Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in the Bayesian Occupancy Filter framework using robust motion detection technique for dynamic environment monitoring

The Bayesian Occupancy Filter provides a framework for grid-based monitoring of the dynamic environment. It allows to estimate dynamic grids, containing both information of occupancy and velocity. Clustering such grids then provides detection of the objects in the observed scene. In this paper we present recent improvements in this framework. First, multiple layers from a laser scanner are fused using opinion pool, to deal with conflicting information. Then a fast motion detection technique based on laser data and odometer/IMU information is used to separate the dynamic environment from the static one. This technique instead of performing a complete SLAM (Simultaneous Localization and Mapping) solution, is based on transferring occupancy information between consecutive data grids, the objective is to avoid false positives (static objects) like other DATMO approaches. Finally, we show the integration with Bayesian Occupancy Filter (BOF) and with the subsequent tracking module called Fast Clustering-Tracking Algorithm (FCTA). We especially show the improvements achieved in tracking results after this integration, for an intelligent vehicle application.
on Climbing and Walking Robots and the Support

Source searching is an important task in many real world applications and it has been widely studied using various types of robotic systems. In this task, the robot has to first detect the presence of the source in the search space before it can continue to locate the source to its approximate location. In order to efficiently detect the source, the robot must optimize search space exploration. Lévy flight is one of the optimal algorithms for search space exploration. However, for a destructive type of source searching, Lévy flight is susceptible to two problems. Firstly, the possibility of immediate returns to the previously visited site is high. Secondly, robot tends to temporarily stuck at the boundary of the search space until a new angle that bring robot away from the boundary is generated. In this paper, the solutions to the two problems are proposed by imposing angle constraints to Lévy flight and by using boundary reflection, reflectively. The results show that the exploration capability of the Lévy flight with the proposed strategy is improved compared to the conventional Lévy flight model.
Quad-Rotor Unmanned Helicopter Designs

The quad-rotor unmanned helicopter design has superior capabilities in comparison to any other configuration because four rotors is the minimum number that assures attitude management without the need for control surfaces or tilt rotor mechanisms. Quad-rotors have drawbacks too, but the simplicity of their design and the low costs for obtaining and maintenance of such a helicopter make them most ubiquitous among multi-rotor aircraft. Starting from the four rotor paradigm authors have developed innovative designs of quad-rotor unmanned helicopters that have further benefits from the current designs and although unable to offer the safety of helicopters with larger number of propellers they present novel features and give researches and users new flying platform for their projects and activities.
Syn Rec: A Prediction Technique using Collaborative Filtering and Synergy Score

Recommender systems are techniques designed to produce personalized recommendations. Data sparsity, scalability cold start and quality of prediction are some of the problems faced by a recommender system. Traditional recommender systems consider that all the users are independent and identical, its an assumption which leads to a total ignorance of social interactions and trust among user. Trust relation among users ease the work of recommender systems to produce better quality of recommendations. In this paper, an effective technique is proposed using trust factor extracted with help of ratings given so that quality can be improved and better predictions can be done. A novel-technique has been proposed for recommender system using film-trust dataset and its effectiveness has been justified with the help of experiments.
Absence of Industry Effect in Modelling Corporate Collapse in Australia

This paper investigates whether or not an industry effect is present when modelling corporate collapse in Australia. The investigation is motivated by a lack of consistency in the literature regarding such an effect. Moreover, this paper makes a unique contribution by applying an innovative methodological approach, called Multi-Level Modelling (MLM), for model derivation. Unlike the traditional two-step methodology used so far in the literature, MLM carries out model derivation and tests for an industry effect in a single step. Finally, the effectiveness of MLM is demonstrated using a sample of Australian publicly listed companies during the period 1989 to 2005; empirical results point to the absence of an industry effect. Field of research: Finance
Experimental investigation on excursive behaviour of an air-lift loop

Air-Lift Loop exhibits an excursive behaviour when it is operated under low liquid inventory. To study this dynamic behaviour the loop circulation rate is measured in the downcomer by a magnetic flowmeter and the signals are analysed using different techniques of nonlinear dynamic analysis. This excursive behaviour is rigorously analysed through FFT and scatter plot techniques along with the help of recorded raw signals and visual observations. Investigations show that with the increase in the rate of air injection in the riser, oscillations of the flow rate through the downcomer increases and its behaviour shifts from periodic to chaotic nature. It is further noticed that the change of flow regime in the riser has a direct influence on the behaviour of ALL and change of periodic to random nature occurs when the flow regime in the riser changes to churn flow from slug flow.
Unmanned Systems Network-Centric Operations

