Evaluation of Truck Dispatch System and its Application using GPS in Opencast Mines- a Case Study of Indian Mines

Truck haulage now a days is the most common means which is used for moving ore/waste in open-cast mining operations. The truck haulage is usually the costliest unit operation in a truck shovel open cast mining. The advancement in computer coding technology has advanced to a point where there are many truck dispatching systems which will give the potential of advancing truck-shovel productivity and future savings. By trying a dispatching system in any mine can give operational increase in production by minimizing waiting times and can give other beneficial advantages and can also be obtained through good monitoring, optimal routing. The capacity of the employed truck-shovel fleet counts on the dispatching methodology in use, the intricacy of the truck shovel system and a number of other variables. It is a very common situation in mining that considerable number of analysis of the available techniques is undertaken before dispatching is done. In many number of cases, computer simulation is the better applicable and effective method of relating the alternative dispatching strategies. Keeping this in mind computer programs are developed using C++ language for the monitoring of the equipment performance in truck dispatch system in opencast mines. To study about the truck dispatch system (TDS), we have made a choice to make it on the shovel dumper combination using GPS. In TDS system the computer monitors the location and status whether the dumper is full or empty and its heading, velocity of each vehicle in the fleet. The system analyses production numbers, such as haul routes, historic data about drive time to a specific shovel location and the cycle time and time taken to make a complete trip, trip from the shovel to the dump site and back

Multi-level Memory for Task Oriented Dialogs

Recent end-to-end task oriented dialog systems use memory architectures to incorporate external knowledge in their dialogs. Current work makes simplifying assumptions about the structure of the knowledge base, such as the use of triples to represent knowledge, and combines dialog utterances (context) as well as knowledge base (KB) results as part of the same memory. This causes an explosion in the memory size, and makes the reasoning over memory harder. In addition, such a memory design forces hierarchical properties of the data to be fit into a triple structure of memory. This requires the memory reader to infer relationships across otherwise connected attributes. In this paper we relax the strong assumptions made by existing architectures and separate memories used for modeling dialog context and KB results. Instead of using triples to store KB results, we introduce a novel multi-level memory architecture consisting of cells for each query and their corresponding results. The multi-level memory first addresses queries, followed by results and finally each key-value pair within a result. We conduct detailed experiments on three publicly available task oriented dialog data sets and we find that our method conclusively outperforms current state-of-the-art models. We report a 15-25% increase in both entity F1 and BLEU scores.Comment: Accepted as full paper at NAACL 201

Integration Of Maintenance Into Design And Sustainability Of Buildings

Custodial maintenance is an important aspect of operational maintenance in a facility. Custodial maintenance improves an organization\u27s discipline, performance and keeps surroundings healthy. That being said maintaining clean surroundings involves considerable cost. Custodial maintenance cost forms significant portion of building budgets, however these costs are often neglected. This research deals with the identification of variables that affect maintenance costs in a facility and reduction of maintenance costs. The minimization of cost is done by giving the administrator or facilities manager the option of selecting alternatives in frequency of maintenance, level of maintenance and the number of people required to complete a maintenance task. This allows the administrator to develop maintenance strategies to accommodate the custodial maintenance budget. An optimization model has been built to achieve the goals of the research. Furthermore, the custodial management system (CMS) developed based on an optimization model allows the administrator to design new buildings from the perspective of reduced custodial maintenance cost and to sustain these costs over time. A case study is presented to validate the working of the model and the software. A sensitivity analysis has also been presented to identify the best alternative for the case study

INFLUENCE OF SURFACE ROUGHNESS OF COPPER SUBSTRATE ON WETTING BEHAVIOR OF MOLTEN SOLDER ALLOYS

The objective of this study is to understand the effect of surface roughness of the Cu substrate on the wetting of molten solder alloys. Eutectic Sn-Pb, pure Sn and eutectic Sn-Cu solder alloys and Cu substrates with different surface finish viz., highly polished surface, polished surface and unpolished surface were used in this work. Highly polished surface was prepared in Metallography lab, University of Kentucky while other two substrates were obtained from a vendor. Surface roughness properties of each substrate were measured using an optical profilometer. Highly polished surface was found to be of least surface roughness, while unpolished surface was the roughest. Hot-stage microscopy experiments were conducted to promote the wetting behavior of each solder on different Cu substrates. Still digital images extracted from the movies of spreading recorded during hot-stage experiments were analyzed and data was used to generate the plots of relative area of spread of solder versus time. The study of plots showed that surface roughness of the Cu substrate had major influence on spreading characteristics of eutectic Sn-Pb solder alloy. Solder showed better spreading on the Cu substrate with least surface roughness than the substrates with more roughness. No significant influence of surface roughness was observed on the wetting behavior of lead free solders (pure Sn and eutectic Sn-Cu)

A prospective comparative study of internal fixation of diaphyseal forearm fractures with LCP and DCP in above 50 year age group

