Internet of Things Fault Detection and Classification via Multitask Learning

This paper presents a comprehensive investigation into developing a fault detection and classification system for real-world IIoT applications. The study addresses challenges in data collection, annotation, algorithm development, and deployment. Using a real-world IIoT system, three phases of data collection simulate 11 predefined fault categories. We propose SMTCNN for fault detection and category classification in IIoT, evaluating its performance on real-world data. SMTCNN achieves superior specificity (3.5%) and shows significant improvements in precision, recall, and F1 measures compared to existing techniques.Comment: Under Review, International Conference on Embedded Wireless Systems and Networks (EWSN) 202

Ordering of Huge Biometric Information in Database System

The word biometrics is derived from the Greek words 'bios' and 'metric' which means living and calculation appropriately. Biometrics is the electronic identification of indi-viduals based on their physiological and biological features. Biometric attributes are data take out from biometric test which can be used for contrast with a biometric testi-monial. Biometrics composed methods for incomparable concede humans based upon one or more inherent material or behavioral characteristics. In Computer Science, bio-metrics is employed as a kind of recognition access management and access command. Biometrics has quickly seemed like an auspicious technology for attestation and has already found a place in the most sophisticated security areas. A systematic clustering technique has been there for partitioning huge biometric databases throughout recogni-tion. As we tend to are still obtaining the higher bin-miss rate, so this work is predicated on conceiving an ordering strategy for recognition of huge biometric database and with larger precision. This technique is based on the modified B+ tree that decreases the disk accesses. It reduced the information retrieval time and feasible error rates. The ordering technique is employed to proclaims a person’s identity with a reduced rate of differentia-tion instead of searching the whole database. The response time degenerates, further-more because the accuracy of the system deteriorates as the size of the database in-creases. Hence, for vast applications, the requirement to reduce the database to a little fragment seems to attain higher speeds and improved accuracy

Considerations in Designing Human-Computer Interfaces for Elderly People

As computing devices continue to become more heavily integrated into our lives, proper design of human-computer interfaces becomes a more important topic of discussion. Efficient and useful human-computer interfaces need to take into account the abilities of the humans who will be using such interfaces, and adapt to difficulties that different users may face – such as the difficulties that elderly users must deal with. Interfaces that allow for user-specific customization, while taking into account the multiple difficulties that older users might face, can assist the elderly in properly using these newer computing devices, and in doing so possibly achieving a better quality of life through the advanced technological support that these devices offer. In this paper, we explore common problems the elderly face when using computing devices and solutions developed for these problems. Difficulties ultimately fall into several categories: cognition, auditory, haptic, visual, and motor-based troubles. We also present an idea for a new adaptive operating system with advanced customizations that would simplify computing for older users

Factors Affecting Academic Performance of Undergraduate Students at International Islamic University Chittagong (IIUC), Bangladesh

This study was conducted to examine different factors influencing socio-economic background and the academic performance of undergraduate students enrolled at International Islamic University Chittagong (IIUC) with a view to assessing their individual performances and improvements. The assessment covers comparative achievements of different faculties of IIUC-Shariah & Islamic Studies, Business Administration, Science & Engineering, Arts &Humanities and Laws. The data were collected from 200 undergraduate students from different faculties of International Islamic University Chittagong (IIUC) through separate structured questionnaire using the simple random sampling technique. For analysis, simple percentage and linear regression model were run to evaluate comparative importance of the factors. The result shows that over all CGPA of IIUC student is 3.25 (Out of 4.00). Regression results of academic performance of students have varied from faculty to faculty. The result also reveals that age, gender, past academic track, medium of education and absence in the classes have also influenced the academic performances of a student. The study has covered the period of academic year Autumn-2013 to Spring-2014. Keywords: Socio-economic Background, Regression, Faculties, IIUC, Bangladesh

Recent Trend of Nanotechnology Applications to Improve Bio-accessibility of Lycopene by Nanocarrier: A Review

Lycopene, rich in red, yellow, or orange-colored fruits and vegetables, is the most potent antioxidant among the other carotenoids available in human blood plasma. It is evident that regular lycopene intake can prevent chronic diseases like cardiovascular diseases, type-2 diabetes, hypertension, kidney diseases and cancer. However, thermal processing, light, oxygen, and enzymes in gastrointestinal tract (GIT) compromise the bioaccessibility and bioavailability of lycopene ingested through diet. Nanoencapsulation provides a potential platform to prevent lycopene from light, air oxygen, thermal processing and enzymatic activity of the human digestive system. Physicochemical properties evidenced to be the potential indicator for determining the bioaccessibility of encapsulated bioactive compounds like lycopene. By manipulating the size or hydrodynamic diameter, zeta potential value or stability, polydispersity index or homogeneity and functional activity or retention of antioxidant properties observed to be the most prominent physicochemical properties to evaluate beneficial effect of implementation of nanotechnology on bioaccessibility study. Moreover, the molecular mechanism of the bioavailability of nanoparticles is not yet to be understood due to lack of comprehensive design to identify nanoparticles' behaviors if ingested through oral route as functional food ingredients. This review paper aims to study and leverage existing techniques about how nanotechnology can be used and verified to identify the bioaccessibility of lycopene before using it as a functional food ingredient for therapeutic treatments

