Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A wireless power-charging module is provided, including a magnetic core, a coil, and a magnetic element, wherein a gap is formed between the magnetic core and the coil. The coil and the magnetic element are disposed on the surface of the magnetic core, wherein the magnetic element is disposed between the gap between the magnetic core and the coil.

Abstract: The present invention provides an information security incident diagnosis system for assisting in detecting whether a target network system has been hacked. First, a plurality of activities records of one or more computing devices in a target network system are collected. Then, a discrete space metric tree is generated according to the plurality of activities records, and a clustering operation is performed on the discrete space metric tree to generate one or more event clusters associated with one or more suspicious event categories. Each event cluster may form a guide tree corresponding to the event cluster through single linkage clustering analysis to indicate a merging order from high to low similarity. The merging order is used for recursively performing a graph generating operation to convert a plurality of activities records corresponding to the one or more event clusters into a hierarchical directed acyclic graph (HDAG).

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: The present invention provides an event visualization device configured to generate one or more directed acyclic graphs (DAGs) that can be used as a basis for diagnosing whether a target network system has been hacked according to a plurality of activities records. The plurality of activities records pertain to an event cluster associated with a suspicious event category. The event visualization device performs a graph generating operation on the plurality of activities records in a recursive manner to generate a hierarchical directed acyclic graph (HDAG). The graph generating operation includes: interpreting an activities record into a target DAG, and performing a hierarchical partial order alignment (HPOA) operation on the target DAG and a reference DAG to obtain a merging condition of each node; and merging the target DAG and the reference DAG into the HDAG according to the merging condition.

Abstract: The present invention provides a log classification system configured to perform a hierarchical similarity analysis operation according to a plurality of activities records to generate a discrete space metric tree, and perform a clustering operation on the discrete space metric tree to generate one or more event clusters associated with one or more suspicious event categories. The log classification system includes an output device configured to output the one or more event clusters to an information security incident diagnosis system, and allow the information security incident diagnosis system to calculate similar feature information and differential feature information of a plurality of activities records in the one or more event clusters as auxiliary information for diagnosing whether there are intrusions or abnormalities in a target network system.

Abstract: A method for predicting an attacked path on enterprise networks includes: obtaining a plurality of accounts, a plurality of machines and network resource data, where the plurality of machines include at least one attacked target; calculating, according to the network resource data, a plurality of evaluated values of executing access on other machines of each account logging in at least one machine; and presenting an attacked path where a machine at least one account logs in accesses the attacked target directly, or indirectly by connecting to other machines, and the machine the at least one account logs in points to the attacked target directly, or indirectly by connecting to other machines.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: The present invention provides a log classification system configured to perform a hierarchical similarity analysis operation according to a plurality of activities records to generate a discrete space metric tree, and perform a clustering operation on the discrete space metric tree to generate one or more event clusters associated with one or more suspicious event categories. The log classification system includes an output device configured to output the one or more event clusters to an information security incident diagnosis system, and allow the information security incident diagnosis system to calculate similar feature information and differential feature information of a plurality of activities records in the one or more event clusters as auxiliary information for diagnosing whether there are intrusions or abnormalities in a target network system.

Abstract: The present invention provides an event visualization device configured to generate one or more directed acyclic graphs (DAGs) that can be used as a basis for diagnosing whether a target network system has been hacked according to a plurality of activities records. The plurality of activities records pertain to an event cluster associated with a suspicious event category. The event visualization device performs a graph generating operation on the plurality of activities records in a recursive manner to generate a hierarchical directed acyclic graph (HDAG). The graph generating operation includes: interpreting an activities record into a target DAG, and performing a hierarchical partial order alignment (HPOA) operation on the target DAG and a reference DAG to obtain a merging condition of each node; and merging the target DAG and the reference DAG into the HDAG according to the merging condition.

Abstract: The present invention provides an information security incident diagnosis system for assisting in detecting whether a target network system has been hacked. First, a plurality of activities records of one or more computing devices in a target network system are collected. Then, a discrete space metric tree is generated according to the plurality of activities records, and a clustering operation is performed on the discrete space metric tree to generate one or more event clusters associated with one or more suspicious event categories. Each event cluster may form a guide tree corresponding to the event cluster through single linkage clustering analysis to indicate a merging order from high to low similarity. The merging order is used for recursively performing a graph generating operation to convert a plurality of activities records corresponding to the one or more event clusters into a hierarchical directed acyclic graph (HDAG).

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: A tracking device including an image sensor, a light source and a processor is provided. The image sensor senses reflected light or scattered light formed by the light source illuminating a work surface. The processor calculates a trace of the tracking device according to one of the reflected light and the scattered light that generates more apparent image features so as to increase the adaptable work surfaces.

Abstract: The disclosure is related to a sensor module, a sensor unit and a system for recognizing surrounding objects and defining an environment. The sensor module is installed in a sensor unit. The sensor module includes an optical element guiding the lights from the objects surrounding the sensor unit and to an image sensor, and the image sensor is used to sense the lights from the objects. The light can be directly from a light source inside the surrounding object or reflected by the object surface. The objects can be identified according to optical features obtained by the image sensor from surfaces of the objects. When the image sensor receives the two lights, guided by the optical element, and reads optical features being regarded as the unique IDs to identify the objects respectively. Therefore, an environment around the sensor unit can be defined.

Abstract: The disclosure is related to a sensor module, a sensor unit and a system for recognizing surrounding objects and defining an environment. The sensor module is installed in a sensor unit. The sensor module includes an optical element guiding the lights from the objects surrounding the sensor unit and to an image sensor, and the image sensor is used to sense the lights from the objects. The light can be directly from a light source inside the surrounding object or reflected by the object surface. The objects can be identified according to optical features obtained by the image sensor from surfaces of the objects. When the image sensor receives the two lights, guided by the optical element, and reads optical features being regarded as the unique IDs to identify the objects respectively. Therefore, an environment around the sensor unit can be defined.