Panasonic

About: Panasonic is a company organization based out in Kadoma, Ôsaka, Japan. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 49129 authors who have published 71118 publications receiving 942756 citations. The organization is also known as: Panasonikku Kabushiki-gaisha & Panasonic.

Master unit and slave unit

Abstract: Provided is a communication device which securely registers a slave unit. A secret address generation and setup section generates a secret address generator, and a secret address of the slave unit used temporarily instead of a unique address of the slave unit based on the secret address generator and identification information of the slave unit. A second communication section transmits to the slave unit a registration start notice containing the secret address generator by broadcast. A registration process section generates a registration authentication key; generates a unique key of the slave unit by transmitting/receiving, to/from the slave unit, unique key generation information encrypted using the registration authentication key; receives, from the slave unit, the unique address of the slave unit encrypted using the registration authentication key; and stores the identification information in association with the unique address and the unique key of the slave unit in the registration information storing section.

Contextualizing Object Detection and Classification

Abstract: We investigate how to iteratively and mutually boost object classification and detection performance by taking the outputs from one task as the context of the other one. While context models have been quite popular, previous works mainly concentrate on co-occurrence relationship within classes and few of them focus on contextualization from a top-down perspective, i.e. high-level task context. In this paper, our system adopts a new method for adaptive context modeling and iterative boosting. First, the contextualized support vector machine (Context-SVM) is proposed, where the context takes the role of dynamically adjusting the classification score based on the sample ambiguity, and thus the context-adaptive classifier is achieved. Then, an iterative training procedure is presented. In each step, Context-SVM, associated with the output context from one task (object classification or detection), is instantiated to boost the performance for the other task, whose augmented outputs are then further used to improve the former task by Context-SVM. The proposed solution is evaluated on the object classification and detection tasks of PASCAL Visual Object Classes Challenge (VOC) 2007, 2010 and SUN09 data sets, and achieves the state-of-the-art performance.

Where, When, and How mmWave is Used in 5G and Beyond

Abstract: Wireless engineers and business planners commonly raise the question on where, when, and how millimeter-wave (mmWave) will be used in 5G and beyond. Since the next generation network is not just a new radio access standard, but instead an integration of networks for vertical markets with diverse applications, answers to the question depend on scenarios and use cases to be deployed. This paper gives four 5G mmWave deployment examples and describes in chronological order the scenarios and use cases of their probable deployment, including expected system architectures and hardware prototypes. The paper starts with 28 GHz outdoor backhauling for fixed wireless access and moving hotspots, which will be demonstrated at the PyeongChang winter Olympic games in 2018. The second deployment example is a 60 GHz unlicensed indoor access system at the Tokyo-Narita airport, which is combined with Mobile Edge Computing (MEC) to enable ultra-high speed content download with low latency. The third example is mmWave mesh network to be used as a micro Radio Access Network ({\\mu}-RAN), for cost-effective backhauling of small-cell Base Stations (BSs) in dense urban scenarios. The last example is mmWave based Vehicular-to-Vehicular (V2V) and Vehicular-to-Everything (V2X) communications system, which enables automated driving by exchanging High Definition (HD) dynamic map information between cars and Roadside Units (RSUs). For 5G and beyond, mmWave and MEC will play important roles for a diverse set of applications that require both ultra-high data rate and low latency communications.

Apparatus for monitoring

Abstract: In a monitoring device, a camera controller controls each of cameras, a display controller controls at least one display to show thereon a picture taken by at least one of the cameras to be monitored by an operator and controls a picture recorder to record the picture therein, and a condition data recording controller controls a recording of at least one of a condition data of the at least one of the cameras while taking the picture and a condition data of the display while showing the picture, into a condition data memory device.

Generation and synthesis of prosody templates

Abstract: A method of separating high-level prosodic behavior from purely articulatory constraints so that timing information can be extracted from human speech is presented. The extracted timing information is used to construct duration templates that are employed for speech synthesis. The duration templates are constructed so that words exhibiting the same stress pattern will be assigned the same duration template. Initially, the words of input text segmented into phonemes and syllables, and the associated stress pattern is assigned. The stress assigned words are then assigned grouping features by a text grouping module. A phoneme cluster module groups the phonemes into phoneme pairs and single phonemes. A static duration associated with each phoneme pair and single phoneme is retrieved from a global static table. A normalization module generates a normalized syllable duration value based upon the retrieved static durations associated with the phonemes that comprise the syllable. The normalized syllable duration value is stored in a duration template based upon the grouping features associated with that syllable. To produce natural human-sounding prosody in synthesized speech, the duration information is then extracted from the selected template, de-normalized and applied to the phonemic information.