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Статті в журналах з теми "Explosives – Detection – Technological innovations"
F. Santarelli, Maria, Vincenzo Positano, Nicola Martini, Giuseppe Valvano, and Luigi Landini. "Technological Innovations in Magnetic Resonance for Early Detection of Cardiovascular Diseases." Current Pharmaceutical Design 22, no. 1 (December 21, 2015): 77–89. http://dx.doi.org/10.2174/1381612822666151109112240.
Повний текст джерелаMaziejuk, Mirosław, Monika Szyposzyńska, Aleksandra Spławska, Monika Wiśnik-Sawka, and Michał Ceremuga. "Detection of Triacetone Triperoxide (TATP) and Hexamethylene Triperoxide Diamine (HMTD) from the Gas Phase with Differential Ion Mobility Spectrometry (DMS)." Sensors 21, no. 13 (July 2, 2021): 4545. http://dx.doi.org/10.3390/s21134545.
Повний текст джерелаBarrass, Lucy, Abigail Roberts, Oluwatomi Arisa, Emily Robertson, Aoife Oliver, Oshin Sharma, Janet Kinnersley, Dawn Craig, and Anne Oyewole. "OP57 The Identification Of Technological Innovations To Address The Challenge Of Antimicrobial Resistance Using Horizon Scanning Approaches." International Journal of Technology Assessment in Health Care 38, S1 (December 2022): S22. http://dx.doi.org/10.1017/s0266462322001106.
Повний текст джерелаMOWLAWI, ALI ASGHAR, and MAJED YAZDANI. "MONTE CARLO SIMULATION OF SOIL MOISTURE EFFECTS ON ANTI-TANK LANDMINES DETECTION BY NEUTRON BACKSCATTERING TECHNIQUE." International Journal of Modern Physics B 23, no. 32 (December 30, 2009): 5907–13. http://dx.doi.org/10.1142/s0217979209049735.
Повний текст джерелаBogue, Robert. "Remote chemical sensing: a review of techniques and recent developments." Sensor Review 38, no. 4 (September 17, 2018): 453–57. http://dx.doi.org/10.1108/sr-12-2017-0267.
Повний текст джерелаSickle, G. A. Van. "A review of innovations in disease and insect management and control." Forestry Chronicle 68, no. 6 (December 1, 1992): 742–46. http://dx.doi.org/10.5558/tfc68742-6.
Повний текст джерелаGouveia-Carvalho, Júlio, Wilson Talhão Antunes, Tiago Gonçalves, Victor Lobo, Filipe Duarte, Bernardino Veríssimo, Alfredo Baptista, and Mário Monteiro Marques. "Chemical and Radiological Sensors Integration in Unmanned Aerial Systems with ATEX Compliance." Key Engineering Materials 893 (July 20, 2021): 17–27. http://dx.doi.org/10.4028/www.scientific.net/kem.893.17.
Повний текст джерелаOriana, Villarroel-Molina, De-Pablos-Heredero Carmen, Barba Cecilio, Rangel Jaime, and García Antón. "The Importance of Network Position in the Diffusion of Agricultural Innovations in Smallholders of Dual-Purpose Cattle in Mexico." Land 10, no. 4 (April 12, 2021): 401. http://dx.doi.org/10.3390/land10040401.
Повний текст джерелаJohnson, J. Bruce, Susan D. Allen, Jonathan Merten, Lewis Johnson, Daniel Pinkham, and Scott W. Reeve. "Standoff Methods for the Detection of Threat Agents: A Review of Several Promising Laser-Based Techniques." Journal of Spectroscopy 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/613435.
Повний текст джерелаBurhan, Nik Ahmad Sufian, Razli Che Razak, Saifuzzaman Ibrahim, Muhamad Rosli Selamat, and Muhamad Ridhwan Rosli. "Social Classes of Intelligence, Economic Growth and Technological Achievement: Robust Regression and Outlier Detection." Journal of Interdisciplinary Economics 30, no. 2 (March 29, 2018): 148–63. http://dx.doi.org/10.1177/0260107918761923.
