Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying and Clustering Users for Unsupervised Intrusion Detection in Corporate Audit Sessions

We address intrusion detection in audit sessions, focusing on masquerades and insider threats. Unsupervised intrusion detection can straightforwardly be addressed through supervised user identification. This allows us to simply model the normal behavior of users implicitly within any supervised classifier. However certain users can have very similar behavior as shown by their audit sessions, thus learning to distinguish them is meaningless and leads to false positives. To address this issue we propose a second method, which identifies user clusters instead of individual users. By discarding harmless alarms for users with similar sessions, a better trade-off between false positives and detection rate can be achieved. We evaluate both methods on real-world and synthetic corporate audit sessions: our methods outperform anomaly detection baselines for masquerade detection. Our results suggest that user identification is effective for masquerades, while insider threats should be detected differently.
Credibility investigation for tweets and its users

Fake news has been evolved since the internet use has been increased and mainly when the focus has been diverted on to some social networking sites for gaining any kind of information or news. The widely accepted definition of fake news is the news that is not true or unreal spreaded either intentionally or unintentionally. people are using twitter, Facebook and Instagram for seeking any kind of news or information. In this paper we have proposed the framework to find out the authenticity of the twitter user and tweets by computing tweet score and user score. With the help of these scores we will be able to label the tweet and its user as an authentic tweet or user that has been verified by some methods.
IoT based Waste Collection Management System for Smart Cities: An Overview

As of late, it is seen that dustbins set at a different spots like open places, for example, healing centers, instructive Institutes and Industries are flooding. This flooding of refuse canisters make unhygienic condition which can spread the sicknesses . Also fast increment in populace squander offer ascent to inappropriate waste administration. To maintain a strategic distance from this circumstance, we proposed new framework "Smart City Garbage Collection and Monitoring System". In the recent decades, Urbanization has increased tremendously. In the meantime there is an expansion in waste creation. Waste management has been a pivotal issue to be considered. This paper is a way to deal with achieve this incredible inspiration. In this paper, smart bin is built on a microcontroller based platform Raspberry pi Uno board which is interfaced with GSM modem and Ultrasonic sensor and also the weight Sensor which is used for calculating the weight of the dustbins. The weight sensor is placed at the bottom of the dustbins which will measure the weight of the dustbins and also The Ultrasonic sensor is placed at the top of the dustbin which will read the status of the dustbin. The threshold limit is set as 10cm. Raspberry will be programmed in such a way that when the dustbin is being filled, the remaining height from the threshold height will be displayed. When the junk achieves the limit level ultrasonic sensor will trigger the GSM modem which will persistently caution the required expert until the trash in the dustbin is squashed. As indicated by the area, expert will sends the message to the separate administrator; waste vehicle can gather the refuse, which is finished with the assistance of robot component.
Landcover Based 3-Dimensional Inverse Distance Weighting for Visualization of Radiation Dose

Changing amount of radiation dose has been a great concern by citizen near the difficult-to-return area in Japan. Rigorous assessment of public safety including inaccessible areas at a meter level is one of the keys to resolution of this concern. Observation approach in this study is the use of quadcopter UAVs (unmanned aerial vehicles) for extensively covering measurement points. However, sometimes measurement points are surrounded by different landcovers including high forest, building and uneven ground, and thus estimation accuracy depends on the geographical feature near the measurement point. This paper presents a landcover-based 3-dimensional inverse distance weighting for visualization of radiation dose in a web service system. The field test at a resident in forests was performed, and we found that the proposed method improves RMSE by 23% with the greater visibility at the roads surrounded by high forests where the average dose was 0.5 µSv/h.
Tactile Design: Translating User Expectations into Vibration for Plausible Virtual Environments*

The aim of this paper is to demonstrate a novel design strategy for whole-body vibration based on user expectations which facilitates product design and the creation of plausible virtual environments. In both applications vibration parameters need to be derived from user expectations. Users can quantify their tactile expectations by rating a compact set of familiar sensory perceptual attributes (e.g. "tingling", "weak") without prior training. These ratings could be translated into parameters of vibration eliciting the expected perceptual attributes with the help of the relationship uncovered in a previous study. But are such attributes useful for the synthesis of whole-body vibration? To answer this question audio-visual-tactile vehicle scenes were recorded and rated for their elicited perceptual attributes. Subsequently scenes with vibration synthesized from these ratings were created. In a second experiment recorded scenes and synthesized scenes were rated for their perceived plausibility. Results show that plausibility ratings are extremely similar between recorded and synthesized vibration despite clear temporal spectral differences. These findings suggest that the plausibility illusion can be produced by presenting vibration which elicit the expected perceptual attributes. Thus, tactile perceptual attributes are sufficient to quantify user expectations from which plausible vibration can be systematically designed.
Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data Availability

