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fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div>Accepted Papers</div></h3></div></div></div></div></div></div></div></div></div></section><section id="h.4e32d309a551b6f5_59" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.4e32d309a551b6f5_56" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><p id="h.n1q830liypv1" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Leveraging Modern Hardware Tools and Utilizing Deep Learning Methods to Create an Assistance Method for Individuals with Visual Disorders</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Neeraj Rattehalli</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Ishan Jain</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer Engineering, East Palo Alto, USA, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer Engineering, Fremont, USA</span></p><p id="h.f4copv5c1j20" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Approximately 285 million individuals globally suffer from a visual disorder, rendering them unable to perform tasks and interact with the society around them. Because of such impairments that limit daily activities, disparities in society are prone to occur, causing visually disordered individuals to encounter disadvantages routinely. As a result, the affected population lacks the social and collaboration skills that are vital to an optimal quality of life. The social and psychological impacts of having a visual disorder is troublesome for most individuals. Many people experience bullying and harassment due to their inability to interact with society. With the constant uprising of disadvantages for people with visual disorders, these victims feel left out in society, leading to suicides and depression. Without the help of a sufficient and capable assistant, these individuals can live traumatizing lives. In the current market, there are few to none applications and devices that offer virtual assistance for individuals with visual disorders. Present applications simply involve situations in which victims need real-life human assistance for navigation and assistance. However, this requires various resources, time, and costs. On the contrary, in certain scenarios, if a particular patient does not have access to family members or friends who can assist them in their daily life, then there will be various resulting problems. Another method for patients to receive daily assistance is via a personal medical companion. There are various costs in this method, for the patient has to hire and pay for these services. Many patients do not have access to such resources. In the status quo, there are no efficient methods and services that can provide support for visually disabled individuals. In order to progress in daily activity, one must resort to digital and technological tools to receive access to companionship and assistance during a daily routine. Thus, we present the solution to the need for an artificially intelligent and computational approach for a virtual and self-trained device to provide aid for visually impaired individuals.</span></p><p id="h.6qx0np7iqlfy" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Machine Learning, Server processing, deep neural networks, gRPC.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.7rnp6aob1ess" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>A Proposed Framework for Building Semantic Search Engine with Map-reduce</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Abeer A. Amer</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Sarah S. Abulwafa</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Mohamed M. El-Hadi</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer and Information Systems, Sadat Academy, Alexandria, Egypt, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">MSc. Candidate of Computer and Information Systems, Sadat Academy, Cairo, Egypt, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer and Information Systems, Sadat Academy, Cairo, Egypt</span></p><p id="h.vsu3g3gleba0" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Every daily moment, people shares billion of information all over the world via the Internet, which makes in the other side large database stores for that web-based information. With the massive databases, Search Engines (SE) are increasing, they act as filters to allow users find information they are interested in easily and quickly. As Semantic search engines try to understand what a user is asking in a query by placing it in context through analysis of the query’s terms and language. This analysis is conducted against tightly pre-compiled pools of knowledge, potentially including knowledge about the user. Most of researchers did their best to convert such a traditional search engine to a Semantic one, but without giving any attention for the increasing of the generated indices. This paper proposes a framework for building semantic search engine using MapReduce for speeding up indexing and retrieving big ontological data.</span></p><p id="h.pk47v9kiloiw" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Semantic Search Engine, MapReduce, indexing, ontology.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.s4ps7q599we8" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>The role of public libraries for promoting reading within the family</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Md Solemanpharcy, Pondicherry University, India</span></p><p id="h.jp85oh3xc6v8" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">This paper goals to determine some examples of good practice accepted out in public libraries and their role of promoting reading within the everyday and in particular with parents and children. In this case, the family takes on the accountability of getting the book into the life of the child nearly from the time they are natural. Several libraries hold occasions which aim to bring parents and children, books and reading and ridiculous activities together and therefore inspire early interest in reading on the part of the child. This events effort on many stages, planning to train parents on how to take full benefit of books, to make them more aware of the profits of reading and how to make a good selection of reading material to support family promises and promote an improved and more balanced education for the child.