Abstract : This presentation describes the Space and Naval Warfare Systems Center, San Diego's (SSC San Diego), role in network-centric operations for unmanned systems. It is SSC San Diego's goal to be the nation's pre-eminent provider of integrated C4ISR solutions for warrior information dominance. These briefing charts cover the following topics: FORCEnet Services Infrastructure (FSI); Composeable FORCEnet; Enabling Technologies, such as Unmanned Vehicles, Sensors/Payloads, Secure Wireless Networks, Data Management and Fusion; Unmanned Underwater Vehicles (UUVs); Unmanned Systems Command and Control (C2); Unmanned Ground Vehicle (UGV) C2 Interoperability; Unmanned Surface Vehicle (USV) C2; Autonomous Unmanned Aerial Vehicle (UAV) Mission System; UGV Remote Operations; Networked Intelligence Surveillance and Reconnaissance (NISR); NISR Objectives; Requirements, including Operational Approach and Core Requirements; Spiral Development; Phase I Development, including Development Challenges and Design Decisions; Phase I Block Diagram; NISR Phase I Network Layout; Web Controller; NISR Phase II; Phase II Development, including Development Challenges and Design Decisions; Phase II Block Diagram; Phase II Network Layout; NISR Operation - Direct Control; NISR Scenario - Collaboration; Collaboration Scenario; NISR Spiral Development; and Partners in this collaboration.
Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey

Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things (IoT). Despite this controversy the papers reviewed agree that both have become crucial elements not only for industry but also for society in general. The impact of a malware attack affecting one of these systems may suppose a risk for the industrial processes involved and perhaps also for society in general if the system affected is a critical infrastructure. This article reviews the state of the art of the application of machine learning in the automation of malware detection in cyberphysical systems, evaluating the most representative articles in this field and summarizing the results obtained, the most common malware attacks in this type of systems, the most promising algorithms for malware detection in cyberphysical systems and the future lines of research in this field with the greatest potential for the coming years.
On improving low-cost IMU performance for online trajectory estimation

We have developed an automatic mitigation method for compensating drifts occurring in low-cost Inertial Measurement Units (IMU), using MEMS (Microelectromechanical systems) accelerometers and gyros, and applied the method for online trajectory estimation of a moving robot arm. The method is based on an automatic detection of system’s states which triggers an online (i.e. automatic) recalibration of the sensors parameters. Stationary tests have proven an absolute reduction of drift, mainly due to random walk noise at ambient conditions, up to ~50% by using the recalibrated sensor parameters instead of using the nominal parameters obtained from sensor’s datasheet. The proposed calibration methodology works online without needing manual interventions and adaptively compensates drifts under different working conditions. Notably, the proposed method requires neither any information from an aiding sensor nor a priori knowledge about system’s model and/or constraints. It is experimentally shown in this paper that the method improves online trajectory estimations of the robot using a low-cost IMU consisting of MEMS-based accelerometer and gyroscope. Applications of the proposed method cover automotive, machinery and robotics industries.
アメリカ合衆国におけるKaufman Assessment Battery for Childrenに関する研究動向

When the Kaufman Assessment Battery for Children (K-ABC; A. S. Kaufman & N. L. Kaufman,. 1983a, 1983b) was published just over 10 years ago, it had many nal Kaufman Assessment Battery for. Children (K-ABC) (Kaufman &. Kaufman, 1983) in both its theoretical conception and structure. This chapter will provide a The first edition of the Kaufman Assessment Battery for Children. (KABC; Kaufman & Kaufman, 1983) was a ground-breaking measure. Unlike most tests at the Mar 29, 2012 children second edition. (KABCII). Abstract. The Kaufman Assessment Battery for Children-Second Edition (KABC-II; Kaufman & Kaufman,.
Dynamic capacity enhancement using a smart antenna in mobile telecommunications networks

This work describes an investigation into the performance of antennas for mobile base station applications and techniques for improving the coverage and capacity within a base station cell. The work starts by tracing the development of mobile systems, both in technical and commercial terms, from the earliest analogue systems to present day broadband systems and includes anticipated future developments. This is followed by an outline of how smart antenna systems can be utilised to improve cell coverage and capacity. A novel smart antenna system incorporating an array of slant ± 450 dual- polarised stacked patch elements four columns wide excited by a novel multi-beam forming and beam shaping network has been designed, simulated and implemented. It is found that for an ideal smart antenna array, four narrow overlapping beams, one wide “broadcast channel” beam and right and left shaped beams can be provided. Results are presented for the simulation of the smart antenna system using CST EM simulation software which inherently includes mutual coupling and the effects of a truncated ground plane on the element patterns. The results show some significant changes to the desired set of coverage patterns and various mutual coupling compensation techniques have been reviewed. An improved design technique has been developed for compensating the performance degrading effects of mutual coupling and finite ground plane dimensions in microstrip antenna arrays. The improved technique utilises combination of two previously known techniques: complex excitation weights compensation by inversion of the array mutual coupling scattering matrix and the incorporation of a WAIM (wide angle impedance matching) sheet. The technique has been applied to a novel multi-beam smart antenna array to demonstrate the efficacy of the technique by electromagnetic simulation. In addition, a demonstrator array has been constructed and tested which has yielded a positive conformation of the simulation results. For the developed demonstrator array which provides seven different beams, beams “footprints” have been predicted both for free space propagation and for urban propagation to evaluate the dynamic capacity performance of the smart antenna in a 3G mobile network. The results indicate that sector capacity can be dynamically tailored to user demand profiles by selection of the appropriate beam patterns provided by the novel smart antenna system.
RELATIONSHIP BETWEEN QUALITY MANAGEMENT PRACTICES AND COMPETITIVE PERFORMANCE JAPANESE QUALITY AWARD PERSPECTIVE

