An intelligent sensor network is a distributed signal processing system, which consists of interacting nodes performing real-time data acquisition and signal processing. An overview of this system is presented in Fig.1. A node is basically a low-scale processing unit (a DSP or a microprocessor that performs digital signal processing) that processes discrete data from sensors via AD converters. ...

(Summary of Results) Abstract In this paper, we summarize our results in paralleliz-ing the linear approximation step on current distributed memory machines. We rst analyze the features of current distributed memory machines and the problem characteristics to understand the overheads in parallel solutions to the problem. Based on these, we propose an asynchronous algorithm which enhances proces...

We present a quantitative overhead analysis for effective task migration in biosensor networks. A biosensor network is the key technology which can automatically provide accurate and specific parameters of a human in real time. Biosensor nodes are typically very small devices, so the use of computing resources is restricted. Due to the limitation of nodes, the biosensor network is vulnerable to...

A potential source of pathogenic bacteria in ground beef is the lymphatic system, specifically the lymph nodes. Bacteria have been isolated from the lymph nodes of cattle at slaughter; however, most studies have dealt with mesenteric lymph nodes, which are not normally incorporated into ground beef. The objective of the current study was to determine the prevalence and multidrug-resistance stat...

To exploit in answering queries generated by the sink for the sensor networks, we propose an efficient routing protocol called energy-efficient dynamic routing tree (EDRT) algorithm. The idea of EDRT is to maximize in-network processing opportunities using the parent nodes and sibling nodes. Innetwork processing reduces the number of message transmission by partially aggregating results of an a...

In this paper, we present a fast parallel implementation of linear feature extraction on IBM SP-2. We rst analyze the machine features and the problem characteristics to understand the overheads in parallel solutions to the problem. Based on these, we propose an asynchronous algorithm which enhances processor utilization and overlaps communication with computation by maintaining algorithmic thr...

In this work we address the issue of efficient processing of range queries in DHT-based P2P data networks. The novelty of the proposed approach lies on architectures, algorithms, and mechanisms for identifying and appropriately exploiting powerful nodes in such networks. The existence of such nodes has been well documented in the literature and plays a key role in the architecture of most succe...

we report a case of a 68-year-old female who was a known case of diabetes mellitus and chronic liver disease and presented with complaints of dry cough and other constitutional symptoms since one month. during initial investigations, the patient was found to have peripheral blood eosinophilia. upon investigating further,the patient was found to have mediastinal lymphadenopathy and fine-needle a...

Wireless sensor networks are embedded networks that are highly restricted to energy, bandwidth and processing power. Even though wireless sensor networks operate with limited resources, sensor nodes are required to do more functions compared to nodes in other data networks. Sensor nodes work as both hosts for processing sensed data and routers for forwarding packets. To decrease such a workload...

Big Data Management Systems usually manage each machine as one node in parallel query processing pipeline. In multi-core architectures, they leave several processor cores aside that could contribute to speed-up query processing. In this context, this paper explores the use of all available processor cores, assessing the query processing performance in several scenarios. In particular, we use th...