Journal articles: 'API systems'

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Këpuska, Veton. "Comparing Speech Recognition Systems (Microsoft API, Google API And CMU Sphinx)." International Journal of Engineering Research and Applications 07, no. 03 (March 2017): 20–24. http://dx.doi.org/10.9790/9622-0703022024.

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Böhm, Thomas, and Markus Fries. "API revises API 682 standard for mechanical seals and supply systems." Sealing Technology 2013, no. 9 (September 2013): 9–11. http://dx.doi.org/10.1016/s1350-4789(13)70322-2.

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Bond, M., and R. Anderson. "API-level attacks on embedded systems." Computer 34, no. 10 (2001): 67–75. http://dx.doi.org/10.1109/2.955101.

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Kao, Chia Hung, Cheng-Ying Chang, and Hewijin Christine Jiau. "Towards cost-effective API deprecation: A win–win strategy for API developers and API users." Information and Software Technology 142 (February 2022): 106746. http://dx.doi.org/10.1016/j.infsof.2021.106746.

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Kwan, C. T. "Design Practice for Mooring of Floating Production Systems." Marine Technology and SNAME News 28, no. 01 (January 1, 1991): 30–38. http://dx.doi.org/10.5957/mt1.1991.28.1.30.

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A draft "API Recommended Practice for Design, Analysis, and Maintenance of Mooring for Floating Production Systems" was developed recently by the API Task Group on Mooring Design for Floating Structures. This document is closely related to API RP-2P, "Recommended Practice for the Analysis of Spread Mooring Systems for Floating Drilling Units." because both documents address mooring of floating units. However, this document is also different in many ways from API RP-2P because there are significant differences between a floating drilling mooring system and a floating production mooring system. Major differences of this document from API RP-2P are:The design environment is significantly more severe.Dynamic instead of quasistatic mooring analysis is recommended; tension limits are relaxed.Guidelines for thruster-assisted mooring are included.Fatigue analysis is required. In the course of developing the Draft RP, the API Task Group has done some fundamental work to establish a rational design practice for FPS mooring systems. This paper highlights the new design practice, presents its basis, and points out areas where future work is needed.

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Xu, Congying, Xiaobing Sun, Bin Li, Xintong Lu, and Hongjing Guo. "MULAPI: Improving API method recommendation with API usage location." Journal of Systems and Software 142 (August 2018): 195–205. http://dx.doi.org/10.1016/j.jss.2018.04.060.

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Kuo, Rita, Cheng-Li Chen, Zhong-Xiu Lu, Maiga Chang, and Hung-Yi Chang. "EDUCATIONAL REWARD INFORMATION COMMUNICATION API (ERIC API): A PRELIMINARY STUDY RESULT." Revista Produção e Desenvolvimento 5 (September 23, 2019): e395. http://dx.doi.org/10.32358/rpd.2019.v5.395.

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Educational Resource Information Communication (ERIC) API is used to connect two separate systems while keeping both systems working independently without leaking users’ privacy data. This research uses ERIC API to integrate an educational reward system called Trading Card Game with Moodle, a famous open-source learning management system. When students authorize Moodle to dispatch the rewards (i.e., in-game cards) for completing learning activities (e.g., assignments and quizzes) to their account in the Trading Card Game, Moodle will no information about the credentials that they have in the Trading Card Game. This research conducts a pilot study to understand whether or not students are satisfying with having the API to integrate Moodle and Trading Card Game. The results not only show that ERIC API is acceptable for students but also provide researchers and teachers support of evidence to having a reward system into their learning management system.

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Baskys, A., and V. Zlosnikas. "Asymmetric PI Controller for Mechatronic Systems." Solid State Phenomena 113 (June 2006): 25–28. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.25.

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An asymmetric PI (aPI) controller based on a control algorithm, which is the modification of the PI control method, has been suggested. The principal characteristic feature of the aPI controller is that different values of proportional and integral constants are used at positive and at negative errors. Contrary to the classical PI controller, the proposed controller allows us to improve the positive disturbance rejection of control systems without sacrificing the unit step response dynamics. Results of the investigation of the concrete control systems based on the aPI controller are also presented. Using the dynamic system simulation program Simulink performed the investigation.

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Klemm, Michael, Eduardo Quiñones, Tucker Taft, Dirk Ziegenbein, and Sara Royuela. "The OpenMP API for High Integrity Systems." ACM SIGAda Ada Letters 40, no. 2 (April 27, 2021): 48–50. http://dx.doi.org/10.1145/3463478.3463480.

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OpenMP is traditionally focused on boosting performance in HPC systems. However, other domains are showing an increasing interest in the use of OpenMP by virtue of key aspects introduced in recent versions of the specification: the tasking model, the accelerator model, and other features like the requires and the assumes directives, which allow defining certain contracts. One example is the safety-critical embedded domain, where several efforts have been initiated towards the adoption of OpenMP. However, the OpenMP specification states that "application developers are responsible for correctly using the OpenMP API to produce a conforming program", being not acceptable in high integrity systems, where aspects such as reliability and resiliency have to be ensured at different levels of criticality. In this scope, programming languages like Ada propose a different paradigm by exposing fewer features to the user, and leaving the responsibility of safely exploiting the full underlying architecture to the compiler and the runtime systems, instead. The philosophy behind this kind of model is to move the responsibility of producing correct parallel programs from users to vendors. In this panel, actors from different domains involved in the use of parallel programming models for the development of high-integrity systems share their thoughts about this topic.

