Investigating the Perceived Human Errors in 4D-BIM Construction Scheduling

Four-dimensional building information modeling (4D-BIM or 4D Scheduling) is well known to benefit the construction industry in many ways. 4D-BIM is an effective scheduling technique which integrates traditional scheduling methods and advanced visualization of the construction sequences in a 3D environment. Despite the potential benefits of 4D-BIM to improve scheduling quality, errors still often occur in construction schedules. The objective of this research is to understand the association between human errors and computer-aided scheduling. This paper focuses on examining the current practices of 4D-scheduling to gain insights on potential errors during the process of scheduling. Furthermore, the paper discusses a set of root causes of scheduling errors based on different types of human errors in cognition error theories. The research determined human errors through an integrated approach of literature review and a survey. The results of this study are expected to provide new knowledge about what human errors that commonly occur during the scheduling processing using BIM and their root causes. This study also discusses a few error reduction/prevention methods that can help BIM practitioners, schedulers, organizations to avoid perceived human errors during 4D-BIM work process

The Impact of Isolated Visual Representation Of A 3D Model in the BIM Cave

The BIM CAVE (Computer Aided Virtual Environment for Building Information Modeling) system at Texas A&M University enables users to walk through Building Information Models (BIM) created using commercially available BIM software, such as Navisworks, in an immersive virtual reality environment. The current BIM CAVE system synchronizes the position and orientation of the camera within the building information model, and presents the sequence of building assembly process, which is also called 4D construction simulation. Construction industry professionals, who have tested the BIM CAVE system, expressed their wish to browse Mechanical, Electrical, and Plumbing (MEP) components in the model without getting bothered by any obstructions in their line of sight. In order to address that particular issue, this research developed a new BIM CAVE plugin application that can hide some building components from the sight, or make those components transparent, so that users can see other building components of their interest without getting their view blocked. The new BIM CAVE plugin application was then tested for its effectiveness in improving user’s understanding of a 3D model. For this test, five construction industry professionals were invited to use the new function of the BIM CAVE and to address their opinions and views about this new function. This test proved that the new BIM CAVE application will have a positive impact in making timely decisions and in issue resolution which can save a lot of time and money

Leydig cell tumor of ovary with primary hyperparathyroidism: A rare association

Leydig cell tumors of ovary are extremely rare sex cord stromal tumors that account for <0.2% of ovarian cancers. Most of these tumors can cause hyperandrogenism. A 54 year old multiparous postmenopausal woman, known diabetic and hypertensive, presented with progressive virilization, bone pains and depressed mood for 2 years. Diagnostic evaluation revealed markedly elevated testosterone with normal dehydroepiandrosterone sulphate. Computerized tomography of abdomen showed right ovarian mass with multiple cysts in both kidneys. Biochemical investigations revealed hyperglycemia, hypercalcemia, hypophosphatemia and elevated parathormone (PTH) levels. Sestamibi scan for parathyroids was suggestive of right inferior parathyroid adenoma. Histopathology of the resected right ovarian tumor was consistent with leydig cell tumor of ovary. Postoperatively serum testosterone and blood glucose levels were normalized, but PTH levels remained high. PTH levels were normalized after resection of parathyroid adenom

A NOVEL COST METRIC EVALUATION METHOD FOR ANOMALY DETECTION

In this paper we present “A Novel clustering algorithm” which is a partition based clustering algorithm that works well for data with mixed numeric and categorical features for classifying anomalous and normal activities in a computer network. The proposed method first partitions the training instances into k-clusters using dissimilarity measurement. On each cluster representing a density region of normal or anomaly instances we apply either of the two rules 1.Threshold rule 2. Bayes decision rule to obtain a final decision. We report our results of applying k-prototype clustering algorithm to the extensively gathered network audit data for the 1998 DARPA intrusion detection evaluation program

THE TIME SQUEEZE IN STANDERD WORK & TEXT ASSIMILATION TECHNIQUES ARE APPLIED TO CONDUCT SPONTANEOUS BUG FIXATION

Data reduction for bug sorting aims to construct a small-scale still as elegant set of bug information by means that of removal of bug reports and words, that are redundant as an alternative non-informative. In our work, existing strategies of Instance choice was combined with feature choice to scale back information scale on bug dimension still as word dimension. To avoid wasting labour price of developers, information reduction meant for bug sorting has 2 goals like reducing information scale and rising accurateness of bug sorting.  Our work provides An approach to leverage strategies on processing to make reduced still as high-quality bug information in computer code development still as maintenance. to search out order of applying instance choice still as feature choice, we tend to do away with attributes from historical bug information sets and a prognosticative model was thought of for a modern bug information set. Our information reduction will effectively decrease the information scale and find higher the accuracy of bug sorting

Evolution of Drainage in Response to Brittle - Ductile Dynamics and Surface Processes in Kachchh Rift Basin, Western India

The eastern part of Kachchh Rift basin was reactivated after 2001 Bhuj earthquake of Mw 7.7 and continuous seismicity has been recorded since then. The northern part of Wagad upland also experienced moderate earthquakes Mw ≥ 5.7 in February 2006 and March 2007. These moderate to major Intraplate earthquakes provide a unique opportunity to study the effects and linkage between brittle-ductile dynamics, surface processes and drainage evolution. We presented a geomorphological analysis of the Wagad highland providing new constraints on the evolution of river network. The shallow to deeper nature of fault and their response to development of hydrological networks has been analyzed using seismic tomography. Based on surface drainage offset and seismic structures several E-W oriented faults controlling fluvial dynamics are identified. From seismic structures and drainage offset it is clear that the fluvial dynamics is controlled by shallower to deeper faults. The estimated attributes are well supported with seismic structures and focal mechanisms solutions. Based on fluvial offset and seismic structure analysis a new tectonic model has been proposed for WH. The tectonic model shows that the faults WH are well connected at deeper level and generated negative flower structures and significantly controlling surface fluvial dynamics