Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: Various systems and methods are presented regarding utilizing a centralized knowledge base to analyze various data inputs pertaining to current/future operation of a process, identify prior data pertaining to the current data inputs, identify potential issues, and further provide solutions/recommendations to address the potential issues, as well as responding to the data inputs. Data inputs can be an operator query, current process operation data, HACCP/FMEA data, work instructions, and suchlike. Data can be processed, e.g., vectorized, to enable similarity comparison between the input data and the historical data present in the knowledge base.

Abstract: Various systems and methods are presented regarding utilizing a centralized knowledge base to analyze various data inputs pertaining to current/future operation of a process, identify prior data pertaining to the current data inputs, identify potential issues, and further provide solutions/recommendations to address the potential issues, as well as responding to the data inputs. Data inputs can be an operator query, current process operation data, HACCP/FMEA data, work instructions, and suchlike. Data can be processed, e.g., vectorized, to enable similarity comparison between the input data and the historical data present in the knowledge base.

Abstract: Various systems and methods are presented regarding utilizing a centralized knowledge base to analyze various data inputs pertaining to current/future operation of a process, identify prior data pertaining to the current data inputs, identify potential issues, and further provide solutions/recommendations to address the potential issues, as well as responding to the data inputs. Data inputs can be an operator query, current process operation data, HACCP/FMEA data, work instructions, and suchlike. Data can be processed, e.g., vectorized, to enable similarity comparison between the input data and the historical data present in the knowledge base.

Abstract: The present system uses dynamic assignment of key codes to select options of response content in request messages prior to transmission from an application server to a communication device. Dynamic assignment of key codes to selection options can occur according to a list of key codes having a predefined order also known as a predefined key code series. A key code series could be ordered according to ergonomic considerations or other considerations such as according to an alphabetic or numeric ordering. Communication occurs between one or more server applications running on an application server and a particular communication device, such as a cell phone. Dynamic key code assignment addresses problems raised when one communication device is concurrently carrying on more than one session with one or more server applications since the communication device identifier, such as a phone number, will be the same for all sessions.

Abstract: The present system uses dynamic assignment of key codes to select options of response content in request messages prior to transmission from an application server to a communication device. Dynamic assignment of key codes to selection options can occur according to a list of key codes having a predefined order also known as a predefined key code series. A key code series could be ordered according to ergonomic considerations or other considerations such as according to an alphabetic or numeric ordering. Communication occurs between one or more server applications running on an application server and a particular communication device, such as a cell phone. Dynamic key code assignment addresses problems raised when one communication device is concurrently carrying on more than one session with one or more server applications since the communication device identifier, such as a phone number, will be the same for all sessions.

Abstract: The present system uses dynamic assignment of key codes to select options of response content in request messages prior to transmission from an application server to a communication device. Dynamic assignment of key codes to selection options can occur according to a list of key codes having a predefined order also known as a predefined key code series. A key code series could be ordered according to ergonomic considerations or other considerations such as according to an alphabetic or numeric ordering. Communication occurs between one or more server applications running on an application server and a particular communication device, such as a cell phone. Dynamic key code assignment addresses problems raised when one communication device is concurrently carrying on more than one session with one or more server applications since the communication device identifier, such as a phone number, will be the same for all sessions.

Abstract: The present system uses dynamic assignment of key codes to select options of response content in request messages prior to transmission from an application server to a communication device. Dynamic assignment of key codes to selection options can occur according to a list of key codes having a predefined order also known as a predefined key code series. A key code series could be ordered according to ergonomic considerations or other considerations such as according to an alphabetic or numeric ordering. Communication occurs between one or more server applications running on an application server and a particular communication device, such as a cell phone. Dynamic key code assignment addresses problems raised when one communication device is concurrently carrying on more than one session with one or more server applications since the communication device identifier, such as a phone number, will be the same for all sessions.

Abstract: An implantable defibrillator generates defibrillation shocks for providing antitachycardia therapy. The shocks have an intensity, i.e. amplitude and/or duration, which is dynamically changed in accordance with whether defibrillation shocks having a particular intensity are successful or not. In this manner, changes either in the cardiac condition or the interface between the defibrillation electrodes and the cardiac tissues, or other causes which may have an effect on the effectiveness of the defibrillation shocks.

Abstract: A method, useable in implantable cardioverter defibrillators, for classifying heart rhythms of a patient by means of electrogram morphology. A number of features (metrics) of the electrogram are measured to form a description of the shape of individual electrograms, and the metrics are then converted into a cardiac rhythm diagnosis by means of a pattern classification technique.

Abstract: An implantable dual chamber ICD and method senses atrial (A-A) and ventricular (V-V) intervals, calculates the ratio (A/V interval ratio) of A-A intervals to V-V intervals, classifies heart rhythms with V-V intervals (i) above a revert rate threshold as not tachycardia, (ii) below a high rate threshold as treatable tachycardia, (iii) between the two thresholds and below an A-dominant A/V interval ratio threshold as a non-treatable tachycardia, (iv) between the revert rate threshold and the high rate threshold and above a V-dominant threshold as treatable tachycardia and, when the heart rhythm is intermediate all four thresholds, (v) utilizes one or a combination of advanced discriminators (e.g., ventricular windowing, ventricular interval variability, sudden onset, AV-delay creep, ventricular electrogram morphology, active sensing, minute ventilation, or right ventricular pressure) to classify whether the heart rhythm is a non-treatable or a treatable tachycardia.

Abstract: A leak alarm system monitors the wetness of a floor. The alarm system comprises a housing having a flat bottom surface and support feet for supporting the housing off the floor such that each one of the support feet is in contact with the floor. Each support foot comprises an electrode of the alarm system. A low resistance condition between two electrodes of opposite polarity, such as occurs in the presence of a water leak, activates the alarm.