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Ma, Xin, Shize Guo, Wei Bai, Jun Chen, Shiming Xia, and Zhisong Pan. "An API Semantics-Aware Malware Detection Method Based on Deep Learning." Security and Communication Networks 2019 (November 11, 2019): 1–9. http://dx.doi.org/10.1155/2019/1315047.

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The explosive growth of malware variants poses a continuously and deeply evolving challenge to information security. Traditional malware detection methods require a lot of manpower. However, machine learning has played an important role on malware classification and detection, and it is easily spoofed by malware disguising to be benign software by employing self-protection techniques, which leads to poor performance for existing techniques based on the machine learning method. In this paper, we analyze the local maliciousness about malware and implement an anti-interference detection framework based on API fragments, which uses the LSTM model to classify API fragments and employs ensemble learning to determine the final result of the entire API sequence. We present our experimental results on Ali-Tianchi contest API databases. By comparing with the experiments of some common methods, it is proved that our method based on local maliciousness has better performance, which is a higher accuracy rate of 0.9734.

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Horridge, Matthew, and Sean Bechhofer. "The OWL API: A Java API for OWL ontologies." Semantic Web 2, no. 1 (2011): 11–21. http://dx.doi.org/10.3233/sw-2011-0025.

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Patyka, V., L. Butsenko, and L. Pasichnyk. "Application of commercial test-systems to identify gram-negative facultatively anaerobic bacteria." Agricultural Science and Practice 3, no. 1 (April 15, 2016): 43–48. http://dx.doi.org/10.15407/agrisp3.01.043.

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Aim. To validate the suitability of commercial API 20E test-system (bioMerieux) for the identifi cation and characterization of facultative gram-negative phytopathogenic bacterial isolates. Methods. Conventional mi- crobiological methods, API 20E test-system (bioMerieux) according to the manufacturer’s instructions. Re- sults. The identifi cation results for Erwinia amylovora, Pectobacterium carotovorum and Pantoea agglome- rans isolates were derived from the conventional and API 20E test systems, which, were in line with the literature data for these species. The API 20E test-system showed high suitability for P. agglomerans isolates identifi cation. Although not all the species of facultatively anaerobic phytopathogenic bacteria may be identi- fi ed using API 20E test-system, its application will surely allow obtaining reliable data about their physiologi- cal and biochemical properties, valuable for identifi cation of bacteria, in the course of 24 h. Conclusions. The results of tests, obtained for investigated species while using API 20E test-system, and those of conventional microbiological methods coincided. The application of API 20E test-system (bioMerieux) ensures fast obtain- ing of important data, which may be used to identify phytopathogenic bacteria of Erwinia, Pectobacterium, Pantoea genera.

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Kühn, I., A. Brauner, and R. Möllby. "Evaluation of numerical typing systems forEscherichia coliusing the API 50 CH and the PhP-EC systems as models." Epidemiology and Infection 105, no. 3 (December 1990): 521–31. http://dx.doi.org/10.1017/s0950268800048147.

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SUMMARYReproducible and discriminating typing methods are required for epidemio-logical investigations. Numerical typing systems analyse patterns obtained in various ways by calculating similarity coefficients between isolates. In the present study, various measures of the efficiency of a numerical typing system are quantified. These include reproducibility, accuracy, and discrimination power.Three different numerical typing methods forEscherichia coliwere compared using these measures: (a) Biotyping with API 50 CH system, (b) Biochemical fingerprinting with the API 50 CH system and (c) Biochemical fingerprinting with the PhP-EC system. Biotyping qualitatively measures the results of a set of biochemical reactions as + or −. Biochemical fingerprinting also uses biochemical reactions, but the tests are scored quantitatively by measuring the kinetics and intensity of each reaction.It was found that biotyping yielded poor reproducibility. When biochemical fingerprinting analysis was used with the API 50 CHE system the reproducibility and the discrimination was good. The PhP-EC system for biochemical fingerprinting showed equal reproducibility but was superior to the API 50 CH system with regard to discrimination power.

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Overeem, Michiel, Max Mathijssen, and Slinger Jansen. "API-m-FAMM: A focus area maturity model for API Management." Information and Software Technology 147 (July 2022): 106890. http://dx.doi.org/10.1016/j.infsof.2022.106890.

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Neubauer, Heinrich, Thomas Sauer, Heinz Becker, Stojanca Aleksic, and Hermann Meyer. "Comparison of Systems for Identification and Differentiation of Species within the GenusYersinia." Journal of Clinical Microbiology 36, no. 11 (1998): 3366–68. http://dx.doi.org/10.1128/jcm.36.11.3366-3368.1998.

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Of four tested identification systems (API 20E, API Rapid 32 IDE, Micronaut E, and the PCR-based Yersinia enterocoliticaAmplification Set), API 20E is still the system of choice for identifying pathogenic Yersinia isolates. It provides the highest sensitivity both at the genus and at the species level and has the best cost-effectiveness correlation.

