Abstract: In example embodiments, techniques are provided for integrating pieces of heavy equipment into a virtual construction modeling workflow by including representations of the pieces of the heavy equipment in a 3D environment of a virtual construction model, evaluating capabilities and clashes in the context of the 3D environment, and adding descriptions of the pieces of heavy equipment and operational details to work packages. Each piece of heavy equipment is associated with a unique ID, an effective range (e.g., lifting radius) and other parameters. Using a client the user links the piece of heavy equipment to one or more work packages by associating its unique ID with the work package. The work package is associated with a physical extent in the virtual construction model which falls within the effective range of the equipment. Operational details (e.g., scheduling, cost, usage rates, maintenance, etc.) are defined in connection with the work package.

Abstract: In one embodiment, a modeling process adds unique numbers for field welds or flange bolt-up connections to a virtual construction model of an infrastructure construction project. Based on the virtual construction model and a fabrication data file that describes a portion of the infrastructure construction project, a QC drawing generation process generates a QC drawing for the portion of the infrastructure construction project that includes balloons linked to locations of field welds or flange bolt-up connections, each balloon including the unique number of a corresponding field weld or flange bolt-up connection. A copy of the QC drawing is provided to a field inspection worker. Subsequently, a marked-up copy of the QC drawing is received back that includes field inspection results associated with the unique number of each field weld or flange bolt-up connection. The marked-up copy may be maintained in a document control system.

Abstract: In one embodiment, a modeling process adds unique numbers for field welds or flange bolt-up connections to a virtual construction model of an infrastructure construction project. Based on the virtual construction model and a fabrication data file that describes a portion of the infrastructure construction project, a QC drawing generation process generates a QC drawing for the portion of the infrastructure construction project that includes balloons linked to locations of field welds or flange bolt-up connections, each balloon including the unique number of a corresponding field weld or flange bolt-up connection. A copy of the QC drawing is provided to a field inspection worker. Subsequently, a marked-up copy of the QC drawing is received back that includes field inspection results associated with the unique number of each field weld or flange bolt-up connection. The marked-up copy may be maintained in a document control system.

Abstract: A system and method of knee-ACL support breeches for supporting the knees against non-contact anterior cruciate ligament (ACL) injuries, without interfering in desired movement, by resisting anterior translation of the proximal end of the tibia, thereby reducing stress on the ACL and other knee components. A pair of calibrated-elastic bands are attached at one end to a belt about the waist and at the other end to a strap around each lower knee. The calibrated-elastic bands are incorporated into a pair of breeches or pants which hold the bands tightly against the buttocks and backs of the thighs.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating a shuffled image that encodes a challenge text, the generating comprising: generating an initial image encoding the challenge text; dividing the initial image into image portions; and generating the shuffled image as a shuffled arrangement of the image portions; generating decoding information for revealing the challenge text encoded in the shuffled image; transmitting the shuffled image and the decoding information to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating a shuffled image that encodes a challenge text, the generating comprising: generating an initial image encoding the challenge text; dividing the initial image into image portions; and generating the shuffled image as a shuffled arrangement of the image portions; generating decoding information for revealing the challenge text encoded in the shuffled image; transmitting the shuffled image and the decoding information to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; transmitting software code and location information to the device, wherein the location information specifies a plurality of locations encoding a visual representation of a challenge text, and wherein the software code, when executed by an Internet browser, causes a plurality of graphical elements to be displayed at the plurality of locations in a webpage so that the webpage displays the challenge text; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating an image that encodes a challenge text, the image comprising data stored in a plurality of channels including a transparency channel, the generating comprising: generating decoding information representing the challenge text; and storing the decoding information in the transparency channel of the image; transmitting, via the at least one network, the generated image to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.