Global Shipping Container Monitoring Using Machine Learning with Multi-Sensor Hubs and Catadioptric Imaging

We describe a framework for global shipping container monitoring using machine learning with multi-sensor hubs and infrared catadioptric imaging. A wireless mesh radio satellite tag architecture provides connectivity anywhere in the world which is a significant improvement to legacy methods. We discuss the design and testing of a low-cost long-wave infrared catadioptric imaging device and multi-sensor hub combination as an intelligent edge computing system that, when equipped with physics-based machine learning algorithms, can interpret the scene inside a shipping container to make efficient use of expensive communications bandwidth. The histogram of oriented gradients and T-channel (HOG+) feature as introduced for human detection on low-resolution infrared catadioptric images is shown to be effective for various mirror shapes designed to give wide volume coverage with controlled distortion. Initial results for through-metal communication with ultrasonic guided waves show promise using the Dynamic Wavelet Fingerprint Technique (DWFT) to identify Lamb waves in a complicated ultrasonic signal

Long-Wave Infrared Digital Holography

peer reviewe

Performance analysis for wireless G (IEEE 802.11G) and wireless N (IEEE 802.11N) in outdoor environment

This paper described an analysis the different capabilities and limitation of both IEEE technologies that has been utilized for data transmission directed to mobile device. In this work, we have compared an IEEE 802.11/g/n outdoor environment to know what technology is better. The comparison consider on coverage area (mobility), throughput and measuring the interferences. The work presented here is to help the researchers to select the best technology depending of their deploying case, and investigate the best variant for outdoor. The tool used is Iperf software which is to measure the data transmission performance of IEEE 802.11n and IEEE 802.11g

Performance Analysis For Wireless G (IEEE 802.11 G) And Wireless N (IEEE 802.11 N) In Outdoor Environment

This paper described an analysis the different capabilities and limitation of both IEEE technologies that has been utilized for data transmission directed to mobile device. In this work, we have compared an IEEE 802.11/g/n outdoor environment to know what technology is better. the comparison consider on coverage area (mobility), through put and measuring the interferences. The work presented here is to help the researchers to select the best technology depending of their deploying case, and investigate the best variant for outdoor. The tool used is Iperf software which is to measure the data transmission performance of IEEE 802.11n and IEEE 802.11g

Reports to the President

A compilation of annual reports for the 1999-2000 academic year, including a report from the President of the Massachusetts Institute of Technology, as well as reports from the academic and administrative units of the Institute. The reports outline the year's goals, accomplishments, honors and awards, and future plans

A Handling Management System for Freight with Process Algebra

研究成果の概要(和文): 本研究では,物流システムに対する貨物の取扱いの形式的な監視を目的として, 物流システムをプロセス代数を用いてモデル化する方法の確立,及び貨物の移動が正しく行われているかを監視するシステムの開発を行った. モデル化のための記述方法の定式化においては, 既存のプロセス代数を拡張し, 物流システムのモデル化に特化した多重AmbientCalculusを提案した. これにより物流システムの持つ階層構造,並列性などが適切に表現できるようになった. さらに, 物流システムをモデル化した式と, UHF帯RFID機器を用いて検知した貨物の移動を対比させることにより取扱いの監視を行うシステムを構築した. 研究成果の概要(英文): We have proposed a way of modeling freight system with a process algebra and constructed a handling management system for freights in order to establish a formal way to supervise how containers are treated during shipping. The Multiple Ambient Calculus(MAC) is a kind of process algebra which we have proposed to model fright systems for accurately describing nested structure and concurrency of fright systems. We also have constructed a handling management system that can supervise the treatment of containers by sensing movement of them using UHF RFID devices and comparing the movement to the model written in MAC recorded in RFID tags on the containers.研究種目：基盤研究(C); 研究期間：2011～2013; 課題番号：23500104; 研究分野：総合領域; 科研費の分科・細目：情報学・計算機システム・ネットワー