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Sahbudin, Murtadha Arif Bin, Chakib Chaouch, Salvatore Serrano, and Marco Scarpa. "Application-Programming Interface (API) for Song Recognition Systems." Advances in Science, Technology and Engineering Systems Journal 6, no. 2 (April 2021): 846–59. http://dx.doi.org/10.25046/aj060298.

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Ofoeda, Joshua, Richard Boateng, and John Effah. "Application Programming Interface (API) Research." International Journal of Enterprise Information Systems 15, no. 3 (July 2019): 76–95. http://dx.doi.org/10.4018/ijeis.2019070105.

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The purpose of this study is to perform a synthesis of API research. The study took stock of literature from academic journals on APIs with their associated themes, frameworks, methodologies, publication outlets and level of analysis. The authors draw on a total of 104 articles from academic journals and conferences published from 2010 to 2018. A systematic literature review was conducted on the selected articles. The findings suggest that API research is primarily atheoretical and largely focuses on the technological dimensions such as design and usage; thus, neglecting most of the social issues such as the business and managerial applications of APIs, which are equally important. Future research directions are provided concerning the gaps identified.

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Popovici, Corina, Marcel Popa, Valeriu Sunel, Leonard Ionut Atanase, and Daniela Luminita Ichim. "Drug Delivery Systems Based on Pluronic Micelles with Antimicrobial Activity." Polymers 14, no. 15 (July 25, 2022): 3007. http://dx.doi.org/10.3390/polym14153007.

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Bacterial oral diseases are chronic, and, therefore, require appropriate treatment, which involves various forms of administration and dosing of the drug. However, multimicrobial resistance is an increasing issue, which affects the global health system. In the present study, a commercial amphiphilic copolymer, Pluronic F127, was used for the encapsulation of 1-(5′-nitrobenzimidazole-2′-yl-sulphonyl-acetyl)-4-aryl-thiosemicarbazide, which is an original active pharmaceutical ingredient (API) previously synthesized and characterized by our group, at different copolymer/API weight ratios. The obtained micellar systems, with sizes around 20 nm, were stable during 30 days of storage at 4 °C, without a major increase of the Z-average sizes. As expected, the drug encapsulation and loading efficiencies varied with the copolymer/API ratio, the highest values of 84.8 and 11.1%, respectively being determined for the F127/API = 10/1 ratio. Moreover, in vitro biological tests have demonstrated that the obtained polymeric micelles (PMs) are both hemocompatible and cytocompatible. Furthermore, enhanced inhibition zones of 36 and 20 mm were observed for the sample F127/API = 2/1 against S. aureus and E. coli, respectively. Based on these encouraging results, it can be admitted that these micellar systems can be an efficient alternative for the treatment of bacterial oral diseases, being suitable either by injection or by a topical administration.

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Sucipto, Sucipto, and Jamilah Karaman. "Integration of Legalization Information System Web-Based using Shipping API and Telegram API." JUITA: Jurnal Informatika 8, no. 2 (November 16, 2020): 131. http://dx.doi.org/10.30595/juita.v8i2.7104.

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Education is a right for every citizen. Quality education makes people more intelligent. Educational outcomes documented in a file called a diploma. A diploma is a necessary file for doing things related to work or other administrative matters. Generally, the diploma file submitted is in the form of a photocopy of a certificate that has been legalized for administrative requirements. The process of legalizing diplomas is often a hindrance because the time required is quite long and especially if someone is in an area far from where to take care of legalization. In the industrial era 4.0, information technology can be utilized to facilitate public access to services in the world of education, for example, using technology to implement an online legalization system. Application of technology in the legalization process is not just online but can be integrated with API (Application Programming Interface). It can attract millennial access to the application easily. There are two APIs used, namely the Shipping API and the Social Messaging API. Shipping API makes it easy to check shipping costs based on alumni location. Social messaging API with assistant features so that it can be easier to serve alumni accessing application features via Telegram. This study aims to facilitate the alumni in legalizing online to make time-efficient and affordable—implementation of information systems with the integrated website media Telegram API and Rajaongkir or shipping cost API. Based on testing the usability testing results obtained a value of 4.56 on a scale of 5. These results indicate that the application can function following the needs of users of information systems.

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AlJarrah, Mohammed N., Qussai M. Yaseen, and Ahmad M. Mustafa. "A Context-Aware Android Malware Detection Approach Using Machine Learning." Information 13, no. 12 (November 30, 2022): 563. http://dx.doi.org/10.3390/info13120563.

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The Android platform has become the most popular smartphone operating system, which makes it a target for malicious mobile apps. This paper proposes a machine learning-based approach for Android malware detection based on application features. Unlike many prior research that focused exclusively on API Calls and permissions features to improve detection efficiency and accuracy, this paper incorporates applications’ contextual features with API Calls and permissions features. Moreover, the proposed approach extracted a new dataset of static API Calls and permission features using a large dataset of malicious and benign Android APK samples. Furthermore, the proposed approach used the Information Gain algorithm to reduce the API and permission feature space from 527 to the most relevant 50 features only. Several combinations of API Calls, permissions, and contextual features were used. These combinations were fed into different machine-learning algorithms to show the significance of using the selected contextual features in detecting Android malware. The experiments show that the proposed model achieved a very high accuracy of about 99.4% when using contextual features in comparison to 97.2% without using contextual features. Moreover, the paper shows that the proposed approach outperformed the state-of-the-art models considered in this work.

