It is currently difficult to measure temperature and pressure in harsh environments. Such measurements are limited by either the ability of the sensing element or the…
It is currently difficult to measure temperature and pressure in harsh environments. Such measurements are limited by either the ability of the sensing element or the associated electrical wiring to withstand the operating environment. This is unfortunate as temperature and pressure are important measurands in various engineering structures as they provide critical information on the operating condition of the structure. Hence, there is a need to address this shortcoming. Such a sensor in place would enhance the operating efficiency thereby reducing the pollution burden and its impact on the environment. The purpose of this paper is to present theoretical and preliminary experimental results for a co‐integrated pressure and temperature sensor for harsh environments.
This work describes a co‐integrated pressure‐temperature wireless sensing scheme. The approach presented herein provides the possibility of measuring dynamic pressure and temperature within an enclosed volume using acoustic signals. Resonance tube physics is exploited for the temperature sensing. A microphone is used to obtain the acoustic signal whose frequency is a function of the temperature and the tube geometry.
The dynamic pressure is measured from the calibrated amplitude of the pressure wave signal measured by the microphone. The temperature can be measured through the shift of the standing wave frequency with a resolution of <1°C. The resonance tube can be fabricated using any material that resists harsh environments. The geometry of the tube can be tailored for any specific frequency range, as the application warrants. Also, this provides a means for accurate temperature compensation of pressure sensor data from high temperature environments. A Matlab/Simulink model is developed and presented for the acquisition of acoustic signals through the wall of an enclosed volume. For these applications the standing wave signal transmitted through the enclosure wall becomes a function of the wall material and wall thickness. Preliminary experimental results are presented in which a DC fan is used for generating the dynamic pressure in a varying temperature environment.
The major issue is the separation of the noise from the signal. As various applications yield specific signal noise, the problem needs detailed data to be addressed.
Temperature and dynamic pressure could be recorded/monitored in very harsh environment conditions such as chemical reactors.
This work demonstrates the possibility of employing a co‐integrated acoustic sensing scheme in which both pressure and temperature are measured simultaneously with a sole sensor. The major advantage with acoustic sensing is the wireless transmission of data. This allows for non‐invasive measurement from within enclosed systems. Direct real‐time temperature compensation is possible that does not require any compensation circuitry. Hence, pressure and temperature data may be obtained from caustic operating environments whose access is otherwise not feasible.
This study aims to know the effects of environmental characteristics and business partner relationships on improving innovation performance through the mediation of…
This study aims to know the effects of environmental characteristics and business partner relationships on improving innovation performance through the mediation of knowledge management practices (KMPs).
The population of this research was all manufacturing companies engaged in the food and beverage sector categorized into large industries. According to Jakarta’s Badan Penyelenggara Jaminan Sosial (BPJS) Ketenagakerjaan (social insurance administration body of employment), large industries are industries with a number of employees > 100. However, in this research, the total population did not reach 100 but only 89 companies. The analysis unit used in this research was the companies. Data collection for this research relied on questionnaires with closed questions. The questionnaires were then distributed to the sample companies by using enumerator services. In accordance with the hypotheses formulated, the data analysis used in this research was partial least square.
The three findings are the significant and negative effect of environmental characteristics on KMPs, the significant effect of business partner relationships on innovation performance and the insignificant effect of KMPs on innovation performance. The management of food sector manufacturing companies needs to support the activities of generating ideas carried out by employees and support their innovative ideas and creativity. Good cooperation between employees and management is highly needed in an effort to develop company innovation.
This research used the innovation diffusion paradigm and the combination of market-based and knowledge-based paradigms is expected to fill the previous research gap and become the uniqueness and originality of this research. The second originality is that this research examined the role of the KMP variable as the moderating variable. The third originality of this research is the focus on examining the effect of business partner relationships on innovation performance. These three originalities are rarely found in previous studies. Therefore, this research is expected to complete and expand the study of knowledge management and innovation performance.