</span></p><p id="h.nt3hx23bx13g" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Public library, family, family literacy, emergent literacys.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.rj8vacfncvxl" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>An Investigation of Modern Foreign Language (MFL) Teachers and their Attitudes to Computer Assisted Language Learning (Call) Amid the Covid-19 Health Pandemic</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Louise Hanna, David Barr, Helen Hou and Shauna McGill, School of Education, Ulster University</span></p><p id="h.7asjiuvyml3a" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">A study was performed with 33 Modern Foreign Language (MFL) teachers to afford insight into how classroom practitioners interact with Computer Assisted Language Learning (CALL) in Second Language (L2) pedagogy. A questionnaire with CALL specific statements was completed by MFL teachers who were recruited via UK based Facebook groups. Significantly, participants acknowledged a gap in practice from the expectation of CALL in the MFL classroom. Overall, respondents were shown to be interested and regular consumers of CALL who perceived its ease and importance in L2 teaching and learning.</span></p><p id="h.jcwqha0vp46" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Computer Assisted Language Learning (CALL), Modern Foreign Languages (MFL), teacher attitudes, digital technologies, Second Language (L2) pedagogy</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.fe8jbs10nqo3" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Prediction of Juvenile Crime Because of Drug Addiction & Prevention Strategies with Data & Analytics</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Meherun Nesa</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Tumpa Rani Saha</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer Science & Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalgonj, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Computer Science & Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalgonj</span></p><p id="h.49ntzllj7j1j" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">This paper proffers the concept of predicting juvenile crime because of drug addiction, using machine learning technique. Juvenile crime is the participation in the illegal behavior or committing crime where the age of the criminals are under 18. This research help to find out the causes of addiction to drugs as well as involvement in crimes. This study also proposes some prevention strategies. In this regard, the collection of dataset is of great importance. We have collected raw data from some drug addicted young people who are staying in drug rehabilitation center and some local young people who are not addicted to drugs. We have categorized the dataset into 31 attributes apart from target feature and the experiment is conducted with these factor analysis. The result predicts if there exist any association with crime or not. The Performance of prediction models are evaluated using Decision Tree, K-Nearest Neighbor, Support Vector Machine, Random Forest and XGBoost machine learning techniques. We use different measures for the evaluation of the classification quality and we also compares the result among these algorithms we have used. We also calculate features importance to detect which features are more liable for crime involvement according to this dataset.</span></p><p id="h.td409md62ei2" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Decision Tree, K-Nearest Neighbor, Support Vector Machine, Random Forest, XGBoost, Features Importance.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.pwf56yyz0vta" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Data Prediction of Deflection Basin Evolution of Asphalt Pavement Structure Based on Multi-level Neural Network</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Shaosheng Xu, Jinde Cao and Xiangnan Liu, School of Automation, Southeast University, Nanjing, China, School of Mathematics, Southeast University, Nanjing, China, School of Mathematics, Southeast University, Nanjing, China</span></p><p id="h.fp70vr6k7zoy" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Aiming at the high cost of test data collection of deflection basins in the structural design of asphalt pavement and the long test time of new structures, this paper innovatively designs a structure coding network based on traditional neural networks to map the pavement structure to an abstract space. Therefore, the generalization ability of the neural network structure is improved, and a new multi-level neural network model is formed to predict the evolution data of the deflection basin of the unknown structure. By testing the experimental data of RIOHTRACK, the network structure is effective for predicting the deflection basin data of unknown pavement structure.</span></p><p id="h.akzq8jv3xlk3" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">multi-level neural network, Encoding converter, structural of asphalt pavement, deflection basins, RIOHTRACK.