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Howard, Jeremy, and Sylvain Gugger. "Fastai: A Layered API for Deep Learning." Information 11, no. 2 (February 16, 2020): 108. http://dx.doi.org/10.3390/info11020108.

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fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai includes: a new type dispatch system for Python along with a semantic type hierarchy for tensors; a GPU-optimized computer vision library which can be extended in pure Python; an optimizer which refactors out the common functionality of modern optimizers into two basic pieces, allowing optimization algorithms to be implemented in 4–5 lines of code; a novel 2-way callback system that can access any part of the data, model, or optimizer and change it at any point during training; a new data block API; and much more. We used this library to successfully create a complete deep learning course, which we were able to write more quickly than using previous approaches, and the code was more clear. The library is already in wide use in research, industry, and teaching.

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Head, C. B., and S. Ratnam. "Comparison of API ZYM system with API AN-Ident, API 20A, Minitek Anaerobe II, and RapID-ANA systems for identification of Clostridium difficile." Journal of Clinical Microbiology 26, no. 1 (1988): 144–46. http://dx.doi.org/10.1128/jcm.26.1.144-146.1988.

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David, Jérôme, Jérôme Euzenat, François Scharffe, and Cássia Trojahn dos Santos. "The Alignment API 4.0." Semantic Web 2, no. 1 (2011): 3–10. http://dx.doi.org/10.3233/sw-2011-0028.

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Fajarika Ramadania, Haris Supratno, Setya Yuwana, Suhartono, Darni, and Udjang Pairin. "Revitalization of the Novel of the Fire Smoke Cloud By Korrie Layun Rampan (Antropolinguistic Study)." Lakhomi Journal Scientific Journal of Culture 2, no. 3 (September 30, 2021): 109–24. http://dx.doi.org/10.33258/lakhomi.v2i3.503.

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The revitalization of Api Awan Asap Novel by Korrie Layun Rampan (Anthropology Study), This study aims to (1) describe language, (2) describe technological systems, (3) describe livelihoods, (4) describe arts, and (5) describe systems religion in the novel Api Cloud Asap by Korrie Layun Rampan. The method in this study uses a descriptive analysis method and an anthropological approach that includes aspects of literary anthropology. The data source in this study is the novel Api Awan Asap by Korrie Layun Rampan. The collection technique in this research is text observation technique and interpretive descriptive technique. The results of this study can be concluded as follows: (1) the language system contained in the Api Awan Asap novel, namely the Dayak Benuaq language and English, (2) the technological system described in the Api Awan Asap novel such as: lou, bivouac, ulin, ketinting , sharp weapons, ulap, ulap doyo, jewelry, (3) the livelihood system described in the novel Api Awan Asap, such as gardening, hunting, berhuma, cutting down forests, and businessmen, (4) the arts described in the novel Api Awan Asap, namely musical instruments, sculpting, weaving, dancing, singing, and weaving, (5) the religious system described in the novel Api Awan Asap, namely the application ceremony, wedding ceremony, magic, legend, and customary law ceremonies.

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Fink, Elisabeth, Michael Brunsteiner, Stefan Mitsche, Hartmuth Schröttner, Amrit Paudel, and Sarah Zellnitz-Neugebauer. "Data-Driven Prediction of the Formation of Co-Amorphous Systems." Pharmaceutics 15, no. 2 (January 20, 2023): 347. http://dx.doi.org/10.3390/pharmaceutics15020347.

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Co-amorphous systems (COAMS) have raised increasing interest in the pharmaceutical industry, since they combine the increased solubility and/or faster dissolution of amorphous forms with the stability of crystalline forms. However, the choice of the co-former is critical for the formation of a COAMS. While some models exist to predict the potential formation of COAMS, they often focus on a limited group of compounds. Here, four classes of combinations of an active pharmaceutical ingredient (API) with (1) another API, (2) an amino acid, (3) an organic acid, or (4) another substance were considered. A model using gradient boosting methods was developed to predict the successful formation of COAMS for all four classes. The model was tested on data not seen during training and predicted 15 out of 19 examples correctly. In addition, the model was used to screen for new COAMS in binary systems of two APIs for inhalation therapy, as diseases such as tuberculosis, asthma, and COPD usually require complex multidrug-therapy. Three of these new API-API combinations were selected for experimental testing and co-processed via milling. The experiments confirmed the predictions of the model in all three cases. This data-driven model will facilitate and expedite the screening phase for new binary COAMS.

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Hoffman, Daniel, and Paul Strooper. "API documentation with executable examples." Journal of Systems and Software 66, no. 2 (May 2003): 143–56. http://dx.doi.org/10.1016/s0164-1212(02)00055-9.

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Schröder, Marc. "The SEMAINE API: Towards a Standards-Based Framework for Building Emotion-Oriented Systems." Advances in Human-Computer Interaction 2010 (2010): 1–21. http://dx.doi.org/10.1155/2010/319406.

