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1.
基于纳米金比色法可视化检测鸡蛋中的氟苯尼考   总被引:1,自引:0,他引:1  
该研究基于适配体功能化的纳米金构建了比色传感器,在优化各种试验条件的基础上,评估了传感器的灵敏性及特异性,并对鸡蛋中氟苯尼考检测的可行性进行了研究,进而探索将比色传感器与智能手机的成像分析相结合实现快速分析的可行性。比色传感器的优化条件如下:NaCl浓度为50 nmol/L,NaCl孵育时间为5 min,适配体浓度为750 nmol/L,目标物与体系的反应时间为20 min。在此条件下,ΔA650/A520与氟苯尼考(20~40 nmol/L)、氟苯尼考胺的浓度(20~45 nmol/L)均呈现良好线性关系,检测限分别为5.41和6.29 nmol/L,传感器具有良好的特异性。鸡蛋中氟苯尼考及氟苯尼考胺的加标回收率分别为98.65%~103.40%和98.35%~107.49%,相对标准偏差<6.78%。智能手机红蓝绿(red-green-blue, RGB)分析结果发现,蓝红比值的变化量(ΔB/R)与目标物浓度存在线性关系。真实样品检测中,所建立的比色传感器可以有效监测鸡蛋中氟苯尼考含量随给药天数的变化,证实了该方法在实际样品分析应用...  相似文献   
2.
ABSTRACT

Contact tracing is widely considered as an effective procedure in the fight against epidemic diseases. However, one of the challenges for technology based contact tracing is the high number of false positives, questioning its trust-worthiness and efficiency amongst the wider population for mass adoption. To this end, this paper proposes a novel, yet practical smartphone-based contact tracing approach, employing WiFi and acoustic sound for relative distance estimate, in addition to the air pressure and the magnetic field for ambient environment matching. We present a model combining six smartphone sensors, prioritising some of them when certain conditions are met. We empirically verified our approach in various realistic environments to demonstrate an achievement of up to 95% fewer false positives, and 62% more accurate than Bluetooth-only system. To the best of our knowledge, this paper was one of the first work to propose a combination of smartphone sensors for contact tracing.  相似文献   
3.
The accuracy of the indoor localization is influenced directly by the quality of the fingerprint. But the indoor localization algorithms in existence are almost conducted based on the original fingerprint which is not optimized. The k-means is introduced to optimize the fingerprint in this paper. And deleting the collected bad-points through the theory of cluster could make the fingerprint more accurate for the indoor localization algorithm. Compared with the indoor localization systems in existence, the result of experiments shows that the optimized fingerprint can increase the accurate of indoor localization with a higher probability.  相似文献   
4.
ABSTRACT

People around the world spend hours of their daily lives using smartphones; therefore, it is important to conduct cross-cultural research on the effects of smartphone use on health and well-being as culture influences values, motivations and communication patterns. The purpose of this study was to explore 5 popular uses of the smartphone – messaging, browsing the Internet, posting social content, reading social content, and playing games – how they relate to anxiety and depression scores, and how they vary depending on the country of the participants: Spain, the United States, and Colombia. In all three countries the ranking of most popular uses was the same: (1) Messaging, (2) Reading social content, and (3) Browsing the Internet. In the USA, game playing contributed to anxiety scores whereas reading social content was a protective factor; regarding depression scores, text messaging was a contributing factor. In Spain, browsing the Internet contributed to anxiety scores; regarding depression scores, messaging was a contributing factor and posting social content was a protective factor. In Colombia, no specific use influenced anxiety scores; regarding depression scores, only game playing was a protective factor. Our results showed that in all the countries, problematic smartphone use contributed to anxiety scores.  相似文献   
5.