Data-driven prognostics solutions underperform under the conditions of limited failure data availability since the number of failure data samples is insufficient for training prognostics models effectively. In order to address this problem, we present a novel methodology for generating real-valued failure data which allows training datasets to be augmented so that the number of failure data samples is increased. In contrast to existing data generation techniques which duplicate or randomly generate data, the proposed methodology is capable of generating new and realistic failure data samples. To this end, we utilised the conditional generative adversarial network and auxiliary information pertaining to the failure modes. The proposed methodology is evaluated in a real-world case study involving the prediction of air purge valve failures in heavy trucks. Two prognostics models are developed using gradient boosting machine and random forest classifiers. It is shown that when these models are trained on the augmented training dataset, they outperform the best prognostics solution previously proposed in the literature for the case study by a large margin. More specifically, costs due to breakdowns and false alarms are reduced by 44%.
Implementation of Web AR Applications with Fog Radio Access Networks Based on Openairinterface Platform

Augmented Reality (AR), is a technology that gives you an interactive experience of the real world where the objects reside in are ‘augmented’ by computer-generated perceptual information. Though some AR applications already exist on our smart devices, their development is not as promising as expected due to the requirement of the installation of a dedicated app. Hence the application of AR on large scales has been hampered to a certain extent. The advent of Web AR is a good complementary of the original in-app AR applications. With the convenience and cross-platform characteristics of Web browser, Web AR is being paid increasingly attention from both manufacturers and researchers. Fog Radio Access Networks (F-RAN) architecture takes full advantage of the storage and processing capabilities in edge devices, which significantly alleviates the burden of the fronthaul and BBU pool and reduces the transmission delay. Openairinterface is an LTE-compatible open source platform provided by Openairinterface Software Alliance (OSA). It is a promising demonstration platform, on which many new system architectures and communication technologies can be deployed. In this article, two applications of Web AR, including Web Face AR and Web Space AR, are successfully demonstrated on our F-RAN hardware platform based on Openairinterface. Performance evaluation results validate that they can provide users with good Quality of Experience (QoE) and very low latency.
Multidimensional Density Smoothing with P-splines

We propose a simple and effective multidimensional density estimator. Our approach is essentially penalized Poisson regression using a rich tensor product B-spline basis, where the Poisson counts come from processing the data into a multidimensional histogram, often consisting of thousands of bins. The penalty enforces smoothness of the B-spline coefficients, specifically within the rows, columns, layers–depending on the dimension. In this paper, we focus on how a one-dimensional P-spline density estimator can be extended to two-dimensions, and beyond. In higher dimensions we provide a hint on how efficient grid algorithms can be implemented using array regression. Our approach optimizes the penalty weight parameter(s) using information criteria, specifically AIC. Two examples illustrate our method in two-dimensions.
LoongSing Influence Analysis for Chinese Weibo User

Recently micro-blog (also called Weibo) has a dramatically explosive growth in user’s count and apps once seen in social media community in China. Different user has different impact in the social media community such as famous movie stars even have ten millions fans. In this poster, we propose an influential model based on User-Weibo graph and assign influential rank for different users based on their influences. Also an influence app based on Sina Weibo is developed and demonstrated to evaluate the influences’ rank by oneself. KeywordsSocial media, micro-blog, Weibo, Influence analysis, LoongSing
Paradoxical Carbon Dioxide Embolus : Rare Cause of Morbidity During Laparoscopic Cholecystectomy