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This paper presents the SEMAINE API, an open source framework for building emotion-oriented systems. By encouraging and simplifying the use of standard representation formats, the framework aims to contribute to interoperability and reuse of system components in the research community. By providing a Java and C++ wrapper around a message-oriented middleware, the API makes it easy to integrate components running on different operating systems and written in different programming languages. The SEMAINE system 1.0 is presented as an example of a full-scale system built on top of the SEMAINE API. Three small example systems are described in detail to illustrate how integration between existing and new components is realised with minimal effort.

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INOUE, Takeru, Hiroshi ASAKURA, Yukio UEMATSU, Hiroshi SATO, and Noriyuki TAKAHASHI. "Web API Database Systems for Rapid Web Application Development." IEICE Transactions on Information and Systems E93-D, no. 12 (2010): 3181–93. http://dx.doi.org/10.1587/transinf.e93.d.3181.

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Barry, M. G., M. E. Purcell, B. J. Eck, J. Hayes, and E. Arandia. "Web Services for Water Systems: The iWIDGET REST API." Procedia Engineering 89 (2014): 1120–27. http://dx.doi.org/10.1016/j.proeng.2014.11.233.

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Wadlin, Jill K., Gayle Hanko, Rebecca Stewart, John Pape, and Irving Nachamkin. "Comparison of Three Commercial Systems for Identification of Yeasts Commonly Isolated in the Clinical Microbiology Laboratory." Journal of Clinical Microbiology 37, no. 6 (1999): 1967–70. http://dx.doi.org/10.1128/jcm.37.6.1967-1970.1999.

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We evaluated three commercial systems (RapID Yeast Plus System; Innovative Diagnostic Systems, Norcross, Ga.; API 20C Aux; bioMerieux-Vitek, Hazelwood, Mo.; and Vitek Yeast Biochemical Card, bioMerieux-Vitek) against an auxinographic and microscopic morphologic reference method for the ability to identify yeasts commonly isolated in our clinical microbiology laboratory. Two-hundred one yeast isolates were compared in the study. The RapID Yeast Plus System was significantly better than either API 20C Aux (193 versus 167 correct identifications; P < 0.0001) or the Vitek Yeast Biochemical Card (193 versus 173 correct identifications;P = 0.003) for obtaining correct identifications to the species level without additional testing. There was no significant difference between results obtained with API 20C Aux and the Vitek Yeast Biochemical Card system (P = 0.39). The API 20C Aux system did not correctly identify any of the Candida krusei isolates (n = 23) without supplemental testing and accounted for the major differences between the API 20C Aux and RapID Yeast Plus systems. Overall, the RapID Yeast Plus System was easy to use and is a good system for the routine identification of clinically relevant yeasts.

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Charteris, William P., Phillip M. Kelly, Lorenzo Morelli, and J. Kevin Collins. "Quality control Lactobacillus strains for use with the API 50CH and API ZYM systems at 37 °C." Journal of Basic Microbiology 41, no. 5 (October 2001): 241. http://dx.doi.org/10.1002/1521-4028(200110)41:5<241::aid-jobm241>3.0.co;2-2.

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Abd Alrahman, Yehia, and Giulio Garbi. "A distributed API for coordinating AbC programs." International Journal on Software Tools for Technology Transfer 22, no. 4 (February 28, 2020): 477–96. http://dx.doi.org/10.1007/s10009-020-00553-4.

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Li, Ying, Shengpeng Liu, Ting Jin, and Honghao Gao. "WAAC: An End-to-End Web API Automatic Calls Approach for Goal-Oriented Intelligent Services." International Journal of Software Engineering and Knowledge Engineering 29, no. 10 (October 2019): 1539–55. http://dx.doi.org/10.1142/s0218194019500487.

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Web API recommendations have recently been studied extensively. However, recommending an API for a service is different than service intelligence. Web API automatic calls are widely used in question–answer dialog applications and service-composed workflow systems to achieve intelligent services. To finish an automatic Web API call not only requires the Web API ID, but also its input parameters. In this paper, we propose an end-to-end Web API automatic calls approach, named WAAC, that translates a goal’s natural language sentences directly to the Web API invoking sequences including its ID and parameters. This end-to-end approach based on the seq2seq encoder–decoder framework, adopts character-level RNN for the Chinese sentences and introduces a copying mechanism to retrieve API parameters. To train the network, a Chinese version dataset of over 1 million natural sentences and API invoking sequence pairs are generated with some manually labeled data and 72 real Web API invoking logs. Experiments obtain a 96% precision on predicting API invoking sequences and show that the character-level RNN and copying mechanism both contribute considerably to achieving a high precision Web API automatic call system for goal-oriented services.

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Chiș, Andrei. "A Modeling Method for Model-Driven API Management." Complex Systems Informatics and Modeling Quarterly, no. 25 (December 31, 2020): 1–18. http://dx.doi.org/10.7250/csimq.2020-25.01.