This paper presents the results of an empirical study on the relationship between quality management practices and competitive performance based on our framework to analyze the evaluation criteria for the Japanese Quality Award (JQA). Path analysis technique is applied to test the proposed framework using data gathered from 163 manufacturing plants, and the result indicates that the data fit well with the JQA model. Multiple regression analysis is used to determine the path coefficient, which is decomposed into direct and indirect effects. Competitive performance is significantly explained by process management. In addition, top management leadership, information analysis, customer relationship, and workforce management are found to indirectly relate with competitive performance. Our findings suggest that JQA model should be adopted as a framework for the self-innovation in business organizations to gain the competitive advantages.
Compact dual-band band-reject filter using complementary split-ring resonators

A compact dual-band band-reject filter using complementary split-ring resonators is proposed. This complementary structure helps to expand the bandwidth or to design filters with multi bands. The centre frequency of the filter is at 6.05 and 7.14 GHz with the FBW of 11.1 and 11.3%, respectively. Good agreement has been obtained between simulated and measured results.
Abbreviated Assessment of Three Moving Map Displays for the UH-60 Helicopter

Abstract : An assessment of three moving map display systems was conducted to support modernization of the UH-60 helicopter. The systems included the Peregrine digital map, Applique' V2 computer and Force XXI Battle Command-Brigade and Below (FBCB2) software, and the Primary Selectable Mission Support System (PRISMS22). The assessment was based on subjective ratings by Army pilots regarding the impact of the moving map displays on aircrew workload and situational awareness when these displays are used in the cockpit for pilotage, navigation, and mission tasks. The pilots also assessed the hardware and software usability characteristics of the displays. Results indicate that each system has potential for enhancing situational awareness and minimizing workload for UH-60 pilots. However, significant improvements in the hardware and software interface of the Applique-FBCB2 and Peregrine digital map would need to occur before they would be suitable for use in the UH-60 cockpit. Improvements in the hardware and software interface of the PRISMS22 would enhance its usability in the cockpit. Each of the systems would also need to be fully interoperable with the Aviation Mission Planning System.
An Information Processing Classification of Beyond-Visual-Range Air Intercepts

Abstract : This research produced a descriptive classification of the task behaviors and cognitive processing associated with performing a beyond-visual- range (BVR) air combat mission. An F-15C defensive counter air mission scenario was analyzed to identify the critical tactical decisions required of the pilot, the information that must be processed in order to make these decisions, and the overt behaviors associated with pilots' information processing. The goal of this classification scheme was to determine observable behaviors that can be used as overt indicators of cognitive information processing. For future research purposes, the classification will provide a framework for identifying observable task behaviors that may be worthy candidates for developing and testing measures of performance. Such measures are essential for assessing the effectiveness of simulator-based training programs for enhancing the cognitive skills necessary for BVR employment.
Techno Economic Evaluation of a Hybrid Energy System

Use of renewable electricity resources has proved to be a more reliable and cleaner solution now-a-days. Photovoltaic units, wind turbine units have been considered as these are the most commonly used renewable energy generators today, but these generators involve high values of losses and are highly expensive. This paper presents a multi objective optimization using the Matlab GAtool. The algorithm is executed on a test system of 69 buses. The results of the case study show that proper positioning of renewable energy generators and sizing can lead to improvement in voltage profile, reduction in power losses and reduction in cost. Cost analysis of this framework is performed using Homer Pro3.8. 1 which shows that this hybrid energy system is more efficient and economical than using of a single renewable electricity generator or combinations of renewable electricity generators of different sizes for a variable load profile. The advantages of this algorithm include its accuracy, calculation speed and the reduced values.
Estimation of Gross Primary Productivity (GPP) using Moderate Resolution Imaging
Spectroradiometer (MODIS)