Laparoscopic cholecystectomy is a very common surgical procedure with a low complication rate (2.0-2.5%), but one rare complication, venous gas embolism, can be potentially lethal. Venous gas embolism occurs when a gas embolism, carbon dioxide in the case of laparoscopic surgery, is entrapped either in a vein, artery, solid organ, leading to entrapment in the right sided circulation and ultimately circulatory collapse. A patent foramen ovale (PFO) is a congenital cardiac lesion that exists in approximately 20-30% of the population. If a patient with a PFO undergoing a laparoscopic procedure suffers from venous gas emboli during carbon dioxide insufflation, he or she may not only have hemodynamic collapse requiring cardiopulmonary resuscitation, but also paradoxical air emboli to the coronary and cerebral circulation. We presented such a case experienced at our institution.
FLEXIBLE STRAIN SENSORS BASED ON PRINTED CARBON NANOTUBE LAYERS ON POLYDIMETHYLSILOXANE

The unique mechanical and electrical properties of carbon nanotubes represent a potential for developing a piezo-resistive strain sensor for smart structures. This study demonstrated a new processing technique of multi-walled carbon nanotube strain sensors with tunable strain gauge factors. A digital-controlled sprayingevaporation deposition process that uses a 12-array bubble jet nozzle attached to a digital x-y plotter combined with a heated substrate which induces evaporation of the solvent was developed. The experimental results showed that the prepared carbon nanotube strain sensors are capable of measuring strains through highly linear electrical resistance change. The fabricated sensors exhibit a high stretchability (in excess of 45%) and sensitivity with a highest gauge factor of 35.75. The gauge factors of the fabricated strain sensors could be easily tuned by controlling the number of printed layers of carbon nanotubes. The cyclic loadingunloading test results revealed that the strain sensors exhibited excellent long-term durability. These superior sensing capabilities of the fabricated CNT/Polydimethylsiloxane (PDMS) strain sensors offer them potential applications in wearable smart electronics and structural health monitoring.
Identification of vulnerable region susceptible to soil losses by using the relationship between local slope and drainage area in Choyang creek basin , Yanbian China

The main purpose of this study is to suggest a methodology for identifying vulnerable region in Choyang creek basin susceptible to soil losses based on runoff aggregation structure and energy expenditure pattern of natural river basin within the framework of power law distribution. To this end geomorphologic factors of every point in the basin of interest are extracted by using GIS, which define tractive force and stream power as well as drainage area, and then their complementary cumulative distributions are graphically analyzed through fitting them to power law distribution to identify the sensitive points within the basin susceptible to soil losses with respect to scaling regimes of tractive force and stream power. It is observed that the range of vulnerable region by scaling regime of tractive force is much narrower than by scaling regime of stream power. This result seems to be due to the tractive force is a kind of scale dependent factor which does not follow power law distribution and does not adequately reflect energy expenditure pattern of river basins. Therefore, stream power is preferred to be a more reasonable factor for the evaluation of soil losses. The methodology proposed in this study can be validated by visualizing the path of soil losses, which is generated from hill-slope process characterized by local slope, to the valley through fluvial process characterized by drainage area as well as local slope.
A Site-Specific Tool for Optimizing Final Clarifier Design and Operation

The final clarifier is one of the most important unit processes and often determines the capacity of a treatment plant. Clarification is a solids separation process, which results in the removal of 99 percent or more of the suspended solids (biological floc) received from the activated sludge system. The separated solids are transported to the bottom of the clarifier and removed as return activated sludge (RAS). The clarifier failure can lead to solids carryover resulting in a reduction in solids retention time (SRT) below that required for meeting process goals. The State Point Analysis (SPA) is a practical tool that can be used to perform a "what if" analysis based on sitespecific data. Consequently, it enables engineers to examine clarifier behavior under various operating scenarios during the design phase, lower design safety factors and avoid over design, size clarifiers in conjunction with the biological process, and achieve cost savings. Likewise, using the SPA approach operators can predict impending problems early, implement corrective measures in a timely fashion, and adapt to upstream changes in the biological process. The Valrico Advanced Wastewater Treatment Plant (AWTP), is a biological nutrient removal (BNR) facility owned and operated by Hillsborough County, FL. The plant is being expanded from 6.0 to 12.0 mgd (AADF) with provision for the ultimate 18 mgd facility. Included in the expansion are new oxidation ditches and final clarifiers. In an effort to realize capital cost savings without compromising flexibility and functionality, the SPA was used as a design tool to assess clarifier performance under various operating scenarios resulting in optimum clarifier size for the expanded plant. This paper outlines the SPA approach and its role in optimizing the design and operation of final clarifiers based on site specific data.
Deploying ArcGIS Engine for tailored analyses in nature conservation