The mobile crowdsensing software systems can complete large-scale and complex sensing tasks with the help of the collective intelligence from large numbers of ordinary users. In this paper, we build a typical crowdsensing system, which can efficiently calibrate large numbers of smartphone barometer sensors. The barometer sensor now becomes a very common sensor on smartphones. It is very useful in many applications, such as positioning, environment sensing and activity detection. Unfortunately, most smartphone barometers today are not accurate enough, and it is rather challenging to efficiently calibrate a large number of smartphone barometers. Here, we try to achieve this goal by designing a crowdsensingbased smartphone calibration system, which is called CBSC. It makes use of low-power barometers on smartphones and needs few reference points and little human assistant. We propose a hidden Markov model for peer-to-peer calibration, and calibrate all the barometers by solving a minimum dominating set problem. The field studies show that CBSC can get an accuracy of within 0.1 hPa in 84% cases. Compared with the traditional solutions, CBSC is more practical and the accuracy is satisfying. The experience gained when building this system can also help the development of other crowdsensing-based systems.  相似文献   
6.
A smartphone sky camera and associated image analysis algorithm has been developed and validated to determine total cloud cover and the percentage of thick and thin clouds using supervised image classification for a range of cloud types, cloud cover from 4% to 98%, and solar zenith angles between 6° and 49°. Additionally, this system provides the percentage of total, thick, and thin clouds in proximity to the solar disc. The measurement errors were comparable to those associated with values obtained by commercial sky camera systems. The benefits of increasing the availability of cloud fraction measurements include the potential to develop improved local ultraviolet indices and weather forecasts and to provide a better understanding of cloud patterns required for the generation of solar energy.  相似文献   
7.
张淼  杨有秀  程工  董航  李承泽 《中国通信》2012,9(12):144-152
Mobile malware is rapidly increasing and its detection has become a critical issue. In this study, we summarize the common characteristics of this mali-cious software on Android platform. We design a de-tection engine consisting of six parts: decompile, grammar parsing, control flow and data flow analysis, safety analysis, and comprehensive evaluation. In the comprehensive evaluation, we obtain a weight vector of 29 evaluation indexes using the analytic hierarchy process. During this process, the detection engine ex-ports a list of suspicious API. On the basis of this list, the evaluation part of the engine performs a compre-hensive evaluation of the hazard assessment of soft-ware sample. Finally, hazard classification is given for the software. The false positive rate of our approach for detecting malware samples is 4. 7% and normal samples is 7.6% . The experimental results show that the accuracy rate of our approach is almost similar to the method based on virus signatures. Compared with the method based on virus signatures, our approach performs well in detecting unknown malware. This approach is promising for the application of malware detection.  相似文献   
8.
为恢复智能手机存储卡中丢失或损坏的数据,以主流RS-MMC存储卡为例,分析了其物理结构和数据存储原理,针对引起数据损坏的不同原因,提出了对应的数据恢复方法。着重研究了逻辑损坏时的数据恢复流程,详细介绍了利用USBOOT软件进行数据恢复的操作步骤。测试表明该方法数据恢复效果好,可用于个人信息恢复、嫌疑手机取证等场合。  相似文献   
9.
There has been a rapid increase in the resolution of small‐sized and medium‐sized displays. This study determines an upper discernible limit for display resolution. A range of resolutions varying from 254–1016 PPI were evaluated using simulated display by 49 subjects at 300 mm viewing distance. The results of the study conclusively show that users can discriminate between 339 and 508 PPI and in many cases between 508 and 1016 PPI.  相似文献   
10.
The study investigated the optimal display color for comfortable use of smartphones at night under low illuminance, while not distorting the perceived quality of displays. Two phases of psychophysical experiments were conducted to judge perceptibility and acceptability of the displays in various shades of white. The experimental results showed that the scores in acceptability were always higher than those in perceptibility all across the hues, and yellow received the highest scores in acceptability among the six hue categories. This can be interpreted that the observers have the intention of using a display in a yellow shade of white even though it is not perceived as pure white. Through the analysis, a white in yellow shade with the RGB values of 255, 255, and 230 was determined as the optimal display color for nighttime smartphone users regardless of display luminance or contents. The proposed display color supports physiological comfort by reducing the blue light, which involves an adverse effect on the biological system, and provides psychological satisfaction by allowing users to decide the color within the range of the user's acceptable threshold. © 2016 Wiley Periodicals, Inc. Col Res Appl, 42, 60–67, 2017  相似文献   
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