Search results

The human tongue is a unique organ that can be stuck out of the body for physical examination, and tongue diagnosis is very important in traditional Chinese medicine. Automated tongue area detection is crucial and indispensable for computer‐aided tongue diagnosis, but it is difficult to implement because of the physiological properties of the tongue. For example, as a non‐rigid organ, the tongue has a high degree of variability in size, shape, color, and texture. The purpose of this study is to address this problem.

This paper presents a hybrid framework for tongue area detection based on active shape model and genetic algorithm with the prior knowledge of tongue shape deformation.

A set of 612 tongue images was collected from both healthy and sick subjects. Using these images, the proposed method was compared with state‐of‐the‐art methods. The proposed method achieved an improvement of about 10 percent, 36 percent, and 6 percent over the existing methods in terms of mean Hausdorff distance, mean closest point distance, and Williams Index, respectively. The results demonstrate the efficacy of our proposed method in terms of both robustness and accuracy.

The proposed method gives a new approach for computer‐aided tongue diagnosis in medicine.

The purpose of this paper is to evaluate subjectivity issue, particularly sensitivity variance and fatigue effect, in human sensory evaluation, as well as review the feasibility of human-independent quality system, using E-tongue and E-nose.

The sensitivity level is evaluated by measuring the threshold of Acesulfame-K, while the fatigue effect is evaluated by measuring the accuracy level of evaluation through the time. The experiment was administered to six trained sensory panelists.

The experiment result shows that each panelist has a different level of sensitivity and tendency in evaluating samples containing Acesulfame-K. Furthermore, by simulating the panelists’ daily inspection, the fatigue effect is also found in one out of six panelists. The use of E-nose and E-tongue, may eliminate the subjectivity issue, supporting the development of human error-free quality system.

The research findings indicate the needs of human substitution-built into the quality system to avoid both of subjectivity and error judgment while defining the products quality. However, the small numbers of panelists as well as the unvalidated substitute instruments application in the target workcenter were the main limitation of this study. Human-independent quality system could be applied only when the instruments have been calibrated to human response in perceiving taste and odor.

The research finding supports the theory of human panels’ tradeoffs in a sensory analysis in terms of sensitivity level variance and fatigue. It has provided additional contributions to the existing theories as well as developed effective strategies for the development of the human-independent quality system.

Tongue diagnosis is a standard expert technique of traditional Chinese medicine (TCM). Computerized tongue diagnosis promises to automate the process of tongue diagnosis yet the tongue images segmentation upon which it depends is made difficult by the fact that the tongue is non‐rigid and varies greatly in size, shape, color, and texture. This paper presents a novel medical sensor system for TCM tongue diagnosis, which makes use of hyperspectral imaging technology.

The tongue image capturing sensor device for Chinese medical is based on the theory of the pushbroom hyperspectral imager. The paper illustrates its advantages by detecting the tongue contour in the hyperspectral images.

The experiments from 1,522 clinical tongue images show the validity of the system.

In this paper, the authors propose to use hyperspectral technology for tongue diagnosis for the first time in the literature and obtain promising results.

The novel sensor for tongue image capture gives a new method for tongue imformation collection. This system gives a new approach for tongue information collection.

In this paper we describe a novel human machine interface system aimed primarily at those who have experienced loss of extremity motor function. The system enables the control of a wide range of assistive technologies such as wheelchairs, prosthetics, computers and general electrical goods at the ‘flick of a tongue’. This system could benefit a huge sector of people including those who have suffered a spinal cord injury, stroke or quadriplegia.The technology focuses on a unique hands‐free interface whereby users can issue commands simply by performing subtle tongue movements; these tongue motions are continually monitored by a small microphone positioned comfortably within the ear canal. Due to the physiological connections between these regions and the distinctive nature of the signals, these commands can be detected and distinguished allowing a control signal to be issued.This inexpensive device offers significant advantages over existing technologies by providing unobtrusive, hygienic control through natural tongue motion. New software has been implemented, achieving over 97% correct classification across four different tongue movements for seven test subjects. Feasibility of the system as an interface for a variety of devices is demonstrated through simulation studies including controlling a prosthetic manipulator and power wheelchair.

Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing scholars become more aware of the value of audio and visual data and the technologies required to reveal insights into marketing problems. This chapter aims to introduce marketing scholars into this field of research.Design/methodology/approach – This chapter reviews the current technology in audio and visual data analysis and discusses rewarding research opportunities in marketing using these data.Findings – Compared with traditional data like survey and scanner data, audio and visual data provides richer information and is easier to collect. Given these superiority, data availability, feasibility of storage, and increasing computational power, we believe that these data will contribute to better marketing practices with the help of marketing scholars in the near future.Practical implications: The adoption of audio and visual data in marketing practices will help practitioners to get better insights into marketing problems and thus make better decisions.Value/originality – This chapter makes first attempt in the marketing literature to review the current technology in audio and visual data analysis and proposes promising applications of such technology. We hope it will inspire scholars to utilize audio and visual data in marketing research.

Today, information technology is fundamental to the operation of most businesses, whether they are small companies or multinational corporations. In recent times, the implementation of local and wide area networks and the installation of computing equipment in office areas has brought information technology to nearly every working environment. The result is an increasing dependence on the availability, integrity and confidentiality of information stored and processed by these systems. As the trend shifts from “fortress” style central computer facilities to distributed systems located in generally less secure office environments, the risk of disruption increases, owing to lack of physical security, support services limitations and absence of site monitoring. The net result is higher business impact coupled with greater exposure. Identifies the elements that are at risk, discusses the issues businesses face when seeking to minimize exposures, suggests some practical solutions and describes some selected events that illustrate the hazards associated with having inadequate protection.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.

The purpose of this paper is to describe the packaging and operation of an electronic tongue sensor. The sensor will be used in an industrial setting and the packaging needs to withstand the harsh clean‐in‐place (CIP) routines that are commonly employed. A suitable epoxy, Loctite FP4450 HYSOL, was identified from a number of packaging materials. The sensor was validated by carrying out cyclic voltammetry in a number of reference solutions including sulphuric acid solution and ferrocyanide in potassium chloride solution, which gave well‐defined reduction and oxidation peaks that could be compared with the literature. The operation of the sensor in mixtures of salt and citric acid solutions was also investigated and it was seen that by applying a carefully selected voltage window and scan rate to each electrode, the sensor could distinguish between the different mixtures. Further experimentation and the application of principle component analysis have shown the sensor to have good repeatability.

This paper concentrates on the ability of the sensor packaging to withstand a typical industrial CIP procedure. A number of packaging materials are investigated. In addition, the operation of the sensor has been investigated by using cyclic voltammetry.

One successful packaging material is Loctite 9461A&B HYSOL. Poly ether ether ketone also performs well after repeated CIP exposure. For ease of manufacture, Loctite FP4450 HYSOL is the epoxy of choice. An extensive matrix of test solutions was prepared from salt and citric acid powders. The aim was to investigate the sensor's ability to distinguish between increasing concentration levels of salt and citric acid and also to investigate how the sensor operates in mixtures of the solutions. By carefully choosing the applied voltage window and scan rate, the electrodes can distinguish between the mixtures

This research work has highlighted a robust packaging material to withstand industrial CIP procedures.

Advancements in real-time water monitoring technologies permit rapid detection of water quality, and threats from waste loads. Water Framework Directive mandating the establishment of Member States’ water resources monitoring, presence of hazardous contaminants in effluents, and perception of vulnerability of water distribution system to attacks, have spurred technical and economic interests. The paper aims to discuss these issues.

As alternative to traditional analyzers, chemosensors, operate according to physical principles, without sample collection (online), and are capable of supplying parameter values continuously and in real-time. Their low selectivity and stability issues have been overcome by technological developments. This review paper contains a comprehensive survey of existing and expected online monitoring technologies for measurement/detection of pollutants in water.

The state-of-the-art in online water monitoring is presented. Application examples are reported. Monitoring costs will become a lesser part of a water utility budget due to the fact that automation and technological simplification will abate human cost factors, and reduce the complexity of laboratory procedures.

An overview of applicable instrumentation, and forthcoming developments, is given. Technological development in this field is very rapid, and astonishing advances are anticipated in several areas (fingerprinting, optochemical sensors, biosensors, molecular techniques). Online monitoring is becoming an ever-important tool not only for compliance control or plant management purposes, but also as a useful approach to pollution control and reduction, minimizing the environmental impact of discharges.