HCL Technologies Ltd

Delhi, India

HCL Technologies Ltd

Delhi, India
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The present disclosure relates to system(s) and method(s) for scheduling and tracking of goods in a transportation network is illustrated. The method may comprise capturing goods data associated with goods received at a terminal and categorizing the goods into a plurality of sets of goods based on the goods data. The method may further comprise maintaining Unit loading device (ULD) data. The method may further comprise identifying a sub-set of Unit loading devices (ULDs), from a set of ULDs, with allocation status as null. The method may further comprise assigning a ULD from the sub-set of ULDs to a set of goods of the plurality of sets of goods, based upon goods data and ULD data. The method may further comprise scheduling the ULD for loading the set of goods based on the goods data and tracking a current location of the set of goods based on the ULD data.


Patent
HCL Technologies Ltd | Date: 2017-01-05

Disclosed are systems and methods for optimizing power consumption of devices. The system includes monitoring module, generating module, matching module, determining module, and identifying module. The monitoring module monitors a device including program code which further includes power consuming functions. The generating module generates plurality of power patterns corresponding to the power consuming functions. The matching module matches the plurality of power patterns with pre-stored plurality of power patterns to identify one or more power patterns having maximum peak value. The determining module determines occurrence of the one or more power patterns for predefined time interval. The identifying module identifies a power consuming function corresponding to a power pattern based on the occurrence. The generating module generates recommendation for the power consuming function by suggesting changes in a code section of the power consuming function.


The present subject matter discloses system and method for computing criticality metric of a unit of source code in software program. The system includes determining module, applying module, and computing module. The determining module determines a logical criticality of the unit of source code, based on one or more factors associated with the unit of source code, by using a natural language processing (NLP) algorithm. Further, the applying module may apply a Bayesian network model on plurality of parameters, including the logical criticality, in order to assign weight to each of the plurality of parameters, and to determine level of dependency between each parameter and at least one other parameter of the plurality of parameters. Further, the computing module computes a criticality metric of the unit of source code based on the weight and the level of dependency associated to each parameter.


Patent
HCL Technologies Ltd | Date: 2016-04-06

The present disclosure discloses system and method for facilitating avoiding of human errors in human error detection environment. At first, a plurality of configurations corresponding to a plurality of machines may be received. Further, a plurality of scripts may be configured corresponding to the plurality of machines based on the plurality of configurations. Further, a script, of the plurality of scripts, may be executed on a machine, of the plurality of machines. Based on the executing of the script, a message and a graphical user interface (GUI) may be displayed on the machines. Further, the message and the GUI may be customized based on the configuration of the machine. Further, the customized message and the GUI guide the user interacting with the machine to avoid the human errors.


The present subject matter discloses system and method for generating an automated customized report in service delivery environment. Data is received from plurality of sources, wherein the data is associated to a plurality of activities being performed corresponding to one or more services defined by a service level agreement (SLA). Subset of data is fetched, from the data, corresponding to a set of activities. Further, one or more metrics is computed based on the subset of data. Further, the system analyze whether the set of activities are complying with the SLA based on the one or more metrics computed. Further, a report is generated based on the aforementioned analysis. The report generated is customized in a predefined format defined as per the SLA. The report generated is transmitted to a plurality of devices, of a plurality of concerned members, associated with the report.


The present disclosure relates to system(s) and method(s) for reducing eye strain of a user viewing a display is illustrated. The system is configured for monitoring eyes of a user operating the display to capture gaze data of the user and analyzing the gaze data to determine an eye blink rate and an eye movement rate. Once the gaze data is analyzed, in the next step, the system is configured for determining abnormality in the eyes using a normal eye blink threshold range and a normal eye movement threshold range. Further, the method comprises recommending to the user, over the display, one or more eye blinking exercises or eye movement exercises based on the abnormality in the eyes, thereby facilitating reduction of eyestrain of the user.


Disclosed is a method and system for providing a resolution to a ticket in an lean information technology framework. In one implementation the method comprises configuring a activity complexity database based on a plurality of low complexity activities identified across industry segments and technology tracks in an information technology framework. Further, receiving a ticket for resolution from a customer in the information technology framework, wherein the ticket comprises an issue, an error and a problem. Furthermore, classifying ticket as a low complexity activity or a non-low complexity activity based on a comparison of the ticket with the plurality of low complexity activities stored in the activity complexity database. Subsequently, assigning the ticket classified as the low complexity activity to a low complexity ticket team for providing a resolution to the ticket in the information technology framework, wherein the low complexity ticket team is one of a cross functional and cross technology team.


Disclosed is a system for real-time tracking of status associated with shipment of a plurality of consignments. An input file upload module uploads an input file comprising details of one or more parameters associated to each of a plurality of consignments. An address determining module determines an address of a carrier website corresponding to each of the plurality of consignments. The address may be determined based on a prefix number concatenated with the unique identification number. A communication module communicates, in real-time with the carrier website via the address in order to extract shipment status of each of the plurality of consignments. A collating module collates the shipment status corresponding to each of the plurality of consignments. A display module displays the shipment status collated in a pre-defined format to a user thereby facilitating the real-time tracking of status associated with shipment of the plurality of consignments.


Patent
HCL Technologies Ltd | Date: 2016-02-24

Disclosed is a system and method for facilitating optimization of space in a warehouse. A data capturing module captures dimension data associated to zero or more objects present in a pallet of a plurality of pallets of a pallet rack present in a warehouse. A surface space computation module computes empty surface space in the pallet based on the dimension data and a predefined pallet dimension data associated with the pallet. The surface space computation module further determines whether the empty surface space, in the pallet, is greater or less than a predefined threshold value. A data transmission module transmits data to an external system communicatively coupled with the IoT device, the data indicating the empty surface space, in the pallet, being greater or less than the predefined threshold value thereby facilitating a user to optimize the space in the pallet of the pallet rack present in the warehouse.


The present disclosure discloses system and method for evaluating a human resource in a software development environment. At first, historical performance data and profile data associated with a plurality of human resources involved in a software project is received. From such data (historical performance data and profile data), a plurality of attributes is extracted. Further, Bayesian classification technique is implemented on the plurality of attributes in order to classify the plurality of attributes, of each human resource, into a plurality of classes. The plurality of attributes are classified in such a manner that at least one attribute corresponding to at least one human resource and at least one other human resource is classified into a class and another class respectively. Further, based on the classification of each attribute associated with the human resource, a grade is assigned to the human resource.

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