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This article reports on the Design Science engineering cycle for implementing a modeling method to support model-driven, process-centric API management. The BPMN standard was hereby enriched on semantic, syntactic and tool levels in order to provide a viable solution for integrating API requests with diagrammatic business process models in order to facilitate the documentation or testing of REST API calls directly in a modeling environment. The method can be implemented by stakeholders that need to map and manage their API ecosystem, thus gaining more API management agility and improving their software engineering productivity. By assimilating API ecosystem conceptualization in the modeling environment, the proposal differs from both RPA (which typically employs non-BPMN process diagramming e.g., in UIPath) and BPM Systems (which typically isolate all API-related semantics outside the process modeling language to keep the diagrammatic representation standard-compliant).

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Kritikos, William V., Andrew G. Schmidt, Ron Sass, Erik K. Anderson, and Matthew French. "Redsharc: A Programming Model and On-Chip Network for Multi-Core Systems on a Programmable Chip." International Journal of Reconfigurable Computing 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/872610.

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The reconfigurable data-stream hardware software architecture (Redsharc) is a programming model and network-on-a-chip solution designed to scale to meet the performance needs of multi-core Systems on a programmable chip (MCSoPC). Redsharc uses an abstract API that allows programmers to develop systems of simultaneously executing kernels, in software and/or hardware, that communicate over a seamless interface. Redsharc incorporates two on-chip networks that directly implement the API to support high-performance systems with numerous hardware kernels. This paper documents the API, describes the common infrastructure, and quantifies the performance of a complete implementation. Furthermore, the overhead, in terms of resource utilization, is reported along with the ability to integrate hard and soft processor cores with purely hardware kernels being demonstrated.

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Glybovets, M. M., K. V. Salata, and N. A. Tkach. "Construction of diagnostic expert-medical system using neural networks." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 384–91. http://dx.doi.org/10.15407/pp2020.02-03.384.

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In the article was discussed the methods (decision trees, deep learning algorithms, k-nearest neighbors, neural networks) to create diagnostic expert medical systems. For practice part were developed diagnostic API based on chosen classifiers that implement the algorithms and a study of their work was conducted. Namely, classifiers based on neural networks, decision trees and k-nearest neighbors method were compared. The parameters for the selected classifier were optimized. As a result, were selected parameters on which the data were researched. In addition, the dataset of information of patients who had heart attack was researched to develop a diagnostic system for revealing heart diseases. The diagnostic API for revealing patients’ heart diseases is described. Keywords: diagnostic systems, medical systems, neural networks, decision trees, diagnostic API.

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Chen, Xu Hui, Jia Chen, and Ping Zhu. "Research on Key Technologies of Windows CE API Interception." Advanced Engineering Forum 6-7 (September 2012): 26–31. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.26.

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Windows CE API interception technology can be used for monitoring various system services calls such as file systems, registry. API interception has a very important role on the Windows CE system software debugging and performance analysis. This paper introduces the main methods of the Windows CE API interception, discusses a number of key technologies involved, how to use these methods flexible, and gives a practical example.

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Bhagavathula, Akshaya Srikanth, and Jacques E. Raubenheimer. "A Real-Time Infodemiology Study on Public Interest in Mpox (Monkeypox) following the World Health Organization Global Public Health Emergency Declaration." Information 14, no. 1 (December 22, 2022): 5. http://dx.doi.org/10.3390/info14010005.

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Google Trends (GT) is a useful real-time surveillance tool for epidemic outbreaks such as monkeypox (Mpox). GT provides hour-by-hour (real-time) data for the last seven days of Google searches. Non-real-time data are a random sample that encompasses search trends from 2004 and up to 72 h. Google Health Trends (GHT) API extracts daily raw search probabilities relative to the time period and size of the underlying population. However, little is known about the utility of GT real-time surveillance and GHT API following the public health announcements. Thus, this study aimed to analyzed Mpox GT real-time, non-real-time, and GHT API data 72 h before and after the WHO declared Mpox a public health emergency of international concern (PHEIC) in the top five Mpox-affected countries. Joinpoint regression was used to measure hourly percentage changes (HPC) in search volume. The WHO PHEIC statement on Mpox generated 18,225.6 per 10 million Google searches in the U.S. and Germany (946.8), and in 0–4 h, the HPC increased by an average of 103% (95% CI: 37.4–200.0). This study showed the benefits of real-time surveillance and the GHT API for monitoring online demand for information on emerging infectious diseases such as Mpox.

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Park, Jeong Su, Ki Ho Hong, Hyun Jung Lee, Soon Hee Choi, Sang Hoon Song, Kyoung-Ho Song, Hong Bin Kim, Kyoung Un Park, Junghan Song, and Eui-Chong Kim. "Evaluation of three phenotypic identification systems for clinical isolates of Raoultella ornithinolytica." Journal of Medical Microbiology 60, no. 4 (April 1, 2011): 492–99. http://dx.doi.org/10.1099/jmm.0.020768-0.