Повний текст джерелаДисертації з теми "Explosives – Detection – Technological innovations"
Jakkula, Vikramaditya Reddy. "Enhancing smart home resident activity prediction and anomaly detection using temporal relations." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/v_jakkula_102207.pdf.
Повний текст джерела"An intelligent shoe system for health detection and enhancement." 2014. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291520.
Повний текст джерелаMost measurement systems currently used for motion and gait detection are disadvantaged in that they monitor and analyze motion in limited environments and not in real time. Hence, they cannot be used for long-term monitoring and detection. The design of a new, inexpensive, compact and lightweight shoe-integrated platform is elaborated in this thesis. The intelligent shoe system comprises a suite of sensors, a microprocessor board and a wireless communication module. This ideal platform requires no specialized equipment or lab setup, meaning data can be collected not only in the narrow confines of a research lab, but essentially anywhere, whether indoors or outdoors.
Our everyday lives are shaped by a wide variety of motions, some of which can cause injury. Injuries suffered due to falls account for a significant portion of accidents and immediate help should be provided. The intelligent shoe system offers an approach of detecting the user’s motion, especially the movement and direction of a fall. This study used principle component analysis (PCA) to decrease the number of sensors in the prototype (eight pairs) by half (four pairs), so as to reduce computational cost and enhance real-time performance. The resultant system can learn the patterns necessary to detect fall directions from abundant tilted-standing data instead of actual fall data.
Fatigue can result in an abnormal gait, making injury more probable. Hence, detecting fatigue is very important. Experiments have been conducted to determine the relationship between fatigue and gait, and the resultant data are used to analyze the relationship between force information and foot attitude. These findings can help a user detect fatigue and avoid injury.
People carry various kinds of loads in their daily lives, and long-term load-bearing activities can result in motion deformation. Another objective of this study is to determine a load-carrying approach that will decrease such deformation to a great extent. Resampling is used to partition the related data cycle by cycle. A support vector machine (SVM) is adopted to model a user’s normal walking gait and abnormal gaits without loads, which allows for the determination of whether a gait is normal when a load is carried.
To enhance overall health, exercise is commonly adopted, but many forms of exercise are dull. The proposed system’s shoe-computer interface not only helps people obtain detailed lower-body feedback, but can also be used to promote everyday exercise. People are analyzed while sitting for long periods in the workplace, and two interfaces are designed as a result: the shoe-keyboard, in which the feet are used to type words into a computer, and the shoe-write system, in which the foot is used like a hand to write on the ground, with the words displayed on the computer screen. Both of these applications use back-propagation (BP) networks to classify the motions involved. The shoe-keyboard is based on logical coding to map the motion-to-word relationship, and the shoe-write system incorporates an optical tracker to translate motion into information.