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.64izspoqiv6i" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Stability analysis of quaternion-valued neural networks with leakage delay and additive time-varying delays</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Qun Huanga and Jinde Cao, School of Mathematics, Southeast University, China</span></p><p id="h.vtpbcpui685" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">In this paper, the stability analysis of quaternion-valued neural networks (QVNNs) with both leakage delay and additive time-varying delays is proposed. By employing the Lyapunov-Krasov skii functional method and fully considering the relationship between time-varying delays and upper bounds of delays, some sufficient criteria are derived based on reciprocally convex method and several inequality techniques. The stability criteria are established in two forms: quaternion- valued linear matrix inequalities (QVLMIs) and complex-valued linear matrix inequalities (CV- LMIs), in which CVLMIs can be directly resolved by the Yalmip toolbox in MATLAB. Finally, an illustrative example is presented to demonstrate the validity of the theoretical results.</span></p><p id="h.9j36fe3g27m8" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Quaternion-valued neural networks, Stability analysis, Lyapunov-Krasovskii functional, Leakage delay, Additive time-varying delays</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.hwfvqq9grd3j" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Social Humanoid Robot “Ai-gerim”</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zhumadil Baigunchekov</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1,2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Zhadyra Zhumasheva</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Bekzat Amanov</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Yernar Zholdassov</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Berik Sagitzhanov</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Alibek Tleukhanov</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Satbayev University, 22 Satpayev str., Almaty 050013, Republic of Kazakhstan, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty 050040, Republic of Kazakhstan</span></p><p id="h.o7jnjzxcgcb6" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">In this paper, a social humanoid robot “Ai-Gerim” is developed, which is remotely controlled and cheap due to the simplified design and control system. On the basis of this robot, the “Qamqor” system is created to provide employment for people with disabilities. This system allows the operator who is a person with disabilities, while at home, to remotely control the robot “Ai-Gerim” via the Internet, which performs service and other work in the user's institutions.</span></p><p id="h.elv8mhy4s6o7" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Social humanoid robot, Robotic system, Remote control.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.cozye4tyblc8" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Development of Iotbased Automated Irrigation System for Crop Farmers in Namibia</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Anton Limbo</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Ndakolute Set-Sakeus</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Valerianus Hashiyana</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Nalina Suresh</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Titus Haiduwa</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Martin Mabeifam Ujakpa</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">School of Computing, University of Namibia, Windhoek, Namibia, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Faculty of Information and Communication Technology, International University of management, Windhoek, Namibia</span></p><p id="h.rhndkdm0p5jy" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Namibia is a relatively dry country, characterized by high temperatures and low rainfall through the year. In light of that, the agricultural sector is commonly affected during the dry season which results in food insecurity, loss of jobs, crops and livestock. In Namibia, the agriculture sector accounts for about 70% of food security, 30% of livelihood and contributes about 6% toward Namibia’s gross domestic product (GDP). Hence, there is an urgent need to find remedies to avert the challenges inflicted on farmers during the prolonged dry season. One of the strategies is the application Internet of Things (IoT) in Agriculture. This paper discusses the development of a prototype of an automated irrigation system aimed to continuously monitor the soil moisture level and automatically activate the water pump whenever a certain threshold is met based on predefined criteria.</span></p><p id="h.ekmklqj6y08x" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Smart Irrigation system, Water Management, Internet of Things, Sensors, Arduino Uno.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q"><span class=" Apple-tab-span" style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline; white-space: pre;"> </span></p><p id="h.u9n3ktxjd4el" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>GDPR Compliance for Blockchain Applications in Healthcare</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Anton Hasselgren, Paul Kengfai Wan, Margareth Horn, Katina Kralevska, Danilo Gligoroski and Arild Faxvaag, NTNU, Norwegian University of Science and Technology, Trondheim, Norway</span></p><p id="h.2whbxuph47g8" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">The transparent and decentralized characteristics associated with blockchain can be both appealing and problematic when applied to a healthcare use-case. As health data is highly sensitive, it is also highly regulated to ensure the privacy of patients. At the same time, access to health data and interoperability is in high demand. Regulatory frameworks such as GDPR and HIPAA are, amongst other objectives, meant to contribute to mitigating the risk of privacy violations in health data. Blockchain features can likely improve interoperability and access control to health data, and at the same time, preserve or even increase, the privacy of patients. Blockchain applications should address compliance with the current regulatory framework to increase real-world feasibility. This exploratory work indicates that published proof-of-concepts in the health domain comply with GDRP, to an extent. Blockchain developers need to make design choices to be compliant with GDPR since currently, none available blockchain platform can show compliance out of the box.