: This study investigates the performances of satellite imagery data from Moderate Resolution Imaging Spectroradiometer (MODIS) in estimating gross primary production (GPP) in Kelantan. The quantitative estimation of GPP is calculated through a light use efficiency model (LUE) and enhanced vegetation index (EVI) as a proxy of greenness to address spatial and temporal variation in terrestrial photosynthetic activities. GPP is the amount of carbon captured by plants and it is an important biophysical parameter in the spatio-temporal dynamics of carbon dioxide. Estimation of GPP is important for natural resource and land management, regional carbon cycle analysis, ecosystem status assessment, and environmental change monitoring. The MODIS data products of MOD15 FPAR and MOD17A2H were acquired and analyzed. The GPP value was calculated from MODIS data and the product are classified into a different range of categories in the image classifications process. The estimation of GPP in Kelantan was up to 646 gC/m 2 /month. The highest value of GPP (646 gC/m 2 /month) was found in Chiku, Gua Musang district. The main vegetation detected in this area were oil palm and the surrounding areas covered with intact forests. Meanwhile, the lowest GPP (0 to 100 gC/m 2 /month) was estimated in Kota Bharu, Tumpat and Bachok districts where least vegetation with numbers of land developments was found in these areas. MODIS can be used to estimate GPP with efficient time, cost and energy and this preliminary study will be helpful for the development of future GPP estimation models. However, further study needed to enhance the accuracy of estimation of GPP, especially in different land-use type in Kelantan.
Computer-aided design methods for the additive fabrication of truss structure

This paper presents computer-aided design methods to create truss structures manufactured with additive fabrication to enhance a part’s mechanical properties. It describes the overall design process for the truss structure, and then discusses how parametric modeling and solid modeling techniques, finite element methods, and optimization approaches are applied to design the truss structure. Examples and some potential applications will be discussed.
Continuous Non-Invasive Blood Pressure Monitor.

Abstract : The patent application discloses a continuous non-invasive blood pressure monitoring system. It includes a resilient enclosure, which is adapted to be inflated to a desired pressure and is retained in position immediately over a superficial artery of the person whose blood pressure is to be monitored. The resilient enclosure is maintained at a static non-occluding predetermined pressure against the selected superficial artery by appropriate means such as a cuff enclosing the wrist for detecting blood pressure in the radial artery. A transducer is connected to the bladder or resilient enclosure to receive pressure deviations from the predetermined pressure as induced by arterial pulsations. The transducer is responsive to increases and decreases relative to the predetermined pressure for generating commensurate electrical signals which are then calibrated.
New Developments in Tests of Coatings and Wrappings

voir have been exposed for as long as 4 years. In the laboratory, coatings and wrappings for buried pipe have been subjected to as many as 25 cycles of disruptive wetting and drying action of clay soil. During the time since test results were first reported, it has become possible to judge more accurately the potentialities of the test coatings for service. Service experiences and data from other tests by the Reclamation Bureau have been added to this report to permit a more complete evaluation of the various protective coatings under consideration. Most of the coatings tested are proprietary products and the cooperation of the coating industry in furnishing materials and, in some instances, applying them has been an important factor in carrying out the test program. In the interests of brevity, details of testing procedures given in the 1952 report are not repeated. Shasta Dam Penstock Tests
Polyphenols of chuchuhuazo (Maytenus macrocarpa bark) as antioxidant and preservative in fresh sausage.

Graduate student in agro-industrial engineering. Amazon State University, Km. 2 1⁄2, vía Puyo a Tena (Paso Lateral). Tel. 032-888-118 / 032-889-118. Postal Code: 160150. Puyo, Ecuador. Professors-Researchers. Amazon State University, Km. 2 1⁄2, vía Puyo a Tena (Paso Lateral). Tel. 032-888-118 / 032-889-118. Postal Code: 160150. Puyo, Ecuador. Researching technician. Amazon State University, Km. 2 1⁄2, vía Puyo a Tena (Paso Lateral). Tel. 032-888-118 / 032-889-118. Postal Code: 160150. Puyo, Ecuador.
THE ILLUMINATED SURFACE AREAS OF HID AND TUNGSTEN-HALOGEN HEADLAMPS IN THE U.S.

The Affiliation Program currently includes AGC America, Autoliv, Automotive Lighting, Avery Dennison, BMW, DaimlerChrysler, DBM Reflex, Denso, Exatec, Federal-Mogul, Fiat, Ford, GE, Gentex, General Motors, Guardian Industries, Guide Corporation, Hella, Honda, Ichikoh Industries, Koito Manufacturing, Labsphere division of X-Rite, Lang-Mekra North America, LumiLeds, Magna International, Mitsubishi Motors, Nichia America, North American Lighting, OSRAM Sylvania, Pennzoil-Quaker State, Philips Lighting, PPG Industries, Reflexite, Renault, Schefenacker International, Solutia Performance Films, Stanley Electric, Toyota Technical Center USA, Valeo, Vidrio Plano, Visteon, 3M Personal Safety Products, and 3M Traffic Control Materials. Information about the Affiliation Program is available at: http://www.umich. edu/~industry/