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Raoultella spp. have recently been separated from the genus Klebsiella based on their molecular characteristics. It was discovered that Raoultella ornithinolytica can be misidentified as Klebsiella oxytoca by commonly used phenotypic identification systems. Therefore, this study evaluated the ability of three phenotypic systems to identify R. ornithinolytica compared with the genotypic methods sequence-specific primer PCR (SSP-PCR), 16S rRNA gene sequence analysis using the MicroSeq 500 system16S rDNA bacterial identification system or comparison with GenBank sequences using blast. The phenotypic systems examined in this study were the VITEK 2 GN ID card, the MicroScan Neg Combo 32 panel and API 20E. The SSP-PCR panel was able to distinguish the R. ornithinolytica reference strain from other Raoultella spp. and K. oxytoca. Of the 27 isolates identified as R. ornithinolytica by SSP-PCR, VITEK 2 identified all of them as R. ornithinolytica. MicroScan and API identified 25 isolates (92.6 %) and 24 isolates (88.9 %) as K. oxytoca, respectively. These isolates were ornithine decarboxylase (ODC) negative in all three phenotypic systems. MicroSeq 500 identified 24 isolates (88.9 %) as R. ornithinolytica, whereas GenBank identification was heterogeneous. Of the 68 isolates identified as K. oxytoca by SSP-PCR, 66 isolates (97.1 %) were identified as K. oxytoca by VITEK 2, MicroScan and API. MicroScan and API require additional biochemical tests to differentiate between ODC-negative R. ornithinolytica and K. oxytoca.

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Glez-Peña, Daniel, Anália Lourenço, Hugo López-Fernández, Miguel Reboiro-Jato, and Florentino Fdez-Riverola. "Web scraping technologies in an API world." Briefings in Bioinformatics 15, no. 5 (April 30, 2013): 788–97. http://dx.doi.org/10.1093/bib/bbt026.

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Ramani, Rama, Sally Gromadzki, David H. Pincus, Ira F. Salkin, and Vishnu Chaturvedi. "Efficacy of API 20C and ID 32C Systems for Identification of Common and Rare Clinical Yeast Isolates." Journal of Clinical Microbiology 36, no. 11 (1998): 3396–98. http://dx.doi.org/10.1128/jcm.36.11.3396-3398.1998.

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The abilities of the API 20C and ID 32C yeast identification systems to identify 123 common and 120 rare clinical yeast isolates were compared. API 20C facilitated correct identification of 97% common and 88% rare isolates while ID 32C facilitated correct identification of 92% common and 85% rare isolates.

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Coelho, Fabien, and François Irigoin. "API compilation for image hardware accelerators." ACM Transactions on Architecture and Code Optimization 9, no. 4 (January 2013): 1–25. http://dx.doi.org/10.1145/2400682.2400708.

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Johnson, Ian. "Open Machine Translation Core: An Open API for Machine Translation Systems." Prague Bulletin of Mathematical Linguistics 100, no. 1 (October 1, 2013): 91–100. http://dx.doi.org/10.2478/pralin-2013-0015.

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Abstract Open Machine Translation Core (OMTC) is a proposed open API that defines an application programming interface (API) for machine translation (MT) systems. The API defined is a service interface which can be used to underpin any type of MT application. It consists of components which allow programmers, with little effort, to integrate different MT back-ends into their applications since an OMTC compliant MT system presents a consistent interface. OMTC attempts to standardise the following aspects of an MT system: resources - the abstract representation of assets used e.g. documents and translation memories, sessions - a period of time in which a user interacts with the system, session negotiation - agreement on which services are to be provided, authorisation - integration with third party authorisation systems to prevent users performing unauthorised actions, scheduling - the management of long running MT tasks, machine translation engines - a representation of an entity capable of providing only MT, and translators - a conglomeration of, at least one of the following, an MT engine, a collection of translation memories, and a collection of glossaries.

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Barr, J. G., A. M. Emmerson, G. M. Hogg, and E. Smyth. "API-20NE and Sensititre Autoidentification systems for identifying Pseudomonas spp." Journal of Clinical Pathology 42, no. 10 (October 1, 1989): 1113–14. http://dx.doi.org/10.1136/jcp.42.10.1113.

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Paterson, T., and A. Law. "JEnsembl: a version-aware Java API to Ensembl data systems." Bioinformatics 28, no. 21 (September 3, 2012): 2724–31. http://dx.doi.org/10.1093/bioinformatics/bts525.

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Lim, Yan Yik, Azizi Miskon, and Ahmad Mujahid Ahmad Zaidi. "CuZn Complex Used in Electrical Biosensors for Drug Delivery Systems." Materials 15, no. 21 (November 1, 2022): 7672. http://dx.doi.org/10.3390/ma15217672.

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This paper is to discuss the potential of using CuZn in an electrical biosensor drug carrier for drug delivery systems. CuZn is the main semiconductor ingredient that has great promise as an electrochemical detector to trigger releases of active pharmaceutical ingredients (API). This CuZn biosensor is produced with a green metal of frameworks, which is an anion node in conductive polymers linked by bioactive ligands using metal–polymerisation technology. The studies of Cu, Zn, and their oxides are highlighted by their electrochemical performance as electrical biosensors to electrically trigger API. The three main problems, which are glucose oxidisation, binding affinity, and toxicity, are highlighted, and their solutions are given. Moreover, their biocompatibilities, therapeutic efficacies, and drug delivery efficiencies are discussed with details given. Our three previous investigations of CuZn found results similar to those of other authors’ in terms of multiphases, polymerisation, and structure. This affirms that our research is on the right track, especially that related to green synthesis using plant extract, CuZn as a nanochip electric biosensor, and bioactive ligands to bind API, which are limited to the innermost circle of the non-enzymatic glucose sensor category.