</span></p><p id="h.fg85st9w3q45" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Blockchain, DTL, health data, GDPR, privacy regulations.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.ksdcrhc0cn1u" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>The Temtum Consensus Algorithm – A Low Energy Replacement to Proof of Work</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Richard Dennis and Gareth Owenson, Department of Computing, University of Portsmouth, Portsmouth, United Kingdome</span></p><p id="h.2o7rm8lay9e" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">This paper presents a novel consensus algorithm deployed within the Temtum cryptocurrency network. An overview of the proof of work consensus algorithm is presented, and gaps in the research are outlined. The Temtum consensus algorithm's unique components, including the Node Participation Document (NPD) and the use of the NIST randomness beacon, are outlined and explained. Comparisons on the cost to attack the consensus algorithm and energy consumption between the Temtum consensus algorithm and Bitcoin’s proof of work is presented and evaluated. We conclude this paper summarising the findings of the research and presenting future work to be conducted.</span></p><p id="h.ab5evfamfj30" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Blockchain, Peer-to-Peer Networks, Cryptocurrencies, Consensus, Byzantine Fault Tolerance</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.vrm5yoojihy5" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Holochain-based Framework for Securing Communication in Teleradiology</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Amine Fayeta, Samir Belfkih and Habiba Chaoui, Systems Engineering Laboratory, ENSA Ibn Tofail University, Kenitra, Morocco</span></p><p id="h.q8ufzw60f7mg" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Teleradiology, an essential element of telemedicine and it is probably the most successful eHealth service available nowadays, functional for many years in several countries, it is based on the remote transmission of radiological images (e.g. X-ray and CT-images) over electronic networks. In order to enable them to receive appropriate diagnostic and curative care as quickly as possible, while reducing the number of unnecessary transfers for patients who do not have anything to gain from their transport, therefore, maintaining the security of data transmission is crucial Thus, we made us think about implementing the latest technologies which is Holochain on Teleradiology that will reduce Blockchain technology problems.</span></p><p id="h.g3mftnz8z1li" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Teleradiology, Holochain, Blockchain, X-Ray, CT-images</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><br></p><p id="h.r4hp1ptjxp6u" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Holochain-based Digital Forensics Investigation Framework for Evidence Preservation</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mouad Ben’nali</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Chaimae Saadi</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Habiba Chaoui</span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Systems Engineering Laboratory, </span><sup style="font-family: Bitter; font-size: 6.6pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Systems Analysis Laboratory,Information Processing and Industrial Management</span></p><p id="h.go9r305f3j49" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">The primary key to solve any crime, whether it is physical or a digital one lies in presenting authentic and unaltered evidence in front of court of law, this can only be achieved if the whole procedure meets legal standards defined by high entities. Maintaining a proper Chain of Custody will help demonstrate to the court that the investigation process followed the legal requirement in a way that protects the evidence's integrity and authenticity, otherwise the evidence will be inadmissible. Existing work on evidence preservation tends to rely on blockchain as a distributed ledger. to store the seized evidence, we all agree that blockchain has solved many issues of centralized architectures, even so , it is still not the best model to adopt when it comes to build a large-scale peer-to-peer distributed network due to its drawbacks such as transaction speed, scalability, and network overload. This paper proposes a fully distributed peer to peer forensic investigation framework based on a new approach called Holochain. The limitations of some related work have been addressed, furthermore the necessity of applying Holochain to ensure evidence’s integrity has been elaborated.</span></p><p id="h.w2nqwhpezsly" dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Bitter; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Digital Forensic, Investigation, Blockchain, Holochain, Validation Rules, Integrity, evidence.</span></p><p dir="ltr" class="CDt4Ke zfr3Q"><br></p></div></div></div></div></div></div></div></div></div></section></div><div class="Xpil1b xgQ6eb"></div><footer jsname="yePe5c"><section id="h.4e32d309a551b6f5_23" class="yaqOZd cJgDec nyKByd" style=""><div class="IFuOkc" style="background-size: cover; 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