人們現在越來越重視自己的生活質量,而健康方面是最為重要的。穿戴式設備是最好容易使用的檢測健康的設備。本文的目標是通過智能鞋,來檢測步態,對其進行分析和預測,已達到檢測和提高人們的健康水平的要求。
現在絕大多數的步態運動檢測系統都不是實時的且長時間工作的。在研究中,基於鞋子的智能系統被提出并得以實現,其具有便宜,緊湊,輕便等的優點。該系統包括壓力和加速度傳感器,處理芯片和無線傳輸模塊。這種設計將滿足日常步態信息的採集,并且把環境影響的因素放置最小,以達到室內室外都可長時間連續實時監測的要求。
在本論文中,對一系列日常生活的行為進行檢測和分類,尤其是最為危險的摔倒。本系統通過採用主成分分析,對已有的壓力傳感器進行的了分析,在保證了預測的準確性的前提下,將壓力傳感器由8對減少至4對,大大的降低了運算的次數,使得該系統實時性更好。同時本系統通過傾斜站立獲得的數據并應用于跌倒方向的檢測,並且有著良好的結果。
在本文中,對疲勞步態進行的分析,通過設計實驗,來區分不同疲勞程度下人們的步態。壓力信號較為明顯,同時加速度反映出每一步的劇烈程度。最終結果表明,壓力和加速度相輔相成,與疲勞程度的關係也很明顯,基於這種關係,本系統對疲勞程度進行了預測,通過壓力傳感器的信號,預測疲勞的程度,實驗結果也較為理想。
長時間的負責對身體的負擔很大,在本文中,著重的分析了在不同負重方式下,步態的變化,並且通過對比正常步態,採用支持向量機進行分類。在分類的過程中,通過重新採樣,將採集的數據轉變為一步為一組的數據,進行分類,最終得到的結果表明,平衡狀態下的負重是最好的。
對於健康而言,除了檢查受傷和疲勞,提升自身的身體素質也尤為重要。在本文中,介紹了兩種基於智能鞋的應用,在鍛煉下肢靈活度的同時,也避免了鍛煉的無聊。智能鞋鍵盤是通過腳踝的運動,基於一定的編碼方式,已達到在電腦上輸入文字的方式。智能鞋寫字系統是通過對下腳點的定位結合光電傳感器記錄位移,最終獲得文字輸入。應用BP神經網絡,對腳下點進行了分類,結合壓力傳感器和腿部建模,可以準確的區分30個的基本點的位置,從而獲得每筆的起點。最終完成寫字輸入。
Tao, Yanbo.
Thesis Ph.D. Chinese University of Hong Kong 2014.
Includes bibliographical references (leaves 134-141).
Abstracts also in Chinese.
Title from PDF title page (viewed on 12, October, 2016).
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Kalunga, Emmanuel K. "Development of a brain computer interface (BCI) based intention detection approach for persons with limited neuro-muscular control." 2013. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000733.
Повний текст джерелаFor the last 3 decades, interdisciplinary studies on the Brain Computer Interface (BCI) have grown in number. This common interest has been stirred up by recent developments in technology and opportunities seen in BCI. BCI systems provide an interface for communicating and controlling the physical environment, bypassing the normal neuromuscular pathways. They thus constitute an alternative means of control for the large population of people with limited to non-existent muscular abilities. Limitations in existing systems have prevented BCIs from being used in real life applications. New approaches are now being investigated with the aim of exporting BCI to home usage. This study investigates a BCI with realistic performances for practical home usage. It proposes a BCI to be used as a modality in a multimodal control of an exoskeleton.
Solomon, Cleshain Theodore. "Driver attention and behaviour monitoring with the Microsoft Kinect sensor." Diss., 2015. http://hdl.handle.net/10500/21798.
Повний текст джерелаElectrical Engineering
M. Tech. (Electrical Engineering)
Книги з теми "Explosives – Detection – Technological innovations"
Aspects of explosives detection. Amsterdam: Elsevier, 2009.
Знайти повний текст джерелаHiltmar, Schubert, and Kuznetsov Andrey, eds. Detection of bulk explosives: Advanced techniques against terrorism. Dordrecht: Kluwer Academic Publishers, 2004.
Знайти повний текст джерелаNATO Advanced Research Workshop on Detection of Liquid Explosives and Flammable Agents in Connection with Terrorism (2007 Saint Petersburg, Russia). Detection of liquid explosives and flammable agents in connection with terrorism. Dordrecht: Springer, 2008.
Знайти повний текст джерелаPreventing the illegal use of explosive materials: A report to Congress on detecting, tagging, inactivating, and regulating explosive materials. [Washington, D.C.]: Bureau of Alcohol, Tobacco, Firearms and Explosives, Office of Enforcement Programs and Services, 2007.
Знайти повний текст джерелаOffice, General Accounting. Terrorism and drug trafficking: Technologies for detecting explosives and narcotics : report to Congressional requesters. Washington, D.C: The Office, 1996.