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Suetake, Hirotaka, Tomoya Tanjo, Manabu Ishii, Bruno P. Kinoshita, Takeshi Fujino, Tsuyoshi Hachiya, Yuichi Kodama, et al. "Sapporo: A workflow execution service that encourages the reuse of workflows in various languages in bioinformatics." F1000Research 11 (August 4, 2022): 889. http://dx.doi.org/10.12688/f1000research.122924.1.

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The increased demand for efficient computation in data analysis encourages researchers in biomedical science to use workflow systems. Workflow systems, or so-called workflow languages, are used for the description and execution of a set of data analysis steps. Workflow systems increase the productivity of researchers, specifically in fields that use high-throughput DNA sequencing applications, where scalable computation is required. As systems have improved the portability of data analysis workflows, research communities are able to share workflows to reduce the cost of building ordinary analysis procedures. However, having multiple workflow systems in a research field has resulted in the distribution of efforts across different workflow system communities. As each workflow system has its unique characteristics, it is not feasible to learn every single system in order to use publicly shared workflows. Thus, we developed Sapporo, an application to provide a unified layer of workflow execution upon the differences of various workflow systems. Sapporo has two components: an application programming interface (API) that receives the request of a workflow run and a browser-based client for the API. The API follows the Workflow Execution Service API standard proposed by the Global Alliance for Genomics and Health. The current implementation supports the execution of workflows in four languages: Common Workflow Language, Workflow Description Language, Snakemake, and Nextflow. With its extensible and scalable design, Sapporo can support the research community in utilizing valuable resources for data analysis.

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Moustafine, R. I. "Intermacromolecular interactions with Eudragit® copolymers as a new principle of the microparticulate oral drug delivery systems development." Kazan medical journal 97, no. 1 (February 15, 2016): 142–47. http://dx.doi.org/10.17750/kmj2016-142.

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The main trends of combining the chemically complementary types of (meth)acrylic copolymers of pharmaceutical-grade - Eudragit® in oral microparticulate systems with modified release (spheres, granules, capsules, etc.) - and the technological methods used in their manufacture, including various types of coating (single-layer, multi-layered, combined) are considered. It is noted that the processes that control the drugs release are based on pH-dependent intermacromolecular interaction of reactive groups between a pair of opposite charged Eudragit® copolymers both inside of spherical micro-matrix and inside the multilayer and combined coatings, allowing regulating both the degree and time of active pharmaceutical ingredients (API) release from pharmaceutical form. Using this principle allows to develop time-sensitive and pH-sensitive systems with a targeted API delivery to predetermined parts of the gastrointestinal tract, preferably to the colon, which is not only the optimal zone for absorption of many API, but also often requires treatment of inflammatory diseases of different origin. Analysis of these processes is of key importance to a better understanding of the mechanisms underlying the API transport from considered systems types, methods of their correction, modification of macromolecular parameters (such as the copolymer units charge density, the stoichiometry of the produced composition, the hydrophilic and hydrophobic fragments ratio in the polycomplexes structure affecting the swelling and resulting permeability of the system), as well as perspectives of (meth)acrylate polycomplexes use as a new class of carriers in the design of modern self-regulating, depending on the gastrointestinal tract physiological fluids pH, microparticulate oral API delivery systems.

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Chen, Jun, Shize Guo, Xin Ma, Haiying Li, Jinhong Guo, Ming Chen, and Zhisong Pan. "SLAM: A Malware Detection Method Based on Sliding Local Attention Mechanism." Security and Communication Networks 2020 (September 25, 2020): 1–11. http://dx.doi.org/10.1155/2020/6724513.

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Since the number of malware is increasing rapidly, it continuously poses a risk to the field of network security. Attention mechanism has made great progress in the field of natural language processing. At the same time, there are many research studies based on malicious code API, which is also like semantic information. It is a worthy study to apply attention mechanism to API semantics. In this paper, we firstly study the characters of the API execution sequence and classify them into 17 categories. Secondly, we propose a novel feature extraction method based on API execution sequence according to its semantics and structure information. Thirdly, based on the API data characteristics and attention mechanism features, we construct a detection framework SLAM based on local attention mechanism and sliding window method. Experiments show that our model achieves a better performance, which is a higher accuracy of 0.9723.

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Huang, Ting-Hao, Walter Lasecki, Alan Ritter, and Jeffrey Bigham. "Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (September 5, 2014): 22–23. http://dx.doi.org/10.1609/hcomp.v2i1.13200.

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Thousands of web APIs expose data and services that would be useful to access with natural dialog, from weather and sports to Twitter and movies. The process of adapting each API to a robust dialog system is difficult and time-consuming, as it requires not only programming but also anticipating what is mostly likely to be asked and how it is likely to be asked. We present a crowd-powered system able to generate a natural languageinterface for arbitrary web APIs from scratch without domain-dependent training data or knowledge.Our approach combines two types of crowd workers: non-expert Mechanical Turk workers interpret the functions of the API and elicit information from the user, and expert oDesk workers provide a minimal sufficient scaffolding around the API to allow us to make general queries.We describe our multi-stage process and present results for each stage.

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Journal articles on the topic 'API systems'

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