Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Sign Language Recognition Systems: A Decade Systematic Literature Review

Abstract: Despite the importance of sign language recognition systems, there is a lack of a Systematic Literature Review and a classification scheme for it. This is the first identifiable academic literature review of sign language recognition systems. It provides an academic database of literature between the duration of 2007–2017 and proposes a classification scheme to classify the research articles. Three hundred and ninety six research articles were identified and reviewed for their direct relevance to sign language recognition systems. One hundred and seventeen research articles were subsequently selected, reviewed and classified. Each of 117 selected papers was categorized on the basis of twenty five sign languages and were further compared on the basis of six dimensions (data acquisition techniques, static/dynamic signs, signing mode, single/double handed signs, classification technique and recognition rate). The Systematic Literature Review and classification process was verified independently. Literature findings of this paper indicate that the major research on sign language recognition has been performed on static, isolated and single handed signs using camera. Overall, it will be hoped that the study may provide readers and researchers a roadmap to guide future research and facilitate knowledge accumulation and creation into the field of sign language recognition.

Optimal parameter settings for rough and finish machining of die steels in powder-mixed EDM

Abstract: The present study was undertaken to identify the appropriate parameter settings for rough and finish machined surface for EN31, H11, and high carbon high chromium (HCHCr) die steel materials in a powder-mixed electric discharge machining process. The effect of seven different process variables along with some of their interactions was evaluated using a dummy-treated experimental design and analysis of variance. Material removal rate (MRR), tool wear rate, and surface finish were measured after each trial and analyzed. The parameter settings for rough and finished machining operations were obtained. EN31 exhibited maximum MRR as compared to the other two materials at similar process settings. Copper (Cu) electrode with aluminum suspended in the dielectric maximized the MRR. Suspending powder in the dielectric resulted in surface modification. Graphite powder showed a lower MRR but improved the surface finish. HCHCr require higher current and pulse on settings for initiating a machining cut and works best in combination with tungsten–Cu electrode and graphite powder for improved finish. The MRR for H11 is lower than EN31 but significantly higher than HCHCr under same process conditions.

Fire Sensing Technologies: A Review

Abstract: The progress on fire sensing technologies has been quite substantial in recent years due to advancements in sensing, information, and communications technologies. In this paper, the authors have discussed the fire sensing technologies and what is essential for the discrepancies in the development of hardware and algorithm. The review presents an overview of the existing state-of-the-art practices in the areas of fire sensing and control system, and it is focused mainly on the excellent capability to detect fire, reduce the detection of false positives, the ability to notify the occupants, passes the information and the status of the fires to the fire department, and the automatic control capability of the occupants’ safety and controlling functions. The major elements of the fire moment, such as surrounding heat, flame, smoke, and gases level, are discussed with their merits, demerits, measurement benchmarks, and measuring the span of the parameters. The reasons and controlling parameters of the fire in commercial and residential buildings are also discussed. Research articles on fire sensing technologies also acknowledged the above concerns. However, the importance of robust systems that address all or most of the above-stated benchmarks still remains a challenge and partially addressed. To address the gaps, a modified fire sensing and control system concept has been proposed.