International Conference on Information and Communication Technologies 

About: International Conference on Information and Communication Technologies is an academic conference. The conference publishes majorly in the area(s): The Internet & Feature extraction. Over the lifetime, 2621 publications have been published by the conference receiving 18328 citations.

Analyzing a Enhancing energy Efficient Communication Protocol for Wireless Micro-sensor Networks

Abstract: The paper presents an analysis of energy efficient routing protocols with direct communication protocol. A comparison of these protocols is made analyzing energy consumption at each node and explaining system lifetime after certain rounds. The paper also proposes a novel energy conscious cluster head selection algorithm for making system more reliable and efficient. Simulation shows that our proposed algorithm enhances the system reliability and accuracy.

A Smart and Passive Floor-Vibration Based Fall Detector for Elderly

Abstract: Falls are very prevalent among the elderly. They are the second leading cause of unintentional-injury death for people of all ages and the leading cause of death for elders 79 years and older. Studies have shown that the medical outcome of a fall is largely dependent upon the response and rescue time. Hence, a highly accurate automatic fall detector is an important component of the living setting for older adult to expedite and improve the medical care provided to this population. Though there are several kinds of fall detectors currently available, they suffer from various drawbacks. Some of them are intrusive while others require the user to wear and activate the devices, and hence may fail in the event of user non-compliance. This paper describes the working principle and the design of a floor vibration-based fall detector that is completely passive and unobtrusive to the resident. The detector was designed to overcome some of the common drawbacks of the earlier fall detectors. The performance of the detector is evaluated by conducting controlled laboratory tests using anthropomorphic dummies. The results showed 100% fall detection rate with minimum potential for false alarms

A Performance Comparison of Data Encryption Algorithms

Abstract: The principal goal guiding the design of any encryption algorithm must be security against unauthorized attacks. However, for all practical applications, performance and the cost of implementation are also important concerns. A data encryption algorithm would not be of much use if it is secure enough but slow in performance because it is a common practice to embed encryption algorithms in other applications such as e-commerce, banking, and online transaction processing applications. Embedding of encryption algorithms in other applications also precludes a hardware implementation, and is thus a major cause of degraded overall performance of the system. In this paper, the four of the popular secret key encryption algorithms, i.e., DES, 3DES, AES (Rijndael), and the Blowfish have been implemented, and their performance is compared by encrypting input files of varying contents and sizes, on different Hardware platforms. The algorithms have been implemented in a uniform language, using their standard specifications, to allow a fair comparison of execution speeds. The performance results have been summarized and a conclusion has been presented. Based on the experiments, it has been concluded that the Blowfish is the best performing algorithm among the algorithms chosen for implementation.

Drivers of Precision Agriculture Technologies Adoption: A Literature Review

Abstract: In this review, we identify the key drivers that affect the intention to adopt Precision Agriculture (PA) technologies. Research articles concerning the adoption of PA were collected and subdivided into two groups: (1) ex-post assessments that make use of utility-based models, and (2) ex-ante assessments that make use of predictive models. Principal classes of constructs were identified and utilized to interpret what factors promoted the use of PA technologies by farmers. Three classes of drivers influencing PA adoption are presented. This review confirms the necessity to focus on the design of an appropriated adoption process and on innovation's features.

The MobiAct Dataset: Recognition of Activities of Daily Living using Smartphones

Abstract: The use of smartphones for human activity recognition has become popular due to the wide adoption of smartphones and their rich sensing features. This article introduces a benchmark dataset, the MobiAct dataset, for smartphone-based human activity recognition. It comprises data recorded from the accelerometer, gyroscope and orientation sensors of a smartphone for fifty subjects performing nine different types of Activities of Daily Living (ADLs) and fifty-four subjects simulating four different types of falls. This dataset is used to elaborate an optimized feature selection and classification scheme for the recognition of ADLs, using the accelerometer recordings. Special emphasis was placed on the selection of the most effective features from feature sets already validated in previously published studies. An important qualitative part of this investigation is the implementation of a comparative study for evaluating the proposed optimal feature set using both the MobiAct dataset and another popular dataset in the domain. The results obtained show a higher classification accuracy than previous reported studies, which exceeds 99% for the involved ADLs.