Background: In orthopedic practice forearm bone fracture is commonly encountered fracture. Forearm plays a vital role in day to day activities without which a person is unable to perform his role in his own life. It has been estimated that around 31% of the total fractures of the upper limb are of forearm fractures. The objective of the study was to study and compare internal fixation of diaphyseal forearm fractures with LCP and DCP in above 50 year age groupMethods: Present study was hospital based study. This was a prospective study. A total of 50 patients with fracture of both bones in the forearm were included in the present study. They were divided randomly as 25 patients in each group. They were followed for about eight months.Results: Both the groups in the present study were found to be comparable in terms of age, sex, mode of injury, type of injury and level of fracture. It took only 13.83 weeks for radiological union in LCP group and it took a longer in DCP group of 15.33 weeks. This difference was found to be statistically significant. Overall functional results were almost same in both the groups. Excellent in 36 cases (19 in LCP, 17 in DCP), Good in 10 cases (4 in LCP, 6 in DCP), fair in 4 cases (2 in each group).Conclusions: It has been concluded from the present study that union of fracture after LCP had taken significantly lesser time as compared to the DCP technique. Hence especially in persons above 50 years, LCP should be used

Dynamic Body VSLAM with Semantic Constraints

Image based reconstruction of urban environments is a challenging problem that deals with optimization of large number of variables, and has several sources of errors like the presence of dynamic objects. Since most large scale approaches make the assumption of observing static scenes, dynamic objects are relegated to the noise modeling section of such systems. This is an approach of convenience since the RANSAC based framework used to compute most multiview geometric quantities for static scenes naturally confine dynamic objects to the class of outlier measurements. However, reconstructing dynamic objects along with the static environment helps us get a complete picture of an urban environment. Such understanding can then be used for important robotic tasks like path planning for autonomous navigation, obstacle tracking and avoidance, and other areas. In this paper, we propose a system for robust SLAM that works in both static and dynamic environments. To overcome the challenge of dynamic objects in the scene, we propose a new model to incorporate semantic constraints into the reconstruction algorithm. While some of these constraints are based on multi-layered dense CRFs trained over appearance as well as motion cues, other proposed constraints can be expressed as additional terms in the bundle adjustment optimization process that does iterative refinement of 3D structure and camera / object motion trajectories. We show results on the challenging KITTI urban dataset for accuracy of motion segmentation and reconstruction of the trajectory and shape of moving objects relative to ground truth. We are able to show average relative error reduction by a significant amount for moving object trajectory reconstruction relative to state-of-the-art methods like VISO 2, as well as standard bundle adjustment algorithms

Identifying Multiple Categories of Cybersecurity Skills that Affect User Acceptance of Protective Information Technologies.

Cybersecurity threat is one of the major national security challenges confronting the United States, making it imperative to achieve safe user security behavior on information systems. Safe user security behavior hinges on the attitude of a computer user to accept the usage of Protective information technologies (PIT), including security software. Past studies focused on user acceptance of PIT with antecedents such as usefulness, capabilities, and self-efficacy but rarely addressed specific cybersecurity skills needed to improve the user attitude and acceptance of security software use. The purpose of this study is to examine what category of cybersecurity skills can improve the user acceptance of PIT. We propose a theoretical model that examines the effect of cybersecurity computing skills, cybersecurity initiative skills and cybersecurity action skills on user attitude and acceptance of PIT. This research addresses the national cybersecurity threat and has both theoretical and practical implications

Effect of Azadirachta indica and Tamarindus indica leaf extract and evaporative cooling on the quality characteristics and shelf life of sapota (Manilkara zapota)

Tropical fruits such as Sapota (Manilkara zapota) are highly perishable. The main reasons for the quality deterioration of these fruits are field heat and microbial attack, which can be reduced by proper cooling techniques and by using antimicrobial agents. The present study was undertaken to extend the shelf life of Sapota using evaporative cooling and antimicrobial coating, namely, neem leaves (Azadirachta indica) and tamarind leaves (Tamarindus indica), at different concentrations (20, 50 and 100%). Coated Sapota fruits were stored for 24 days, whereas uncoated fruits were stored for only 7 days. Both the selected antimicrobial extracts showed antimicrobial activity, and the cooling efficiency of the evaporative cooling chamber was 81-85%. Fruits were cooled to 15-18°C (core temperature), which could enable retention of physio-chemical properties. The results indicated that fruits coated with the highest level (100%) of antimicrobial extract coating (neem leaves and tamarind leaves) and stored under evaporative cooling conditions had the lowest percentage loss in weight (5-7% after 24 days of storage) and good retention of total soluble solids (1-2%), pH (2-3%) and total sugars (3-5%). Thus, coating Sapota fruits with neem leaves and tamarind leaf extracts and storing them under evaporative cooling conditions can be a better way to enhance the shelf life of sapota