The purpose of this research was develop a biological nutrient removal (BNR) system which has low energy consumption, sludge production, and land usage. These indicate that BNR system could be a alternative of future wastewater treatment in ubiquitous city(U-city). Organics and nitrogen compounds could be removed by this system so that secondary or tertiary stages of wastewater treatment satisf...

Kobe City is a metropolis including large suburbs, where housing communities have been developed for many years. People have been recently moving to the urban areas and the suburbs are losing their power to attract population. At the same time, many blocks of high-rise flats have being built near railway stations adjoining town centers, and are drawing people of all generations. Residents with ...

The primal problem with Internet of Things (IoT) solutions for smart cities is the lack of interoperability at various levels, and more predominately at the device level. While there exist multitude of platforms from multiple manufacturers, the existing ecosystem still remains highly closed. In this paper, we propose SNaaS or Sensor/Network as a Service: a service layer that enables the creatio...

This document describe some of the most important aspects of the living lab proposal for a smart territory, our proposal include the development of a solution for both city and rural areas, we depict some efforts already available in rural and city and make a proposal to integrate a solution which combine several problems shared by cities and rural areas. Our proposal is based on a model that p...

Vehicular Area Network is one of the critical public area networks that combine the functioning of the mobile and sensor network. This network is based on scenario based constraint setting. In this work an effective zone based analysis approach is suggested for route generation in City Scenario. The paper has setup the communication between the V2I and I2I to identify the effective route over t...

Keyword extraction attracts much attention for its significant role in various natural language processing tasks. While some existing methods for keyword extraction have considered using single type of semantic relatedness between words or inherent attributes of words, almost all of them ignore two important issues: 1) how to fuse multiple types of semantic relations between words into a unifor...

In this paper, we present a novel mobility model, called the Scalable Mobility Modeling Tool (SMMT), which is based around a scaleable algorithmic mobility model that can be applied to a large number of possible horizontal environments, from wide area networks (WAN) to local areas networks (LAN), to analyze the issues related to mobility management and radio resource management. The SMMT introd...