Abstract: Devices and systems can be used to enhance warehouse material handling operations. For example, this document describes pallet stands that make material handling processes more safe and efficient. In some embodiments, a pallet stand described herein includes a structure comprising a top configured for a pallet to rest on and a pedestal arranged to elevate the structure above a floor. The pedestal has an outer size that is less than the width of the top structure and less than the length of the top structure.

Abstract: Devices and systems can be used to enhance warehouse material handling operations. For example, this document describes pallet stands that make material handling processes more safe and efficient. In some embodiments, a pallet stand described herein includes a structure comprising a top configured for a pallet to rest on and a pedestal arranged to elevate the structure above a floor. The pedestal has an outer size that is less than the width of the top structure and less than the length of the top structure.

Abstract: Systems and methods are provided for utilizing a bidirectional intermediate data transport layer to connect multiple customers to a shared, cloud-based AIOps service. As a feature of the intermediate data transport layer, each customer (and their data) may be isolated from other customers. In various examples, the cloud-based AIOps service may receive sensor data from customer systems via the intermediate data transport layer. The cloud-based AIOps service may analyze this sensor data (e.g. detect anomalies, perform root cause analyses, find optimal conditions, etc.), and modify the operation of one or more of the customer systems (e.g. modify the settings/configuration of a sensor on a piece of connected infrastructure) via the intermediate data transport layer. In certain examples, in addition to (or instead of) modifying the operation of one or more of the customer systems, the cloud-based AIOps service may provide an on-premises notification to a customer.

Abstract: Systems and methods are provided for improving statistical and machine learning drift detection models that monitor computing health of a data center environment. For example, the system can receive streams of sensor data from a plurality of sensors in a data center; clean the streams of sensor data; generate, using a machine learning (ML) model, an anomaly score and a dynamic threshold value based on the cleaned streams of sensor data; determine, using the ML model and based on the anomaly score and the dynamic threshold value, a correctness indicator for a first sensor in the plurality of sensors; and using the correctness indicator, correct the first sensor.

Abstract: A hugger apparatus for lifting a load generally includes a plurality of arms including a first arm and a second arm respectively attached to a first plate and a second plate. An offset hydraulic arrangement is provided, which includes first and second hydraulic bars. The offset hydraulic arrangement connects to and engages the first plate and second plate so as to respectively move the first and second arms into extended or retracted positions for engaging with and lifting and moving a load.

Abstract: A tamper evident ear tag system for preventing reattachment of an ear tag to a second animal that was removed from a first animal. The tamper evident ear tag system includes an attachment member that is permanently inserted into a receiving member wherein the receiving member is attached to an ear tag. The attachment member is comprised of a main shaft, a flanged portion, and a spiked end that is inserted into the receiving member. The receiving member includes a first opening that extending inwardly within an inner flange for catchably receiving the spiked end of the attachment member.

Abstract: A tamper evident ear tag system for preventing reattachment of an ear tag to a second animal that was removed from a first animal. The tamper evident ear tag system includes an attachment member that is permanently inserted into a receiving member wherein the receiving member is attached to an ear tag. The attachment member is comprised of a main shaft, a flanged portion, and a spiked end that is inserted into the receiving member. The receiving member includes a first opening that extending inwardly within an inner flange for catchably receiving the spiked end of the attachment member.

Abstract: A tamper proof ear tag system for preventing reattachment of an ear tag to a second animal that was removed from a first animal. The tamper proof ear tag system includes an attachment member that is permanently inserted into a receiving member wherein the receiving member is attached to an ear tag. The attachment member is comprised of a main shaft, a flanged portion, and a spiked end that is inserted into the receiving member. The receiving member includes a first opening that extending inwardly within an inner flange for catchably receiving the spiked end of the attachment member.

Abstract: An animal tag system for easily securing a tag upon an animal's ear by piercing the ear for reducing the chance of infection and removal. The tag system includes a tag member having a broad portion and a narrow portion, an extended member extending from the narrow portion, and a tip member attached orthogonally to the extended member opposite of the tag member wherein the tip member is insertable into the ear of an animal. The tip member is comprised of a shaft member having a spiked end and open end exposing a center bore within. The tip member further includes a flanged portion about the spiked end for expanding the hole pierced into the ear by the spiked end thereby allowing the extended member and the tip member to pass through in a substantially parallel position. The tip member becomes orthogonal to the extended member after insertion thereby preventing removal of the tag from the ear through the pierced opening within the ear of the animal.