Nowadays biodiversity research and management of natural resources should include also those analyses which consider spatial information. However, complex analysis or even processing chains are not readily available in standard GIS packages and hence require customisation. ArcObjects provides numerous GIS API which facilitate the development of a focused light-weight GIS by means of ArcGIS Engine. Here, the API considerably reduce the implementation time for setting up such an application. Besides the implemented functions for geodata analysis and visualisation the developed BiotaEastGIS Tool comprises a comprehensive help system as well as a simple GUI allowing for a straightforward consideration of the spatial context in biodiversity research and management even by so-called non-GIS professionals. The array of functions is based on eight years of integrated biodiversity research experiences within the BIOTA East Africa project. A first training of people from the African counterpart institutions on the beta version revealed its high potential.
GASIFICATION-POST-COMBUSTION OF WASTE MATERIALS; INFLUENCING PARAMETERS AND ON-UNE MONITORING OF ORGANIC SUBSTANCES

Gasifieation of waste materials on grate systems with independend post-eombustion is a newly developed proeessing for thermal waste treatment. The proposed paper shows investigations of influeneing parameters eoneeming deeomposition of organie traee eomponents in the post-eombustion proeess at a pilot plant in eonjunetion with the applieation of an on-line analysis method. The applied analysis method is a eombination of laser indueed Resonanee-Enhaneed Multi Photon lonization (REMPI) and Time-of-Flighl Mass Speetrometry (TOFMS) whieh represents a useful 1001 for the deteetion of trace quantities of organie substanees.
Novel Simulation of a Voltage-Driven Electro-Thermo-Mechanical MEMS Self-Oscillator

S. Ouenzerfi1,2,3, H.A. C Tilmans2, S. El-Borgi3 and X. Rottenberg2 1KACST-Intel Consortium Center of Excellence in Nano-manufacturing Applications (CENA), Riyadh, KSA 2 IMEC, Leuven, Belgium 3 Applied Mechanics and Systems Research Laboratory, Tunisia Polytechnic School, University of Carthage, B.P. 743, La Marsa 2078, Tunisia Novel Simulation of a Voltage-Driven Electro-Thermo-Mechanical MEMS Self-Oscillator
Management of wind energy in sustainable development process in the Central Dobrogea ( Istria region )

This paper represents a strategic assessment of the environmental impact determined by the future construction of a wind park in Constanta region, necessary for the planning phase of the project as required by the principles of sustainable development but also European and national legislation. In this paper are presented the climatic factors which were monitored for one year, combined with biodiversity studies in the impact area (ROSPA0031 Danubius Delta and Sinoe Razelm complex and ROSCI065 Danubius Delta). Another goal of the study is to emphasize the impact of the wind farm construction effect on the economy and Istria region society. It also outlines the concerns of the impact on the environment (soil, water, air, landscape) in conjunction with data regarding noise, vibrations and flickering effect of the turbines on the residential zone. Wind PRO program enables to identify the worst case and to choose the optimal placement of turbines in relation to the ambient zone. Key-Words: wind farm, biodiversity, Wind PRO program, Environmental Impact Assessment, Natura 2000
EFFECT OF MASS LOADING AND MICROWAVE ABSORBER APPLICATION METHOD ON THE PRODUCT FROM MICROWAVE ASSISTED PYROLYSIS OF PALM OIL MILL EFFLUENT

Approximately, about 50 million tons of Palm Oil Mill Effluent (POME) is produced every year, however, discharge of POME to open water source will cause negative impact to environment. High production of POME makes it impossible to dispose at the disposal company, therefore, in-situ treatment has been developed. Current disposal method implemented by palm oil industries is through biodegradable pond. This method is applied due to high water content in POME about 90% of water. Microwave assisted pyrolysis would be an alternative method to deal with the POME since not only can disposed but also can convert to valuable material such as solid char and pyrolytic oil. In this paper, effect of mass loading of POME at a range of 100 to 500 grams with additional activated carbon (AC) was studied. Microwave power level, radiation time and mixing ratio of AC were set constant at 1000 W, 30 minutes and 5%, respectively. Product yields of solid and liquid were analyzed for the best process performance. Solid char obtained has a potential to be utilized as solid fuel since its energy content was >20 MJ/kg and has high carbon content at >80%. Meanwhile, about 20% of chemical content in the pyrolytic oil has the carbon number in the range of C1 to C10.
How Will Ocean Change Affect Marine Life?

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