Design criteria: urban WSS Bangladesh

Design criteria: urban WSS Banglades

ANALISIS WILLINGNESS TO PAY (WTP) MASYARAKAT TERHADAP PENINGKATAN PENGELOLAAN SAMPAH MELALUI TAMAN EDUKASI SAMPAH KELURAHAN PERUMNAS WAYKANDIS, KOTA BANDAR LAMPUNG

This study aims to analyze the willingness to pay the people of Perumnas Waykandis Village to improve waste management through a waste education park and analyze the effect of gender, age, education level, profession, and income on people’s willingness to pay. This study uses primary data obtained from surveys by distributing questionnaires to 95 respondents/households. The analytical tools used are the contingent valuation method (CVM) and multiple linear regressions. The contingent valuation method (CVM) aims to determine the WTP value and multiple linear regressions to determine the effect on the community’s willingness to pay to improve waste management through waste education parks. This study indicates that as many as 82 people (86%) of respondents are willing to pay for increased waste management through educational parks, and the remaining 13 (14%) respondents are not. Factors that influence people’s willingness to pay for improving waste management through waste education parks are age, education, and income factors. At the same time, the factors that do not affect people’s willingness to pay are gender and profession

PENGARUH DISIPLIN DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI DINAS PERKEBUNAN KABUPATEN WAY KANAN

Kedisiplinan merupakan fungsi operatif manajemen sumber daya manusia (MSDM) yang terpenting karena semakin baik disiplin pegawai, semakin tinggi prestasi kerja yang dapat dicapainya. Tanpa disiplin pegawai yang baik sulit bagi organisasi organisasi untuk mencapai hasil yang optimal.Metode yang digunakn yaitu Metode deskripsi adalah suatu metode dalam penelitian status kelompok manusia, suatu objek, suatu set kondisi, suatu sistem pemikiran, ataupun suatu kelas peristiwa pada masa sekarang. Penelitian ini juga merupakan penelitian kuantitatif adalah penelitian menggunakan angka, mulai dari pengumpulan data, penafsiran terhadap data, serta penampilan hasilnya.Adapun hasil penelitian yaitu bahwa terdapat pengaruh yang signifikan antara disiplin dengan kinerja pegawai di Dinas Perkebunan Kabupaten Way Kanan, bahwa uji hipotesis secara parsial yakni dari uji t atau t tes didapat t hitung sebesar 10,642 lebih besar dari t tabel 2.028 yakni  dengan tingkat signifikan sebesar 0,000. Terdapat pengaruh antara lngkungan kerja dengan kinerja pegawai di Dinas Perkebunan Kabupaten Way Kanan hal ini nampak pada hasil uji t atau t tes didapat t hitung sebesar 2,364 lebih besar dari t tabel 2.028 yakni  dengan tingkat signifikan sebesar 0,018. Dari uji-F atau pengujian secara simultan/keseluruhan, diperoleh nilai Fhitung adalah 56,851 lebih besar dibandingkan dengan nilai Ftabel sebesar 3,26 Hiptesis Disiplin (X1) dan Lingkungan Kerja (X2) secara bersama-sama atau simultan berpengaruh positif dan signifikan terhadap kinerja pegawai (Y) pada Dinas Perkebunan Kabupaten Way Kanan.Adapun implikasi yaitu Sebaiknya Dinas Perkebunan Kabupaten Way Kanan dapat lebih memprioritaskan budaya disiplin kepada para pegawai dengan membuat suatu peraturan yang tegas dan terukur guna meningkatkan kedisiplinan pegawai

PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing

Person re-identification is a critical privacy breach in publicly shared healthcare data. We investigate the possibility of a new type of privacy threat on publicly shared privacy insensitive large scale wearable sensing data. In this paper, we investigate user specific biometric signatures in terms of two contextual biometric traits, physiological (photoplethysmography and electrodermal activity) and physical (accelerometer) contexts. In this regard, we propose PhysioGait, a context-aware physiological signal model that consists of a Multi-Modal Siamese Convolutional Neural Network (mmSNN) which learns the spatial and temporal information individually and performs sensor fusion in a Siamese cost with the objective of predicting a person's identity. We evaluated PhysioGait attack model using 4 real-time collected datasets (3-data under IRB #HP-00064387 and one publicly available data) and two combined datasets achieving 89% - 93% accuracy of re-identifying persons.Comment: Accepted in IEEE MSN 2022. arXiv admin note: substantial text overlap with arXiv:2106.1190