Знайти повний текст джерелаLeveraging technology to improve aviation, part I and II: Hearing before the Subcommittee on Economic Security, Infrastructure Protection, and Cybersecurity of the Committee on Homeland Security, House of Representatives, One Hundred Ninth Congress, first session, July 13 and July 19, 2005. Washington: U.S. G.P.O., 2006.
Знайти повний текст джерелаUnited States. Congress. Senate. Committee on Commerce, Science, and Transportation. Oversight on transportation security: Hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Eighth Congress, first session, September 9, 2003. Washington: U.S. Government Printing Office, 2014.
Знайти повний текст джерелаShort, James M. Energetics science and technology in China. College Park, Maryland: CALCE, EPSC Press, 2010.
Знайти повний текст джерелаArmstrong, Ronald W. Energetics science and technology in Central Europe. Edited by University of Maryland (College Park, Md.). Center for Advanced Life Cycle Engineering and University of Maryland (College Park, Md.). Center for Energetic Concepts Development. College Park, Maryland: CALCE, EPSC Press, 2012.
Знайти повний текст джерелаStotsky, Alexander A. Automotive engines: Control, estimation, statistical detection. Berlin: Springer, 2009.
Знайти повний текст джерелаЧастини книг з теми "Explosives – Detection – Technological innovations"
Kretser, Heidi, Emma Stokes, Serge Wich, David Foran, and Alexa Montefiore. "Technological Innovations Supporting Wildlife Crime Detection, Deterrence, and Enforcement." In Conservation Criminology, 155–77. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119376866.ch9.
Повний текст джерелаOrtmann, Steffen, Michael Maaser, and Peter Langendoerfer. "Self-Adapting Event Configuration in Ubiquitous Wireless Sensor Networks." In Technological Innovations in Adaptive and Dependable Systems, 109–26. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0255-7.ch007.
Повний текст джерелаТези доповідей конференцій з теми "Explosives – Detection – Technological innovations"
Singh, Prabhat, Sakshi Kaur, Shivani Sharma, Gitika Sharma, Swati Vashisht, and Vinay Kumar. "Malware Detection Using Machine Learning." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673465.
Повний текст джерелаAgrawal, Harsh, Aditya Gupta, Aryan Sharma, and Prabhat Singh. "Road Pothole Detection Mechanism using Mobile Sensors." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673193.
Повний текст джерелаChari, Harsha, Shailendra Aswale, Vijaykumar Naik Pawar, Pratiksha Shetgaonkar, and K. M. Chaman Kumar. "Advertisement Click Fraud Detection Using Machine Learning Techniques." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673199.
Повний текст джерелаSingh, Monika. "Analysis of Twitter Spam Detection Techniques-A Review." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673356.
Повний текст джерелаPuri, Digvijay, Kshamta Chauhan, Piyush Chauhan, and Anuj Gupta. "COVID Detection using X-Ray images through Machine Learning." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673362.
Повний текст джерелаSoni, Gaurav, Satnam Singh Saini, Simarjit Singh Malhi, Bhupinder Kaur Srao, Ashim Sharma, and Digvijay Puri. "Design and Implementation of Object Motion Detection Using Telegram." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673226.
Повний текст джерелаShetgaonkar, Pratiksha, Jane Trinity Rodrigues, Shailendra Aswale, Vialli Luis Keji Gonsalves, Jane Crystal Rodrigues, and Aditya Naik. "Fake Review Detection Using Sentiment Analysis and Deep Learning." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673375.
Повний текст джерелаBhardwaj, Shweta, Praveen Kumar, and Hima Bindu Maringanti. "Intrusion Detection in Internet of Things using Machine Learning Classifiers." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673449.
Повний текст джерелаKumar, Vinit, Arvind Kumar, Abhinav Kumar Singh, and Ansh Pachauri. "Fake News Detection using Machine Learning and Natural Language Processing." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673378.
Повний текст джерелаNagaraju, Jajam, and J. Vijaya. "Methodologies used for Customer Churn Detection in Customer Relationship Management." In 2021 International Conference on Technological Advancements and Innovations (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai53825.2021.9673382.
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