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 smoke detection device includes a circuit board, an illumination light source, an optical detector and a smoke collector. The illumination light source is disposed on the circuit board and adapted to emit an illumination beam. The optical detector is disposed adjacent to the illumination light source and adapted to receive the illumination beam. The smoke collector is disposed on the circuit board to cover the illumination light source and the optical detector. The smoke collector includes a shelter, a lateral portion and a base portion. The base portion includes a plurality of protruding structures and a plurality of sunken structures alternately disposed adjacent to each other. Each of the plurality of protruding structures and a corresponding sunken structure are adapted to reflect a part of the illumination beam away from the optical detector and keeping a specific part of the illumination beam being received by the optical detector.

Abstract: Disclosed is the use of an Ixeris chinensis extract for delaying UV-induced skin photoaging, a method for preparing Ixeris chinensis extract, and an Ixeris chinensis extract. The preparation method involves preparing Ixeris chinensis coarse material and performing emulsification microwave extraction. The resulting Ixeris chinensis extract has a total flavonoid content of 30000-37000 ppm as measured by an aluminum chloride flavonoid method. This extract can absorb UV light, promote skin fibroblast activity, protect cells from UVA-induced oxidative and DNA damage, and reduce melanin production in cells, thereby preventing or delaying the UV-induced photoaging.

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 smoke detection device includes a circuit board, an illumination light source, an optical detector and a smoke collector. The illumination light source is disposed on the circuit board and adapted to emit an illumination beam. The optical detector is disposed adjacent to the illumination light source and adapted to receive the illumination beam. The smoke collector is disposed on the circuit board to cover the illumination light source and the optical detector. The smoke collector includes a shelter, a lateral portion and a base portion. The base portion includes a plurality of protruding structures and a plurality of sunken structures alternately disposed adjacent to each other. Each of the plurality of protruding structures and a corresponding sunken structure are adapted to reflect a part of the illumination beam away from the optical detector and keeping a specific part of the illumination beam being received by the optical detector.

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: There is provided an image sensor package including a substrate, a light source, a light sensor, a cover and a microstructure component. The light source and the light sensor are arranged on the substrate. The cover covers upon the substrate and has accommodation space for accommodating the light source and the light sensor. An upper surface of the cover has a recess. The microstructure component is arranged inside the recess to direct stray light toward a direction far from the light sensor.

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 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: 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.