby making them hugely effective many situations. Compact, affordable have been designed that easily integrated with remote monitoring systems. However, classical machine learning currently inferring actions...

The role of Microsoft Kinect in rehabilitation and clinical assessments elderly stroke patients is growing due to its affordability unobtrusiveness assessing human body joint kinematics. However, data highly contaminated by noise the nature structured light based system. characteristics vary for static dynamic joints effecting anthropometric measurement segments connecting any two joints. Here, we use Kalman filter track denoise unwanted vibrations. Initially, process chosen on minimization...

In recent times, research on intelligent transportation and drive quality characterization has emerged to be an important area in the domain of vehicular telematics. The estimation driving behavior relative assessment risky always been a topic interest for fleet managers, vehicle owners as well insurance providers. most appealing use case that come up is analysis reporting behavior, so drivers can get feedback change their pattern accordingly. Assessing style individual, categorization group...

Driver authentication that is verifying a driver's identity constitutes an important aspect of modern day automobile. A driver gets access to drive car based on his identity. Identity normally verified with smart card or possession key. Also there exist verification fingerprint, passcode and image approach using camera mounted inside car. However such do not consider driving style authentication. In this paper, we present uses personalized statistical feature set extracted from the global...

Human activities analyses based on sensor data are gaining much importance. Of particular importance those situations where man-machine interaction needs to be studied. The detection of risk induced while driving and customizing the insurance premium accordingly is an appropriate example. For such, individuals utilize their personally owned smartphones in order collect share them with companies. traditional approach counts number harsh events infers induced. However, such event-based...

Automated detection of Activities Daily Living (ADL) is gaining importance for its application in smart living, elderly car, healthcare, to name a few. In this paper novel automated method human activity proposed using range time scan data Ultra Wide Band (UWB) radar. Unlike earlier methods recognition multi sensor fusion and radar setup, we have used single UWB monostatic mode. work, intensity the reflected signal quantify amount scattering leading formation matrix. Relevant feature...

This study is a proof of concept for assessment mental workload based on breathing pattern reconstructed from photoplethysmograph (PPG) signal. Mental the amount effort required while doing task. The performance an individual declines if too high or low; finally, resulting in fatigue boredom. In this study, we have proposed smart-watch unobtrusive approach which can be used to monitor workload. Two sets tasks are selected impart low and individual. raw PPG data obtained smart watch extract...

Blood pressure (BP) is considered to be an important biomarker for cardiac risk estimation. This paper deals with a non-conventional way of estimating BP using smartphone captured Photoplethysmogram (PPG) that enables unobtrusive health monitoring at home possible alert generation. We have proposed set features are independent the inbuilt sensor capturing device. It also observed that, estimated from typical PPG signal fluctuates in successive cycles due poor quality compared medical grade...

A large and diversified dataset is the cornerstone for analysis of many real world systems. Data collection, especially involving living beings, a time effort consuming approach. augmentation using analytical models gaining traction in computing systems because data scarcity applications. In this paper, we demonstrate case study explosion radar based human gesture detection. We present physical model simulation framework obtaining signals corresponding to different gestures. Radar public...